Google Glasses

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Age of Context: Mobile, Sensors, Data and the Future of Privacy by Robert Scoble, Shel Israel

Albert Einstein, Apple II, augmented reality, call centre, Chelsea Manning, cloud computing, connected car, Edward Snowden, Edward Thorp, Elon Musk, factory automation, Filter Bubble, G4S, Google Earth, Google Glasses, Internet of things, job automation, John Markoff, Kickstarter, lifelogging, Marc Andreessen, Mars Rover, Menlo Park, Metcalfe’s law, New Urbanism, PageRank, pattern recognition, RFID, ride hailing / ride sharing, Robert Metcalfe, Saturday Night Live, self-driving car, sensor fusion, Silicon Valley, Skype, smart grid, social graph, speech recognition, Steve Jobs, Steve Wozniak, Steven Levy, Tesla Model S, Tim Cook: Apple, ubercab, urban planning, Zipcar

From a contextual perspective, we hold Google in particularly high regard, but the real game-changing development is the gadget Scoble is wearing on our back cover—Google Glass. Chapter 2 Through the Glass, Looking Right now, most of us look at the people with Google Glass like the dudes who first walked around with the big brick phones. Amber Naslund, SideraWorks The first of them went to Sergey Brin, Larry Page, and Eric Schmidt. Brin, who runs Project Glass, the company’s much-touted digital eyewear program, has rarely been seen in public again without them. Before anyone outside the company could actually touch the device, or see the world through its perspective, the hoopla had begun and has not stopped. Neither has the controversy. Google Glass is the flagship contextual device. It is the first consumer electronics gadget that uses a new kind of infrared eye sensor that watches your pupil.

We believe something monumental is taking place, something that could change your life and work, your children’s future and the world in which your unborn descendants will live. Not Another Day Scoble was the 107th person to receive a Google Glass prototype. He put them on and immediately started posting short notes on his social networks about his experience. He wore them when he went to Europe, making presentations at tech conferences and letting hundreds of people give his Glass device a quick try. After two weeks, he posted his first review to Google+, the default social network for Google Glass users, declaring “I’m never going to live another day without a wearable computer on my face.” To illustrate his point, his wife Maryam photographed him in the shower wearing his Glass. Some scorned the stunt. “If Google Glass fails, it is Robert Scoble’s fault,” bemoaned author-speaker Peter Shankman in a blog post. Larry Page, Google’s CEO, told Scoble in front of a large audience that he “did not appreciate” the shower photo.

Just as advertisers are catching up on the last generation of devices such as phones and tablets, a new generation is coming in the form of wearable devices such as Google Glass, the Pebble smart watch and even computerized socks. These spell trouble for advertisers because the new devices either have tiny screens or no screens at all. As of this writing, Google has placed temporary advertising bans on Google+, Google Now and Google Glass. But the world’s largest online ad platform is going to have to make money in the Age of Context somehow. We think a new form of Pinpoint Marketing is the answer. We also think it will be popular with users and even more lucrative for Google than ads have been. The solution we envision will be in the form of micro commissions. Google Glass will know not only where you are but whether you are driving, on foot or riding a bicycle.


pages: 677 words: 206,548

Future Crimes: Everything Is Connected, Everyone Is Vulnerable and What We Can Do About It by Marc Goodman

23andMe, 3D printing, active measures, additive manufacturing, Affordable Care Act / Obamacare, Airbnb, airport security, Albert Einstein, algorithmic trading, artificial general intelligence, Asilomar, Asilomar Conference on Recombinant DNA, augmented reality, autonomous vehicles, Baxter: Rethink Robotics, Bill Joy: nanobots, bitcoin, Black Swan, blockchain, borderless world, Brian Krebs, business process, butterfly effect, call centre, Charles Lindbergh, Chelsea Manning, cloud computing, cognitive dissonance, computer vision, connected car, corporate governance, crowdsourcing, cryptocurrency, data acquisition, data is the new oil, Dean Kamen, disintermediation, don't be evil, double helix, Downton Abbey, drone strike, Edward Snowden, Elon Musk, Erik Brynjolfsson, Filter Bubble, Firefox, Flash crash, future of work, game design, global pandemic, Google Chrome, Google Earth, Google Glasses, Gordon Gekko, high net worth, High speed trading, hive mind, Howard Rheingold, hypertext link, illegal immigration, impulse control, industrial robot, Intergovernmental Panel on Climate Change (IPCC), Internet of things, Jaron Lanier, Jeff Bezos, job automation, John Harrison: Longitude, John Markoff, Joi Ito, Jony Ive, Julian Assange, Kevin Kelly, Khan Academy, Kickstarter, knowledge worker, Kuwabatake Sanjuro: assassination market, Law of Accelerating Returns, Lean Startup, license plate recognition, lifelogging, litecoin, low earth orbit, M-Pesa, Mark Zuckerberg, Marshall McLuhan, Menlo Park, Metcalfe’s law, MITM: man-in-the-middle, mobile money, more computing power than Apollo, move fast and break things, move fast and break things, Nate Silver, national security letter, natural language processing, obamacare, Occupy movement, Oculus Rift, off grid, offshore financial centre, optical character recognition, Parag Khanna, pattern recognition, peer-to-peer, personalized medicine, Peter H. Diamandis: Planetary Resources, Peter Thiel, pre–internet, RAND corporation, ransomware, Ray Kurzweil, refrigerator car, RFID, ride hailing / ride sharing, Rodney Brooks, Ross Ulbricht, Satoshi Nakamoto, Second Machine Age, security theater, self-driving car, shareholder value, Silicon Valley, Silicon Valley startup, Skype, smart cities, smart grid, smart meter, Snapchat, social graph, software as a service, speech recognition, stealth mode startup, Stephen Hawking, Steve Jobs, Steve Wozniak, strong AI, Stuxnet, supply-chain management, technological singularity, telepresence, telepresence robot, Tesla Model S, The Future of Employment, The Wisdom of Crowds, Tim Cook: Apple, trade route, uranium enrichment, Wall-E, Watson beat the top human players on Jeopardy!, Wave and Pay, We are Anonymous. We are Legion, web application, Westphalian system, WikiLeaks, Y Combinator, zero day

Tracking, Monitoring, and Wearable Tech,” Symantec Security Response, July 30, 2014. 5 Google has already: “Google Partners with Ray-Ban, Oakley for New Glass Designs,” NBC News, March 24, 2014; Deloitte, Technology, Media, and Telecommunications Predictions, 2014, 10. 6 The fear of filming: Richard Gray, “The Places Where Google Glass Is Banned,” Telegraph, Dec. 4, 2013. 7 In fact, hackers had already: Andy Greenberg, “Google Glass Has Already Been Hacked by Jailbreakers,” Forbes, April 26, 2013. 8 The GPS features: Mark Prigg, “Google Glass HACKED to Transmit Everything You See and Hear: Experts Warn ‘the Only Thing It Doesn’t Know Are Your Thoughts,’ ” Mail Online, May 2, 2013. 9 While your grandma: John Zorabedian, “Spyware App Turns the Privacy Tables on Google Glass Wearers,” Naked Security, March 25, 2014. 10 Given the pace: Katherine Bourzac, “Contact Lens Computer: Like Google Glass, Without the Glasses,” MIT Technology Review, June 7, 2013. 11 The device is in early stages: Leo King, “Google Smart Contact Lens Focuses on Healthcare Billions,” Forbes, July 15, 2014. 12 Not to be outdone: Bourzac, “Contact Lens Computer.” 13 The historic operation: N.

Even the former head of the Department of Homeland Security (DHS) Michael Chertoff has raised privacy and public policy concerns about Google Glass. He rightfully asked who owned the users’ video data and whether the entire video database would be mined and analyzed for commercial purposes. One could also legitimately ask about government access to these data, either retrospectively or in real time, for reasons ranging from crime fighting to “national security.” Consider the implications for a moment: By using Google Glass, are you granting the company the right to capture all the live-streaming moments of your daily life, everything you see and hear, so that it can sell these data to advertisers? For example, if, while you were wearing the glasses making your morning coffee in your bathrobe, the Google Glass vision algorithm recognized the object in your field of view as a coffeepot (entirely possible), might you start seeing coupons for Starbucks on your eyeglass screens?

As noted in earlier chapters, with observations by both Mr. Burns of The Simpsons and Mr. Chertoff of Homeland Security, with all of Google Glass’s power and connectivity come a host of privacy and public policy issues. But there are important security threats to be considered as well. The fear of filming has led to Google Glass’s being banned in a number of public venues, including sporting events, concerts, gym locker rooms, bars, restaurants, strip clubs, casinos, hospitals, and U.K. movie theaters. Cited reasons for the prohibitions against the device include everything from card counting to film piracy and industrial espionage. But there is another concern. Google Glass can be hacked to secretly take photographs and record video, silently streaming the data to Crime, Inc. anywhere in the world, all without the knowledge of the device’s owner.


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The Age of Surveillance Capitalism by Shoshana Zuboff

Amazon Web Services, Andrew Keen, augmented reality, autonomous vehicles, barriers to entry, Bartolomé de las Casas, Berlin Wall, bitcoin, blockchain, blue-collar work, book scanning, Broken windows theory, California gold rush, call centre, Capital in the Twenty-First Century by Thomas Piketty, Cass Sunstein, choice architecture, citizen journalism, cloud computing, collective bargaining, Computer Numeric Control, computer vision, connected car, corporate governance, corporate personhood, creative destruction, cryptocurrency, dogs of the Dow, don't be evil, Donald Trump, Edward Snowden, en.wikipedia.org, Erik Brynjolfsson, facts on the ground, Ford paid five dollars a day, future of work, game design, Google Earth, Google Glasses, Google X / Alphabet X, hive mind, impulse control, income inequality, Internet of things, invention of the printing press, invisible hand, Jean Tirole, job automation, Johann Wolfgang von Goethe, John Markoff, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, Joseph Schumpeter, Kevin Kelly, knowledge economy, linked data, longitudinal study, low skilled workers, Mark Zuckerberg, market bubble, means of production, multi-sided market, Naomi Klein, natural language processing, Network effects, new economy, Occupy movement, off grid, PageRank, Panopticon Jeremy Bentham, pattern recognition, Paul Buchheit, performance metric, Philip Mirowski, precision agriculture, price mechanism, profit maximization, profit motive, recommendation engine, refrigerator car, RFID, Richard Thaler, ride hailing / ride sharing, Robert Bork, Robert Mercer, Second Machine Age, self-driving car, sentiment analysis, shareholder value, Shoshana Zuboff, Silicon Valley, Silicon Valley ideology, Silicon Valley startup, slashdot, smart cities, Snapchat, social graph, social web, software as a service, speech recognition, statistical model, Steve Jobs, Steven Levy, structural adjustment programs, The Future of Employment, The Wealth of Nations by Adam Smith, Tim Cook: Apple, two-sided market, union organizing, Watson beat the top human players on Jeopardy!, winner-take-all economy, Wolfgang Streeck

David DiSalvo, “The Banning of Google Glass Begins (and They Aren’t Even Available Yet),” Forbes, March 10, 2013, http://www.forbes.com/sites/daviddisalvo/2013/03/10/the-ban-on-google-glass-begins-and-they-arent-even-available-yet; David Streitfeld, “Google Glass Picks Up Early Signal: Keep Out,” New York Times, May 6, 2013, http://www.nytimes.com/2013/05/07/technology/personaltech/google-glass-picks-up-early-signal-keep-out.html. 75. Aaron Smith, “U.S. Views of Technology and the Future,” Pew Research Center: Internet, Science & Tech (blog), April 17, 2014, http://www.pewinternet.org/2014/04/17/us-views-of-technology-and-the-future. 76. Drew FitzGerald, “Now Google Glass Can Turn You into a Live Broadcast,” Wall Street Journal, June 24, 2014, http://www.wsj.com/articles/now-google-glass-can-turn-you-into-a-live-broadcast-1403653079. 77.

Jay Kothari, “A New Chapter for Glass,” Team at X (blog), July 18, 2017, https://blog.x.company/a-new-chapter-for-glass-c7875d40bf24. 83. See, for example, Darrell Etherington, “Google Glass Is Back with Hardware Focused on the Enterprise,” TechCrunch (blog), July 18, 2017, http://social.techcrunch.com/2017/07/18/google-glass-is-back-with-hardware-focused-on-the-enterprise; Hayley Tsukayama, “Google Will Stop Selling Glass to the General Public, but Google Says the Device Is Not Dead Yet,” Washington Post, January 15, 2015, https://www.washingtonpost.com/news/the-switch/wp/2015/01/15/google-will-stop-selling-glass-to-the-general-public-but-google-says-the-device-is-not-dead-yet; Brid-Aine Parnell, “NYPD Dons Google Tech Specs: Part Man. Part Machine. All Glasshole,” Register, February 10, 2014, http://www.theregister.co.uk/2014/02/10/nypd_tests_google_glass. 84. Arnold Roosendaal, “Facebook Tracks and Traces Everyone: Like This!”

The invasive practices introduced with Buzz—it commandeered users’ private information to establish their social networks by fiat—set off a fresh round of the dispossession cycle and its dramatic contests. As Google learned to successfully redirect supply routes, evading and nullifying opposition, it became even more emboldened to let slip the dogs of audacity and direct them toward havoc. Among many examples, Google Glass neatly illustrates the tenacity of the extraction imperative and its translation into commercial practice. Google Glass combined computation, communication, photography, GPS tracking, data retrieval, and audio and video recording capabilities in a wearable format patterned on eyeglasses. The data it gathered—location, audio, video, photos, and other personal information—moved from the device to Google’s servers, merging with other supply routes to join the titanic one-way flow of behavioral surplus.


pages: 391 words: 105,382

Utopia Is Creepy: And Other Provocations by Nicholas Carr

Air France Flight 447, Airbnb, Airbus A320, AltaVista, Amazon Mechanical Turk, augmented reality, autonomous vehicles, Bernie Sanders, book scanning, Brewster Kahle, Buckminster Fuller, Burning Man, Captain Sullenberger Hudson, centralized clearinghouse, Charles Lindbergh, cloud computing, cognitive bias, collaborative consumption, computer age, corporate governance, crowdsourcing, Danny Hillis, deskilling, digital map, disruptive innovation, Donald Trump, Electric Kool-Aid Acid Test, Elon Musk, factory automation, failed state, feminist movement, Frederick Winslow Taylor, friendly fire, game design, global village, Google bus, Google Glasses, Google X / Alphabet X, Googley, hive mind, impulse control, indoor plumbing, interchangeable parts, Internet Archive, invention of movable type, invention of the steam engine, invisible hand, Isaac Newton, Jeff Bezos, jimmy wales, Joan Didion, job automation, Kevin Kelly, lifelogging, low skilled workers, Marc Andreessen, Mark Zuckerberg, Marshall McLuhan, means of production, Menlo Park, mental accounting, natural language processing, Network effects, new economy, Nicholas Carr, Norman Mailer, off grid, oil shale / tar sands, Peter Thiel, plutocrats, Plutocrats, profit motive, Ralph Waldo Emerson, Ray Kurzweil, recommendation engine, Republic of Letters, robot derives from the Czech word robota Czech, meaning slave, Ronald Reagan, self-driving car, SETI@home, side project, Silicon Valley, Silicon Valley ideology, Singularitarianism, Snapchat, social graph, social web, speech recognition, Startup school, stem cell, Stephen Hawking, Steve Jobs, Steven Levy, technoutopianism, the medium is the message, theory of mind, Turing test, Whole Earth Catalog, Y Combinator

Yes, the online is as much a part of “real life” as the offline—civilization and its inhabitants have always been, to borrow Walter Ong’s term, “technologized”; reality has always been mediated—but the fact that the two realms of experience, the two states of being, are blurring, and blurring quickly, should spur us to think critically about the consequences of that blurring, not to conclude that the blurring turns a real distinction into a fiction, as if when you whisk oil and vinegar into a salad dressing, you whisk oil and vinegar out of existence. To exaggerate a distinction seems a lesser crime than to pretend it doesn’t exist. GOOGLE GLASS AND CLAUDE GLASS September 19, 2012 GOOGLE COFOUNDER SERGEY BRIN made a stir earlier this month when he catted about New York Fashion Week with a Google Glass wrapped around his bean. It was something of a coming-out party for Google’s reality-augmentation device, which promises to democratize the head-up display, giving us all a fighter pilot’s view of the world. Diane von Furstenberg got Glassed. So did Sarah Jessica Parker. Wendi Murdoch seemed impressed by the cyborgian adornment, as did her husband, Rupert, who promptly tweeted, “Genius!” Google Glass is shaping up to be the biggest thing to hit the human brow since Olivia Newton-John’s headband. Let’s get post-physical.

As Leo Marx explained in The Machine in the Garden, “When a viewer used the Claude Glass the landscape was transformed into a provisional work of art, framed and suffused by a golden tone like that of the master’s paintings.” The glass “helped create a pastoral illusion.” Where a Claude Glass bathed landscapes in a soft painterly light, a Google Glass bathes them in hard data. It gives its owner the eyes not of an artist but of an analyst. Instead of a pastoral illusion, you get a computational one. But while the perspectives displayed by the two gadgets couldn’t be more different, the Claude Glass and the Google Glass share some important qualities. Both tell us that our senses are insufficient, that manufactured vision is superior to what our own meager eyeballs can reveal to us. And both turn the world into a packaged good—a product to be consumed. A Google Glass is superior to a Claude Glass in this regard. Not only does it present an enhanced version of reality, but it annotates the world with a profusion of descriptive text and other explanatory symbols—and then, with its camera and its uplinks to social networks, it allows us to share the product.

THE MEANS OF CREATIVITY VAMPIRES BEHIND THE HEDGEROW, EATING GARBAGE THE SOCIAL GRAFT SEXBOT ACES TURING TEST LOOKING INTO A SEE-THROUGH WORLD GILLIGAN’S WEB COMPLETE CONTROL EVERYTHING THAT DIGITIZES MUST CONVERGE RESURRECTION ROCK-BY-NUMBER RAISING THE VIRTUAL CHILD THE IPAD LUDDITES NOWNESS CHARLIE BIT MY COGNITIVE SURPLUS MAKING SHARING SAFE FOR CAPITALISTS THE QUALITY OF ALLUSION IS NOT GOOGLE SITUATIONAL OVERLOAD AND AMBIENT OVERLOAD GRAND THEFT ATTENTION MEMORY IS THE GRAVITY OF MIND THE MEDIUM IS McLUHAN FACEBOOK’S BUSINESS MODEL UTOPIA IS CREEPY SPINELESSNESS FUTURE GOTHIC THE HIERARCHY OF INNOVATION RIP. MIX. BURN. READ. LIVE FAST, DIE YOUNG, AND LEAVE A BEAUTIFUL HOLOGRAM ONLINE, OFFLINE, AND THE LINE BETWEEN GOOGLE GLASS AND CLAUDE GLASS BURNING DOWN THE SCHOOLHOUSE THE ENNUI OF THE INTELLIGENT MACHINE REFLECTIONS WILL GUTENBERG LAUGH LAST? THE SEARCHERS ETERNAL SUNSHINE OF THE SPOTLESS AI MAX LEVCHIN HAS PLANS FOR US EVGENY’S LITTLE PROBLEM THE SHORTEST CONVERSATION BETWEEN TWO POINTS HOME AWAY FROM HOME CHARCOAL, SHALE, COTTON, TANGERINE, SKY SLUMMING WITH BUDDHA THE QUANTIFIED SELF AT WORK MY COMPUTER, MY DOPPELTWEETER UNDERWEARABLES THE BUS THE MYTH OF THE ENDLESS LADDER THE LOOM OF THE SELF TECHNOLOGY BELOW AND BEYOND OUTSOURCING DAD TAKING MEASUREMENT’S MEASURE SMARTPHONES ARE HOT DESPERATE SCRAPBOOKERS OUT OF CONTROL OUR ALGORITHMS, OURSELVES TWILIGHT OF THE IDYLLS THE ILLUSION OF KNOWLEDGE WIND-FUCKING THE SECONDS ARE JUST PACKED MUSIC IS THE UNIVERSAL LUBRICANT TOWARD A UNIFIED THEORY OF LOVE <3S AND MINDS IN THE KINGDOM OF THE BORED, THE ONE-ARMED BANDIT IS KING THESES IN TWEETFORM THE EUNUCH’S CHILDREN: ESSAYS AND REVIEWS FLAME AND FILAMENT IS GOOGLE MAKING US STUPID?


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I Hate the Internet: A Novel by Jarett Kobek

Anne Wojcicki, Burning Man, disruptive innovation, East Village, Edward Snowden, Golden Gate Park, Google bus, Google Glasses, Google X / Alphabet X, immigration reform, indoor plumbing, informal economy, Jeff Bezos, liberation theology, Mark Zuckerberg, MITM: man-in-the-middle, Norman Mailer, nuclear winter, packet switching, PageRank, Peter Thiel, quantitative easing, Ray Kurzweil, rent control, Ronald Reagan, Silicon Valley, Steve Jobs, technological singularity, Triangle Shirtwaist Factory, union organizing, V2 rocket, Vernor Vinge, wage slave, Whole Earth Catalog

Over the summer, news had broken that Sergey Brin was having an affair with an underling at Google X. Google X was an experimental lab that developed products like driverless cars, dogs that don’t need to lick their own genitals, and Google Glass. Google Glass was a wearable computer built into a pair of ugly eyeglasses. Google Glass allowed its wearers to act out their social inadequacies. They could record videos with Google Glass and alienate everyone in their surrounding vicinity. Sergey Brin’s sexual dalliance was with the Marketing Manager for Google Glass. He had internalized his company’s business model. “I told you,” said Christine. “Google X is just picking up chicks.” Adeline decided to go home. Christine saw Adeline to the door. Adeline was in the hallway. “There’s something I need to tell you,” said Christine.

It was a large number of Latino youth. They were drunk and they were stoned and they were screaming. They were celebrating 2014. She heard a bus pulling up opposite her. It was a Google bus. The door of the Google bus opened. A team of twenty engineers emerged. They all sported Google Glass, a wearable computer built into eyeglasses. The principle virtue of Google Glass was that it allowed its wearers to record videos and thus act out their social inadequacies by alienating everyone around them. Adeline made a clucking noise about the team of engineers wearing Google Glass. She thought that they looked simply absurd. Then Adeline remembered she was still wearing 2014 on her face. The engineers all wore matching t-shirts which read: GOOGLE GOES GAGA. They were lead by a diminutive little man who wore black vinyl pants from the 1990s.


pages: 398 words: 105,032

Soonish: Ten Emerging Technologies That'll Improve And/or Ruin Everything by Kelly Weinersmith, Zach Weinersmith

2013 Report for America's Infrastructure - American Society of Civil Engineers - 19 March 2013, 23andMe, 3D printing, Airbnb, Alvin Roth, augmented reality, autonomous vehicles, connected car, double helix, Elon Musk, en.wikipedia.org, Google Glasses, hydraulic fracturing, industrial robot, information asymmetry, Kickstarter, low earth orbit, market design, megastructure, microbiome, moral hazard, multiplanetary species, orbital mechanics / astrodynamics, personalized medicine, placebo effect, Project Plowshare, QR code, Schrödinger's Cat, self-driving car, Skype, stem cell, Tunguska event

The later ones tend to be really excited about how Google Glass is gonna change everything. Whoops. Google Glass is generally considered to have failed because when people see you wearing it, they want to punch you in the face. No, really. For instance, in 2013 the CEO of Meetup.com literally said to Business Insider reporters, “Google Glass? I’m definitely gonna punch someone in the face wearing Google Glasses.” So one feature you’d want in the future of AR is a display that doesn’t get you punched in the face by tech millionaires. The trick there may be miniaturization. Innovega is one company working on an AR contact lens. It’s not quite to the point where a contact lens can do the whole job, though. In fact, you have to wear a special pair of glasses over the contact lens. On the plus side, unlike Google Glass, it pretty much actually looks like a pair of glasses.

New York: Springer, 2015. Glover, Asha. “NRC’s ‘All or Nothing’ Licensing Process Doesn’t Work, Former Commissioner Says.” Morning Consult.com, April 29, 2016. morningconsult.com/alert/nrcs-nothing-licensing-process-doesnt-work-former-commissioner-says. Goodman, Daniel, and Angelova, Kamelia. “TECH STAR: I Want To Punch Anyone Wearing Google Glass in the Face.” BusinessInsider, May 10, 2013. businessinsider.com/meetup-ceo-scott-heiferman-on-google-glass-2013-5. (Note: The video on this page is no longer working.) Graber, John. “SpriteMods.com’s 3D Printer Makes Food Dye Designs in JELLO.” 3D Printer World. January 4, 2014. 3dprinterworld.com/article/spritemodscoms-3d-printer-makes-food-dye-designs-jello. Gramazio, Fabio, and Kohler, Matthias, ed. “Special Issue: Made by Robots: Challenging Architecture at a Larger Scale.”

The study we read only had six participants, but all six of them seemed to come away from the experience with lessened phobias that were maintained over time. Of course, maybe they just said that to make Dr. Botella stop. Finally, we’re particularly excited about DAQRI’s Smart Helmet. The innovators at DAQRI made an interesting observation—hard hats can be modified to include AR without fundamentally changing anything about hard hats. The sensor and computers are embedded in the hat and the visuals are displayed on the eye shield. Maybe Google Glass should take a cue from DAQRI: If you wear a work helmet along with your computer, you don’t look like an asshole. Plus, if the CEO of Meetup.com tries to punch you in the face, well, you’ve got some protection. These Smart Helmets have the potential to make us much more efficient and perhaps save a lot of lives. We spoke with Gaia Dempsey at DAQRI, and she told us about a recent study done by DAQRI, Boeing, and Iowa State University, comparing training with AR to traditional training.


pages: 361 words: 81,068

The Internet Is Not the Answer by Andrew Keen

"Robert Solow", 3D printing, A Declaration of the Independence of Cyberspace, Airbnb, AltaVista, Andrew Keen, augmented reality, Bay Area Rapid Transit, Berlin Wall, bitcoin, Black Swan, Bob Geldof, Burning Man, Cass Sunstein, citizen journalism, Clayton Christensen, clean water, cloud computing, collective bargaining, Colonization of Mars, computer age, connected car, creative destruction, cuban missile crisis, David Brooks, disintermediation, disruptive innovation, Donald Davies, Downton Abbey, Edward Snowden, Elon Musk, Erik Brynjolfsson, Fall of the Berlin Wall, Filter Bubble, Francis Fukuyama: the end of history, Frank Gehry, Frederick Winslow Taylor, frictionless, full employment, future of work, gig economy, global village, Google bus, Google Glasses, Hacker Ethic, happiness index / gross national happiness, income inequality, index card, informal economy, information trail, Innovator's Dilemma, Internet of things, Isaac Newton, Jaron Lanier, Jeff Bezos, job automation, Joi Ito, Joseph Schumpeter, Julian Assange, Kevin Kelly, Kickstarter, Kodak vs Instagram, Lean Startup, libertarian paternalism, lifelogging, Lyft, Marc Andreessen, Mark Zuckerberg, Marshall McLuhan, Martin Wolf, Metcalfe’s law, move fast and break things, move fast and break things, Nate Silver, Nelson Mandela, Network effects, new economy, Nicholas Carr, nonsequential writing, Norbert Wiener, Norman Mailer, Occupy movement, packet switching, PageRank, Panopticon Jeremy Bentham, Paul Graham, peer-to-peer, peer-to-peer rental, Peter Thiel, plutocrats, Plutocrats, Potemkin village, precariat, pre–internet, RAND corporation, Ray Kurzweil, ride hailing / ride sharing, Robert Metcalfe, Second Machine Age, self-driving car, sharing economy, Silicon Valley, Silicon Valley ideology, Skype, smart cities, Snapchat, social web, South of Market, San Francisco, Steve Jobs, Steve Wozniak, Steven Levy, Stewart Brand, TaskRabbit, Ted Nelson, telemarketer, The Future of Employment, the medium is the message, the new new thing, Thomas L Friedman, Travis Kalanick, Tyler Cowen: Great Stagnation, Uber for X, uber lyft, urban planning, Vannevar Bush, Whole Earth Catalog, WikiLeaks, winner-take-all economy, working poor, Y Combinator

Another smart clothing company, Heapsylon, even had a sports bra made of textile electrodes designed to monitor its wearer’s vital statistics.22 While Google wasn’t officially represented in the Augmented Reality Pavilion, there were plenty of early adopters wandering around the Venetian’s fake piazzas and canals wearing demonstration models of Google Glass, Google’s networked electronic eyeglasses. Michael Chertoff, the former US secretary of homeland security, described these glasses, which have been designed to take both continuous video and photos of everything they see, as inaugurating an age of “ubiquitous surveillance.”23 Chertoff is far from alone is being creeped out by Google Glass. Several San Francisco bars have banned Google Glass wearers—known locally as “Glassholes”—from entry. The US Congress has already launched an inquiry into their impact on privacy. And in June 2013, privacy and data officials from seven countries, including Canada, Australia, Mexico, and Switzerland, sent Google CEO Larry Page a letter expressing their discomfort about the impact on privacy of these glasses.

Doing away with the CPM pricing, Google introduced the auction sales model to AdWords, which some of America’s leading academic economists later described as “spectacularly successful” and “the dominant transaction mechanism in a large and rapidly growing industry.”68 Rather than buying online advertising at a set price, advertisers were now able to bid in what Steven Levy calls a real-time “unique auction” that simultaneously made online advertising more effective and profitable.69 Alongside AdWords, Google also developed an increasingly successful product called AdSense, which provided the tools to buy and measure advertising on websites not affiliated with the search engine. Google’s advertising network was becoming as ubiquitous as Google search. AdWords and AdSense together represented what Levy calls a “cash cow” to fund the next decade’s worth of Web projects, which included the acquisition of YouTube and the creation of the Android mobile operating system, Gmail, Google+, Blogger, the Chrome browser, Google self-driving cars, Google Glass, Waze, and its most recent roll-up of artificial intelligence companies including DeepMind, Boston Dynamics, and Nest Labs.70 More than just cracking the code on Internet profits, Google had discovered the holy grail of the information economy. In 2001, revenues were just $86 million. They rose to $347 million in 2002, then to just under a billion dollars in 2003 and to almost $2 billion in 2004, when the six-year-old company went public in a $1.67 billion offering that valued it at $23 billion.

At the Indiegogo-sponsored section of the show, hidden in the bowels of the Venetian, one crowd-financed startup from Berlin named Panono was showing off what it called a “panoramic ball camera,” an 11 cm electronic ball with thirty-six tiny cameras attached to it, that took panoramic photos whenever the ball was thrown in the air and then, of course, distributed them on the network. Another Indiegogo company, an Italian startup called GlassUP, was demonstrating fashionably designed glasses that—like Google Glass—recorded everything they saw and provided what it called a “second screen” to check emails and read online breaking news. There were even “Eyes-On” X-ray style glasses, from a company called Evena Medical, that allowed nurses to see through a patient’s skin and spy the veins underneath. Just about the only thing I didn’t see in the Venetian were cameras hidden inside watering cans. There were electronic eyes everywhere one looked.


pages: 290 words: 73,000

Algorithms of Oppression: How Search Engines Reinforce Racism by Safiya Umoja Noble

A Declaration of the Independence of Cyberspace, affirmative action, Airbnb, borderless world, cloud computing, conceptual framework, crowdsourcing, desegregation, Donald Trump, Edward Snowden, Filter Bubble, Firefox, Google Earth, Google Glasses, housing crisis, illegal immigration, immigration reform, information retrieval, Internet Archive, Jaron Lanier, Mitch Kapor, Naomi Klein, new economy, PageRank, performance metric, phenotype, profit motive, Silicon Valley, Silicon Valley ideology, Snapchat, Tim Cook: Apple, union organizing, women in the workforce, yellow journalism

Roberts about the myriad problems with a project such as Google Glass and the problems of class privilege that directly map to the failure of the project and the intensifying distrust of Silicon Valley gentrifiers in tech corridors such as San Francisco and Seattle.39 The lack of introspection about the public wanting to be surveilled at the level of intensity that Google Glass provided is part of the problem: centuries-old concepts of conquest and exploration of every landscape, no matter its inhabitants, are seen as emancipatory rather than colonizing and totalizing for people who fall within its gaze. People on the street may not characterize Google Glass as a neocolonial project in the way we do, but they certainly know they do not like seeing it pointed in their direction; and the visceral responses to Google Glass wearers as “Glassholes” is just one indicator of public distrust of these kinds of privacy intrusions.

However, what is missing from the extant work on Google is an intersectional power analysis that accounts for the ways in which marginalized people are exponentially harmed by Google. Since I began writing this book, Google’s parent company, Alphabet, has expanded its power into drone technology,8 military-grade robotics, fiber networks, and behavioral surveillance technologies such as Nest and Google Glass.9 These are just several of many entry points to thinking about the implications of artificial intelligence as a human rights issue. We need to be concerned about not only how ideas and people are represented but also the ethics of whether robots and other forms of automated decision making can end a life, as in the case of drones and automated weapons. To whom do we appeal? What bodies govern artificial intelligence, and where does the public raise issues or lodge complaints with national and international courts?

People on the street may not characterize Google Glass as a neocolonial project in the way we do, but they certainly know they do not like seeing it pointed in their direction; and the visceral responses to Google Glass wearers as “Glassholes” is just one indicator of public distrust of these kinds of privacy intrusions. The neocolonial trajectories are not just in products such as search or Google Glass but exist throughout the networked economy, where some people serve as the most exploited workers, including child and forced laborers,40 in such places as the Democratic Republic of Congo, mining ore called columbite-tantalite (abbreviated as “coltan”) to provide raw materials for companies such as Nokia, Intel, Sony, and Ericsson (and now Google)41 that need such minerals in the production of components such as tantalum capacitors, used to make microprocessor chips for computer hardware such as phones and computers.42 Others in the digital-divide network serve as supply-chain producers for hardware companies such as Apple43 or Dell,44 and this outsourced labor from the U.S. goes to low bidders that provide the cheapest labor under neoliberal economic policies of globalization.


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How to Turn Down a Billion Dollars: The Snapchat Story by Billy Gallagher

Airbnb, Albert Einstein, Amazon Web Services, Apple's 1984 Super Bowl advert, augmented reality, Bernie Sanders, Black Swan, citizen journalism, Clayton Christensen, computer vision, disruptive innovation, Donald Trump, El Camino Real, Elon Musk, Frank Gehry, Google Glasses, Hyperloop, information asymmetry, Jeff Bezos, Justin.tv, Lean Startup, Long Term Capital Management, Mark Zuckerberg, Menlo Park, minimum viable product, Nelson Mandela, Oculus Rift, paypal mafia, Peter Thiel, QR code, Sand Hill Road, Saturday Night Live, side project, Silicon Valley, Silicon Valley startup, Snapchat, social graph, sorting algorithm, speech recognition, stealth mode startup, Steve Jobs, too big to fail, Y Combinator, young professional

You could learn more about the item and even buy it, potentially from Snapchat or through partners like Amazon. In March 2014, Evan rolled the dice on a company that had a chance to be a true game-changer for Snapchat. Snapchat paid $15 million to acquire a small hardware startup called Vergence Labs. Vergence made a Google Glass–like product they called Epiphany Eyewear that could record video and upload it to a computer. Erick Miller had begun working on the idea while studying for his MBA at UCLA in 2011; he was initially working on a set of virtual reality goggles, but when Google Glass was announced, he realized he could make something more fashion-forward that wasn’t as awkward to use and look at. Although Miller raised $70,000 on Indiegogo (a popular crowdfunding platform), he was still remarkably persistent in searching for funding, often walking around outside Facebook’s campus trying to catch Mark Zuckerberg walking to his car to pitch him.

When Vergence agreed to sell, Miller called their first investor, early Facebook executive Charlie Cheever, and said, “We sold the company. We can’t tell you who. You’ll get a check in the mail.” The division’s future depended just as much on its technical progress as it did on Evan’s evolving view of wearable technology. In September 2013, Evan spoke at the TechCrunch Disrupt conference, when Google Glass was near the height of its hype; he said Snapchat was not even considering building an app for Google Glass, saying it felt “invasive,” like “a gun pointed at you.” It remained to be seen if Vergence would ever launch a real product into the world or just stay hidden as an internal Snapchat experiment. CHAPTER TWENTY GOODBYE REGGIE MAY 2014 RIO DE JANEIRO, BRAZIL luau fucking raged. Thanks to all of you. Hope at least six girls sucked your dicks last night.

In September 2016, Snapchat teased the Spectacles launch with billboards on Wall Street and elsewhere of Ghostface Chillah, his eyes stylized to appear like the lenses of the sunglasses. The product debuted in the glossy WSJ Magazine, and Evan was photographed wearing Spectacles, along with his classic white v-neck, by fashion icon Karl Lagerfeld. Quick to distance the product from the nerdy and invasive Google Glass and to avoid overhyped expectations, Evan characterized Spectacles in interviews as a fun toy. Years before, Evan had noted that Snapchat would not build an app for Google Glass because he found the product “invasive,” like “a gun pointed at you.” To relieve people of the feeling that Spectacles were a social media gun aimed at them, and to address privacy concerns, little lights on the front of the sunglasses illuminate when the user is taking a picture or recording video. Growing up, Evan wished he had been part of the PC revolution.


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The Runaway Species: How Human Creativity Remakes the World by David Eagleman, Anthony Brandt

active measures, Ada Lovelace, agricultural Revolution, Albert Einstein, Andrew Wiles, Burning Man, cloud computing, computer age, creative destruction, crowdsourcing, Dava Sobel, delayed gratification, Donald Trump, Douglas Hofstadter, en.wikipedia.org, Frank Gehry, Google Glasses, haute couture, informal economy, interchangeable parts, Isaac Newton, James Dyson, John Harrison: Longitude, John Markoff, lone genius, longitudinal study, Menlo Park, microbiome, Netflix Prize, new economy, New Journalism, pets.com, QWERTY keyboard, Ray Kurzweil, reversible computing, Richard Feynman, risk tolerance, self-driving car, Simon Singh, stem cell, Stephen Hawking, Steve Jobs, Stewart Brand, the scientific method, Watson beat the top human players on Jeopardy!, wikimedia commons, X Prize

Consider the research and development arm of Google, called X. In order to briskly design and filter new products, X developed “Home” and “Away” teams. When Google came up with an idea for wearable computing – Google Glass – the Home team was tasked with quickly creating a working model. Using a coat hanger, a low-cost projector and a clear plastic sheet protector as a screen, the Home team built the first mock-up of Glass in one day. The job of the Away team was to rush out to a public space like a shopping mall and get as much feedback from potential customers as they could. An early model of Google Glass weighed 8 pounds – it was more of a helmet than a pair of eyeglasses. The Home team thought they had hit pay dirt when they got that weight down to less than that of an average pair of spectacles. But that wasn’t enough.

Columbia: University of Missouri Press, 1987. Catterall, James S., Susan A. Dumais, and Gillian Harden-Thompson. The Arts and Achievement in At-Risk Youth: Findings from Four Longitudinal Studies. Washington: National Endowment for the Arts, 2012. Chanin, A.L., “Les Demoiselles de Picasso,” New York Times, August 18, 1957. Chi, Tom. “Rapid Prototyping Google Glass.” TED-Ed. November 17, 2012. Accessed May 17, 2016. <http://ed.ted.com/lessons/rapid-prototyping-google-glass-tom-chi#watch> Chin, Andrea. “Ai Weiwei Straightens 150 Tons of Steel Rebar from Sichuan Quake.” Designboom. June 4, 2013. Accessed May 11, 2016. <http://www.designboom.com/art/ai-weiwei-straightens-150-tons-of-steel-rebar-from-sichuan-quake/> Cho, Yun Sun et al. “The Tiger Genome and Comparative Analysis with Lion and Snow Leopard Genomes.”

Through the symbiotic process of idea generation and filtering, Project Glass iterated quickly through multiple versions of their project, all the way to a sleek, working, first-of-a-kind product that hit the market in 2014. But even this version got filtered out by Google. There were insurmountable privacy concerns with the idea, mostly pivoting on the fact that bystanders didn’t want to be videoed. Abandoning Glass didn’t harm the Google enterprise, though: the engineers and designers went on to other teams, utilizing what they’d learned on other projects. In the end, Google Glass was just one of many fruits on the company’s tree, and it wasn’t the best one. Google had plenty of others, so they weren’t afraid to drop what wasn’t working. Generating ideas and trashing most of them can feel wasteful, but it’s the heart of the creative process. In a world in which time is money, the challenge is that the hours spent sketching or brainstorming can be viewed as lost productivity.


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The Glass Cage: Automation and Us by Nicholas Carr

Airbnb, Airbus A320, Andy Kessler, Atul Gawande, autonomous vehicles, Bernard Ziegler, business process, call centre, Captain Sullenberger Hudson, Charles Lindbergh, Checklist Manifesto, cloud computing, computerized trading, David Brooks, deliberate practice, deskilling, digital map, Douglas Engelbart, drone strike, Elon Musk, Erik Brynjolfsson, Flash crash, Frank Gehry, Frank Levy and Richard Murnane: The New Division of Labor, Frederick Winslow Taylor, future of work, global supply chain, Google Glasses, Google Hangouts, High speed trading, indoor plumbing, industrial robot, Internet of things, Jacquard loom, James Watt: steam engine, job automation, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, Kevin Kelly, knowledge worker, Lyft, Marc Andreessen, Mark Zuckerberg, means of production, natural language processing, new economy, Nicholas Carr, Norbert Wiener, Oculus Rift, pattern recognition, Peter Thiel, place-making, plutocrats, Plutocrats, profit motive, Ralph Waldo Emerson, RAND corporation, randomized controlled trial, Ray Kurzweil, recommendation engine, robot derives from the Czech word robota Czech, meaning slave, Second Machine Age, self-driving car, Silicon Valley, Silicon Valley ideology, software is eating the world, Stephen Hawking, Steve Jobs, TaskRabbit, technoutopianism, The Wealth of Nations by Adam Smith, turn-by-turn navigation, US Airways Flight 1549, Watson beat the top human players on Jeopardy!, William Langewiesche

Bohbot, “Spatial Navigational Strategies Correlate with Gray Matter in the Hippocampus of Healthy Older Adults Tested in a Virtual Maze,” Frontiers in Aging Neuroscience 5 (2013): 1–8. 24.Email from Véronique Bohbot to author, June 4, 2010. 25.Quoted in Alex Hutchinson, “Global Impositioning Systems,” Walrus, November 2009. 26.Kyle VanHemert, “4 Reasons Why Apple’s iBeacon Is About to Disrupt Interaction Design,” Wired, December 11, 2013, www.wired.com/design/2013/12/4-use-cases-for-ibeacon-the-most-exciting-tech-you-havent-heard-of/. 27.Quoted in Fallows, “Places You’ll Go.” 28.Damon Lavrinc, “Mercedes Is Testing Google Glass Integration, and It Actually Works,” Wired, August 15, 2013, wired.com/autopia/2013/08/google-glass-mercedes-benz/. 29.William J. Mitchell, “Foreword,” in Yehuda E. Kalay, Architecture’s New Media: Principles, Theories, and Methods of Computer-Aided Design (Cambridge, Mass.: MIT Press, 2004), xi. 30.Anonymous, “Interviews: Renzo Piano,” Architectural Record, October 2001, archrecord.construction.com/people/interviews/archives/0110piano.asp. 31.Quoted in Gavin Mortimer, The Longest Night (New York: Penguin, 2005), 319. 32.Dino Marcantonio, “Architectural Quackery at Its Finest: Parametricism,” Marcantonio Architects Blog, May 8, 2010, blog.marcantonioarchitects.com/architectural-quackery-at-its-finest-parametricism/. 33.Paul Goldberger, “Digital Dreams,” New Yorker, March 12, 2001. 34.Patrik Schumacher, “Parametricism as Style—Parametricist Manifesto,” Patrik Schumacher’s blog, 2008, patrikschumacher.com/Texts/Parametricism%20as%20Style.htm. 35.Anonymous, “Interviews: Renzo Piano.” 36.Witold Rybczynski, “Think before You Build,” Slate, March 30, 2011, slate.com/articles/arts/architecture/2011/03/think_before_you_build.html. 37.Quoted in Bryan Lawson, Design in Mind (Oxford, U.K.: Architectural Press, 1994), 66. 38.Michael Graves, “Architecture and the Lost Art of Drawing,” New York Times, September 2, 2012. 39.D.

Clarke, Profiles of the Future: An Inquiry into the Limits of the Possible (New York: Harper & Row, 1960), 227. 20.Sergey Brin, “Why Google Glass?,” speech at TED2013, Long Beach, Calif., February 27, 2013, youtube.com/watch?v=rie-hPVJ7Sw. 21.Ibid. 22.See Christopher D. Wickens and Amy L. Alexander, “Attentional Tunneling and Task Management in Synthetic Vision Displays,” International Journal of Aviation Psychology 19, no. 2 (2009): 182–199. 23.Richard F. Haines, “A Breakdown in Simultaneous Information Processing,” in Gerard Obrecht and Lawrence W. Stark, eds., Presbyopia Research: From Molecular Biology to Visual Adaptation (New York: Plenum Press, 1991), 171–176. 24.Daniel J. Simons and Christopher F. Chambris, “Is Google Glass Dangerous?,” New York Times, May 26, 2013. 25.“Amanda Rosenberg: Google Co-Founder Sergey Brin’s New Girlfriend?

Scattered around stores and other spaces, iBeacon transmitters act as artificial place cells, activating whenever a person comes within range. They herald the onset of what Wired magazine calls “microlocation” tracking.26 Indoor mapping promises to ratchet up our dependence on computer navigation and further limit our opportunities for getting around on our own. Should personal head-up displays, such as Google Glass, come into wide use, we would always have easy and immediate access to turn-by-turn instructions. We’d receive, as Google’s Michael Jones puts it, “a continuous stream of guidance,” directing us everywhere we want to go.27 Google and Mercedes-Benz are already collaborating on an app that will link a Glass headset to a driver’s in-dash GPS unit, enabling what the carmaker calls “door-to-door navigation.”28 With the GPS goddess whispering in our ear, or beaming her signals onto our retinas, we’ll rarely, if ever, have to exercise our mental mapping skills.


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Radical Technologies: The Design of Everyday Life by Adam Greenfield

3D printing, Airbnb, augmented reality, autonomous vehicles, bank run, barriers to entry, basic income, bitcoin, blockchain, business intelligence, business process, call centre, cellular automata, centralized clearinghouse, centre right, Chuck Templeton: OpenTable:, cloud computing, collective bargaining, combinatorial explosion, Computer Numeric Control, computer vision, Conway's Game of Life, cryptocurrency, David Graeber, dematerialisation, digital map, disruptive innovation, distributed ledger, drone strike, Elon Musk, Ethereum, ethereum blockchain, facts on the ground, fiat currency, global supply chain, global village, Google Glasses, IBM and the Holocaust, industrial robot, informal economy, information retrieval, Internet of things, James Watt: steam engine, Jane Jacobs, Jeff Bezos, job automation, John Conway, John Markoff, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, John von Neumann, joint-stock company, Kevin Kelly, Kickstarter, late capitalism, license plate recognition, lifelogging, M-Pesa, Mark Zuckerberg, means of production, megacity, megastructure, minimum viable product, money: store of value / unit of account / medium of exchange, natural language processing, Network effects, New Urbanism, Occupy movement, Oculus Rift, Pareto efficiency, pattern recognition, Pearl River Delta, performance metric, Peter Eisenman, Peter Thiel, planetary scale, Ponzi scheme, post scarcity, post-work, RAND corporation, recommendation engine, RFID, rolodex, Satoshi Nakamoto, self-driving car, sentiment analysis, shareholder value, sharing economy, Silicon Valley, smart cities, smart contracts, social intelligence, sorting algorithm, special economic zone, speech recognition, stakhanovite, statistical model, stem cell, technoutopianism, Tesla Model S, the built environment, The Death and Life of Great American Cities, The Future of Employment, transaction costs, Uber for X, undersea cable, universal basic income, urban planning, urban sprawl, Whole Earth Review, WikiLeaks, women in the workforce

Unsurprisingly, concerns centered more on the device’s data-collection capability than anything else: according to 5 Point owner Dave Meinert, his customers “don’t want to be secretly filmed or videotaped and immediately put on the Internet.” This is, of course, an entirely reasonable expectation, not merely in the liminal space of a dive bar but anywhere in the city. Casey Newton, “Seattle dive bar becomes first to ban Google Glass,” CNET, March 8, 2013. 23.Dan Wasserman, “Google Glass Rolls Out Diane von Furstenberg frames,” Mashable, June 23, 2014. 4Digital fabrication 1.John Von Neumann, Theory of Self-Reproducing Automata, Urbana: University of Illinois Press, 1966, cba.mit.edu/events/03.11.ASE/docs/VonNeumann.pdf. 2.You may be familiar with cellular automata from John Conway’s 1970 Game of Life, certainly the best-known instance of the class.

Taken together, these two impositions strongly undercut the primary ostensible virtue of an augmented view: its immediacy. The sole genuine justification for AR is the idea that information is simply there, and can be assimilated without thought or effort. And if this sense of effortlessness will never truly be achievable via handset, it is precisely what an emerging class of wearable mediators aims to provide for its users. The first of this class to reach consumers was the ill-fated Google Glass, which mounted a high-definition, forward-facing camera, a head-up reticle and the microphone required by its natural-language speech recognition interface on a lightweight aluminum frame. While Glass posed any number of aesthetic, practical and social concerns—all of which remain to be convincingly addressed, by Google or anyone else—it does at least give us a way to compare hands-free, head-mounted AR with the handset-based approach.

This is of special concern given the prospect that one or another form of wearable AR might become as prominent in the negotiation of everyday life as the smartphone itself. There is, of course, not much in the way of meaningful prognostication that can be made ahead of any mass adoption, but it’s not unreasonable to build our expectations on the few things we do know empirically. Early users of Google Glass reported disorientation upon removing the headset, after as few as fifteen minutes of use. This is a mild disorientation, to be sure, and easily shaken off—from all accounts, the sort of uneasy feeling that attends staring over-long at an optical illusion, and not the more serious nausea and dizziness suffered by a significant percentage of those using VR.12 If this represents the outer limit of discomfort experienced by users, it’s hard to believe that it would have much impact on either the desirability of the product or people’s ability to function after using it.


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The Inevitable: Understanding the 12 Technological Forces That Will Shape Our Future by Kevin Kelly

A Declaration of the Independence of Cyberspace, AI winter, Airbnb, Albert Einstein, Amazon Web Services, augmented reality, bank run, barriers to entry, Baxter: Rethink Robotics, bitcoin, blockchain, book scanning, Brewster Kahle, Burning Man, cloud computing, commoditize, computer age, connected car, crowdsourcing, dark matter, dematerialisation, Downton Abbey, Edward Snowden, Elon Musk, Filter Bubble, Freestyle chess, game design, Google Glasses, hive mind, Howard Rheingold, index card, indoor plumbing, industrial robot, Internet Archive, Internet of things, invention of movable type, invisible hand, Jaron Lanier, Jeff Bezos, job automation, John Markoff, Kevin Kelly, Kickstarter, lifelogging, linked data, Lyft, M-Pesa, Marc Andreessen, Marshall McLuhan, means of production, megacity, Minecraft, Mitch Kapor, multi-sided market, natural language processing, Netflix Prize, Network effects, new economy, Nicholas Carr, old-boy network, peer-to-peer, peer-to-peer lending, personalized medicine, placebo effect, planetary scale, postindustrial economy, recommendation engine, RFID, ride hailing / ride sharing, Rodney Brooks, self-driving car, sharing economy, Silicon Valley, slashdot, Snapchat, social graph, social web, software is eating the world, speech recognition, Stephen Hawking, Steven Levy, Ted Nelson, the scientific method, transport as a service, two-sided market, Uber for X, uber lyft, Watson beat the top human players on Jeopardy!, Whole Earth Review, zero-sum game

It becomes a platform for cultural life, in some ways returning book knowledge to the core. Right now, if you mash up Google Maps and monster.com, you get maps of where jobs are located by salary. In the same way, it is easy to see that, in the great networked library, everything that has ever been written about, for example, Trafalgar Square in London could be visible while one stands in Trafalgar Square via a wearable screen like Google Glass. In the same way, every object, event, or location on earth would “know” everything that has ever been written about it in any book, in any language, at any time. From this deep structuring of knowledge comes a new culture of participation. You would be interacting—with your whole body—with the universal book. Soon a book outside the universal Library of All will be like a web page outside the web, gasping for air.

Computer chips are becoming so small, and screens so thin and cheap, that in the next 30 years semitransparent eyeglasses will apply an informational layer to reality. If you pick up an object while peering through these spectacles, the object’s (or place’s) essential information will appear in overlay text. In this way screens will enable us to “read” everything, not just text. Yes, these glasses look dorky, as Google Glass proved. It will take a while before their form factor is worked out and they look fashionable and feel comfortable. But last year alone, five quintillion (10 to the power of 18) transistors were embedded into objects other than computers. Very soon most manufactured items, from shoes to cans of soup, will contain a small sliver of dim intelligence, and screens will be the tool we use to interact with this ubiquitous cognification.

And since what is in front of your eyes is just a small surface area, it is much easier and cheaper to magnify small improvements in quality. This tiny little area can invoke a huge disruptive presence. But while “presence” will sell it, VR’s enduring benefits spring from its interactivity. It is unclear how comfortable, or uncomfortable, we’ll be with the encumbrances of VR gear. Even the streamlined Google Glass (which I also tried), a very mild AR display not much bigger than sunglasses, seemed too much trouble for most people in its first version. Presence will draw users in, but it is the interactivity quotient of VR that will keep it going. Interacting in all degrees will spread out to the rest of the technological world. • • • About 10 years ago, Second Life was a fashionable destination on the internet.


Industry 4.0: The Industrial Internet of Things by Alasdair Gilchrist

3D printing, additive manufacturing, Amazon Web Services, augmented reality, autonomous vehicles, barriers to entry, business intelligence, business process, chief data officer, cloud computing, connected car, cyber-physical system, deindustrialization, DevOps, digital twin, fault tolerance, global value chain, Google Glasses, hiring and firing, industrial robot, inflight wifi, Infrastructure as a Service, Internet of things, inventory management, job automation, low cost airline, low skilled workers, microservices, millennium bug, pattern recognition, peer-to-peer, platform as a service, pre–internet, race to the bottom, RFID, Skype, smart cities, smart grid, smart meter, smart transportation, software as a service, stealth mode startup, supply-chain management, trade route, undersea cable, web application, WebRTC, Y2K

These are workers employed to collect individual stock items from a list. It is not very efficient and they have the same problems as the forklift drivers, finding their way around the warehouse and locating the stock. However, help is at hand through augmented reality. The most commonly known augmented reality device is Google Glass; however, other manufacturers produce products with AR capabilities. Where augmented reality or, for the sake of explanation, Google Glass, comes into logistics is that it is extremely beneficial for human stock pickers. Google Glass can show on the heads up and hand free display the pick list, but can also show additional information such as location of the item and give directions on how to get there. Furthermore, it can capture an image of the item to verify it is the correct stock item. Where items are practically identical to the eye, for example a computer chip, or integrated circuit, hands-free, automatic barcode scan ensures correct item identification.

The company recently announced that it was going to open the first AR supermarket chain in the world. Each of these virtual supermarkets has a completely empty floor space and situated near high footfall areas (e.g., train or subway stations, parks, and universities). The interesting thing is that while the naked eye will just see empty floors and walls, people using an AR-capable device, for example Google Glass, will see shelves filled with vegetables, fruit, meat, fish, beer, and all sorts of real-world products. To buy these virtual products, the customer scans each virtual product with their own mobile devices, adding it to their online shopping carts. They subsequently receive delivery of the products to their homes. References http://www.giraffplus.eu/ https://www.rti.com/whitepapers/5_Ways_Oil_Gas.pdf http://www.dhl.com/en/about_us/logistics_insights/dhl_trend_ research/Internet_of_things.html#.Vxbz49R94rg iot6.eu/sites/default/files/IoT6%20-%20D7.3.pdf 31 CHAPTER 3 The Technical and Business Innovators of the Industrial Internet The advances in sensor technologies in recent times have been driven by the advent of high-speed and low-cost electronic circuits, a change in the way we approach signal processing, and corresponding advances in manufacturing technologies.

Gilchrist, Industry 4.0, DOI 10.1007/978-1-4842-2047-4 246 Index Constrained application protocol (CoAP), 128 advanced analytics, 84 queries, 83 storage, persistence, and retrieval serves, 83 Control area network (CAN), 181 Customers’ premise equipment (CPE), 42 Cyber-physical system (CPS), 36 D Data bus, 139 Data distribution service (DDS), 138 Data management, 82 Delay tolerant networks (DTN), 139 Distributed component object model (DCOM), 148 Dynamic name server (DNS), 127 E Epidemic technique, 141 Ethernet, 120, 127 Extensible Messaging and Presence Protocol (XMPP), 137 F Functional domains, 69 asset management, 71 communication function, 70 control domain, 70 executor, 71 modeling data, 71 G Giraff, 15 Google Glass, 25 H Human machine interface (HMI), 20–21, 45 HVAC system, 131 I, J, K Identity access management (IAM), 191 IIoT architecture architectural topology, 75 data management, 82 IIAF application domain, 75 Business domain, 75 Business viewpoint, 68 functional domains (see Functional domains) information domain, 73 operation domain, 72 stakeholder, 67 usage viewpoint, 68 implementation viewpoint, 75 Industrial Internet IIC, 66 IISs, 66 ISs, 66 M2M, 66 key system characteristics, 79 communication layer functions, 81 connectivity functions, 80 data communications, 79 deliver data, 80 M2M, 65 three-tier topology communication transport layer, 78 connectivity, 78 connectivity framework layer, 78 edge tier, 76 enterprise tier, 76 gateway-mediated edge, 77 platform tier, 76 IIoT middleware architecture, 156 commercial platforms, 160 components, 156 conceptual diagram, 154 connectivity platforms, 157 mobile operators, 158 open source solutions, 160 requirements, 159 IIoT WAN technology 3G/4G/LTE, 164 cable modem, 166 DWDM, 165 free space optics, 166 Index FTTX, 165 internet connectivity, 162 M2M Dash7 protocol, 172 LoRaWAN architecture, 171 LTE cellular technology, 175 MAC/PHY layer, 169 millimeter radio, 176 OSI layers, 169 requirements, 167 RPMA LP-WAN, 173 SigFox, 170 Weightless SIG, 175 Wi-Fi, 174 MPLS, 164 SDH/Sonnet, 163 VSAT, 167 WAN channels, 162 WiMax, 166 xDSL, 163 Industrial Internet 3D printing, 60 augmented reality (AR), 59 Big Data, 52 business value, 55 variety, 54 velocity, 54 veracity, 55 visualizing data, 55 volumes of, data, 53 CAN network, 181 Cloud model, 47 CPS, 35 fog network, 51 ICS, 180 IFE, 182 IP Mobility, 40 M2M learning and artificial intelligence, 56 Miniaturization, 34 Network virtualization, 43 NFV, 42 people vs. automation, 62 remote I/O devices, 34 Russian hackers, 180 SDN, 44 SDN vs.


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Machines of Loving Grace: The Quest for Common Ground Between Humans and Robots by John Markoff

"Robert Solow", A Declaration of the Independence of Cyberspace, AI winter, airport security, Apple II, artificial general intelligence, Asilomar, augmented reality, autonomous vehicles, basic income, Baxter: Rethink Robotics, Bill Duvall, bioinformatics, Brewster Kahle, Burning Man, call centre, cellular automata, Chris Urmson, Claude Shannon: information theory, Clayton Christensen, clean water, cloud computing, collective bargaining, computer age, computer vision, crowdsourcing, Danny Hillis, DARPA: Urban Challenge, data acquisition, Dean Kamen, deskilling, don't be evil, Douglas Engelbart, Douglas Engelbart, Douglas Hofstadter, Dynabook, Edward Snowden, Elon Musk, Erik Brynjolfsson, factory automation, From Mathematics to the Technologies of Life and Death, future of work, Galaxy Zoo, Google Glasses, Google X / Alphabet X, Grace Hopper, Gunnar Myrdal, Gödel, Escher, Bach, Hacker Ethic, haute couture, hive mind, hypertext link, indoor plumbing, industrial robot, information retrieval, Internet Archive, Internet of things, invention of the wheel, Jacques de Vaucanson, Jaron Lanier, Jeff Bezos, job automation, John Conway, John Markoff, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, John von Neumann, Kevin Kelly, knowledge worker, Kodak vs Instagram, labor-force participation, loose coupling, Marc Andreessen, Mark Zuckerberg, Marshall McLuhan, medical residency, Menlo Park, Mitch Kapor, Mother of all demos, natural language processing, new economy, Norbert Wiener, PageRank, pattern recognition, pre–internet, RAND corporation, Ray Kurzweil, Richard Stallman, Robert Gordon, Rodney Brooks, Sand Hill Road, Second Machine Age, self-driving car, semantic web, shareholder value, side project, Silicon Valley, Silicon Valley startup, Singularitarianism, skunkworks, Skype, social software, speech recognition, stealth mode startup, Stephen Hawking, Steve Ballmer, Steve Jobs, Steve Wozniak, Steven Levy, Stewart Brand, strong AI, superintelligent machines, technological singularity, Ted Nelson, telemarketer, telepresence, telepresence robot, Tenerife airport disaster, The Coming Technological Singularity, the medium is the message, Thorstein Veblen, Turing test, Vannevar Bush, Vernor Vinge, Watson beat the top human players on Jeopardy!, Whole Earth Catalog, William Shockley: the traitorous eight, zero-sum game

In the late 1980s, anyone wandering through the cavernous Grand Central Station in Manhattan would have noticed that almost a third of the morning commuters were wearing Sony Walkman headsets. Today, of course, the Walkmans have been replaced by Apple’s iconic bright white iPhone headphones, and there are some who believe that technology haute couture will inevitably lead to a future version of Google Glass—the search engine maker’s first effort to augment reality—or perhaps more ambitious and immersive systems. Like the frog in the pot, we have been desensitized to the changes wrought by the rapid increase and proliferation of information technology. The Walkman, the iPhone, and Google Glass all prefigure a world where the line between what is human and who is machine begins to blur. William Gibson’s Neuromancer, the science-fiction novel that popularized the idea of cyberspace, drew a portrait of a new cybernetic territory composed of computers and networks.

William Gibson’s Neuromancer, the science-fiction novel that popularized the idea of cyberspace, drew a portrait of a new cybernetic territory composed of computers and networks. It also painted a future in which computers were not discrete boxes, but would be woven together into a dense fabric that was increasingly wrapped around human beings, “augmenting” their senses. It is not such a big leap to move from the early-morning commuters wearing Sony Walkman headsets, past the iPhone users wrapped in their personal sound bubbles, directly to Google Glass–wearing urban hipsters watching tiny displays that annotate the world around them. They aren’t yet “jacked into the net,” as Gibson foresaw, but it is easy to assume that computing and communication technology is moving rapidly in that direction. Gibson was early to offer a science-fiction vision of what has been called “intelligence augmentation.” He imagined computerized inserts he called “microsofts”—with a lowercase m—that could be snapped into the base of the human skull to instantly add a particular skill—like a new language.

Page offered him the opportunity to do things at “Google scale,” which meant that his work would touch the entire world. He secretly set up a laboratory modeled vaguely on Xerox PARC, the legendary computer science laboratory that was the birthplace of the modern personal computer, early computer networks, and the laser printer, creating projects in autonomous cars and reinventing mobile computing. Among other projects, he helped launch Google Glass, which was an effort to build computing capabilities including vision and speech into ordinary glasses. Unlike laboratories of the previous era that emphasized basic science, such as IBM Research and Bell Labs, Google’s X Lab was closer in style to PARC, which had been established to vault the copier giant, restyled “the Document Company,” into the computer industry—to compete directly with IBM.


pages: 468 words: 124,573

How to Build a Billion Dollar App: Discover the Secrets of the Most Successful Entrepreneurs of Our Time by George Berkowski

Airbnb, Amazon Web Services, barriers to entry, Black Swan, business intelligence, call centre, crowdsourcing, disruptive innovation, en.wikipedia.org, game design, Google Glasses, Google Hangouts, Google X / Alphabet X, iterative process, Jeff Bezos, Jony Ive, Kickstarter, knowledge worker, Lean Startup, loose coupling, Marc Andreessen, Mark Zuckerberg, minimum viable product, MITM: man-in-the-middle, move fast and break things, move fast and break things, Network effects, Oculus Rift, Paul Graham, QR code, Ruby on Rails, self-driving car, Silicon Valley, Silicon Valley startup, Skype, Snapchat, social graph, software as a service, software is eating the world, Steve Jobs, Steven Levy, Travis Kalanick, ubercab, Y Combinator

There are projects under way that will enable features like Google Glass to be packed into a contact lens.30 The implications of such an unobtrusive – and powerful – interface are simply jaw-dropping. If we go back to the beginning of the last technology cycle – that of the smartphone, kicked off by the iPhone in 2007 – we can see how quickly a touchscreen interface, a powerful operating system, integrated sensors and a ubiquitous mobile Internet connection changed our lives. It was just a matter of years. When the next technology cycle begins – and it will undoubtedly be something more wearable – it will begin with huge swathes of the ecosystem already in place. The time to get 1 billion active users of a gizmo like Google Glass will be a lot shorter than the eight years it took the smartphone to smash that milestone. While Google Glass has received a lot of attention because of Google’s profile, another equally fascinating, and potentially even more disruptive, technology company has captured headline.

While the media and blogosphere speculate about a vastly superior ‘iWatch’ in the offing from Apple – one that will incorporate all kinds of clever non-invasive sensors that may measure all kinds of things, including heart rate, oxygen saturation, perspiration and blood sugar levels in addition to the already commonplace step- and calorie-measuring sensors – other companies are already profiting from wearable technology. The fitness-bracelet market – where devices like Fitbit, Nike’s Fuelband and the Jawbone Up lead the market – delivered $2 billion in revenue in 2013. And that number is expected to triple by 2015.29 But all those technologies pale in comparison with one. Say hello (or OK) to Google Glass. Google Glass is 63 grams of hardware – a modern-looking set of glass frames (without lenses) sporting a microdisplay that projects an interface (which appears as a floating 27-inch display) into your field of vision. Think of it as an advanced – and heavily miniaturised – version of the Heads Up Display (HUD) systems that fighter pilots use. The device cleverly integrates a video camera that can record videos or photos and an Internet connection, so you can send those images and videos anywhere you like – and it all runs on a version of Google’s Android operating system.

Companies that don’t have robust business models will not be able to invest in these kinds of activities, which will make it increasingly harder for them to retain the best people, who in turn, once salary is taken care of, will be looking for a job with meaning. And that comes from a company that has a culture of pure innovation and solving meaningful problems. Google X is the division of Google that is home to the company’s moonshots. Since 2010 it has delivered a variety of seemingly impossible fantasies, such as the self-driving car (which has travelled over 500,000 km without a single accident11), Google Glass (a wearable computer with an optical head-mounted display), Project Loon (which provides rural Internet connectivity via high-altitude autonomous balloons12) and more than 100 other projects.13 So, when you think about the future of your app, it’s important to think about how big your ambition and vision are – and how you are going to take people on that journey. It’s not just a journey about earning lots of money and getting lots of perks.


pages: 903 words: 235,753

The Stack: On Software and Sovereignty by Benjamin H. Bratton

1960s counterculture, 3D printing, 4chan, Ada Lovelace, additive manufacturing, airport security, Alan Turing: On Computable Numbers, with an Application to the Entscheidungsproblem, algorithmic trading, Amazon Mechanical Turk, Amazon Web Services, augmented reality, autonomous vehicles, basic income, Benevolent Dictator For Life (BDFL), Berlin Wall, bioinformatics, bitcoin, blockchain, Buckminster Fuller, Burning Man, call centre, carbon footprint, carbon-based life, Cass Sunstein, Celebration, Florida, charter city, clean water, cloud computing, connected car, corporate governance, crowdsourcing, cryptocurrency, dark matter, David Graeber, deglobalization, dematerialisation, disintermediation, distributed generation, don't be evil, Douglas Engelbart, Douglas Engelbart, Edward Snowden, Elon Musk, en.wikipedia.org, Eratosthenes, Ethereum, ethereum blockchain, facts on the ground, Flash crash, Frank Gehry, Frederick Winslow Taylor, future of work, Georg Cantor, gig economy, global supply chain, Google Earth, Google Glasses, Guggenheim Bilbao, High speed trading, Hyperloop, illegal immigration, industrial robot, information retrieval, Intergovernmental Panel on Climate Change (IPCC), intermodal, Internet of things, invisible hand, Jacob Appelbaum, Jaron Lanier, Joan Didion, John Markoff, Joi Ito, Jony Ive, Julian Assange, Khan Academy, liberal capitalism, lifelogging, linked data, Mark Zuckerberg, market fundamentalism, Marshall McLuhan, Masdar, McMansion, means of production, megacity, megastructure, Menlo Park, Minecraft, MITM: man-in-the-middle, Monroe Doctrine, Network effects, new economy, offshore financial centre, oil shale / tar sands, packet switching, PageRank, pattern recognition, peak oil, peer-to-peer, performance metric, personalized medicine, Peter Eisenman, Peter Thiel, phenotype, Philip Mirowski, Pierre-Simon Laplace, place-making, planetary scale, RAND corporation, recommendation engine, reserve currency, RFID, Robert Bork, Sand Hill Road, self-driving car, semantic web, sharing economy, Silicon Valley, Silicon Valley ideology, Slavoj Žižek, smart cities, smart grid, smart meter, social graph, software studies, South China Sea, sovereign wealth fund, special economic zone, spectrum auction, Startup school, statistical arbitrage, Steve Jobs, Steven Levy, Stewart Brand, Stuxnet, Superbowl ad, supply-chain management, supply-chain management software, TaskRabbit, the built environment, The Chicago School, the scientific method, Torches of Freedom, transaction costs, Turing complete, Turing machine, Turing test, undersea cable, universal basic income, urban planning, Vernor Vinge, Washington Consensus, web application, Westphalian system, WikiLeaks, working poor, Y Combinator

Andy Greenberg and Ryan Mac, “How a ‘Deviant’ Philosopher Built Palantir, a CIA-Funded Data-Mining Juggernaut,” Forbes, August 14, 2013, http://www.forbes.com/sites/andygreenberg/2013/08/14/agent-of-intelligence-how-a-deviant-philosopher-built-palantir-a-cia-funded-data-mining-juggernaut/. 71.  Hugo De Garis, The Artilect War: Cosmists vs. Terrans: A Bitter Controversy Concerning Whether Humanity Should Build Godlike Massively Intelligent Machines (Palm Springs, CA: ETC Publications, 2005). 72.  Gigi Fenomen, “New App Allows Piloting a Drone with Google Glass Using Head Movements,” Android Apps, August 24, 2013, http://android-apps.com/news/new-app-allows-piloting-a-drone-with-google-glass-using-head-movements/. 73.  Let me propose that Philip K. Dick's novel A Scanner Darkly (Garden City, NY: Doubleday, 1977), should be part of the standard high school literature curriculum, if only because the existential psychology of the User will prove to be based on first-person access to third-person experiences of first-person experiences. 74. 

See also Earth artificial megastructures, 176–183 constitutional, 111 defined, 371 economic, 199 essential importance of, 149 exceptional or unregularized, 30 informational, 29 Internet, 361 of jurisdiction, 171–176, 283, 308–309, 323 of multiple geographies, 245–246 politico-theological, 242, 248, 320–322 of The Stack, sovereignty over, 33 superimposition of the addressing matrix, 193 telescoping, 16, 101, 178, 197, 220, 229, 235, 266 geolocated augmented reality, 438n60 geolocative advertising, 255 geolocative Apps, 236, 243 geometrics, 90–91, 309 geometry of territory, 25 geophilosophy (Deleuze and Guattari), 372 geopolitical architecture designed, 38 of Earth layer, 98, 300–302 European, 27 new, need for, 3, 300–302 unipolar, future of, 309–310 geopolitical conflict Google-China, 9, 112–115, 143–144, 245, 361 historical, 6 Nicaragua-Costa Rica border, 9, 120, 144 present-day, 6 geopolitical domains, 118–119 geopolitical geography, 4–5, 19, 33, 65, 252 of borders, 6–7, 97, 172–173, 308–310, 323, 409n42 of conflict, 6, 9, 112–115, 120, 143–144, 245, 361 design model, 3–6 energy driving alignments in, 141 European nomos, 25–26 future-antecedent revision of, 14–17 geometry of, 13–17 loop topology of, 84 mapping, 4–5 of planetary-scale computation, 14–17, 143 TBIT controversy, 174–176 geopolitical theory, 328 geopolitics, 19, 39–40, 257–258, 326, 360 of addressability, 193, 207–208 of addresses, 193–194 algorithmic, 449n56 City layer, 155, 160, 444n26 of climate change, 140–141 Cloud layer, 110–112, 114, 454n75 within comparative planetology, 353 compositional, 85 computational, 360 defined, 371–372 design, 119, 141–145 elements of, 246–247 as epidermal, 355 framework, 159 geoscopy and, 85 Google model, 125, 134–136 of interfaciality, 228 modern, basis of, 24 post-Anthropocenic, 285 of postscarcity, 95 projection as territory/territory as projection, 85 spacelessness of contemporary, 30 space of, 6 geoscapes, 243–249, 372, 429n61 geoscopy, 85, 87, 89–90 geotheological innovation, 242–243 Germany, 309 Gershenfeld, Neil, 226 ghost sovereignties, 100–101 gift economy, 429n59 GigaOM, 186 Girard, Rene, 360 global assemblages, 265–266 global citizenship, basis of, 257 global commons, 35–36 global infrastructure, 139–140 globalization fundamentalism and, 143 individual experience of, 270 infrastructure, 45, 110 international system of control in, 443n23 of postal domains, 194 of risk, 321 software-driven, 348 spatial warfare of, 431n70 twentieth-century, Schmitt's view of, 31–32 of urban geography, 151 globally unique identifier (GUI), 168, 207, 254 global society, Anthropocenic, 106 global urban, 177–179 global visualizations, 265–266 Göbekli Tepe, 149, 176, 188 Godard, Jean-Luc, 147, 158 gold, 82, 104, 336 gold standard, 199, 336 goods and services, quality of, 313 Google advertising infrastructure, 137 algorithmic methods, 332 architectural footprint, 184–185 AR game, 241–242 Cloud Polis, 132, 134–141, 184–185, 187–188, 332 conflict with China, 9, 112–115, 143–144, 245, 361 cosmopolitan logic of, 322 economic sovereignty, 122 Facebook compared, 126 future of, 129, 141–142 geographic strategy, 9, 120, 144 geopolitical model, 125, 134–136 Grossraum, 34–40, 134, 295, 318, 372 infrastructure, physical, 10–11, 113 Interface joke, 332 interfacial regime, 247 mission statement, 87, 122, 134, 138, 186, 353, 396n10 as monopoly, 400n41 nation-state functions, 10–11 Nest, purchase of, 134 network architecture, 118–119 Nortel patent bid, 134 oceanic data centers, 140 OpenFlow's advantages to, 437n58 platform universality, 332 political theology of, 425n46 proto-citizenship, 122 revenue stream, 136–138, 159, 444n26 search infrastructure, 136–138 shutting down access to, 403n63 synthetic catallaxy, 331 territorial footprint, 113 US-centricity, 135 Google AdWords, 255 Google AI, 134 Google bashing, 402n62 Google Car, 129, 134, 139, 281–282, 344, 437n55, 437n57. See also cars: driverless Google charter cities, 352 Google City, 444n26 Googledome, 184 Google Earth, 86, 91, 134, 242, 247–248, 322, 391n30, 431n70 Google Earth RealTime, 299–300 Google Energy, 134, 140 Google Fiber, 399n31 Google Glass, 129, 134, 282, 308, 381n30, 438n60 Google Glass App, 288 Google Gosplan, 328, 332, 363–364, 372 Google ID, 295 Google Ideas, 134, 361 Google Island, 315 Google Maps, 9, 120, 144, 242, 265, 431n70 Googleplex, 183–185 Google Public DNS, 136 Google Robotics, 134, 138–139 Google Sovereignty, 134 Google Space, 134 Google Time, 134 Google 2.0, 184–185 Google Wallet, 127 Google: Words Beyond Grammar (Groys), 239 Google World, 134–135 gorilla populations, 82–83 Gosplan Google, 328, 332, 363–364, 372 Soviet, 59, 138, 329 governance of addresses, 198–199 Address layer, 196 algorithmic, 134, 332–334, 337–338, 341–342, 348, 368 apparatus of, 173–174 Cloud layer, 68, 140, 143 of Cloud Polis, 113–114 computational, 90, 97, 112, 327 cybernetic, 341 ecological, 88–90, 97–106 economic, 329–330 geographic, modes of, 27 of interfaces, 325 Internet, 143 intervention versus interfaciality in, 227–228 machine of, 173–174 of the market, 329–330 meaning of, 327 new forms of, 5, 119, 260 new war over, 10–11 Obama-era infrastructuralism, 180–181 object of, 357, 454n75 of platforms, 143 spatial, 163 technologies of, 7–8 training by computation, 90 of urban interfaces, 155–157, 163, 326 of urban platforms, 326 of the User, 49, 159 governmentality, 7–8, 327 government layer, 396n12 Graeber, David, 443n23 Grand Canyon AR overlay, 242 graphical user interface (GUI).

See Thompson, On Growth and Form (Cambridge: Cambridge University Press, 1917). 39.  Typical of this perspective is Jean-Luc Nancy, The Creation of the World, or Globalization (Albany, NY: SUNY Press, 2002). 40.  A particularly egregious example is Franco “Bifo” Berardi's missive, Neuro-Totalitarianism in Technomaya Goog-Colonization of the Experience and Neuro-Plastic Alternative (Los Angeles: Semtiotext(e), and New York: Whitney Museum, 2014). His target is Google Glass, a piece of hardware that takes on black magic powers in his estimation. In the Interfaces chapter, I will discuss the dangers of augmented reality-based interfacial totalities to engender forms of cognitive totalitarianism, but this is not because they train attention on artificial images, negating our natural faculties of reason and experience (see also the Phaedrus, and Socrates’ admonitions against the written word, 370 B.C., or the whole history of experimental cinema).


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Augmented: Life in the Smart Lane by Brett King

23andMe, 3D printing, additive manufacturing, Affordable Care Act / Obamacare, agricultural Revolution, Airbnb, Albert Einstein, Amazon Web Services, Any sufficiently advanced technology is indistinguishable from magic, Apple II, artificial general intelligence, asset allocation, augmented reality, autonomous vehicles, barriers to entry, bitcoin, blockchain, business intelligence, business process, call centre, chief data officer, Chris Urmson, Clayton Christensen, clean water, congestion charging, crowdsourcing, cryptocurrency, deskilling, different worldview, disruptive innovation, distributed generation, distributed ledger, double helix, drone strike, Elon Musk, Erik Brynjolfsson, Fellow of the Royal Society, fiat currency, financial exclusion, Flash crash, Flynn Effect, future of work, gig economy, Google Glasses, Google X / Alphabet X, Hans Lippershey, Hyperloop, income inequality, industrial robot, information asymmetry, Internet of things, invention of movable type, invention of the printing press, invention of the telephone, invention of the wheel, James Dyson, Jeff Bezos, job automation, job-hopping, John Markoff, John von Neumann, Kevin Kelly, Kickstarter, Kodak vs Instagram, Leonard Kleinrock, lifelogging, low earth orbit, low skilled workers, Lyft, M-Pesa, Mark Zuckerberg, Marshall McLuhan, megacity, Metcalfe’s law, Minecraft, mobile money, money market fund, more computing power than Apollo, Network effects, new economy, obamacare, Occupy movement, Oculus Rift, off grid, packet switching, pattern recognition, peer-to-peer, Ray Kurzweil, RFID, ride hailing / ride sharing, Robert Metcalfe, Satoshi Nakamoto, Second Machine Age, selective serotonin reuptake inhibitor (SSRI), self-driving car, sharing economy, Shoshana Zuboff, Silicon Valley, Silicon Valley startup, Skype, smart cities, smart grid, smart transportation, Snapchat, social graph, software as a service, speech recognition, statistical model, stem cell, Stephen Hawking, Steve Jobs, Steve Wozniak, strong AI, TaskRabbit, technological singularity, telemarketer, telepresence, telepresence robot, Tesla Model S, The Future of Employment, Tim Cook: Apple, trade route, Travis Kalanick, Turing complete, Turing test, uber lyft, undersea cable, urban sprawl, V2 rocket, Watson beat the top human players on Jeopardy!, white picket fence, WikiLeaks

Whether from Continuum, Iron Man, Batman, Deus Ex or the modern-day F22 Raptor fighter jet, the concept of an augmented, head-up display (HUD)12 vision has been a staple of science fiction and military aircraft for more than 50 years. When Google Glass launched in 2013, it launched to great media fanfare.13 Glass was considered the next big leap in both wearable technologies and augmented reality (AR), but as with all such leaps in technology it was met with either unyielding passion or mild derision. In media context, however, Google’s first head-up display wearable fit neither the traditional definition of HUD nor immersive AR. It is clearly just a first step in the evolution of enhanced vision overlay. I know that some of you will be thinking that you’ll never wear something like Google Glass, that you’ll never be one of those “glassholes”, as social media coined the moniker. But if you think of this as part and parcel of the development of humanity’s 900-year-long relationship to enhanced vision technology, then it’s the next logical step.

Longer term understanding of the evolution of interface design, embedded computing and interaction science lead us to the inevitable conclusion that apps will become less and less important over time. That summer, Google made an eight-pound prototype of a computer meant to be worn on the face. To Ive, then unaware of Google’s plans, “the obvious and right place” for such a thing was the wrist. When he later saw Google Glass, Ive said, it was evident to him that the face “was the wrong place.” [Tim Cook, Apple’s C.E.O.] said, “We always thought that glasses were not a smart move, from a point of view that people would not really want to wear them. They were intrusive, instead of pushing technology to the background, as we’ve always believed.” Ian Parker on Jonathan Ive’s thinking about wearable notification devices20 As context becomes critical to better engagement, functionality is already shifting away from apps.

Augmented Reality, Personal HUDs and Vision Enhancement No doubt, the temptation for many businesses is to think of augmented vision as a new landscape for bridging the gap between digital and the real world, especially in respect to 3D gaming, geolocation-based marketing and contextual commerce. Today, we’re already getting a little overwhelmed by the volume of notifications, application feedback and offers. Do we really need this sort of data interrupting our field of vision while we’re driving, walking into a shop or working on a document at the office? Whether delivered by a next-gen Google Glass or a smart contact lens, context is going to be the single key driver to the applicability of information augmenting our field of vision. The information that will be delivered via head-up display implementation needs to be super personalised, and highly contextual. Such information will normally be short-lived, and only there to enhance decision-making in the moment, so by nature will have to be backed by some incredibly sophisticated preprocessing algorithms.


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Dragnet Nation: A Quest for Privacy, Security, and Freedom in a World of Relentless Surveillance by Julia Angwin

AltaVista, Ayatollah Khomeini, barriers to entry, bitcoin, Chelsea Manning, Chuck Templeton: OpenTable:, clean water, crowdsourcing, cuban missile crisis, data is the new oil, David Graeber, Debian, Edward Snowden, Filter Bubble, Firefox, GnuPG, Google Chrome, Google Glasses, informal economy, Jacob Appelbaum, John Markoff, Julian Assange, Marc Andreessen, market bubble, market design, medical residency, meta analysis, meta-analysis, mutually assured destruction, Panopticon Jeremy Bentham, prediction markets, price discrimination, randomized controlled trial, RFID, Robert Shiller, Ronald Reagan, security theater, Silicon Valley, Silicon Valley startup, Skype, smart meter, Steven Levy, Upton Sinclair, WikiLeaks, Y2K, zero-sum game, Zimmermann PGP

During the sentencing, the judge said, “This was nothing short of a sustained effort to terrorize victims.” Mijangos was sentenced to six years in prison. And widespread camera dragnets are right around the corner. The arrival of wearable computers equipped with cameras, such as Google Glass, means that everything is fair game for filming. The New York Times columnist Nick Bilton was shocked when he attended a Google conference and saw attendees wearing their Google Glass cameras while using the urinals. But Google Glass enthusiasts say that wearing cameras on their heads changes their life. “I will never live a day of my life from now on without it (or a competitor),” wrote the blogger Robert Scoble after trying out the glasses for two weeks. “It freaks some people out,” he conceded, but he said, “It’s new, that will go away once they are in the market.”

Some, like Acxiom, sell primarily to businesses. Others, such as Intelius, sell primarily to individuals. • Data exchanges. Marketers and data brokers increasingly trade information on real-time trading desks that mimic stock exchanges. INDIVIDUALS • Democratized dragnets. Technology has become cheap enough that everyone can do their own tracking, with items such as dashboard cameras, build-it-yourself drones, and Google Glass eyeglasses that contain tiny cameras that can take photos and videos. The trackers are deeply intertwined. Government data are the lifeblood for commercial data brokers. And government dragnets rely on obtaining information from the private sector. Consider just one example: voting. To register to vote, citizens must fill out a government form that usually requires their name, address, and, in all but one state, birth date.

In 2011, a Santa Ana man named Luis Mijangos: Federal Bureau of Investigation, “Orange County Man Who Admitted Hacking into Personal Computers Sentenced to Six Years in Federal Prison for ‘Sextortion’ of Women and Teenage Girls” (press release), September 1, 2011, https://www.fbi.gov/losangeles/press-releases/2011/orange-county-man-who-admitted-hacking-into-personal-computers-sentenced-to-six-years-in-federal-prison-for-sextortion-of-women-and-teenage-girls. The New York Times columnist Nick Bilton: Nick Bilton, “At Google Conference, Cameras Even in the Bathroom,” Bits (blog), New York Times, May 17, 2013, http://bits.blogs.nytimes.com/2013/05/17/at-google-conference-even-cameras-in-the-bathroom/. “I will never live a day … without it”: Robert Scoble, “My Two-Week Review of Google Glass,” Google+ post, April 27, 2013, https://plus.google.com/+Scobleizer/posts/ZLV9GdmkRzS. Bobbi Duncan, a twenty-two-year-old lesbian student: Geoffrey A. Fowler, “When the Most Personal Secrets Get Outed on Facebook,” Wall Street Journal, October 13, 2012, http://online.wsj.com/article/SB10000872396390444165804578008740578200224.html. The most notable example is CIA director David Petraeus: Scott Shane and Sheryl Gay Stolberg, “A Brilliant Career with a Meteoric Rise and an Abrupt Fall,” New York Times, November 10, 2012, https://www.nytimes.com/2012/11/11/us/david-petraeus-seen-as-an-invincible-cia-director-self-destructs.html?


Bit Rot by Douglas Coupland

3D printing, Airbnb, airport security, bitcoin, Burning Man, delayed gratification, dematerialisation, Edward Snowden, Elon Musk, en.wikipedia.org, Google Glasses, Guggenheim Bilbao, index card, jimmy wales, Lyft, Marshall McLuhan, Maui Hawaii, McJob, Menlo Park, nuclear paranoia, Pepto Bismol, pre–internet, Ray Kurzweil, Sand Hill Road, Silicon Valley, Skype, Stanford marshmallow experiment, Ted Kaczynski, The Future of Employment, uber lyft, young professional

It’s like that old skit where the waiter introduces you to several cows and you get to choose which one will be used for the evening’s steak, but instead it’s McDonald’s, and they’re out to prove they no longer use pink goo in their burgers. Creep is seeing someone wearing Google glasses—one of the cofactors that led to the device being withdrawn from the market until future iterations remove its creep. The Onion had a wonderful headline the week the glasses were removed from public sale until further notice: “Unsold Google Glass Units to Be Donated to Assholes in Africa.” You’d think that de-creeping Google Glass might be difficult, but in the end it’s probably just a numbers game. I remember seeing early adopters using cellphones on city sidewalks in Toronto between 1988 and 1990, and they looked like total assholes—they just did in a way that people born later find very hard to believe.

Then text comes up telling you how many steps you took that day, also telling you the farthest point you were away from home, and then something NSFW appears onscreen—and then suddenly you’re inside a mesh model of the Guggenheim Museum Bilbao, which lands you in the middle of a scene from The Garden of the Finzi-Continis, a scene on a tennis court. A crawl at the bottom of the screen reminds you that Wimbledon starts in a week. The screen fades to white and a montage of products appears, but it’s not advertising…it’s all the logos you walked past today while wearing Google glasses. The music cuts to the soundtrack of Days of Heaven while the screen cuts up into nine squares, each displaying a kitten video. A male voice reads passages from Lolita (you haven’t thought of that book in ages!) while the screen now shows footage from a 1974 Partridge Family episode. Then we see scenes from your office life, except they’re in slow motion, and then they’re melting into… And so forth.

You’re basically having your subconscious played out directly before your eyes. yoo…in a bit more detail: yoo takes images, sounds and text from the course of your day (or week or year) and weaves them together so that they morph, jumpcut and dissolve. yoo seeks and blends into your experience the faces, spaces, audio feeds and experiences of all the people in your life, imported from various streams. yoo options are multiplied with Google Glass, which pick up images and sounds throughout the day—details that you didn’t notice but still registered in your subconscious. yoo adds and weaves in fragments of movies, songs or other media you experienced that week—but does so by displaying similar or related content: cover versions of favourite songs; movies by the same director; movies with similar plots. yoo connects you geographically and experientially to YouTube clips taken by people who’ve visited the same places as you.


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The Internet of Us: Knowing More and Understanding Less in the Age of Big Data by Michael P. Lynch

Affordable Care Act / Obamacare, Amazon Mechanical Turk, big data - Walmart - Pop Tarts, bitcoin, Cass Sunstein, Claude Shannon: information theory, crowdsourcing, Edward Snowden, Firefox, Google Glasses, hive mind, income inequality, Internet of things, John von Neumann, meta analysis, meta-analysis, Nate Silver, new economy, Panopticon Jeremy Bentham, patient HM, prediction markets, RFID, sharing economy, Steve Jobs, Steven Levy, the scientific method, The Wisdom of Crowds, Thomas Kuhn: the structure of scientific revolutions, WikiLeaks

Rifkin, The Zero Marginal Cost Society, 179. 2. Zagzebski, On Epistemology, 145. See also “Recovering Under-standing.” 3. Kitcher, Abusing Science. 47–49. I don’t mean to suggest that Kitcher would embrace my views on understanding, however. 4. Lazer et al., “The Parable of Google Flu.” 5. Solzhenitsyn, Cancer Ward, 192. 6. Pete Pachal, “Google Glass Will Have Automatic Picture-Taking Mode,” Mashable, July 25, 2012. Available at http://mashable.com/2012/07/25/google-glass-photo-mode/#SI4XL.9XkOqI. Accessed September 4, 2015 Bibliography Achinstein, Peter. The Nature of Explanation. Oxford: Oxford University Press, 1983. Bilton, Nick. I Live in the Future & Here’s How It Works: Why Your World, Work, and Brain Are Being Creatively Disrupted. New York: Crown, 2010. Bloom, Paul. “How Do Morals Change?”

Let us hope their motivations are pure, or at least neutral, while we stay on guard for the opposite. As Bertrand Russell once remarked in a somewhat different context, advances in technology never seem to bring along with them—at least, all by themselves—a change in humanity’s penchant for greed and power. That is a lesson I hope we heed—even while we look forward to the benefits the Internet of Us will bring. Many of us share the same concerns. After the initial launch of Google Glass, the reaction was more negative than expected. While many were excited about the technology, it seemed that just as many were worried about its potential for invading privacy; others were concerned about its potential for distracting drivers. These practical objections were serious. But I can’t help wondering if the concern went deeper. Before its launch, Google cofounder Sergey Brin was reported to have said, “We started Project Glass believing that, by bringing technology closer, we can get it more out of the way.”6 Brin was meaning to emphasize the fact that Glass allows you to take pictures without fumbling for your camera.

., 102 French Revolution, 58 Freud, Sigmund, 184 Fricker, Miranda, 146–48, 201 Galileo, 34, 68 Galton, Francis, 120 games, gaming, 20, 191 gatekeeping, 128, 134, 146 gender, 162 in marriage, 53–54, 72 in problem solving, 137 Georgetown University, 77–78 Gilbert, Margaret, 117–19, 200 Glass, Ira, 78 Glaucon, 54 Glauconian reasoning, 54–55, 56–58 global economy, 139, 142, 152 global warming, 56, 100, 124, 144, 185, 198 Goldberg, Sandy, 115 Goldman, Alvin, 194 Google, 5, 23, 30, 113, 128, 130, 135, 163, 174, 182, 203 business model of, 9 data collection and tracking by, 90, 155–56, 158, 161 as hypothetical “guy,” 24 monopolization by, 145–46 propaganda disseminated on, 66 in reinforcement of one’s own beliefs, 56 Google Complete, 155 Google Flu Trends, 158, 183 Google Glass, 149, 186 Google-knowing, xvi, 21–40, 25 defined, 23 limitations of, 174, 180 reliance on, 6–7, 23, 25–26, 30–31, 36, 113, 116, 153, 163, 179–80 Google Maps, 116 Google Street View, 23 Gordon, Lewis, 148 gorilla suit experiment, 30 government: autonomy limited by, 109 closed politics of, 144–45 data mining and analysis used by, 9, 90–91, 93, 104, 107 online manipulation used by, 81 purpose of, 38 transparency of, 137–38 Greece, classical philosophy of, 13, 47, 166–67, 171–72 Grimm, Stephen, 164 Guardian, 81 Gulf of Mexico, oil spill in, 118 H1N1 flu outbreak, tracking of, 158 Haidt, Jonathan, 51–54, 56, 57, 60, 196–97 Halpern, Sue, 106 Harvard Law Review, 89 Hazlett, Allan, 49 HBO GO, 145 Heidegger, Martin, 177 Hemingway, Mark, 46 Higher Order Thinking Skills (HOTS), 61 Hippocrates, 13 hive-mind, 4, 136 HM (patient), 168–69 Hobbes, Thomas, 38, 109 holiness, logical debate over, 166–67 homosexuality, changing attitudes toward, 53–54 Houla massacre, 83 Howe, Jeff, 136 Huffington Post, 43 human dignity: autonomy and, 58, 59–60 information technology as threat to, 187 interconnectedness and, 184–88 privacy and, 101–9 human rights, 54, 60 digital equality as, 142–48 protection of, 145 Hume, David, 48 hyperconnectivity, 184–88 identity: digital reshaping of, 73–74 manufactured online, 80–81 “scrubbing” of, 74 illegal searches, 93 illusion, distinguishing truth from, 67–74 incidental data collection, 95–96, 99 inclusivity, 135–37 income inequality, 142 inference, 29, 60, 172 information: accuracy and reliability of, 14, 27–30, 39–40, 44–45 collected pools of, 95–100, 107–9 distribution vs. creation of, 24 immediate, unlimited access to, 3–4, 23, 30, 42, 56, 113–16, 135–36, 141, 149, 153, 180 as interconnective, 184–88 vs. knowledge, 14 sorting and filtering of, 12, 26–29, 44–45, 127–28 information age, 111 information analysis, techniques of, 8–9 information cascades, 36, 66, 121 defined, 32 information coordination problem, 38–39, 56 information “glut,” 9–10, 44 information privacy, 94–100 and autonomy, 102–7 information sharing, coordination in, 4–5 information technology: costs of, 145 data trail in, 9 democratization through, 133–38, 148 devices and platforms of, xvii–xviii, 3, 7–8, 10, 41–43, 69, 70, 77–78, 90–91, 106–7, 144, 148–49, 156, 180, 185–87 disquieting questions about, 6 in education, 148–54 experience vs., 173–74 hypothetical loss of, 5 paradox of, 6, 12, 179 pool of data in, 95–100 surveillance and, 89–109 typified and dephysicalized objects in, 69 unequal distribution of, 144–45 see also Internet of Things information theory, 12 infosphere: defined, 10 feedback loop of social constructs in, 72–73 network of, 180 pollution of, 148 vastness of, 128 InnoCentive, 136–37, 141 institutions, cooperative, 60–61 intellectual labor, 139–40 International Telecommunications Union, 135 Internet: author’s experiment in circumventing, 21–24, 25, 35 in challenges to reasonableness, 41–63 changes wrought by, xv–xviii, 6–7, 10–11, 23, 180, 184–88 as a construction, 69 cost and profit debate over, 145 as epistemic resource, 143–45 expectations of, 80–83 as force for cohesion and democracy, 55–63 freedom both limited and enhanced by, 92–93 international rates of access to, 135, 144–45 monopolization and hegemony in, 145–46 as network, 111–13 “third wave” of, 7 see also World Wide Web; specific applications Internet of Everything, 184 Internet of Things: blurring of online and offline in, 71 defined, 7–8 integration of, 10 shared economy in, 140–41 threat from, 107, 153, 184–88 Internet of Us, digital form of life as, 10, 39, 73, 83–86, 106, 179–88 interracial marriage, 54 interrogation techniques, 105 In the Plex (Levy), 5–6 Intrade, 122–23, 136 intuition, 15, 51–53 iPhone, production of, 77–78, 80, 139, 144 IQ, 52 Iraq, 83 Iraq War, 137 ISIS, 128 isolation, polarization and, 42–43 I think, I exist, 127 James, William, 11 Jefferson, Thomas, 143 Jeppesen, Lars Bo, 137 joint commitments, defined, 117–18 journalism, truth and, 84 judgment, 51–55, 57 collective vs. individual, 117, 120–25 justice, 54 “just so” stories, 27–28 Kahneman, Daniel, 29, 51 Kant, Immanuel, 34, 58–60, 62, 85 Kitcher, Philip, 182 knowing-which, as term, 171 knowledge: in big data revolution, 87–190 changing structure of, 125–32 common, 117–19 defined and explained, xvii, 12–17 democratization of, 133–38 digital, see digital knowledge; Google-knowing distribution of, 134–35, 138, 141 diverse forms of, 130 economy of, 138–45 hyperconnectivity of, 184–88 individual vs. aggregate, 120–24 information vs., 14 Internet revolution in, xv–xviii minimal definition of, 14–15 as networked, 111–32 new aspects in old problems of, 1–86, 90 personal observation in, 33–35 political economy of, 133–54 as power, 9, 98–99, 133, 185–86 practical vs. theoretical, 169, 172 procedural, 167–74 recording and storage of, 127–28 reliability of sources of, 14, 27–31, 39–40, 44–45, 114–16 as a resource, 38–39 shared cognitive process in attainment of, 114–25 three forms of, 15–17 three simple points about, 14–17 truth and, 19, 126 understanding vs. other forms of, 6, 16–17, 90, 154, 155–73, 181 value and importance of, 12–13 knowledge-based education, 61 Kodak camera, 89 Koran, 48, 61 Kornblith, Hilary, 194 Krakauer, John, 169 Kuhn, Thomas, 159–60 Lakhani, Karim, 137 Larissa, Greece, 13, 15, 182 Leonhardt, David, 122–23 Levy, Steven, 5–6 liberals, 43 libraries, 22, 134, 153–54 of Alexandria, 8 digital form of life compared to, xvi, 17, 20, 44–45, 56, 63, 128 as epistemic resource, 145 Google treated as, 24 “Library of Babel” (Borges), 17 “Lies, Damned Lies, and ‘Fact-Checking’: The Liberal Media’s Latest Attempt to Control the Discourse” (Hemingway), 46 Lifespan of a Fact, The (D’Agata), 79 literacy, 35, 134 literal artifacts: defined, 69 social artifacts and, 71, 72 lobectomy, 168 Locke, John, 33–36, 39, 60, 67–70, 85, 127, 143 “Locke’s command,” 33–34 London Underground, mapping of, 112–13 machines, control by, 116 “mainstream” media, 32 censorship of, 66 majority rule, 120 manipulation: data mining and, 97, 104–6 of expectations, 80–82 persuasion and, 55, 57–58, 81–83, 86 manuals, 22 manufacturing, 138–39 maps, 21–22 marine chronometer, 137 marketing: bots in, 82 Glauconian, 58 targeted, 9, 90, 91, 105 marriage: changing attitudes toward, 53–54 civil vs. religious, 58–59 as social construct, 72 martial arts, 170 mass, as primary quality, 68 Massive Open Online Courses (MOOCs), 150–53 mathematics, in data analysis, 160, 161 Matrix, The, 18–19, 75 Mayer-Schönberger, Viktor, 8, 158–59 measles vaccine, 7, 124 Mechanical Turk, 136, 141 media, 134 diversity in, 42 opinion affected by, 53 sensationalist, 77 memory: accessing of, 114, 115 in educational models, 152 loss of, 168–69 superceded by information technology, xv–xvi, 3, 4, 6, 94, 149 trust in, 28, 33 Meno, 13 merchandising, online vs. brick and mortar, 70 Mercier, Hugo, 54 metrics, 112 Milner, Brenda, 168–69 mirror drawing experiment, 169 misinformation, 6–7, 31–32 in support of moral truth, 78–80, 82 mob mentality, 32–33 MOOCs (Massive Open Online Courses), 150–53 moral dumbfounding, 52 morality, moral values, xvii, 6, 44, 53–54, 195 “Moses Illusion,” 29–30 motor acuity, mastery of, 170–71, 173 motor skills, 167–74 Murray, Charles J., 147 music, as dephysicalized object, 69–70 Nagel, Thomas, 84 naming, identification by, 94 narrative license, truth and falsehood in, 78–79 National Endowment for the Humanities, 61 National Science Foundation, 61 Nature, 158, 161 Netflix, 69, 145 Net neutrality, defined, 145 netography, 112–13 of knowledge, 125–32 networked age, 111 networks, 111–32 collective knowledge of, 116–25, 180 knowledge reshaped and altered by, 125–32, 133, 140 in problem solving, 136 use of term, 111–12 neural system, 26 neural transplants, 3, 5 Neurath, Otto, 128–29 neuromedia, 3–5, 12, 17–19, 113–14, 132, 149, 168, 180–82, 184 limitations of, 174 as threat to education, 153–54 Newton, Isaac, 175 New Yorker, 25, 26 New York Times, 122, 174 Nietzsche, Friedrich, 111 Nobel laureates, 149 noble lie, 83, 86 nonfiction, 79–80 NPR, 78, 80 NSA: alleged privacy abuses by, 98–100, 138 data mining by, 9, 91, 95–96, 108, 167 proposed limitations on, 109 Ntrepid, 81 nuclear weapons technology, xvii nullius in verba (take nobody’s word for it), 34 Obama, Barack, 7, 100 administration, 109 objectivity, objective truth, 45, 74 as anchor for belief, 131 in constructed world, 83–86 as foundation for knowledge, 127 observation, 49, 60 affected by expectations, 159–60 behavior affected by, 91, 97 “oceanic feeling,” 184 “offlife,” 70 OkCupid, 157 “onlife,” 70 online identity creation, 73–74 online ranking, 119–21, 136 open access research sharing sites, 135–36 open society: closed politics vs., 144–45 values of, 41–43, 62 open source software, 135 Operation Earnest Voice, 81 Operation Ivy, ix opinion: knowledge vs., 13, 14, 126 in online ranking, 119–20 persuasion and, 50–51 truth as constructed by, 85–86 optical illusions, 67 Oracle of Delphi, 16–17, 171 Outcome-Based Education (OBE), 61–62 ownership, changing concept of, 73 ox, experiment on weight of, 120 Oxford, 168 Page, Larry, 5–6 Panopticon, 91, 92, 97 perception: acuity of, 173 distinguishing truth in, 67–74 expectations and, 159–60 misleading, 29–30, 67 as relative, 67–68 perceptual incongruity, 159–60 personal freedom, 101 persuasion, 50–51, 54–55, 56–58 by bots, 82 phone books, 22 phone data collection, 95, 108 photography: privacy and, 89, 93 sexually-explicit, 99 photo-sharing, manipulation in, 82–83 Plato, 13–14, 16–17, 54, 59, 83, 126, 165–67 polarization, 7 herd mentality in, 66 isolated tribes in, 43–46 politics, 162, 196 accessibility in, 23 activism in, 66, 67 bias in, 43–46 closed, 144–45 elections in, 120–23 of knowledge, 133–54 opposition to critical thinking in, 61–62 persuasion in, 57–58, 82–83 power in, 86, 133 prediction market in, 122–23 Politifact, 46 Popper, Karl, 41–43 Postman, L.


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The Digital Doctor: Hope, Hype, and Harm at the Dawn of Medicine’s Computer Age by Robert Wachter

"Robert Solow", activist fund / activist shareholder / activist investor, Affordable Care Act / Obamacare, AI winter, Airbnb, Atul Gawande, Captain Sullenberger Hudson, Checklist Manifesto, Chuck Templeton: OpenTable:, Clayton Christensen, collapse of Lehman Brothers, computer age, creative destruction, crowdsourcing, deskilling, disruptive innovation, en.wikipedia.org, Erik Brynjolfsson, everywhere but in the productivity statistics, Firefox, Frank Levy and Richard Murnane: The New Division of Labor, Google Glasses, Ignaz Semmelweis: hand washing, Internet of things, job satisfaction, Joseph Schumpeter, Kickstarter, knowledge worker, lifelogging, medical malpractice, medical residency, Menlo Park, minimum viable product, natural language processing, Network effects, Nicholas Carr, obamacare, pattern recognition, peer-to-peer, personalized medicine, pets.com, Productivity paradox, Ralph Nader, RAND corporation, Second Machine Age, self-driving car, Silicon Valley, Silicon Valley startup, six sigma, Skype, Snapchat, software as a service, Steve Jobs, Steven Levy, the payments system, The Wisdom of Crowds, Thomas Bayes, Toyota Production System, Uber for X, US Airways Flight 1549, Watson beat the top human players on Jeopardy!, Yogi Berra

Augmedix, CellScope, and Lift Labs each have compelling human stories: helping a doctor who is struggling to satisfy both his patients and his EHR; a working mom who is confronting a wailing, febrile toddler; a proud elderly man who is too embarrassed to eat in his favorite restaurant. Each leverages a technology that did not exist a decade ago: Google Glass, the iPhone, and the vibration sensing and dampening device. But none of these technologies can achieve its full impact, nor are the business models likely to be viable over the long haul, unless they are supported by, and embedded in, appropriate work flows, cultures, regulations, and economic models. Take Augmedix—it’s a good idea, and it’s fueled by cool technology. But how do we get the transcript into, and the vital signs out of, the electronic health record? And what about the privacy issues for the doctor walking around the office wearing Google Glass? Will she be hit with a huge HIPAA fine if she inadvertently video records a patient down the hall? For CellScope: Is there a physician available to look at my kid’s eardrum picture at 6 a.m.?

He and his colleagues have even prepared a response, ready in case that awful phone call ever comes. 19 It’s worth noting that this degree of paternalism is still prevalent in many countries outside the United States. 20 Now Beth Israel Deaconess Medical Center. 21 The term patient portal is now commonly used to describe an Internet-enabled, secure website on which patients can view some portion of their health data. More on this in Chapter 21. 22 The Roman god of wine. 23 A start-up named Augmedix has built such a capacity: the doctor wears Google Glass during the encounter, and a combination of voice recognition and a remote transcriptionist produces the note. I’ll have more to say about this company later. Chapter 21 Personal Health Records and Patient Portals When we try to pick out anything by itself we find that it is bound fast by a thousand invisible cords that cannot be broken, to everything in the universe. —John Muir, in 1869 OpenNotes is just one slice of a broader phenomenon enabled by healthcare IT: the patient portal.

Collectively, they illustrate the breadth and creativity of the start-up side of health IT. The first is called Augmedix. Recall our earlier discussion about how doctors have become slaves to their electronic health records, leading some hospitals and clinics to hire scribes to allow physicians and patients to make eye contact again. With Augmedix, doctors interact with their patients while wearing Google Glass, and the voice and video recordings go off to a distant site, where a combination of human transcriptionists and natural language processing helps create the note. The physician can also call up data from the EHR (“Okay, Glass, show me the vital signs”) without turning away from the patient. Another Rock Health company, CellScope, makes an attachment for your smartphone that can take a picture inside someone’s ear—a replacement for the doctor’s otoscope.


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Think Like a Rocket Scientist by Ozan Varol

Affordable Care Act / Obamacare, Airbnb, airport security, Albert Einstein, Amazon Web Services, Andrew Wiles, Apple's 1984 Super Bowl advert, Arthur Eddington, autonomous vehicles, Ben Horowitz, Cal Newport, Clayton Christensen, cloud computing, Colonization of Mars, dark matter, delayed gratification, different worldview, discovery of DNA, double helix, Elon Musk, fear of failure, functional fixedness, Gary Taubes, George Santayana, Google Glasses, Google X / Alphabet X, Inbox Zero, index fund, Isaac Newton, James Dyson, Jeff Bezos, job satisfaction, Johannes Kepler, Kickstarter, knowledge worker, late fees, lateral thinking, lone genius, longitudinal study, Louis Pasteur, low earth orbit, Marc Andreessen, Mars Rover, meta analysis, meta-analysis, move fast and break things, move fast and break things, multiplanetary species, obamacare, Occam's razor, out of africa, Peter Thiel, Pluto: dwarf planet, Ralph Waldo Emerson, Richard Feynman, Richard Feynman: Challenger O-ring, Ronald Reagan, Sam Altman, Schrödinger's Cat, Search for Extraterrestrial Intelligence, self-driving car, Silicon Valley, Simon Singh, Steve Ballmer, Steve Jobs, Steven Levy, Stewart Brand, Thomas Kuhn: the structure of scientific revolutions, Thomas Malthus, Upton Sinclair, Vilfredo Pareto, We wanted flying cars, instead we got 140 characters, Whole Earth Catalog, women in the workforce, Yogi Berra

,” Forbes, August 8, 2017, www.forbes.com/sites/innovatorsdna/2017/08/08/how-does-amazon-stay-at-day-one/#36d005d67e4d. 45. Tim Ferriss, “Maria Sharapova,” episode 261 (transcript), Tim Ferriss Show, May 30, 2018, https://tim.blog/2018/05/30/tim-ferriss-show-transcript-maria-sharapova. 46. Elizabeth Gilbert, Big Magic: Creative Living Beyond Fear (New York: Riverhead Books, 2015), 259. 47. Steven Levy, “Google Glass 2.0 Is a Startling Second Act,” Wired, July 18, 2017, www.wired.com/story/google-glass-2-is-here. 48. Heather Hargreaves, “How Google Glass Will Change How You Do Business,” Entrepreneur Handbook, March 25, 2019. 49. Ian Osterloh, “How I Discovered Viagra,” Cosmos, April 27, 2015, https://cosmosmagazine.com/biology/how-i-discovered-viagra; Jacque Wilson, “Viagra: The Little Blue Pill That Could,” CNN, March 27, 2013, www.cnn.com/2013/03/27/health/viagra-anniversary-timeline/index.html. 50.

The input becomes its own reward. With an input-focused mindset, you’re free to change your destination. Goals can help you focus, but that focus can also turn into tunnel vision if you refuse to budge or pivot from your initial path. For example, when Google Glass was roundly dismissed as a pointless product, X found a different path. Once the product hit the consumer market, the company realized that the Glass wasn’t a consumer product at all. Instead, X learned from that failure and reinvented the Glass as a tool for businesses.47 You can now find Google Glass on countless workers, including Boeing employees working on aircraft and doctors looking through a patient chart using a fancy attachment to their faces.48 Consider another example from the pharma industry. In 1989, Pfizer scientists developed a new drug called sildenafil citrate.

If you’re in the business of taking moonshots—if you’re going to experiment with bold ideas—you’re going to miss more often than you connect. “Experiments are by their very nature prone to failure,” Jeff Bezos explained. “But a few big successes compensate for dozens and dozens of things that didn’t work.”12 Remember the Amazon Fire phone? The company lost $170 million over that misfire.13 Or Google Glass, designed by X, Google’s moonshot factory?14 The Glass was supposed to be the next best thing after the smartphone, but it flopped. It’s one thing to carry a smartphone in your pocket, consumers thought, and something else to attach one to your cornea. This was one piece of hardware that was decidedly uncool to sport. People wearing it were dubbed “glassholes.” These failures are built into X’s business model.


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Disrupted: My Misadventure in the Start-Up Bubble by Dan Lyons

activist fund / activist shareholder / activist investor, Airbnb, Ben Horowitz, Bernie Madoff, bitcoin, call centre, cleantech, cloud computing, corporate governance, disruptive innovation, dumpster diving, fear of failure, Filter Bubble, Golden Gate Park, Google Glasses, Googley, Gordon Gekko, hiring and firing, Jeff Bezos, Lean Startup, Lyft, Marc Andreessen, Mark Zuckerberg, Menlo Park, minimum viable product, new economy, Paul Graham, pre–internet, quantitative easing, ride hailing / ride sharing, Rosa Parks, Sand Hill Road, sharing economy, Silicon Valley, Silicon Valley ideology, Silicon Valley startup, Skype, Snapchat, software as a service, South of Market, San Francisco, Stanford prison experiment, Steve Ballmer, Steve Jobs, Steve Wozniak, telemarketer, tulip mania, uber lyft, Y Combinator, éminence grise

So instead of running the full photograph, I will just show you two of the people in it: The one on the left, with the cone head, is Marc Andreessen of Andreessen Horowitz. The one on the right is John Doerr of Kleiner Perkins Caufield & Byers. Look how smug they are, how sure of themselves! These two grown men wearing the hideous face computer called Google Glass are two of the most respected investors in Silicon Valley, and they represent two of the most important venture capital firms. The photograph from which these images are taken was released as part of the announcement of the Glass Collective, a special fund created to invest in companies that would develop applications for Google Glass, which Andreessen and Doerr described as a “potentially transformative technology.” Glass had a tiny computer display embedded in a box in front of your right eye and would display information as you walked around. You could check the weather, get directions, take photos, record video.

In 2008, when the iPhone became the cool new thing, he announced the iFund, to invest in app makers. In 2010, when Facebook got hot, he announced the sFund, to invest in social media companies. Doerr even started wearing a T-shirt and hoodie, just like Mark Zuckerberg. Forming the Glass Collective in 2013 was just another attempt to latch on to something trendy. In the end Doerr got nothing out of Google Glass except some publicity, but maybe that was the point all along. In the old days, Silicon Valley venture capitalists embraced a California version of clubby East Coast white-shoe culture. All of the top VC firms literally sit beside one another on the same street, a big boulevard called Sand Hill Road in Menlo Park. For decades these firms resembled snooty private gentlemen’s clubs—in the British upper class sense of the word.

They launch blogs and podcasts, and hire former journalists to run them. Every year only a handful of Silicon Valley companies deliver big paydays. If you’re a VC, you must have money parked in those companies. But getting into those deals is not so easy. Investors actually have to compete to get into hot deals. How do you get that entrepreneur to take your money? How do you stand out? You generate publicity. You have your picture taken wearing Google Glass and call yourself a visionary, someone who can “see around corners,” as they say in Silicon Valley. Even as valuations climb to record levels, you insist that you are not overpaying. “It’s not a bubble; it’s an unprecedented, long boom,” Doerr told Bloomberg in June 2015. Then again, Doerr is in the business of selling companies to the public markets. What do you expect him to say? Asking a venture capitalist if private companies are overvalued is like asking a car salesman if he thinks you’re paying too much for the new Mercedes he’s selling you.


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Terms of Service: Social Media and the Price of Constant Connection by Jacob Silverman

23andMe, 4chan, A Declaration of the Independence of Cyberspace, Airbnb, airport security, Amazon Mechanical Turk, augmented reality, basic income, Brian Krebs, California gold rush, call centre, cloud computing, cognitive dissonance, commoditize, correlation does not imply causation, Credit Default Swap, crowdsourcing, don't be evil, drone strike, Edward Snowden, feminist movement, Filter Bubble, Firefox, Flash crash, game design, global village, Google Chrome, Google Glasses, hive mind, income inequality, informal economy, information retrieval, Internet of things, Jaron Lanier, jimmy wales, Kevin Kelly, Kickstarter, knowledge economy, knowledge worker, late capitalism, license plate recognition, life extension, lifelogging, Lyft, Mark Zuckerberg, Mars Rover, Marshall McLuhan, mass incarceration, meta analysis, meta-analysis, Minecraft, move fast and break things, move fast and break things, national security letter, Network effects, new economy, Nicholas Carr, Occupy movement, optical character recognition, payday loans, Peter Thiel, postindustrial economy, prediction markets, pre–internet, price discrimination, price stability, profit motive, quantitative hedge fund, race to the bottom, Ray Kurzweil, recommendation engine, rent control, RFID, ride hailing / ride sharing, self-driving car, sentiment analysis, shareholder value, sharing economy, Silicon Valley, Silicon Valley ideology, Snapchat, social graph, social intelligence, social web, sorting algorithm, Steve Ballmer, Steve Jobs, Steven Levy, TaskRabbit, technoutopianism, telemarketer, transportation-network company, Travis Kalanick, Turing test, Uber and Lyft, Uber for X, uber lyft, universal basic income, unpaid internship, women in the workforce, Y Combinator, Zipcar

Vine, Instagram, YouTube, and other video services could automatically analyze the audio content of uploaded material and then compile realtime reports that they sell on to advertising partners. Governments could mine videos for political opinions and create voice samples of troublesome citizens. Security agencies such as the FBI, which has the technical capability to remotely and surreptitiously activate the microphones in many smartphones, as well as the webcams in computers, could see if a surveillance target is lying or anxious. Google Glass could become a kind of roving emotion-meter, providing you with voice analysis of everyone you meet. On a more conceptual level, voice analysis and sentiment analysis are about finding out what you think and feel: your “mood graph.” Social-media companies really would like to know what you are thinking at all times, but they need the data to be machine-readable, which is why we’re prompted to structure our data by tagging emotions, companies, people, and places and why forms of computational analysis promise to automate this process.

The uncanny valley of mutual surveillance appears when we have to face our surveillers, whom we prefer to think of as disembodied and remote. The prospect of a stranger holding a smartphone, its camera pointed in your direction, has become almost routine, but it can also be cause to stop and wonder, Is she photographing me? Why would someone want to photograph me? And do I want to do something to encourage or discourage that? Google Glass is an ostensibly social surveillance device which, in practice, places the medium, a bit too literally, between the wearer and the world. Its red recording light is a vivid signal to onlookers: I’m watching you. Wearing it becomes a desocializing act, as some early adopters found when people asked them to take them off in social interactions or stared at them skeptically. In response, some coffee shops, casinos, and bars banned the devices.

When we rate an Uber driver, who doesn’t technically work for Uber, we are, in essence, rating him as an individual, adjudicating his personal value to us. Robert Moran, head of the Brunswick Group, a communications consultancy, sees what he calls the “rateocracy” as an opportunity for transparency, when good corporations and citizens will be rewarded for acting ethically and in others’ best interests. It will be integrated with augmented reality apps, so that you can activate your Google Glass or pull out your smartphone and see ratings for people, businesses, and places all around you. Facial recognition will likely play a role: imagine being able to access information—social-media profiles, Google searches, biographical information, ratings from friends, colleagues, lovers—on anyone you see, without even talking to them. A universal ratings service might appear, or ratings services will become more deeply intertwined, with shared log-ins and metrics in the manner of some social networks.


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Bank 3.0: Why Banking Is No Longer Somewhere You Go but Something You Do by Brett King

3D printing, additive manufacturing, Airbus A320, Albert Einstein, Amazon Web Services, Any sufficiently advanced technology is indistinguishable from magic, asset-backed security, augmented reality, barriers to entry, bitcoin, bounce rate, business intelligence, business process, business process outsourcing, call centre, capital controls, citizen journalism, Clayton Christensen, cloud computing, credit crunch, crowdsourcing, disintermediation, en.wikipedia.org, fixed income, George Gilder, Google Glasses, high net worth, I think there is a world market for maybe five computers, Infrastructure as a Service, invention of the printing press, Jeff Bezos, jimmy wales, Kickstarter, London Interbank Offered Rate, M-Pesa, Mark Zuckerberg, mass affluent, Metcalfe’s law, microcredit, mobile money, more computing power than Apollo, Northern Rock, Occupy movement, optical character recognition, peer-to-peer, performance metric, Pingit, platform as a service, QR code, QWERTY keyboard, Ray Kurzweil, recommendation engine, RFID, risk tolerance, Robert Metcalfe, self-driving car, Skype, speech recognition, stem cell, telepresence, Tim Cook: Apple, transaction costs, underbanked, US Airways Flight 1549, web application

The combination of these various technologies leads to the conceptualisation of some very interesting technologies. Google is expected to launch its Google Glasses commercially within the next year or so, but officially launched Google Project Glass to its developer community late June 2012. Some of us might be excited by the idea of an incessant stream of data floating in front of our eyeballs, but there are just as many others who might recoil at the thought. For one thing, how can we interact authentically with the world around us when everywhere we look we’re prompted to check in, reminded that we have a meeting in 30 minutes, or fed instructions about which path is the best walking route to take? Figure 10.4: Would you wear Google Glasses? (Credit: Google) In Google’s concept video the man wearing the glasses meets a friend in a bookstore by following the most direct walking path to where his buddy had checked in.

With Google Related, they’ll also have the option of viewing other content relative to that topic—such as videos, product reviews, or other mentions of the product across the web. Now imagine doing the same with geolocation data—tying in where the consumers physically are or what they’re looking at or for through their mobile devices. Ultimately, Google is trying to find ways of augmenting their view of the world through this data with projects such as Google Glasses, or Project Glass as it is known internally. The development of Siri for the iOS platform is really another example of interfacing with the world of data and giving the consumer more contextual access. Search is going to become less like a search, and more like just helping them with the data they need to make decisions in everyday life. In that way, you need to start thinking very seriously about when and where a customer needs a financial services product, not just what they need and search for.

Glasses could become the next iPhone-type fashion accessory. Right now both iPhone and Google Nexus phones incorporate some AR applications that are very simple to use and very, very cool. Combining this type of technology with digital cameras or camera phones is one thing, but there is an emerging technology that might change the way we see our environment and the things around us in an entirely new manner. Google Glasses At Sony’s 2009 CES (Consumer Electronics Show), Tom Hanks appeared on stage with Sir Howard Stringer, CEO and president of Sony Corporation in the US. Sony was parading its new high-definition video glasses that are currently under development—these HD specs have a widescreen 16:9 HD-quality image projected onto the lens. In the show version, they also had in-built cameras. In 2003 MIT published a paper on the concept of smart glasses they called “The Memory Glasses”.10 These memory glasses used both cameras and FLIR (Forward-Looking Infra-Red) for image recognition and a HUD system for visual cues.


pages: 331 words: 96,989

Irresistible: The Rise of Addictive Technology and the Business of Keeping Us Hooked by Adam L. Alter

Alexey Pajitnov wrote Tetris, augmented reality, barriers to entry, call centre, Cass Sunstein, cognitive dissonance, Daniel Kahneman / Amos Tversky, easy for humans, difficult for computers, en.wikipedia.org, experimental subject, game design, Google Glasses, IKEA effect, Inbox Zero, Kickstarter, loss aversion, Mark Zuckerberg, Menlo Park, mental accounting, meta analysis, meta-analysis, Oculus Rift, Richard Thaler, side project, Skype, Snapchat, Steve Jobs, telemarketer

Other references include: John Boudreau and Aaron Clark, “Flappy Bird Creator Dong Nguyen Offers Swing Copters Game,” Bloomberg Technology, August 22, 2014, www.bloomberg.com/news/articles/2014-08-22/flappy-bird-creator-dong-nguyen-offers-swing-copters-game; Laura Stampler, “Flappy Bird Creator Says ‘It’s Gone Forever’,” Time, February 11, 2014, http://time.com/6217/flappy-bird-app-dong-nguyen-addictive/; James Hookway, “Flappy Bird Creator Pulled Game Because It Was ‘Too Addictive,’” Wall Street Journal, February 11, 2014, www.wsj.com/articles/SB10001424052702303874504579376323271110900; Lananh Nguyen, “Flappy Bird Creator Dong Nguyen Says App ‘Gone Forever’ Because It Was “An Addictive Product,’” Forbes, February 11, 2014, www.forbes.com/sites/lananhnguyen/2014/02/11/exclusive-flappy-bird-creator-dong-nguyen-says-app-gone-forever-because-it-was-an-addictive-product/. Just recently a: Kathryn Yung and others, “Internet Addiction Disorder and Problematic Use of Google Glass in Patient Treated at a Residential Substance Abuse Treatment Program,” Addictive Behaviors 41 (2015): 58–60; James Eng, “Google Glass Addiction? Doctors Report First Case of Disorder,” NBC News, October 14, 2014, www.nbcnews.com/tech/Internet/google-glass-addiction-doctors-report-first-case-disorder-n225801. CHAPTER 2: THE ADDICT IN ALL OF US Most war films: Jason Massad, “Vietnam Veteran Recalls Firefights, Boredom and Beer,” Reporter Newspapers, November 4, 2010, www.reporternewspapers.net/2010/11/04/vietnam-veteran-recalls-firefights-boredom-beer/.

— Addiction is today better understood than in the nineteenth century, but it has also morphed and changed over time. Chemists have concocted dangerously addictive substances, and the entrepreneurs who design experiences have concocted similarly addictive behaviors. This evolution has only accelerated over the past two or three decades, and shows no signs of slowing. Just recently a doctor identified the first Google Glass addict—an enlisted naval officer who developed withdrawal symptoms when he tried to wean himself off the gadget. He’d been using it for eighteen hours a day, and he began to experience his dreams as though he were looking through the device. He’d managed to overcome alcohol addiction, he told doctors, but this was much worse. At night, when he relaxed, his right index finger would repeatedly float up to the side of his face.

., Louis, 243 cliffhangers, 191–213 binge-watching and, 208–12, 287–89, 290–91 disarming technique for, 287–89, 291 micro-, 205–8 in songs, 194–96 in The Sopranos, 201–3 unresolved real-life crime documentaries and, 196–201 Zeigarnik Effect and, 193–94 Coca-Cola, 38 cocaine, 29, 32–39, 71 Christison’s discovery of effects of, 32 Freud’s research on and addiction to, 33–36 Pemberton’s French Wine Coca (Coca-Cola) and, 37–38 coca plant, 31, 32 Cognitive Behavioral Therapy for Internet Addiction (CBT-IA), 256–57 cognitive decline, effect of multitasking games on, 312–13 Cohen, Gaby, 115–16 color coding, 157–58 comments, 217 communication skills, 40–41, 242–43 The Company of Others, 269 compulsion, 20–21 compulsive shopping, 205–8 Connolly, Billy, 83–84 Contrera, Jessica, 41–42 Cooper, Grahame, 230–32 cost-benefit calculations, 5 Cow Clicker, 313–14 creation requiring labor and effort, and addictive acts, 173–74 credit cards, 188 Crossy Road (game), 162–63 Csikszentmihalyi, Mihaly, 176 cue, of habits, 268 Cushman, John, 49–50 Dai, Xianchi, 266 Daimler, 277 DANVA2 (Diagnostic Analysis of Nonverbal Behavior), 238–40 Darling Darleen (blog), 206 Davies, Lynn, 99–100 DDB Stockholm, 293–95 Dement, William, 19 Demetricator, 285–86 Demos, Moira, 199 Denby, David, 241 dental hygiene for children, gamification of, 300 destructiveness, and addiction, 76–78 Diagnostic Analysis of Nonverbal Behavior (DANVA2), 238–40 Diagnostic and Statistical Manual of Mental Disorders (DSM), 80, 254–55 digital amnesia, 242 disarming technique, for cliffhangers, 287–89, 291 disguised losses, 133–34 distraction, 267–73 Dixon, Mike, 133–34 Doan, Andy, 230–31, 232, 244 Dollar Auction Game, 149–52 Donkey Kong (game), 148 “Don’t Stop Believin” (Journey), 202 dopamine, 71–72 Berridge’s rat experiments blocking production of, 85–88 Parkinson’s disease treatments, side effects of, 82–85 Dorbowski, Richard, 215 Dorshorst, Ryan, 214, 216 Dredge, Stuart, 142 Duhigg, Charles, 268 Dunning, Dave, 144–45 Durst, Robert, 199 Duval Guillaume Modem, 121–22 early adulthood, as highest risk period for addiction, 74–75 Earth, Wind & Fire, 194 ease, effect of replacing challenges with, 167–69 education, gamification of, 302–5 Edwards, Griffin, 161 email, 4, 23, 109–11 frequency of checking office, and disruptive effect of, 109–10 study preventing workers from accessing, findings of, 110–11 emotional amblyopia, 232 emotions, reading, 238–40 empathy, 40–41 empowering language, and habit formation, 272–73 endless loop, in songs, 194–95 endless runner games, 164 end of history illusion, 318 energy systems, 155–57 Entertainment Tonight, 196 Entertainment Weekly, 197 environment and circumstance, role in addiction of, 4, 46–67 memory and, 57–60 rat experiments, of Olds and Milner and, 52–57 Routtenberg’s monkey experiments and, 57–60 Vaisberg’s World of Warcraft addiction and, 60–66 Vietnam War veterans’ heroin addiction and, 46–52, 59–60 escalation, 167–90 creating something, sense of, 173–74 ease, effect of replacing challenges with, 167–69 flow and, 176–79 hardship and, 168–69 ludic loops and, 177–79 near wins and, 181–83 stopping rules, disruption of, 184–90 in Super Hexagon, 179–81 in Tetris, 170–73, 175–76 zone of proximal development and, 174–76 ether precipitation, 46–47 euphoria, 55 “Evil” (Wonder), 195 exercise addiction, 18–19, 112–16, 185–86, 306 extrinsic rewards, 261 Facebook, 3, 4, 5, 127–28, 216, 217, 318, 319 FaceMash, 224 Facetune, 220 FarmVille (game), 157–58, 164–65, 316 Federal Trade Commission (FTC), 313 feedback, 121–46 button pushing and, 121–25 juice and, 137–39 likes and, 127–29 losses disguised as wins and, 133–34 mapping and, 139 microfeedback, 136–37 motivated perception and, 144–45 near wins and, 145–46 slot machine gambling and, 130–36 unpredictability and, 126–27 variable reinforcement and, 143 video games and, 136–43, 158–59 virtual reality and, 139–43 Ferriss, Tim, 279–80 Feshbach, Seymour, 264 Festinger, Leon, 275–76 Fishbach, Ayelet, 266 Fisher, Helen, 75–76 Fiske, Susan, 305–6 Fitbit, 113–14, 185, 286, 295 fitness trackers, 113–14 fitness watches, 2–3 Fitocracy, 299 Flappy Bird, 42–43 flash-sale websites, 205–7 Fliess, Wilhelm, 34 flow, 176–79 Flow (Csikszentmihalyi), 176 Foddy, Bennett, 16, 136–37, 138–39, 189, 289–90 “For the Love of Money” (Polk), 118 Frances, Allen, 23 FreeRice.com, 296–97 French Wine Coca, 37 Freud, Sigmund, 33–36, 264, 265, 275 friendship formation, 275–77 Fritz, Michelle, 116 The Fun Theory (ad campaign), 293–95 gambling, 129–36, 144–46 Game Boy, 171 Game Show Network, 163 game shows, TV barriers to entry, lack of, 163 Larson’s game show success and addiction to goal-setting, 100–106 gamification, 293–316 cognitive decline, effect of multitasking games on, 312–13 criticisms of, 312–15 DDB Stockholm’s Fun Theory ad campaign and, 293–95 of dental hygiene for children, 300 of education, 302–5 of fitness, 299 health apps and, 300–302 medical benefits of, 309–12 points, badges and leaderboard elements of, 298, 299 of SAT vocabulary learning, 296–97 therapeutic properties of, 309–12 variety and, 299 of workplace, 305–9 Garfors, Gunnar, 112 Gillan, Claire, 71 Gilt, 205–7 Glu Games, 159 Gneezy, Uri, 315 goal-setting, 5–6, 93–120 Beamon’s long-jump record and, 98–100 as biological imperative, 107 email and, 109–11 exercise addiction and, 112–16 Internet and, 111–12 Larson’s game show success and addiction to, 100–106 marathon runners and, 95–97 Parkinson’s patients and, 93–95 rise in, since 1950s, 107–9 social comparison and, 118–19 streaks and, 115–16, 117 systems approach as alternative to, 117–18 Godfather, The (movie), 202 Gold, Lesley, 2 Golden Rule, 268, 269–70 Goldhill, David, 131, 143, 145, 162–63, 169 Goldstein, Dan, 209 Google, 298 Google+, 128 Google Books, 167 Google Cardboard, 141–42 Google Glass addiction, 44–45 Google Trends, 210–11, 212 Graham, Ruth, 200 Griffiths, Mark, 24–26 Groceryships, 119 Grosser, Benjamin, 285–86 Guinness Book of World Records, 111, 171–72 Guinness World Records, 112 habits, 268–73 elements of, 268–69 empowering versus disempowering language and formation of, 272–73 forming new, difficulty of, 271–72 replacing bad routines with good, 268–71 underlying motives, tailoring routine override to, 270–71 Hagtvedt, Henrik, 272 Haier, Richard, 172 HappyBidDay.com, 152 hardship, 168–69 hardship inoculation, 241–42 harmonious passions, 21, 22 Harris, Tristan, 3 Harvest Moon (game), 164 HBO, 199 health apps, gamification of, 300–302 Health Lab, 302 Heath, Robert, 55 Heldergroen, 277 heroin brain patterns and, 71 harm score for, 48–49 military crackdown on use of, 49–50 Robins’ study on relapse rates of returning vets, 51–52 Vietnam War veterans and addiction to, 46–52, 59–60 Hilton Garden Inn, 308 Hipstamatic, 214–17 Hochmuth, Greg, 3 Hodson, Gordon, 265 Holesh, Kevin, 13–15 Hollywood (game), 158–59, 165, 316 Holmes, Emily, 311 Hong, James, 221–24, 226 hooks Dollar Auction Game and, 149–52 penny auction websites and, 152–55 Hot or Not (website), 221–26 How to Fail at Almost Everything and Still Win Big (Adams), 117 Hsee, Chris, 186–87 Huffington, Arianna, 68–69 Hunter, Dan, 298 incomplete tasks, tension arising from, 193–94 infants active engagement versus passive viewing, 247 attention spans of, 39–40 qualities of healthy screen time for, 246–47 recommendations for media consumption by, 245–47 response to screen time of, 244–45 transfer of learning and, 246–47 visual response to contour and motion of, 19–20 infants, visual attention in, 19–20 Instagram, 3, 4, 5, 9, 122, 128, 129, 216–17, 218, 318, 319 instinctive survival behaviors, 73–74 Internet addiction in China, 251–54 DSM recognition of, 254–55 goal-setting and, 111–12 motivational interviewing and, 258–62 scope of, 26 test for, 26–27 treatment approaches, 248–62 Internet Addiction Diagnostic Questionnaire (IADQ), 255–56 Internet Addiction Test, 256 intrinsic rewards, 261 iPad, 1, 4, 165, 241, 244–45, 256 iPhone, 165, 241, 256 iPhone apps, 214–17 Isaacson, Walter, 2 “Is the world’s best-selling P.C. game ever still worth playing today?”


pages: 271 words: 77,448

Humans Are Underrated: What High Achievers Know That Brilliant Machines Never Will by Geoff Colvin

Ada Lovelace, autonomous vehicles, Baxter: Rethink Robotics, Black Swan, call centre, capital asset pricing model, commoditize, computer age, corporate governance, creative destruction, deskilling, en.wikipedia.org, Freestyle chess, future of work, Google Glasses, Grace Hopper, industrial cluster, industrial robot, interchangeable parts, job automation, knowledge worker, low skilled workers, Marc Andreessen, meta analysis, meta-analysis, Narrative Science, new economy, rising living standards, self-driving car, sentiment analysis, Silicon Valley, Skype, social intelligence, Steve Jobs, Steve Wozniak, Steven Levy, Steven Pinker, theory of mind, Tim Cook: Apple, transaction costs

Point a video camera at any person’s face, and the company’s Sentiment Analysis software can tell you that person’s overall sentiment (positive, negative, neutral) plus display a continually updating bar chart showing levels of seven primary emotions—joy, surprise, sadness, fear, disgust, contempt, anger—and two advanced emotions, frustration and confusion (advanced because they’re combinations of other emotions). Point the camera at a group of people and it analyzes all their emotions and gives you a composite readout. Incorporate the software into Google Glass, as the company has done, and the emotion readouts for anyone you’re looking at appear before your eyes (and yes, several people quickly noted that the emotion you may very well detect is contempt for you because you’re wearing Google Glass). Emotient’s initial target market for selling the Sentiment Analysis system was retailers, but the possibilities are obviously much broader. Affectiva, a spin-off from MIT’s Media Lab, also uses Ekman’s research to analyze facial expressions, selling its software to marketers and advertisers so they can conduct consumer research online using webcams.

Review of General Psychology, vol. 6, no. 2 (2002), pp. 139–45. Ekman built a successful business . . . Paul Ekman Group has continued for many years—see www.paulekman.com. The possibilities of such technology . . . For the founders and advisers of Emotient, see www.emotient.com. Point a video camera at any person’s face . . . “This Google Glass App Will Detect Your Emotions, Then Relay Them Back to Retailers,” Fast Company, 6 March 2014, http://www.fastcompany.com/3027342/fast-feed/this-google-glass-app-will-detect-your-emotions-then-relay-them-back-to-retailers. Affectiva, a spin-off from MIT’s Media Lab . . . See www.affectiva.com. A separate project within the Media Lab . . . For a description, see http://affect.media.mit.edu/pdfs/14.Hernandez_et_al-DIS.pdf. Researchers led by Dr. Marian Bartlett . . .


pages: 292 words: 85,151

Exponential Organizations: Why New Organizations Are Ten Times Better, Faster, and Cheaper Than Yours (And What to Do About It) by Salim Ismail, Yuri van Geest

23andMe, 3D printing, Airbnb, Amazon Mechanical Turk, Amazon Web Services, augmented reality, autonomous vehicles, Baxter: Rethink Robotics, Ben Horowitz, bioinformatics, bitcoin, Black Swan, blockchain, Burning Man, business intelligence, business process, call centre, chief data officer, Chris Wanstrath, Clayton Christensen, clean water, cloud computing, cognitive bias, collaborative consumption, collaborative economy, commoditize, corporate social responsibility, cross-subsidies, crowdsourcing, cryptocurrency, dark matter, Dean Kamen, dematerialisation, discounted cash flows, disruptive innovation, distributed ledger, Edward Snowden, Elon Musk, en.wikipedia.org, Ethereum, ethereum blockchain, game design, Google Glasses, Google Hangouts, Google X / Alphabet X, gravity well, hiring and firing, Hyperloop, industrial robot, Innovator's Dilemma, intangible asset, Internet of things, Iridium satellite, Isaac Newton, Jeff Bezos, Joi Ito, Kevin Kelly, Kickstarter, knowledge worker, Kodak vs Instagram, Law of Accelerating Returns, Lean Startup, life extension, lifelogging, loose coupling, loss aversion, low earth orbit, Lyft, Marc Andreessen, Mark Zuckerberg, market design, means of production, minimum viable product, natural language processing, Netflix Prize, NetJets, Network effects, new economy, Oculus Rift, offshore financial centre, PageRank, pattern recognition, Paul Graham, paypal mafia, peer-to-peer, peer-to-peer model, Peter H. Diamandis: Planetary Resources, Peter Thiel, prediction markets, profit motive, publish or perish, Ray Kurzweil, recommendation engine, RFID, ride hailing / ride sharing, risk tolerance, Ronald Coase, Second Machine Age, self-driving car, sharing economy, Silicon Valley, skunkworks, Skype, smart contracts, Snapchat, social software, software is eating the world, speech recognition, stealth mode startup, Stephen Hawking, Steve Jobs, subscription business, supply-chain management, TaskRabbit, telepresence, telepresence robot, Tony Hsieh, transaction costs, Travis Kalanick, Tyler Cowen: Great Stagnation, uber lyft, urban planning, WikiLeaks, winner-take-all economy, X Prize, Y Combinator, zero-sum game

With more than seven billion mobile phones in use globally, many equipped with a high-resolution camera, anything and everything can be recorded in real time, from a baby’s first words to the events of the Arab Spring. Like it or not, we are hurtling towards a world of radical transparency—and being driven off the privacy cliff by trillions of sensors recording our every move. Beyond Verbal, an Israeli company, can analyze the tonal variations of a 10-second clip of your voice to determine mood and underlying attitude with an 85 percent certainty. Now, toss into this mix Google Glass, the smart eyewear that enables video or images to be recorded or transmitted in real time anywhere as people move throughout their day. Next, add drones, which cost less than $100 and can be flown at a variety of altitudes, their 5-gigapixel cameras capturing everything in the landscape below. And, finally, consider the several nanosatellite companies which are launching mesh configurations of hundreds of satellites into low Earth orbit, and which will provide real-time video and images anywhere on the planet.

Page’s response was cryptic: “What would a Brickhouse for atoms look like?” he asked. We now know what he meant. In launching the Google[X] lab, Google has taken the classic skunkworks approach to new product development further than anyone ever imagined. Google[X] offers two fascinating new extensions to the traditional approach. First, it aims for moonshot-quality ideas (e.g., life extension, autonomous vehicles, Google Glass, smart contact lenses, Project Loon, etc.). Second, unlike traditional corporate labs that focus on existing markets, Google[X] combines breakthrough technologies with Google’s core information competencies to create entirely new markets. We strongly recommend that every big company attempt something similar by creating a lab that is a playground for breakthrough technologies. It should then conduct ongoing experiments with new products and services, with a goal of creating entirely new markets for the company.

AI, data science and analytics Description: Ubiquitous usage of Machine Learning and Deep Learning algorithms to process vast caches of information. Implications: Algorithms driving more and more business decisions; AIs replacing a large percentage of knowledge workers; AIs looking for patterns in organizational data; algorithms embedded into products. Virtual/augmented reality Description: Avatar-quality VR available on desktop in 2-3 years. Oculus Rift, High Fidelity and Google Glass drive new applications. Implications: Remote viewing; centrally located experts serving more areas; new practice areas; remote medicine. Bitcoin and block chain Description: Trustless, ultra-low-cost secure transactions enabled by distributed ledgers that log everything. Implications: The blockchain becomes a trust engine; most third-party validation functions become automated (e.g., multi-signatory contracts, voting systems, audit practices).


pages: 239 words: 80,319

Lurking: How a Person Became a User by Joanne McNeil

4chan, A Declaration of the Independence of Cyberspace, Ada Lovelace, Airbnb, AltaVista, Amazon Mechanical Turk, Burning Man, Chelsea Manning, Chris Wanstrath, citation needed, cloud computing, crowdsourcing, delayed gratification, dematerialisation, don't be evil, Donald Trump, drone strike, Edward Snowden, Elon Musk, feminist movement, Firefox, Google Earth, Google Glasses, Google Hangouts, helicopter parent, Internet Archive, invention of the telephone, Jeff Bezos, jimmy wales, l'esprit de l'escalier, Marc Andreessen, Mark Zuckerberg, Marshall McLuhan, means of production, Menlo Park, moral panic, move fast and break things, move fast and break things, Network effects, packet switching, PageRank, pre–internet, profit motive, QAnon, recommendation engine, Saturday Night Live, Shoshana Zuboff, Silicon Valley, slashdot, Snapchat, social graph, Stephen Hawking, Steve Jobs, Steven Levy, Stewart Brand, technoutopianism, Ted Nelson, Tim Cook: Apple, trade route, Turing complete, We are the 99%, web application, white flight, Whole Earth Catalog

Users, at its launch, complained about ads in Gmail—it’s creepy and feels like a robot is reading my email!—and Google Street View appeared, at first, as an obvious invasion of privacy, not to mention an act of hubris with an undercurrent of colonization. But a person—a user—can hardly rail against technology forever, when it is widely deployed. It isn’t normalization, exactly, but the nature of priorities in a busy life. Public discomfort with Google Glass was enough for the company to jettison its development; but an example like that is rare, not to mention never so extreme that users, en masse, boycotted Google for its missteps. Not that it is easy to give up searching. Because above all, Google is easy. Use became second nature so easily. All you had to do was wonder about something. In the recent past, Google articulated its purpose, fundamentally, as providing inroads and access to all possible digital representation.

Maybe they had a tennis buddy in common who intervened, or maybe he understood the inevitability of Facebook’s growing influence and hoped to get on the founder’s good side. Whatever his motivation, Sorkin, on that stage and with that trophy, might as well have shouted out: Don’t worry, world. It’s just a movie. Facebook is good after all! A 2013 XKCD comic satirizes the flip side of misfires in tech criticism. One character in the drawing says to another, “Maybe before we rush to adopt <Google Glass> we should stop to consider the consequences of blithely giving this technology such a central position in our lives.” The caption below the panel reads, “Don’t have any insights about a new technology? Just use this sentence! It makes you sound wise and you can say it about virtually anything.” The hover-text drives the point home: “The great thing is, the sentence is really just a reminder to the listener to worry about whatever aspects of the technology they’re already feeling alarmist about, which in their mind gives you credit for addressing their biggest anxieties.”

Many of the feminists in tech wrote op-eds and posted them for free on Medium, the hybrid platform-publisher-platisher-platypus free-for-all. Evan Williams, the founder of Medium, had previously founded Twitter and Blogger, but his new platform, which launched in 2012, was inscrutable. Medium, in its early years, seemed like a comprehensive list of every rejected Wired pitch, either stories that were too outlandishly techno-sociopathic (“What If Trayvon Martin Was Wearing Google Glasses?” was the title of an actual piece a Medium user published in 2013 that argued the device might have saved the teenager’s life) or commentary that ever so modestly addressed sexism in the tech industry (“Hi, pardon me, sorry, but could guys at software conferences please stop sexually harassing me?”). Later, a few of the popular feminist Medium writers went on to create a publication of their own called Model View Culture.


pages: 598 words: 134,339

Data and Goliath: The Hidden Battles to Collect Your Data and Control Your World by Bruce Schneier

23andMe, Airbnb, airport security, AltaVista, Anne Wojcicki, augmented reality, Benjamin Mako Hill, Black Swan, Boris Johnson, Brewster Kahle, Brian Krebs, call centre, Cass Sunstein, Chelsea Manning, citizen journalism, cloud computing, congestion charging, disintermediation, drone strike, Edward Snowden, experimental subject, failed state, fault tolerance, Ferguson, Missouri, Filter Bubble, Firefox, friendly fire, Google Chrome, Google Glasses, hindsight bias, informal economy, Internet Archive, Internet of things, Jacob Appelbaum, Jaron Lanier, John Markoff, Julian Assange, Kevin Kelly, license plate recognition, lifelogging, linked data, Lyft, Mark Zuckerberg, moral panic, Nash equilibrium, Nate Silver, national security letter, Network effects, Occupy movement, Panopticon Jeremy Bentham, payday loans, pre–internet, price discrimination, profit motive, race to the bottom, RAND corporation, recommendation engine, RFID, Ross Ulbricht, self-driving car, Shoshana Zuboff, Silicon Valley, Skype, smart cities, smart grid, Snapchat, social graph, software as a service, South China Sea, stealth mode startup, Steven Levy, Stuxnet, TaskRabbit, telemarketer, Tim Cook: Apple, transaction costs, Uber and Lyft, uber lyft, undersea cable, urban planning, WikiLeaks, zero day

They’re also talking about personalized marketing, and insurance companies may someday buy their data to make business decisions. Perhaps the extreme in the data-generating-self trend is lifelogging: continuously capturing personal data. Already you can install lifelogging apps that record your activities on your smartphone, such as when you talk to friends, play games, watch movies, and so on. But this is just a shadow of what lifelogging will become. In the future, it will include a video record. Google Glass is the first wearable device that has this potential, but others are not far behind. These are examples of the Internet of Things. Environmental sensors will detect pollution levels. Smart inventory and control systems will reduce waste and save money. Internet-connected computers will be in everything—smart cities, smart toothbrushes, smart lightbulbs, smart sidewalk squares, smart pill bottles, smart clothing—because why not?

Expect the same thing to happen with automatic face recognition. Initially, the data from private cameras will most likely be used by bounty hunters tracking down bail jumpers. Eventually, though, it will be sold for other uses and given to the government. Already the FBI has a database of 52 million faces, and facial recognition software that’s pretty good. The Dubai police are integrating custom facial recognition software with Google Glass to automatically identify suspects. With enough cameras in a city, police officers will be able to follow cars and people around without ever leaving their desks. This is mass surveillance, impossible without computers, networks, and automation. It’s not “follow that car”; it’s “follow every car.” Police could always tail a suspect, but with an urban mesh of cameras, license plate scanners, and facial recognition software, they can tail everyone—suspect or not.

They put a camera in a public place, captured images of people walking past, identified them with facial recognition software and Facebook’s public tagged photo database, and correlated the names with other databases. The result was that they were able to display personal information about a person in real time as he or she was walking by. This technology could easily be available to anyone, using smartphone cameras or Google Glass. Sometimes linking identities across data sets is easy; your cell phone is connected to your name, and so is your credit card. Sometimes it’s harder; your e-mail address might not be connected to your name, except for the times people refer to you by name in e-mail. Companies like Initiate Systems sell software that correlates data across multiple data sets; they sell to both governments and corporations.


pages: 329 words: 95,309

Digital Bank: Strategies for Launching or Becoming a Digital Bank by Chris Skinner

algorithmic trading, AltaVista, Amazon Web Services, Any sufficiently advanced technology is indistinguishable from magic, augmented reality, bank run, Basel III, bitcoin, business cycle, business intelligence, business process, business process outsourcing, buy and hold, call centre, cashless society, clean water, cloud computing, corporate social responsibility, credit crunch, crowdsourcing, cryptocurrency, demand response, disintermediation, don't be evil, en.wikipedia.org, fault tolerance, fiat currency, financial innovation, Google Glasses, high net worth, informal economy, Infrastructure as a Service, Internet of things, Jeff Bezos, Kevin Kelly, Kickstarter, M-Pesa, margin call, mass affluent, MITM: man-in-the-middle, mobile money, Mohammed Bouazizi, new economy, Northern Rock, Occupy movement, Pingit, platform as a service, Ponzi scheme, prediction markets, pre–internet, QR code, quantitative easing, ransomware, reserve currency, RFID, Satoshi Nakamoto, Silicon Valley, smart cities, social intelligence, software as a service, Steve Jobs, strong AI, Stuxnet, trade route, unbanked and underbanked, underbanked, upwardly mobile, We are the 99%, web application, WikiLeaks, Y2K

And that means being the bank that mines data to provide predictive, proactive, proximity based payments. This also means that the augmented economy is already a reality. The Augmented Economy “Any sufficiently advanced technology is indistinguishable from magic.” Arthur C. Clarke, 1917 - 2008 The augmented economy, where everything is connected and communicating and transacting non-stop, became a reality in 2013 when Google launched Google Glass. Google Glass is a pair of wifi glasses that allow you to see enhanced information about all that is around you in real-time. Google and influential commentators such as Robert Scoble believe this technology will change people’s lives forever. This will have a profound impact on society, and therefore customers and consumers for, if we can offer products and services at the customer’s point of existence through an augmented delivery 24*7, then we can change everything.

If you ever get confused, you can just go ask a Genius how it works in the App Store on the main street. The bank designed for humans will not have retail stores that are geared for transactions, but will have retail stores that reinforce a sense of belonging to their brand community online. Their brand community will be the community of people who are fans of their apps and services on mobiles and tablets and laptops. They may be fans who use the brand in augmented services, like Google Glass, to see if they can afford things as they cook, commute, shop, search, work and exercise. These fans see their financial service embedded in their daily lifestyle, not as something that is transacting but as something that is advising them at their point of living. And every now and again, they feel prompted to go and ask: how does this work or what do I do when and it gets them into a human contact at the bank’s Genius Bar in store or on the telephone.

The example I normally use is Google’s ability to understand our search and data usage needs. As we search, it can log our wants and desires, including those that you don’t want anyone else to know about. These wants and desires can then be leveraged through partnerships. For example, if you searched for a Sony Ultra HD TV last night and found it at Best Buy online for $2,499, you might be driving the next day and Google Glass will pop up an alert that the TV is on offer for pickup as you drive by Best Buy for just $1,999 if you go in-store now. This linkup may then be leveraged through extended partnership. So you drive to the store and Glass advises that Citibank will approve a 36-month $2,000 loan at a 1% discount on advertised credit rates. You don’t need to do anything other than say ‘yes’ or ‘no’ or ‘later’, and all of this is stored in your personal cloud.


When Computers Can Think: The Artificial Intelligence Singularity by Anthony Berglas, William Black, Samantha Thalind, Max Scratchmann, Michelle Estes

3D printing, AI winter, anthropic principle, artificial general intelligence, Asilomar, augmented reality, Automated Insights, autonomous vehicles, availability heuristic, blue-collar work, brain emulation, call centre, cognitive bias, combinatorial explosion, computer vision, create, read, update, delete, cuban missile crisis, David Attenborough, Elon Musk, en.wikipedia.org, epigenetics, Ernest Rutherford, factory automation, feminist movement, finite state, Flynn Effect, friendly AI, general-purpose programming language, Google Glasses, Google X / Alphabet X, Gödel, Escher, Bach, industrial robot, Isaac Newton, job automation, John von Neumann, Law of Accelerating Returns, license plate recognition, Mahatma Gandhi, mandelbrot fractal, natural language processing, Parkinson's law, patent troll, patient HM, pattern recognition, phenotype, ransomware, Ray Kurzweil, self-driving car, semantic web, Silicon Valley, Singularitarianism, Skype, sorting algorithm, speech recognition, statistical model, stem cell, Stephen Hawking, Stuxnet, superintelligent machines, technological singularity, Thomas Malthus, Turing machine, Turing test, uranium enrichment, Von Neumann architecture, Watson beat the top human players on Jeopardy!, wikimedia commons, zero day

The internet allows the meagre knowledge stored within our skulls to be augmented by all the documents in cyberspace. Mobile phones let us communicate effortlessly wherever we are with much the same effect as if we had psychic telepathy. New tools such as Google Glass can tell Google everything we see and hear, as well as provide pervasive assistance with an always-on screen. We need never be embarrassed by forgetting somebody’s name, as the machine will recognize their face and tell us instantly. If we feel hungry, the machine will automatically direct us to a restaurant based on our culinary preferences and the advertising fees paid. Google glass projects images into the wearer’s field of view. Corporate Google Cochlear implants go even further and directly stimulate the auditory nerves of patients with damaged ears. The implants decode sounds in the same way that the biological cochlear does, then stimulate the nerve based on the perceived frequencies.

Good believed that the survival of mankind depended upon the development of ultra intelligent machines quickly so that the machines could guide us away from such a disaster. However he then contradicted himself by hoping that the machine would be docile enough for it to tell us how to keep it under control. Saving us from ourselves. Owned WBlack Man and machine Man may eventually become one with his machines. My daughters are already one with their mobile phones. Augmented reality adds computer generated content to our view of the world. With Google Glass, for example, the computer sees everything that the wearer sees, as well as being able to project images onto the world that the user sees. When combined with facial recognition technology it promises to be very useful for remembering the names of acquaintances at parties, say. It is also possible to control simple machines using only one’s thoughts which are detected through brain waves. This can be provide a wonderful opportunity for people with severe disabilities to sense the world and interact with it with mindcontrolled prosthetic limbs.

The implants decode sounds in the same way that the biological cochlear does, then stimulate the nerve based on the perceived frequencies. There is considerable research in taking signals from either nerves or the brain itself to control prosthetic limbs, which may prove invaluable to amputees or people with damaged spinal cords. It is only a matter of time before small computers are embedded within the body itself. People already implant microchips into their pets so they can be found if they become lost. Ultimately, Google Glass may not need the glasses at all, and people will have continuous, almost subconscious access to all the power of cyberspace. Such implants might also be used to monitor and control the behaviour and thoughts of people deemed to be criminals. In the much more distant future, brain diseases such as dementia may be treated by replacing parts of the brain with computers that have been uploaded with the person’s consciousness.


pages: 561 words: 157,589

WTF?: What's the Future and Why It's Up to Us by Tim O'Reilly

4chan, Affordable Care Act / Obamacare, Airbnb, Alvin Roth, Amazon Mechanical Turk, Amazon Web Services, artificial general intelligence, augmented reality, autonomous vehicles, barriers to entry, basic income, Bernie Madoff, Bernie Sanders, Bill Joy: nanobots, bitcoin, blockchain, Bretton Woods, Brewster Kahle, British Empire, business process, call centre, Capital in the Twenty-First Century by Thomas Piketty, Captain Sullenberger Hudson, Chuck Templeton: OpenTable:, Clayton Christensen, clean water, cloud computing, cognitive dissonance, collateralized debt obligation, commoditize, computer vision, corporate governance, corporate raider, creative destruction, crowdsourcing, Danny Hillis, data acquisition, deskilling, DevOps, Donald Davies, Donald Trump, Elon Musk, en.wikipedia.org, Erik Brynjolfsson, Filter Bubble, Firefox, Flash crash, full employment, future of work, George Akerlof, gig economy, glass ceiling, Google Glasses, Gordon Gekko, gravity well, greed is good, Guido van Rossum, High speed trading, hiring and firing, Home mortgage interest deduction, Hyperloop, income inequality, index fund, informal economy, information asymmetry, Internet Archive, Internet of things, invention of movable type, invisible hand, iterative process, Jaron Lanier, Jeff Bezos, jitney, job automation, job satisfaction, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, Kevin Kelly, Khan Academy, Kickstarter, knowledge worker, Kodak vs Instagram, Lao Tzu, Larry Wall, Lean Startup, Leonard Kleinrock, Lyft, Marc Andreessen, Mark Zuckerberg, market fundamentalism, Marshall McLuhan, McMansion, microbiome, microservices, minimum viable product, mortgage tax deduction, move fast and break things, move fast and break things, Network effects, new economy, Nicholas Carr, obamacare, Oculus Rift, packet switching, PageRank, pattern recognition, Paul Buchheit, peer-to-peer, peer-to-peer model, Ponzi scheme, race to the bottom, Ralph Nader, randomized controlled trial, RFC: Request For Comment, Richard Feynman, Richard Stallman, ride hailing / ride sharing, Robert Gordon, Robert Metcalfe, Ronald Coase, Sam Altman, school choice, Second Machine Age, secular stagnation, self-driving car, SETI@home, shareholder value, Silicon Valley, Silicon Valley startup, skunkworks, Skype, smart contracts, Snapchat, Social Responsibility of Business Is to Increase Its Profits, social web, software as a service, software patent, spectrum auction, speech recognition, Stephen Hawking, Steve Ballmer, Steve Jobs, Steven Levy, Stewart Brand, strong AI, TaskRabbit, telepresence, the built environment, The Future of Employment, the map is not the territory, The Nature of the Firm, The Rise and Fall of American Growth, The Wealth of Nations by Adam Smith, Thomas Davenport, transaction costs, transcontinental railway, transportation-network company, Travis Kalanick, trickle-down economics, Uber and Lyft, Uber for X, uber lyft, ubercab, universal basic income, US Airways Flight 1549, VA Linux, Watson beat the top human players on Jeopardy!, We are the 99%, web application, Whole Earth Catalog, winner-take-all economy, women in the workforce, Y Combinator, yellow journalism, zero-sum game, Zipcar

At various architectural firms, architects and their clients equipped with augmented or virtual reality are stepping into their own models, modifying them, and seeing what they wish to build before they actually create anything in the physical world. Despite the much-publicized failure of Google Glass and the premature hype around virtual reality platforms such as Oculus Rift, there is plenty of evidence that augmented reality and virtual reality will have a powerful impact in on-demand learning. Smartphones and tablets alone are already being used effectively in areas like telehealth and shop floor communications and on-the-job training, and with Microsoft’s investment in HoloLens, continued experiments like Snap’s Spectacles, and rumored new products from Apple, not to mention that a next generation of Google Glass is likely still under development, I’m confident that there will be plenty of news on this front. Once you understand that a trend is happening, you can watch it unfold.

Feynman, 157–58. 341 discovered by sponsors and invited to competitions: John Hagel III, John Seely Brown, and Lang Davison, The Power of Pull (New York: Basic Books, 2010), 1–5. 342 “far beyond teachers or textbooks”: Brit Morin, “Gen Z Rising,” The Information, February 5, 2017, https://www.theinformation.com/gen-z-rising. 342 100 million hours of how-to videos: Google, “I Want-to-Do Moments: From Home to Beauty,” Think with Google, retrieved April 4, 2017, https://www.thinkwithgoogle.com/articles/i-want-to-do-micro-moments.html. 343 reflect the needs of the digital economy: “Skillful: Building a Skills-Based Labor Market,” Markle, retrieved April 4, 2017, https://www.markle.org/rework-america/skillful. 345 augmented reality display for infantry soldiers: Adam Clark Estes, “DARPA Hacked Together a Super Cheap Google Glass-Like Display,” Gizmodo, April 7, 2015, http://gizmodo.com/darpa-hacked-together-a-super-cheap-google-glass-like-d-1695961692. 345 deep commitment Microsoft has made to human augmentation: Satya Nadella, interviewed by Gerard Baker, “Microsoft CEO Envisions a Whole New Reality,” Wall Street Journal, October 30, 2016, https://www.wsj.com/articles/microsoft-ceo-envisions-a-whole-new-reality-1477880580. 346 equally but differently skilled: James Bessen, Learning by Doing (New Haven, CT: Yale University Press, 2015), 28–29. 346 “little to do with the knowledge acquired in college”: Ibid., 25. 346 “they published quality periodicals”: Ibid., 24. 347 “what it takes to create a stable, trained labor force”: Ibid., 36. 347 “sling JavaScript for their local bank”: Clive Thompson, “The Next Big Blue-Collar Job Is Coding,” Wired, February 2, 2017, https://www.wired.com/2017/02/program ming-is-the-new-blue-collar-job/. 348 “when shared by a critical mass of people”: Ryan Avent, The Wealth of Humans (New York: St.

I’m particularly fond of imagining how the model used by Partners in Health could be turbocharged by augmented reality and telepresence. The organization provides free healthcare to people in poverty using a model in which community health workers recruited from the population being served are trained and supported in providing primary care. Doctors can be brought in as needed, but the bulk of care is provided by ordinary people. Imagine a community health worker who is able to tap on Google Glass or some next-generation wearable, and say, “Doctor, you need to see this!” (Trust me. Glass will be back, when Google learns to focus on community health workers, not fashion models.) It’s easy to imagine how rethinking our entire healthcare system along these lines could reduce costs, improve both health outcomes and patient satisfaction, and create jobs. Imagine house calls coming back into fashion.


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Only Humans Need Apply: Winners and Losers in the Age of Smart Machines by Thomas H. Davenport, Julia Kirby

AI winter, Andy Kessler, artificial general intelligence, asset allocation, Automated Insights, autonomous vehicles, basic income, Baxter: Rethink Robotics, business intelligence, business process, call centre, carbon-based life, Clayton Christensen, clockwork universe, commoditize, conceptual framework, dark matter, David Brooks, deliberate practice, deskilling, digital map, disruptive innovation, Douglas Engelbart, Edward Lloyd's coffeehouse, Elon Musk, Erik Brynjolfsson, estate planning, fixed income, follow your passion, Frank Levy and Richard Murnane: The New Division of Labor, Freestyle chess, game design, general-purpose programming language, global pandemic, Google Glasses, Hans Lippershey, haute cuisine, income inequality, index fund, industrial robot, information retrieval, intermodal, Internet of things, inventory management, Isaac Newton, job automation, John Markoff, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, Joi Ito, Khan Academy, knowledge worker, labor-force participation, lifelogging, longitudinal study, loss aversion, Mark Zuckerberg, Narrative Science, natural language processing, Norbert Wiener, nuclear winter, pattern recognition, performance metric, Peter Thiel, precariat, quantitative trading / quantitative finance, Ray Kurzweil, Richard Feynman, risk tolerance, Robert Shiller, Robert Shiller, Rodney Brooks, Second Machine Age, self-driving car, Silicon Valley, six sigma, Skype, social intelligence, speech recognition, spinning jenny, statistical model, Stephen Hawking, Steve Jobs, Steve Wozniak, strong AI, superintelligent machines, supply-chain management, transaction costs, Tyler Cowen: Great Stagnation, Watson beat the top human players on Jeopardy!, Works Progress Administration, Zipcar

Engelbart, “Augmenting Human Intellect: A Conceptual Framework,” SRI Summary Report AFOSR-3223, prepared for Director of Information Sciences, Air Force, Office of Scientific Research, Washington 25, DC, Contract AF 49(638)-1024, SRI Project No. 3578 (AUGMENT,3906), October 1962, http://insitu.lri.fr/~mbl/ENS/FONDIHM/2012/papers/Englebart-Augmenting62.pdf. 5. Norbert Wiener, The Human Use of Human Beings: Cybernetics and Society (New York: Da Capo Press, 1988), 159. 6. Maddy Myers, “Google Glass: Inspired by Terminator,” Slice of MIT, May 30, 2013, https://slice.mit.edu/2013/05/30/google-glass-inspired-by-terminator/. 7. David Scott, remarks at the opening of the Computer Museum, June 10, 1982, transcript accessed October 29, 2015, http://klabs.org/history/history_docs/ech/agc_scott.pdf. 8. David A. Mindell, Digital Apollo: Human and Machine in Spaceflight (Cambridge, MA: MIT Press, 2008). 9. John Maynard Keynes, Essays in Persuasion (New York: Norton, 1963), 358–73. 10.

When a machine greatly augments your powers of information retrieval, as many information systems do, we would call that gaining a superpower. Indeed, in the Terminator film franchise, out of all the superhuman capabilities Skynet designed into its “cybernetic organisms,” the one filmgoers covet most is the instant pop-up retrieval of biographical information on any humans encountered. It was the inspiration, for example, for Google Glass, according to the technical lead on that product, Thad Starner.6 (And although we had to say Hasta la vista, baby, to that particular product, Google assures us it will be back.) When Tom wrote a book about knowledge workers a decade ago, there were already some examples of how empowering such information retrieval can be for them. He wrote in some detail, for example, about the idea of “computer-aided physician order entry,” particularly focusing on an example of this type of system at Partners HealthCare, a care network in Boston.

See also Vanguard Group ATMs, 14 augmentation in, 86–88 automated decision-making (robo-advisors) and other automated jobs, 11–12, 18, 20, 22, 25, 29, 48, 86, 87, 88, 92, 100, 105, 156–57, 198–99, 213, 214 bank failure, 90 Cathcart and WaMu, 89–91 creating a balance between computer-based and human skills, 105 federal regulatory agencies and, 214 hedge funds, 6, 84, 92–93, 95, 111 “portfolio management” jobs, 92 risk management systems, 146 Stepping Narrowly, Carey and, 172–73 Stepping Up in, 92–93 Finland, 239 Flickr, 125–26 food and food preparation, 122–23, 128 Ford, Martin, 205 Ford Motor Company, 1, 213 Foxconn, 2 Frames of Mind: The Theory of Multiple Intelligences (Gardner), 113 Franks, Bill, 43 Freud, Sigmund, 242 Future of Life Institute, 243–44, 247 open letter by, 247–48 Gardner, Howard, 113 Garland, Alex, 127 Gartner, 4, 43, 196 Gates, Bill, 226 Geist, Edward Moore, 245 General Motors, 213 Georgetown University’s Center on Education and the Workforce, 23 Gervais, Ricky, 109–10 Gibbons, Grinling, 159 Gladwell, Malcolm, 108 Glaser, Robert, 163 Global Drucker Forum, 248 Goldman Sachs, 156, 172–73, 186 Goldsberry, Kirk, 164 Gongos, 62–63 Google, 181, 213 Googlers-to-Googlers (G2G), 233 Google Classroom, 141 Google Glass, 65 Google Translate, 43, 53, 56, 151 Gou, Terry, 2, 224 Granakis, Alfred, 1 Gray, Peter, 118 Great Depression, 238, 239 Green, David, 6 Gretzky, Wayne, 160 guaranteed basic income, 241–43, 246 GW Medical Faculty Associates, 181 Hafez, Alex, 132, 143–44, 145, 146 Hanover Insurance, 102–3, 134 Hanson, David, 123 Hanson Robot, 123–24 Harrington, Brian, 101–2 Hawking, Stephen, 225–26 HCL Technologies, 204 health care and medicine adding new sources of data, 197 anesthesiologists, 19 augmentation in cancer care, 209–10 automated diagnosis and treatment protocols, 46, 54, 55–56, 66, 209 automation in, 14–15, 16–18, 19, 157 cancer research, 46, 60–61, 212 cognitive technologies in, 4–5, 17, 41 computer-aided physician order entry, 66 cost of AI programs, 155–56 cost of U.S., 155–56 Dr.


pages: 537 words: 149,628

Ghost Fleet: A Novel of the Next World War by P. W. Singer, August Cole

3D printing, Admiral Zheng, augmented reality, British Empire, digital map, energy security, Firefox, glass ceiling, global reserve currency, Google Earth, Google Glasses, IFF: identification friend or foe, Just-in-time delivery, low earth orbit, Maui Hawaii, MITM: man-in-the-middle, new economy, old-boy network, RAND corporation, reserve currency, RFID, Silicon Valley, Silicon Valley startup, South China Sea, sovereign wealth fund, stealth mode startup, trade route, Wall-E, We are Anonymous. We are Legion, WikiLeaks, zero day, zero-sum game

,” National Oceanic and Atmospheric Administration, accessed August 19, 2014, http://oceanservice.noaa.gov/facts/eez.html. 7 “as designated by the Mariana Trench”: Dan Vergano, “Bush to Make Pacific’s Mariana Trench a National Monument,” USA Today, January 6, 2009, accessed March 14, 2013, http://usatoday30.usatoday.com/tech/science/environment/2009-01-05-mariana-trench_N.htm. 7 “drop a Remora”: “Remora — Fast Reconnaissance AUV,” L-3 Ocean Systems, accessed August 16, 2014, http://www.l-3mps.com/oceansystems/remora.aspx. 9 viz glasses: Chris Smith, “2020 Vision: The Future of Google Glass,” TechRadar, October 19, 2013, accessed February 22, 2014, http://www.techradar.com/us/news/world-of-tech/2020-vision-the-future-of-google-glass-1190832. 10 “stuck in the Ghost Fleet”: “National Defense Reserve Fleet,” U.S. Department of Transportation Maritime Administration, accessed August 16, 2014, http://www.marad.dot.gov/ships_shipping_landing_page/national_security/ship_operations/national_defense_reserve_fleet/national_defense_reserve_fleet.htm. 10 Aegis cruiser: “The U.S.

Louis Magazine, February 22, 2012, accessed August 20, 2014, http://www.stlmag.com/What-its-Like-to-Sip-a-Century-Old-Champagne-From-a-Shipwreck/. 143 “article one, section eight”: “The Constitution of the United States: A Transcription,” National Archives, accessed August 20, 2014, http://www.archives.gov/exhibits/charters/constitution_transcript.html. 144 the graffiti: “Patent: Method and Apparatus for Creating Virtual Graffiti in a Mobile Virtual and Augmented Reality System, US 8350871 B2,” Google, January 8, 2013, accessed August 20, 2014, http://www.google.com/patents/US8350871. Also see http://grafiti.mobi/dig-graffiti-applications-and-tools-for-smes-and-users/. 146 first-generation Google Glass: “Google Glass: What It Does,” Google, accessed August 20, 2014, http://www.google.com/glass/start/what-it-does/. 148 passed the SIG Sauer P226 pistol: “Pistols — P226,” SIG Sauer, accessed August 20, 2014, http://www.sigsauer.com/catalogproductlist/pistols-p226.aspx. 151 The Versatrax 300: “Versatrax 300,” Inuktun, accessed July 24, 2014, http://www.inuktun.com/crawler-vehicles/versatrax-300.html. 156 old Defense Production Act: “The Defense Production Act of 1950, As Amended,” Department of Defense, accessed August 20, 2014, http://www.acq.osd.mil/mibp/dpac/final__defense_production_act_091030.pdf. 157 representing a sovereign wealth fund: “Sovereign Wealth Funds — Frequently Asked Questions,” February 27, 2008, European Commission, accessed August 20, 2014, http://europa.eu/rapid/press-release_MEMO-08-126_en.htm?

She noticed that his right ear was slightly lower than the left and that his nose had been broken at least once. He stiffened and then relaxed once she backed away. He lost his balance, and she lunged forward to steady him with an awkward hug. “Sweet Jesus,” said Mike. It was so real. He’d heard it was something about the way they projected a data stream onto your retinas that made it so different from the first-generation Google Glass. With these, you weren’t so much looking through the glass at the world; it was more like the world was being brought inside your brain. It gave you the sense of not just seeing, but feeling. And it felt damn weird. Vern led him by the hand to the graffiti. He saw the sticky red that part of his brain said was real, even down to its smell, and that drowned out the other part of his brain whispering that it wasn’t real, that it hadn’t been there just a few seconds ago.


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The End of Absence: Reclaiming What We've Lost in a World of Constant Connection by Michael Harris

4chan, Albert Einstein, AltaVista, Andrew Keen, augmented reality, Burning Man, Carrington event, cognitive dissonance, crowdsourcing, dematerialisation, en.wikipedia.org, Filter Bubble, Firefox, Google Glasses, informal economy, information retrieval, invention of movable type, invention of the printing press, invisible hand, James Watt: steam engine, Jaron Lanier, jimmy wales, Kevin Kelly, lifelogging, Loebner Prize, low earth orbit, Marshall McLuhan, McMansion, moral panic, Nicholas Carr, pattern recognition, pre–internet, Republic of Letters, Silicon Valley, Skype, Snapchat, social web, Steve Jobs, the medium is the message, The Wisdom of Crowds, Turing test

At my brother’s wedding, a hundred of us gathered in my parents’ backyard, beneath the glow of trailing paper lanterns strung throughout the trees and white tents. I remember breaking away from the festivities to check my phone, only to find that my friend was posting photos of the very wedding I’d stepped away from: pixelated simulacra of the moment I had left. The most obvious reason a person would ditch the authentic is, of course, to gain access to a heightened version of dull reality. Enter the promise and wonder of Google Glass, released in 2013, which offers just that—augmented reality. The “wearable computer” is a (slightly futuristic, slightly dorky) headset fixed with a miniature display and camera, which responds to voice commands. We can tell it to take a picture of what we’re looking at or simply pull up Google Images’ archive of vintage Hulk Hogan photos because we want to compare the hairdo being sported by that guy on the metro.

“We don’t educate people as others wished”: Max Chafkin, “Udacity’s Sebastian Thrun, Godfather of Free Online Education, Changes Course,” Fast Company, accessed December 2, 2013, http://www.fastcompany.com/3021473/udacity-sebastian-thrun-uphill-climb. “school was an invention of the printing press”: Neil Postman, Technopoly: The Surrender of Culture to Technology (New York: Vintage, 1993), 10. Marshall McLuhan argues that whenever we amplify: Marshall McLuhan, Understanding Media: The Extensions of Man, (Berkeley, Calif.: Ginkgo Press, 2003), 63–70. “Welcome to a world through glass”: “What It Does—Google Glass,” accessed September 5, 2013, http://www.google.com/glass/start/what-it-does/. “the brightness and glory of the Emerald City”: Baum, Wonderful Wizard of Oz, 88. “No more than in any other city”: Ibid., 151–52. “a cathedral quits its site”: Walter Benjamin, The Work of Art in the Age of Mechanical Reproduction (London: Penguin, 2008), 6. “The genuineness of a thing”: Ibid., 7.

., 92 Franklin, Benjamin, 192 friends, 30–31 Frind, Markus, 182–83 Furbies, 29–30 Füssel, Stephan, 103 Gaddam, Sai, 173 Gallup, 123 genes, 41–43 Gentile, Douglas, 118–21 German Ideology, The (Marx), 12n Gleick, James, 137 Globe and Mail, 81–82, 89 glossary, 211–16 Google, 3, 8, 18–19, 24, 33, 43, 49, 82, 96, 142, 185 memory and, 143–47 search results on, 85–86, 91 Google AdSense, 85 Google Books, 102–3 Google Glass, 99–100 Google Maps, 91 Google Plus, 31 Gopnik, Alison, 33–34 Gould, Glenn, 200–201, 204 GPS, 35, 59, 68, 171 Greenfield, Susan, 20, 25 Grindr, 165, 167, 171, 173–74, 176 Guardian, 66n Gutenberg, Johannes, 11–13, 14, 16, 21, 34, 98 Gutenberg Bible, 83, 103 Gutenberg Galaxy, The (McLuhan), 179, 201 Gutenberg Revolution, The (Man), 12n, 103 GuySpy, 171, 172, 173 Hangul, 12n Harari, Haim, 141 Harry Potter series, 66n Hazlehurst, Ronnie, 74 Heilman, James, 75–79 Henry, William A., III, 84–85 “He Poos Clouds” (Pallett), 164 History of Reading, A (Manguel), 16, 117, 159 Hollinghurst, Alan, 115 Holmes, Sherlock, 147–48 House at Pooh Corner, The (Milne), 93 Hugo, Victor, 20–21 “Idea of North, The” (Gould), 200–201 In Defense of Elitism (Henry), 84–85 Information, The (Gleick), 137 information retrieval, 141–42 Innis, Harold, 202 In Search of Lost Time (Proust), 160 Instagram, 19, 104, 149 Internet, 19, 20, 21, 23, 26–27, 55, 69, 125, 126, 129, 141, 143, 145, 146, 187, 199, 205 brain and, 37–38, 40, 142, 185 going without, 185, 186, 189–97, 200, 208–9 remembering life before, 7–8, 15–16, 21–22, 48, 55, 203 Internship, The, 89 iPad, 21, 31 children and, 26–27, 45 iPhone, see phones iPotty, 26 iTunes, 89 Jobs, Steve, 134 Jones, Patrick, 152n Justification of Johann Gutenberg, The (Morrison), 12 Kaiser Foundation, 27, 28n Kandel, Eric, 154 Kaufman, Charlie, 155 Keen, Andrew, 88 Kelly, Kevin, 43 Kierkegaard, Søren, 49 Kinsey, Alfred, 173 knowledge, 11–12, 75, 80, 82, 83, 86, 92, 94, 98, 141, 145–46 Google Books and, 102–3 Wikipedia and, 63, 78 Koller, Daphne, 95 Kranzberg, Melvin, 7 Kundera, Milan, 184 Lanier, Jaron, 85, 106–7, 189 latent Dirichlet allocation (LDA), 64–65 Leonardo da Vinci, 56 Lewis, R.


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The Economic Singularity: Artificial Intelligence and the Death of Capitalism by Calum Chace

3D printing, additive manufacturing, agricultural Revolution, AI winter, Airbnb, artificial general intelligence, augmented reality, autonomous vehicles, banking crisis, basic income, Baxter: Rethink Robotics, Berlin Wall, Bernie Sanders, bitcoin, blockchain, call centre, Chris Urmson, congestion charging, credit crunch, David Ricardo: comparative advantage, Douglas Engelbart, Elon Musk, en.wikipedia.org, Erik Brynjolfsson, Flynn Effect, full employment, future of work, gender pay gap, gig economy, Google Glasses, Google X / Alphabet X, ImageNet competition, income inequality, industrial robot, Internet of things, invention of the telephone, invisible hand, James Watt: steam engine, Jaron Lanier, Jeff Bezos, job automation, John Markoff, John Maynard Keynes: technological unemployment, John von Neumann, Kevin Kelly, knowledge worker, lifelogging, lump of labour, Lyft, Marc Andreessen, Mark Zuckerberg, Martin Wolf, McJob, means of production, Milgram experiment, Narrative Science, natural language processing, new economy, Occupy movement, Oculus Rift, PageRank, pattern recognition, post scarcity, post-industrial society, post-work, precariat, prediction markets, QWERTY keyboard, railway mania, RAND corporation, Ray Kurzweil, RFID, Rodney Brooks, Sam Altman, Satoshi Nakamoto, Second Machine Age, self-driving car, sharing economy, Silicon Valley, Skype, software is eating the world, speech recognition, Stephen Hawking, Steve Jobs, TaskRabbit, technological singularity, The Future of Employment, Thomas Malthus, transaction costs, Tyler Cowen: Great Stagnation, Uber for X, uber lyft, universal basic income, Vernor Vinge, working-age population, Y Combinator, young professional

[cxliii] Perhaps – and this is my favourite - we'll just call them our “Friends”. Wearables, insideables At the moment, the vessel which transports the primitive forebears of these essential guides is the smartphone, but that is merely a temporary embodiment. We will surely progress from portables to wearables (Apple Watch, Google Glass, smart contact lenses...) and eventually to “insideables”: sophisticated chips that we carry around inside our bodies. You doubt that Google Glass will make a comeback? The value of a head-up display, where the information you want is displayed in your normal field of vision, is enormous; that's why the US military is happy to pay half a million dollars for each head-up display helmet used by its fighter aircraft pilots. Apple Watch has been successful because some people will pay good money to simply raise their wrist rather than go to all the bother of pulling their smartphone out of their pocket.

Robots which can handle this unpredictability are still too expensive to replace human construction workers. There are experiments with exoskeletons for construction workers, but these are still expensive. 6. Technology. Firms are fighting to recruit and retain machine learning experts; the salaries and bonuses offered were previously unknown outside financial services and professional sports. Sales of wearables are growing, and the successors to Google Glass are out-selling smart watches. 7. Utilities. Water companies and power generation and transmission firms are building out fleets of tiny robots and drones which patrol pipes and transmission lines, looking for early warning signs of failure. 8. Finance. Retail banking is mostly automated and web-based, and consumer feedback on the quality of service is improving. Wealthy people now get some of their investment advice directly from automated systems, but human investment advisers still serve most of the market.


pages: 268 words: 75,850

The Formula: How Algorithms Solve All Our Problems-And Create More by Luke Dormehl

3D printing, algorithmic trading, Any sufficiently advanced technology is indistinguishable from magic, augmented reality, big data - Walmart - Pop Tarts, call centre, Cass Sunstein, Clayton Christensen, commoditize, computer age, death of newspapers, deferred acceptance, disruptive innovation, Edward Lorenz: Chaos theory, Erik Brynjolfsson, Filter Bubble, Flash crash, Florence Nightingale: pie chart, Frank Levy and Richard Murnane: The New Division of Labor, Google Earth, Google Glasses, High speed trading, Internet Archive, Isaac Newton, Jaron Lanier, Jeff Bezos, job automation, John Markoff, Kevin Kelly, Kodak vs Instagram, lifelogging, Marshall McLuhan, means of production, Nate Silver, natural language processing, Netflix Prize, Panopticon Jeremy Bentham, pattern recognition, price discrimination, recommendation engine, Richard Thaler, Rosa Parks, self-driving car, sentiment analysis, Silicon Valley, Silicon Valley startup, Slavoj Žižek, social graph, speech recognition, Steve Jobs, Steven Levy, Steven Pinker, Stewart Brand, the scientific method, The Signal and the Noise by Nate Silver, upwardly mobile, Wall-E, Watson beat the top human players on Jeopardy!, Y Combinator

If he doesn’t carry out these steps, he says, “I’m off for the rest of the day.”6 Robo-cize the World While QS’s reliance on cutting-edge technology, social networking and freedom-through-surveillance might seem quintessentially modern—very much a creation of post-9/11 America—the roots of what can be described as “body-hacking” go back a number of years. The 1980s brought about the rise of the “robo-cized” athletes who used Nautilus, Stairmaster and other pieces of high-tech gym equipment to sculpt and hone their bodies to physical perfection. That same decade saw the advent of the portable technology known as the Sony Walkman (a nascent vision of Google Glass to come), which transformed public spaces into a controllable private experience.7 Building on this paradigm, the 1990s was home to MIT’s Wearable Computing Group, who took issue with what they considered to be the premature usage of the term “personal computer” and insisted that: A person’s computer should be worn, much as eyeglasses or clothing are worn, and interact with the user based on the context of the situation.

The first time I spoke with Ming, it was May 2013, and she was sitting in the back of a taxicab on her way to San Francisco International Airport. A tall, striking woman with silver-blue eyes and strawberry-blond hair, Ming is a theoretical neuroscientist with a Carnegie Mellon University pedigree. Effortlessly assured, her geeky engineering side is evidenced by the fact that she wears a prerelease Google Glass headset. In addition to her neuroscience background, Ming’s Twitter profile describes her as an “intrepid entrepreneur, undesirable superhero [and] very sleepy mother.” Ming is deeply invested in Gild’s utopian vision of turning the workplace into the kind of meritocracy she believes it should be. “This is the way things ought to work, right?” she says, rhetorically. “The person making the hiring decisions really should have an accurate picture of who I am—not just a snap judgment made because I look a certain way.

(Winner) 134 Dodds, Peter 172–76 Dominguez, Jade 25 Dostoyevsky, Fyodor 118 Dourish, Paul 231 Dow Jones 219 drunk driving 142–44 Eagle, Nathan 85 Ecker, David 206–7, 219 eHarmony 71, 74–77, 88 see also Internet; love and sex; Warren, Neil Clark Eisenstein, Sergei 178 Electric Dreams 103 Ellul, Jacques 5, 56 EMD Serono 58 emotion sniffing 51–52 Emotional Optimisation 200–201 Enchanted Loom, The (Jastrow) 96 entertainment, see art and entertainment Epagogix 165–68, 170–72, 176, 179, 191, 203, 205 Eric Berne Memorial Scientific Award 23 Essay on the Moral Statistics of France (Guerry) 117 “Experimental Study of Inequality and Unpredictability in an Artificial Cultural Market” 173 Facebook 232, 241 and Facedeals 20 and facial recognition 215 how algorithms work with 2 jobs at 27 profiles, and people’s success 30–31 profiles, traits inferred from 37–38 Timeline feature on 38–39 and YouAreWhatYouLike 37 Facedeals 20 facial recognition and analysis 20, 33, 91, 146, 151, 193, 215 and Internet dating 78 Failing Law Schools (Tamanha) 216 Family Guy 196 Farewell to the Working Class (Gorz) 217–18 Fast Company 3, 35, 128, 220 on Amazon 44–5 Faster Than Thought (Bowden) 184 Faulkner, William 187 Feldman, Konrad 18–19 films, see art and entertainment Filter Bubble, The (Pariser) 47 Fincher, David 189 Find the Love of Your Life (Warren) 73 FindYourFaceMate 78 Fitbit 13 FitnessSingles 78 Flash Crash 219 flexitime 43 Food Stamp Act (US) 154–55 Ford, Henry 44 Foucault, Michel 101 Fourastie, Jean 219 Freud, Sigmund 11 Friedman, Milton 218 Galbraith, Robert 187 Gale, David 62–63, 66 Galton, Francis 31–32 gaming technology 32–33 Gass, John 148 Gates, Bill 182 Geek Logik (Sundem) 67–68 gender reassignment 26 GenePartner 77–78 Generation X (Coupland) 16 Gibson, William 194n Gild 25–26, 29–30 Gillespie, Tarleton 233 Gladwell, Malcolm 211 Goldman, William 161, 173 Good Morning America 67 Google 201–2 and auto-complete 225–27 claimed objectivity of 220–21 differentiated results from 46–48 dynamic-pricing patent granted to 50; see also differential pricing employment practices of 41–42 and facial recognition 215 Flu Trends algorithm of 238–39 how algorithms work with 2 and inadvertent racism 151 and Lake Wobegone Strategy 27–29 Levy’s study of 41 and news-outlet decline 225–27 People Analytics Group within 41–42; see also web analytics and self-driving cars 143, 213 Slate article on 41 and UAL 229 Google Earth 135 Google Glass 14, 26 Google Maps 16, 134–35 Google Street View 227 Google Translate 215, 221 Gorz, André 217 Gottschall, Jonathan 186 Gould, Stephen Jay 33–34 Graf, Daniel 135 graph theory 182 Grindr 89, 152 Guardian 84 Guattari, Félix 48, 54 Guerry, André-Michel 114–18 Gusfield, Joseph 142–43 Halfteck, Guy 32–34 Hansen, Mark 53 Hanson, Curtis 167 Heaven’s Gate 167 Henry VI (Shakespeare) 125–26 Her 103 Hitchcock, Alfred 17 Hogge, Becky 44 Holmes, Katie 68–69 Holmes, Oliver Wendell Jr. 158 Horkheimer, Max 179, 205 House of Cards 188–89 House of Commons, rebuilding of 45 How the Mind Works (Pinker) 80 Human Dynamics (at MIT) 85 Hume, David 199–200 Hunch 37, 234 Hunger Games, The 169 Hutcheson, Joseph C.


pages: 397 words: 110,130

Smarter Than You Think: How Technology Is Changing Our Minds for the Better by Clive Thompson

4chan, A Declaration of the Independence of Cyberspace, augmented reality, barriers to entry, Benjamin Mako Hill, butterfly effect, citizen journalism, Claude Shannon: information theory, conceptual framework, corporate governance, crowdsourcing, Deng Xiaoping, discovery of penicillin, disruptive innovation, Douglas Engelbart, Douglas Engelbart, drone strike, Edward Glaeser, Edward Thorp, en.wikipedia.org, experimental subject, Filter Bubble, Freestyle chess, Galaxy Zoo, Google Earth, Google Glasses, Gunnar Myrdal, Henri Poincaré, hindsight bias, hive mind, Howard Rheingold, information retrieval, iterative process, jimmy wales, Kevin Kelly, Khan Academy, knowledge worker, lifelogging, Mark Zuckerberg, Marshall McLuhan, Menlo Park, Netflix Prize, Nicholas Carr, Panopticon Jeremy Bentham, patent troll, pattern recognition, pre–internet, Richard Feynman, Ronald Coase, Ronald Reagan, Rubik’s Cube, sentiment analysis, Silicon Valley, Skype, Snapchat, Socratic dialogue, spaced repetition, superconnector, telepresence, telepresence robot, The Nature of the Firm, the scientific method, The Wisdom of Crowds, theory of mind, transaction costs, Vannevar Bush, Watson beat the top human players on Jeopardy!, WikiLeaks, X Prize, éminence grise

The first wearable was cocreated in 1960 by Claude Shannon: Edward O. Thorp, “The Invention of the First Wearable Computer,” Proceedings of the 2nd IEEE International Symposium on Wearable Computers (1998): 4–8, accessed March 23, 2013, graphics.cs.columbia.edu/courses/mobwear/resources/thorp-iswc98.pdf. Critics have already noted how unsettling it might feel: Mark Hurst, “The Google Glass Feature No One Is Talking About,” Creative Good (blog), February 28, 2013, accessed March 24, 2013, creativegood.com/blog/the-google-glass-feature-no-one-is-talking-about/; Adrian Chen, “If You Wear Google’s New Glasses You Are an Asshole,” Gawker, March 3, 2013, accessed March 24, 2013, http://gawker.com/5990395. Their recall improved, sometimes dramatically: Steve Hodges, Lyndsay Williams, Emma Berry, Shahram Izadi, James Srinivasan, Alex Butler, Gavin Smyth, Narinder Kapur, and Ken Wood, “SenseCam: A Retrospective Memory Aid,” Proceedings of the 8th International Conference of Ubiquitous Computing (2006): 177–93; Georgina Browne, Emma Berry, Narinder Kapur, Steve Hodges, Gavin Smyth, Peter Watson, and Ken Wood, “SenseCam Improves Memory for Recent Events and Quality of Life in a Patient with Memory Retrieval Difficulties,” Memory 19, no. 7 (2011): 713–22; Georgina Browne, Emma Berry, Steve Hodges, Gavin Smyth, Alex Butler, Lyndsay Williams, James Srinivasan, Alban Rrustemi, and Ken Wood, “Stimulating Episodic Memory Using SenseCam,” poster presentation on Microsoft Research Web site (2007), accessed March 24, 2013, research.microsoft.com/pubs/132686/4%20Festival%20of%20Internation%20Conferences%20Poster%20.pdf; and personal interview with Lyndsay Williams and Ken Wood.

The guts of the computer are the size of a small softcover book, strapped to his torso in what amounts to a high-tech man purse. He types into it using a Twiddler, an egg-sized device that lets him write with one hand. And what’s most prominent is the screen—a tiny LCD clipped to his glasses, jutting out just in front of his left eyeball. While you or I have to pull out a phone to look up a fact, he’s got a screen floating in space before him. You might have seen pictures of Google Glass, a wearable computer the company intends to release in 2014. Starner’s helping Google build it, in part because of his long experience: He’s been wearing his for two decades. “This is about creating a higher level of intellect—an augmented intellect,” he tells me when I meet him. Starner has a cheery, surferlike handsomeness, but the tiny black protuberance jutting out of his glasses is at first pretty jarring.

See also mapping ambient awareness of, 242–43 geography, impact on message, 62–63 location-based sharing, 81 gerrymandering, 84–86 Ghonim, Wael, 255–57, 272 Gibson, William, 9 Gilman, Charlotte Perkins, 225 Giovanni, Daniel, 38 Gladwell, Malcolm, 229 Glaeser, Edward, 15 Gleeson, Colleen, 186 Gleick, James, 259 Global Network Initiative, 277 Gmail mail as lifelog, 43–44 mail storage and ads, 28 as transactive memory tool, 131 Goffman, Erving, 238 Gold, Heather, 79–80, 226 Goodreads, 82, 243 Google collaborative projects, 171 collective knowledge as basis, 170–71 mail. See Gmail search method, 33, 37 Google Blogger, 275 Google Chat, 42 Google Docs, 155 Google Earth, 62, 171 Google Glass, 138, 141–42 Gosling, Sam, 215–16 Graham, Steve, 184 Granovetter, Mark, 227–29 Gray, Brenna Clarke, 56 Great Firewall (China), 250, 271, 273 Greeks, ancient, on writing versus debate, 68–69, 75 Grindr, 81 Guardian, 170 Guardian Project, 274 Gurrin, Cathal, 33–35, 41–42 Gutenberg, Johann, 12, 118–19, 121 Haiti earthquake, 63, 265–66 Hajizada, Adnan, 268–69, 274 Haley, Ben, 209–10 Hamilton, Buffy, 207 Hamilton, Filippa, 108 hand waving, 53–54 Harris, Frances, 205–6 hashtag, development of, 65–66 Hayden, Theresa Nielsen, 79 Heath, Christian, 213 Hein, Ethan, 72–73 Henkin, David, 49 Hersman, Erik, 62 Hickey, Lisa, 215 Hinckl, Andy, 285–86 hindsight bias, 27 Historia Naturalis, 40 history, learning through video games, 199–202 hive mind, 172 Holmes, Sherlock, 172–73 homophily, 230–31, 261, 261–63 Horvitz, Eric, 39 Hydra, 5 hyperlinks, early concept, 123 index, origin of, 121 India, and online dissent, 275–76 Innis, Harold, 8 innovation and discovery eureka moments, 131–32 theory of multiples, 58–66 Instagram, 109–10 Instapaper, 136 Internet censorship, global view, 250 early visionaries on, 122–23 human dependence on, 116 as social observation tool, 153 Internet & American Life Project, 187–88 Iran dissidents, identifying online, 270 media bans in, 267 photomanipulation, use of, 107 Ito, Mizuko, 210–11 Jackson, Maggie, 137 Jacobi, Emily, 261 James, William, 237 Jardin, Xeni, 108 Jcham979, 94–95, 98 Jenkins, Henry, 187, 202 Jennings, Ken, 282, 288 Jeopardy!


pages: 405 words: 117,219

In Our Own Image: Savior or Destroyer? The History and Future of Artificial Intelligence by George Zarkadakis

3D printing, Ada Lovelace, agricultural Revolution, Airbnb, Alan Turing: On Computable Numbers, with an Application to the Entscheidungsproblem, animal electricity, anthropic principle, Asperger Syndrome, autonomous vehicles, barriers to entry, battle of ideas, Berlin Wall, bioinformatics, British Empire, business process, carbon-based life, cellular automata, Claude Shannon: information theory, combinatorial explosion, complexity theory, continuous integration, Conway's Game of Life, cosmological principle, dark matter, dematerialisation, double helix, Douglas Hofstadter, Edward Snowden, epigenetics, Flash crash, Google Glasses, Gödel, Escher, Bach, income inequality, index card, industrial robot, Internet of things, invention of agriculture, invention of the steam engine, invisible hand, Isaac Newton, Jacquard loom, Jacques de Vaucanson, James Watt: steam engine, job automation, John von Neumann, Joseph-Marie Jacquard, Kickstarter, liberal capitalism, lifelogging, millennium bug, Moravec's paradox, natural language processing, Norbert Wiener, off grid, On the Economy of Machinery and Manufactures, packet switching, pattern recognition, Paul Erdős, post-industrial society, prediction markets, Ray Kurzweil, Rodney Brooks, Second Machine Age, self-driving car, Silicon Valley, social intelligence, speech recognition, stem cell, Stephen Hawking, Steven Pinker, strong AI, technological singularity, The Coming Technological Singularity, The Future of Employment, the scientific method, theory of mind, Turing complete, Turing machine, Turing test, Tyler Cowen: Great Stagnation, Vernor Vinge, Von Neumann architecture, Watson beat the top human players on Jeopardy!, Y2K

More recently, a host of ‘wearable computing’ products has hit the market. Nike’s Fuel Band helps users to monitor and stimulate their body’s activity, and thus become more active and healthy. In 2013, Google launched ‘Google Glass’ which enhances human communication capabilities by connecting the wearer constantly to the Internet. Google Glass takes our contemporary symbiosis with social networks to the next level; the wearer is always connected, he or she becoming an information node in the global telecommunications network. In 2002, British scientist Kevin Warwick, presaging Google Glass somewhat gruesomely, had a hundred electrodes surgically implanted in the median nerve fibres of his left arm. Using the electrodes, he connected his nervous system to the Internet and thereby controlled a host of electrical devices including a robotic arm, a loudspeaker and an amplifier.

Scott 276–7 Flowers, Tommy 235 Forbidden Planet (1956 film) vii–viii, xvii formal logical systems 200–11 Foxconn 267 FOXP2 gene 13 Frankenstein (Mary Shelley) 40, 60–5, 165 Franklin, Benjamin 37, 38–9 Frege, Gottlob 141, 198–200 Fremont-Smith, Frank 175–6 Friar Bacon and Friar Bungay (play) 35–6, 58 functional magnetic resonance imaging (fMRI) 158–9, 160, 161 Gaia theory 46–7 Galatea 49, 50 Galen of Pergamus (Claudius Galenus) 31–2 Galileo Galilei 102 Galvani, Luigi 39 galvanism 61 Gazzaniga, Michael 23–4 Geminoid F robots 72 general intelligence 8, 12, 13–15, 16–17 genes, and language evolution 13–15 Genesis, book of 29, 30, 58 genomes 123–4 German gothic writing 61–5, 68 Gibson, William 36 Gilbert, William 38 God, authority of 113–14 Gödel, Kurt 141, 180, 183, 186–7, 198, 206–9, 211–16 Gödel numbering 207 Goethe, Johann Wolfgang von 63 golems 45 Google 147, 233, 255, 264, 270 Google Glass 81 Google Search 250 gothic writing of the 19th century 61–5, 68 governments, watching citizens online 250–1 Great Recession (2007 onwards) 314 Greene, Robert 35 Gulliver’s Travels (Swift) 202–3 HAL 9000 computer 257 Hameroff, Stuart xvi, 106–9, 117, 212 hard choices, inability of AI to cope with 277–8 Hawking, Stephen 91, 119, 146, 270 Hayles, Katherine 146 Heisenberg’s uncertainty principle 208 Hellenistic period 31–3, 135 Helmreich, Stefan 105–6 Hephaestus 33, 49 Herbert, Frank 290 Hero of Alexandria 31 high-level consciousness 12 Hilbert, David viii, 201–11 Hipparchus 31 Hippocrates (460–370 bc) 31 Hobbes, Thomas 36–7 Hoffmann, E.


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The Four: How Amazon, Apple, Facebook, and Google Divided and Conquered the World by Scott Galloway

activist fund / activist shareholder / activist investor, additive manufacturing, Affordable Care Act / Obamacare, Airbnb, Amazon Web Services, Apple II, autonomous vehicles, barriers to entry, Ben Horowitz, Bernie Sanders, big-box store, Bob Noyce, Brewster Kahle, business intelligence, California gold rush, cloud computing, commoditize, cuban missile crisis, David Brooks, disintermediation, don't be evil, Donald Trump, Elon Musk, follow your passion, future of journalism, future of work, global supply chain, Google Earth, Google Glasses, Google X / Alphabet X, Internet Archive, invisible hand, Jeff Bezos, Jony Ive, Khan Academy, longitudinal study, Lyft, Mark Zuckerberg, meta analysis, meta-analysis, Network effects, new economy, obamacare, Oculus Rift, offshore financial centre, passive income, Peter Thiel, profit motive, race to the bottom, RAND corporation, ride hailing / ride sharing, risk tolerance, Robert Mercer, Robert Shiller, Robert Shiller, Search for Extraterrestrial Intelligence, self-driving car, sentiment analysis, shareholder value, Silicon Valley, Snapchat, software is eating the world, speech recognition, Stephen Hawking, Steve Ballmer, Steve Jobs, Steve Wozniak, Stewart Brand, supercomputer in your pocket, Tesla Model S, Tim Cook: Apple, Travis Kalanick, Uber and Lyft, Uber for X, uber lyft, undersea cable, Whole Earth Catalog, winner-take-all economy, working poor, young professional

But Apple stands alone as a luxury brand. That difference presents an immense advantage, providing fatter margins and a competitive edge. Luxury insulates the Apple brand, and hoists it above the price wars raging below. For now, I see modest competition for Apple from the other horsemen. Amazon sells cut-rate tablets. Facebook is no sexier than a phone book. And Google’s one venture into wearable computing, Google Glass, was a prophylactic, guaranteeing that the wearer would never have the chance to conceive a child, as nobody would get near them. Apple likely has deeper moats than any firm in the world, and its status as a luxury brand will aid its longevity. While the other three companies, the alpha lions on the veldt of high-tech competition, still face the prospect of an early demise, only Apple has the potential to cheat death.

The most powerful force in the universe is regression to the mean. Everyone dies, and gets it wrong along the way. Mark Zuckerberg has been (very) right about a lot of things and was due to make an enormously bad call. And he has. Technology firms do not (yet) have the skills to shape people’s decisions on what to wear in public. People care (a lot) about their looks. Most don’t want to look like they’ve never kissed a girl. Remember Google Glass? It got people beaten up. The bottom line is everyone wearing a VR headset looks ridiculous. VR will be to Zuck what Gallipoli was to Churchill, a huge failure that shows he can be (very) wrong, but won’t slow his march toward victory. The company is still positioned to dominate the global media market—and reinvent advertising for the twenty-first century. Insatiable A devouring beast, Facebook will continue with more of the same.

ROI, 250–51, 251 wealth creation, 244–45 Carey, David, 256–57 CEOs, 38, 253–55 China, 160, 170, 190, 206–10 cloud services, 9, 41–42 collection instinct, 15–16, 176 Comcast, 228–29 competition, 8, 179–82, 189 compulsory carelessness, 174 cons in tech field, 157–68 consumer packaged goods (CPG), 51, 173 Cook, Tim, 68–69, 87 craftsmanship, 78–79 curiosity, 235 data and artificial intelligence, 198–99 behavioral data, 196–200 borrowing/reselling of, 161–63 breaches, 104 cross-silo sharing of, 163, 168 and the Fifth Horseman, 199 low cost/high value tension of, 164 and political polarization, 162 and T Algorithm, 196 deception, 158 decision making emotional, 171–73, 177 rational, 169–71, 175–77 sexual, 173–75, 178–79 design, 78–79 differentiation, 184–88, 225–26 Drexler, Mickey, 79–80, 189 e-commerce, 18, 23–24, 41, 45–48 education, 11–12, 93, 93–95, 231–32 emotional maturity, 233–35 emotion-based decisions, 171–73, 177 employees and automation, 52–54 exceptional vs. good, 231 of Four Horsemen, 266 return on human capital, 6, 6 serial monogamy of, 245–46 and T Algorithm, 201–2 value of, in stores, 62 entrepreneurs, 253–55, 257, 260–64 European Union (EU), 152, 168 Facebook, 96–125 and advertising, 99, 108, 108, 113, 113–14, 257, 258 agility of, 235 algorithm of, 105, 105–8, 117–19 analog moats of, 91 borrowing/reselling of user data, 164 brands’ investments in, 165, 166 capitalization of, 115, 188 and competition, 9, 181 connections/relationships on, 100–102, 102, 177 content generated on, 112–13, 164 and cross-silo data sharing, 163 current state of affairs, 4–5 data collection of, 99–100, 163, 200 eavesdropping of, 103–4 employees of, 268 engagement levels on, 111 and EU regulators, 168 and failure, 39 and fake news, 120–21, 122–23, 124, 125, 194 global reach of, 190, 191 and Google, 99 and hate crimes, 121 headquarters of, 202 heart-based appeal of, 177 images on, 110–11 influence of, 97–98 likability of, 193–94 and low cost/high value data, 164 market adjustments of, 111–12 and marketing funnel, 98 as media company, 119–25 and media landscape, 115–16, 119–21 and NYT’s content, 139 and political polarization, 118–19, 123 and privacy concerns, 104, 168 product differentiation of, 187 and psychological vulnerabilities, 123–24 return on human capital, 6, 6 and Snapchat, 109–10 success of, 4–5, 265–66 targeting of, 99–100, 106–7, 196 time spent on, 96, 97 vertical integration of, 195 virtual reality venture of, 113–14 and WhatsApp, 96, 97, 108, 111, 168 and Zuckerberg, 110–11, 114–15, 193 failure, 39, 40, 261–62 fake news, 120–21, 122–23, 124, 125, 194 Falcone, Phil, 139–40, 142–43, 145, 151 Fifth Horseman, 204–29 Airbnb, 225–27 Alibaba, 206, 206–10 IBM, 227–28 Microsoft/LinkedIn, 222–25 Tesla, 210–13, 213 Uber, 214–20 Verizon/AT&T/Comcast/Time Warner, 228–29 Walmart, 220–21 Firebrand Partners, 142–43 founders, iconic, 76–78 Four Horsemen acquisitions of, 7–8 and competition, 8–9, 92, 205–6 competitive strategies of, 179–82 (see also body, biology, and business) current state of affairs, 3–5 employees of, 266 and failure, 39, 40 lifespans of, 182 power of, 265 successors of, 183 (see also Fifth Horseman) trillion-dollar valuation (see T Algorithm) value of, 7, 7 See also Amazon; Apple; Facebook; Google free will, 123 friction, removal of, 57, 186–88 The Gap, 23, 79–80, 81 Gates, Bill, 4, 153, 155, 192 Gateway, 11, 178 General Motors, 6, 6, 266 genitals and decision-making, 173–75 global reach of companies, 190–91 Google, 126–56 and About.com, 151 and advertising, 108, 108, 113, 113–14, 137–38, 162, 164, 257, 258 and Alphabet, 135 and Amazon, 60, 188–89 ambitions of, 154 analog moats of, 91 and autonomous vehicles, 39, 155, 166, 188, 229 borrowing/reselling of user data, 161–63 brain-based appeal of, 175–76 and brand era’s demise, 172–73 capitalization of, 134, 134, 188 cash flow of, 133 and competition, 8–9, 92, 131–32, 152, 154, 181 and Congressional hearings, 161–62, 192–93 consumer trust in, 130–35, 176 and cross-silo data sharing, 163 current state of affairs, 5 data collection of, 199, 200 defining factors for, 132 employees of, 155–56, 202 and Facebook, 99 and failure, 39 global reach of, 191 Google Glass, 92, 115 headquarters of, 202 home page of, 132, 133 influence of, 132 and knowledge pursuits of users, 127–30, 175–76 likability of, 192–93 lowering costs for advertising, 133 as media company, 119–20, 125 and media/publishers, 161–62, 192–93 and Microsoft, 155 as modern religion, 126–27 and NYT’s content, 107, 116, 139–47, 148, 150, 151 origins of, 153 predictive power of, 135–36 and privacy implications, 136 product differentiation of, 187 and product searches, 8, 189 profits/revenue, 5, 133, 162 properties of, 154 public utility status of, 152, 154 sales people at, 262 search algorithm of, 105, 106, 130, 136–37, 147, 150, 151, 162, 176 server farms, 91 suspicious searches on, 135–36, 199 and taxes, 133–34 vertical integration of, 194–95 vulnerability of, 152–53 Graziano, Joseph, 81 grocery retailers, 58–59, 61 Grove, Andrew, 192 Hamilton, Alexander, 159–60 Harbinger Capital Partners, 139–40, 142–43.


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The New Digital Age: Transforming Nations, Businesses, and Our Lives by Eric Schmidt, Jared Cohen

access to a mobile phone, additive manufacturing, airport security, Amazon Mechanical Turk, Amazon Web Services, anti-communist, augmented reality, Ayatollah Khomeini, barriers to entry, bitcoin, borderless world, call centre, Chelsea Manning, citizen journalism, clean water, cloud computing, crowdsourcing, data acquisition, Dean Kamen, drone strike, Elon Musk, failed state, fear of failure, Filter Bubble, Google Earth, Google Glasses, hive mind, income inequality, information trail, invention of the printing press, job automation, John Markoff, Julian Assange, Khan Academy, Kickstarter, knowledge economy, Law of Accelerating Returns, market fundamentalism, means of production, MITM: man-in-the-middle, mobile money, mutually assured destruction, Naomi Klein, Nelson Mandela, offshore financial centre, Parag Khanna, peer-to-peer, peer-to-peer lending, personalized medicine, Peter Singer: altruism, Ray Kurzweil, RFID, Robert Bork, self-driving car, sentiment analysis, Silicon Valley, Skype, Snapchat, social graph, speech recognition, Steve Jobs, Steven Pinker, Stewart Brand, Stuxnet, The Wisdom of Crowds, upwardly mobile, Whole Earth Catalog, WikiLeaks, young professional, zero day

Project Glass: Babak Parviz, Steve Lee, Sebastian Thrun, “Project Glass,” Google+, April 4, 2012, https://plus.google.com/+projectglass/posts; Nick Bilton, “Google Begins Testing Its Augmented-Reality Glasses,” Bits (blog), New York Times, April 4, 2012, http://bits.blogs.nytimes.com/2012/04/04/google-begins-testing-its-augmented-reality-glasses/. and similar devices from other companies are on the way: Todd Wasserman, “Apple Patent Hints at Google Glass Competitor,” Mashable, July 5, 2012, http://mashable.com/2012/07/05/apple-patent-google-glass/; Molly McHugh, “Google Glasses Are Just the Beginning: Why Wearable Computing Is the Future,” Digital Trends, July 6, 2012, http://www.digitaltrends.com/computing/google-glasses-are-just-the-beginning-why-wearable-computing-is-the-future/#ixzz29PI4PWK4. introducing bills that would force communications services: Declan McCullagh, “FBI: We Need Wiretap-Ready Web Sites—Now,” CNET, May 4, 2012, http://news.cnet.com/8301-1009_3-57428067-83/fbi-we-need-wiretap-ready-web-sites-now/; Charlie Savage, “As Online Communications Stymie Wiretaps, Lawmakers Debate Solutions,” New York Times, February 17, 2011, http://www.nytimes.com/2011/02/18/us/18wiretap.html.


pages: 480 words: 123,979

Dawn of the New Everything: Encounters With Reality and Virtual Reality by Jaron Lanier

4chan, augmented reality, back-to-the-land, Buckminster Fuller, Burning Man, carbon footprint, cloud computing, collaborative editing, commoditize, cosmological constant, creative destruction, crowdsourcing, Donald Trump, Douglas Engelbart, Douglas Hofstadter, El Camino Real, Elon Musk, Firefox, game design, general-purpose programming language, gig economy, Google Glasses, Grace Hopper, Gödel, Escher, Bach, Hacker Ethic, Howard Rheingold, impulse control, information asymmetry, invisible hand, Jaron Lanier, John von Neumann, Kevin Kelly, Kickstarter, Kuiper Belt, lifelogging, mandelbrot fractal, Mark Zuckerberg, Marshall McLuhan, Menlo Park, Minecraft, Mitch Kapor, Mother of all demos, Murray Gell-Mann, Netflix Prize, Network effects, new economy, Norbert Wiener, Oculus Rift, pattern recognition, Paul Erdős, profit motive, Ray Kurzweil, recommendation engine, Richard Feynman, Richard Stallman, Ronald Reagan, self-driving car, Silicon Valley, Silicon Valley startup, Skype, Snapchat, stem cell, Stephen Hawking, Steve Jobs, Steven Levy, Stewart Brand, technoutopianism, Ted Nelson, telemarketer, telepresence, telepresence robot, Thorstein Veblen, Turing test, Vernor Vinge, Whole Earth Catalog, Whole Earth Review, WikiLeaks, wikimedia commons

* * * Thirty-first VR Definition: You are having interesting experiences but look preposterously nerdy and dorky to onlookers. * * * The desire to make VR equipment as close to invisible as possible has always seemed misguided to me. Consider Google’s foray into heads-up displays, Google Glass. The more designers tried to make Glass blend in—just a tiny little fashionable thing on the face—the more it stood out. Like a pimple. Jaron inside VR as viewed from outside VR. The question of what stands out in a design is always part of a negotiation about power. There’s a conceit in Google Glass and related devices; the wearers of such devices will eventually be given the stealthy superpower of omniscient X-ray vision. But to an unadorned person nearby, it can feel like a surveillance device, as if the human face had been redesigned into an Orwellian demon mask.

In the terms of information superiority, whoever is running the cloud computer that oversees the whole arrangement from afar is the master of both people. Even the wearer is worn. So the pursuit of the fantasy of a superhero’s magical psychic powers actually serves as a cover for submission. The tiny optics hanging by the eye make the whole face small. As always, I am in a conflicted position, since some of the folks who propelled the Glass project are old friends.2 I have also experimented with designs that resemble Google Glass, and if one of them had taken off, maybe I’d have found the rationalizations to love it. Only you, the reader, are in a position to judge my objectivity. At any rate, here is a principle that is good and true: Bluntness is good in the design of information devices. Power relationships are unavoidable, but are always more ethical when they are stated clearly. If a camera is looking at you, it should be visible.

FORTH Fortran Foster, Scott 4chan 4-D VR playthings FOV2GO France free information free software free speech free will French intelligence French investors Fresnel optics Freud, Sigmund Freud avatars frontier, end of Fuchs, Henry Fuller, Buckminster Furness, Tom, xviiin futurism Gabriel, Peter Gaga, Lady Gal, Ran gall bladder procedure game hackers gamelan Game of Life Gamergate game theory gaming culture Garcia, Annabelle Garcia, Jerry gatekeeping Gell-Mann, Murray general purpose simulators general relativity Generation X genetics genomics geodesic domes geometry Germany Gernsback, Hugo Ghana Gibson, William Gilliam, Terry Gilmore, John global virtual space glove-based manipulation goats Gödel, Escher, Bach (Hofstader) Goelz, Dave Goffman, Ken (R. U. Serius) Google Google Glass Googleplex Gore, Al Gorilla Foundation Gould, Glenn Grand Networking Females (GNFs) graphic design graphics graphics computers GRASP Grateful Dead gravity Gravity’s Rainbow (Pynchon) great man myth Great Recession Greenleaf, Walter Grimaud, Jean-Jacques Gurdjieff, George hackers HAL hand motions, xiv-xv happenings haptic intelligence haptics active mixed reality and passive recording and virtual limbs and Harvill, Young haunted house Hawking, Stephen HBO headhunters head motion and tracking headsets hearing Heilig, Mort Henson, Jim Hero with a Thousand Faces (Campbell) Hertzfeld, Andy Hinduism Hitler, Adolf HMD (Head Mounted Display).


pages: 313 words: 92,053

Places of the Heart: The Psychogeography of Everyday Life by Colin Ellard

augmented reality, Benoit Mandelbrot, Berlin Wall, Broken windows theory, Buckminster Fuller, carbon footprint, commoditize, crowdsourcing, Frank Gehry, Google Glasses, Guggenheim Bilbao, haute couture, Howard Rheingold, Internet of things, Jaron Lanier, mandelbrot fractal, Marshall McLuhan, Masdar, mass immigration, megastructure, more computing power than Apollo, Oculus Rift, Peter Eisenman, RFID, Richard Florida, risk tolerance, sentiment analysis, smart cities, starchitect, the built environment, theory of mind, urban decay, urban planning, urban sprawl, Victor Gruen

Though our other senses play a role in helping us to feel immersed in and to connect with place, it is gaze that most powerfully defines the boundaries of built space. What and whom we can see and how we understand our own visibility to others is the most important determinant of our behavior in the built environment. Because of this, a device like Google Glass is not simply a novel form of portable computer interface, but rather the beginning of a kind of technology that invades that most primal connection. In its current form, Google Glass is not much more than a kind of heads-up display that allows us to receive a steady stream of annotation about our surroundings with nothing more than an upward flick of the eyeballs. But this is really only a short step from a device that might present us with a more complete digital overlay in our field of view that keeps track of our movements and updates what we see accordingly.

This same physicality is also the key feature governing how we relate to everything in our environment, including not only built structures, but other human beings as well. What virtual reality technology has shown us is that the design of our minds, by jacking into our predispositions to take mental flight from one time and place to another, is such that the exact form of our embodiment can be shape-shifted. Whether by inverting goggles, immersive VR helmets, or the augmented reality of a device like Google glasses, our understanding of both the shapes of our bodies and where they begin and end are all open to modification. Although we are beginning to understand the science, we have not begun to consider the wider implications of these new discoveries for human existence. I find it hard to achieve the right balance of feelings about these developments, both those already realized and those that lie on the horizon.


pages: 285 words: 58,517

The Network Imperative: How to Survive and Grow in the Age of Digital Business Models by Barry Libert, Megan Beck

active measures, Airbnb, Amazon Web Services, asset allocation, autonomous vehicles, big data - Walmart - Pop Tarts, business intelligence, call centre, Clayton Christensen, cloud computing, commoditize, crowdsourcing, disintermediation, diversification, Douglas Engelbart, Douglas Engelbart, future of work, Google Glasses, Google X / Alphabet X, Infrastructure as a Service, intangible asset, Internet of things, invention of writing, inventory management, iterative process, Jeff Bezos, job satisfaction, Kevin Kelly, Kickstarter, late fees, Lyft, Mark Zuckerberg, Oculus Rift, pirate software, ride hailing / ride sharing, self-driving car, sharing economy, Silicon Valley, Silicon Valley startup, six sigma, software as a service, software patent, Steve Jobs, subscription business, TaskRabbit, Travis Kalanick, uber lyft, Wall-E, women in the workforce, Zipcar

Let’s look at Google, one of the most innovative companies of the past decade, and its secret lab, X, previously known as Google X. Google is well known for its capability with digital technology and for its ability to innovate, and it has developed a specific structure and process for nurturing its most innovative projects, the ones it calls “moonshots.” In 2010, Google created X to develop a self-driving car. Since then, new projects have been added, such as Google Glass, a wearable computer with an optical head-mounted display; and Project Loon, which aims to bring the internet to everyone via a network of high-altitude balloons. Although Google is a company of many talents, some of these moonshots fall well outside its standard competencies, just as network orchestration does for most organizations. Because Google has had to figure out how to best manage and operate these projects, it can provide a great perspective for other companies looking to innovate their business models.

., 184 Inventory step and, 152–153 Operating platforms and network step and, 175–176 overview of, 127–128 Pinpointing business model and mental model step and, 140–141 questions asked by, 128 Tracking step and, 183–184 Visualizing step and, 163–165 Ernst & Young, 85 Etsy, 10, 15, 81, 91 Everything Store, The: Jeff Bezos and the Age of Amazon (Stone), 119 Facebook, 6, 12, 15, 21, 22, 32, 33, 36, 42 Fenwick, Nigel, 5–6 Fidor, 130 financial services, 129–130 Forbes, 46, 47, 190 Ford Motor Company, 133 Forrester Research, 5–6, 24 Gallup, 90 General Electric (GE), 199–200 generally accepted accounting principles (GAAP), 97 General Mills Worldwide Innovation Network (G-WIN), 73 General Motors (GM), 113–114, 197 Gerstner, Lou, 47 GlossyBox, 76 goals for big data collection, 99–100 for boards, 109 for capital allocation, 53 Google, 3, 43, 91, 101, 110, 114, 118, 119, 148, 167–168, 183, 190 Google Glass, 167 Google Labs, 190 Google+, 33 Google Ventures, 101 Google X, 167, 168, 190 governance, 104, 107–109 Granular, 101 growth of networks, and law of increasing returns, 12, 17 guiding principles, of network leaders, 192–193 Guru, 87 Gutierrez, Carlos, 103 Hastings, Reed, 196–197 Hazelbaker, Jill, 168 Hertz, 4 Hicks, Angie, 197 Hollywood model of employment, 86, 87 Homeaway, 156 human capital business model based on, 15, 132 inventory of, 126, 145, 146, 147–148, 163 mental model values on, 138 network platforms and, 159 network team talent and, 171 IBM, 47–48, 50, 86, 88, 190 ideas.


pages: 380 words: 104,841

The Human Age: The World Shaped by Us by Diane Ackerman

23andMe, 3D printing, additive manufacturing, airport security, Albert Einstein, augmented reality, back-to-the-land, carbon footprint, clean water, dark matter, dematerialisation, double helix, Drosophila, epigenetics, Google Earth, Google Glasses, haute cuisine, Internet of things, Loebner Prize, Louis Pasteur, Masdar, mass immigration, megacity, microbiome, nuclear winter, personalized medicine, phenotype, Ray Kurzweil, refrigerator car, Search for Extraterrestrial Intelligence, SETI@home, skunkworks, Skype, stem cell, Stewart Brand, the High Line, theory of mind, urban planning, urban renewal, Whole Earth Catalog

We can don a headset that stimulates all five senses simultaneously, and walk along a street in ancient Rome or Egypt, so immersed in the look, smell, and feel of the place that it seems real. I’ve yet to meet anyone sporting Google Glass, the voice-controlled miniature screen in a flexible frame that hovers piratically above one eye, projecting e-mail and maps onto your visual field. But, whether or not it catches on as techno-fashion, it’s already a triumph in operating rooms around the world. The first surgeon who wore it simply videotaped an operation to share with colleagues. Since then, surgeons have been actively consulting Glass during operations to view X-rays or medical data without turning away to look. The cyborg doctor has eyes in the back of his head, and four or more hands. At the University of Alabama at Birmingham (UAB), Dr. Brent Ponce, wearing a Google Glass, began a shoulder replacement surgery while the built-in camera showed the surgical field to Dr.

., 299 geothermal warmth, 95 Germany, 72, 78, 83, 101, 124, 132, 298 solar panels in, 106–7 Gershenfeld, Neil, 202–3 gestures, 26–27 giraffes, 276 global consciousness, 18 global warming, 11, 38–42, 154, 307–8 agriculture and, 56 in Bangladesh, 51–53 and development of seas, 64–65 evidence of, 108 extreme weather and, 36–43, 314 fishermen and, 56–57 gardens affected by, 38–39 habitats rearranged by, 133–40 human rights and, 48 glowworms, 144 glucocorticoids, 283 golden eagles, 132 Golden Lion Tamarin Conservation Program, 123 golden toads, 162 Golding, William, 162 Google, 192, 210 Google Glass, 260–61 gophers, 115 gorgonian, 38 grains, 71 Grand Canyon, 126 granite, 58–59 GraphExeter, 184–85, 317 grasshoppers, 173–74 Grassy Key, 131 great apes, 202 great auks, 151 Great Depression, 108 Greece, 124 Green Apple concept car, 103 Green Belt Corridor, 124 greenhouses, 90 Greenland, 42 green mussels, 131 Green over Grey, 83 growing season, 42 Guam, 139, 157 Guam rail, 139 Guatemala, 88 Gulag Archipelago (Solzhenitsyn), 218 Gurdon, John, 150, 160 Gut Erlasee Solar Park, 106–7 Guthrie, Barton, 261 habitat loss, 154 Haiyan, Typhoon, 46 Hamilton, Clive, 314 Hansen, James, 314 Hansmeyer, Michael, 236 Harvard University, 235 Hastings, Battle of, 190 heart, 150, 239, 248, 249, 250–51, 281 heat, 41 heaters, 87 heat recycling, 95–108 Helm, Barbara, 114 Henri, Pascal, 84 herbs, 89 Hernandez, Isaias, 264–65 herons, 193–94 Heuchera plants, 80–81 High Line, 77 Hitler, Adolf, 273 hockey, 40 Holocene, 9 Homer, 262 Honda, 236 Hong Sun Hye, 102 horse chestnut trees, 153 Horse Island, 58 horses, 137–38, 140, 145–46 hostas, 125 Hudson River, 54–55 hulls, 91 human genome, 13 Human Genome Project, 270, 274, 282, 285, 289, 300 Human Microbiome Project, 289 human rights, global warming and, 48 humans: as eusocial, 288 geographic expansion of, 10 geography changed by, 11 history of, 71 orangutan genes shared by, 3 population growth of, 10 technological changes to bodies of, 13 tools used by, 7, 9 humans, environmental effects of: climate change, see global warming and possibility of nuclear winter, 8–9 hummingbirds, 126 hunter-gatherers, 71 Huntington’s disease, 271 Hurricane Irene, 57 Hurricane Katrina, 46 hurricanes, 31, 41, 43, 55 Hurricane Sandy, see Sandy, Hurricane hybrid cars, 100 Hyde Park, 142 hydroelectronic power, 100, 107 hydroponic gardening, 83, 89, 90 Icarus, 224 icebergs, 195–96, 197 Iceland, 77 ice packs, 41–42 iCub, 218–19 iGlasses, 261 igloos, 86 iguanas, 131 Ike Dike, 50 Iliad (Homer), 262 India, 88, 107, 132, 175 Indian mongoose, 132 Indonesia, 132, 313 induced pluripotent stem cells (IPS), 150–51, 160–63 industrial farming, 60 Industrial Revolution, 34, 106, 185–86, 232, 235, 267 Inheritors, The (Golding), 162 insects, 166 insulin pumps, 253 intelligence of plants, 205–7 International Union for Conservation of Nature, 313 Internet, 199–200, 235 Inuit, 86 invasive species, 132, 154 Iran, 147 Iraq War, 258 Ireland, 132 Irene, Hurricane, 57 irises, 125 iron fertilization, 53 Island of Dr.


pages: 396 words: 117,149

The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World by Pedro Domingos

Albert Einstein, Amazon Mechanical Turk, Arthur Eddington, basic income, Bayesian statistics, Benoit Mandelbrot, bioinformatics, Black Swan, Brownian motion, cellular automata, Claude Shannon: information theory, combinatorial explosion, computer vision, constrained optimization, correlation does not imply causation, creative destruction, crowdsourcing, Danny Hillis, data is the new oil, double helix, Douglas Hofstadter, Erik Brynjolfsson, experimental subject, Filter Bubble, future of work, global village, Google Glasses, Gödel, Escher, Bach, information retrieval, job automation, John Markoff, John Snow's cholera map, John von Neumann, Joseph Schumpeter, Kevin Kelly, lone genius, mandelbrot fractal, Mark Zuckerberg, Moneyball by Michael Lewis explains big data, Narrative Science, Nate Silver, natural language processing, Netflix Prize, Network effects, NP-complete, off grid, P = NP, PageRank, pattern recognition, phenotype, planetary scale, pre–internet, random walk, Ray Kurzweil, recommendation engine, Richard Feynman, scientific worldview, Second Machine Age, self-driving car, Silicon Valley, social intelligence, speech recognition, Stanford marshmallow experiment, statistical model, Stephen Hawking, Steven Levy, Steven Pinker, superintelligent machines, the scientific method, The Signal and the Noise by Nate Silver, theory of mind, Thomas Bayes, transaction costs, Turing machine, Turing test, Vernor Vinge, Watson beat the top human players on Jeopardy!, white flight, zero-sum game

It seems to be Latin, or perhaps math, but the Babel fish in your ear translates it into English: “Turn the crank! Turn the crank!” Just as you enter, the chant dissolves into an “Aaaah!” of satisfaction, and a murmur of “The posterior! The posterior!” You peek through the crowd. A massive stone tablet towers above the altar with a formula engraved on it in ten-foot letters: P(A|B) = P(A) P(B|A) / P(B) As you stare uncomprehendingly at it, your Google Glass helpfully flashes: “Bayes’ theorem.” Now the crowd starts to chant “More data! More data!” A stream of sacrificial victims is being inexorably pushed toward the altar. Suddenly, you realize that you’re in the middle of it—too late. As the crank looms over you, you scream, “No! I don’t want to be a data point! Let me gooooo!” You wake up in a cold sweat. Lying on your lap is a book entitled The Master Algorithm.

The digital mirror Take a moment to consider all the data about you that’s recorded on all the world’s computers: your e-mails, Office docs, texts, tweets, and Facebook and LinkedIn accounts; your web searches, clicks, downloads, and purchases; your credit, tax, phone, and health records; your Fitbit statistics; your driving as recorded by your car’s microprocessors; your wanderings as recorded by your cell phone; all the pictures of you ever taken; brief cameos on security cameras; your Google Glass snippets—and so on and so forth. If a future biographer had access to nothing but this “data exhaust” of yours, what picture of you would he form? Probably a quite accurate and detailed one in many ways, but also one where some essential things would be missing. Why did you, one beautiful day, decide to change careers? Could the biographer have predicted it ahead of time? What about that person you met one day and secretly never forgot?

Sometimes you want to give information to advertisers for free because it’s in your interests, sometimes you don’t want to give it at all, and what to share when is a problem that only a good model of you can solve. The kind of company I’m envisaging would do several things in return for a subscription fee. It would anonymize your online interactions, routing them through its servers and aggregating them with its other users’. It would store all the data from all your life in one place—down to your 24/7 Google Glass video stream, if you ever get one. It would learn a complete model of you and your world and continually update it. And it would use the model on your behalf, always doing exactly what you would, to the best of the model’s ability. The company’s basic commitment to you is that your data and your model will never be used against your interests. Such a guarantee can never be foolproof—you yourself are not guaranteed to never do anything against your interests, after all.


pages: 391 words: 71,600

Hit Refresh: The Quest to Rediscover Microsoft's Soul and Imagine a Better Future for Everyone by Satya Nadella, Greg Shaw, Jill Tracie Nichols

"Robert Solow", 3D printing, Amazon Web Services, anti-globalists, artificial general intelligence, augmented reality, autonomous vehicles, basic income, Bretton Woods, business process, cashless society, charter city, cloud computing, complexity theory, computer age, computer vision, corporate social responsibility, crowdsourcing, Deng Xiaoping, Donald Trump, Douglas Engelbart, Edward Snowden, Elon Musk, en.wikipedia.org, equal pay for equal work, everywhere but in the productivity statistics, fault tolerance, Gini coefficient, global supply chain, Google Glasses, Grace Hopper, industrial robot, Internet of things, Jeff Bezos, job automation, John Markoff, John von Neumann, knowledge worker, Mars Rover, Minecraft, Mother of all demos, NP-complete, Oculus Rift, pattern recognition, place-making, Richard Feynman, Robert Gordon, Ronald Reagan, Second Machine Age, self-driving car, side project, Silicon Valley, Skype, Snapchat, special economic zone, speech recognition, Stephen Hawking, Steve Ballmer, Steve Jobs, telepresence, telerobotics, The Rise and Fall of American Growth, Tim Cook: Apple, trade liberalization, two-sided market, universal basic income, Wall-E, Watson beat the top human players on Jeopardy!, young professional, zero-sum game

Will there one day be mixed reality natives—young people who expect all of their computer experiences to be immersive blends of the real and the virtual—just as today we recognize digital natives, those for whom the Internet has always been there? Companies are taking different approaches with head-mounted computers. Virtual reality, as provided by our Windows 10 MR devices or Facebook’s Oculus Rift, largely blocks out the real world, immersing the user in a completely digital world. Google Glass, for example, projects information onto your eyeglasses. Snapchat Spectacles let you augment what you see with relevant content and filters. HoloLens provides access to mixed reality in which the users can navigate both their current location—interact with people in the same room—and a remote environment while also manipulating holograms and other digital objects. Analysts at Gartner Inc., the technology research firm, have made an art from the study of the hype cycles and arcs followed by new technologies as they move from invention to widespread adoption (or demise), and believe virtual reality technologies are likely five to ten years away from mainstream adoption.

., 145 Gates, Bill, 4, 12, 21, 28, 64, 46, 67–69, 73–75, 87, 91, 127, 146, 183, 203 Gavasker, Sunil, 36 GE, 3, 126–27, 237 Gelernter, David, 143, 183 Geneva Convention, Fourth (1949), 171 Georgia Pacific, 29 Germany, 220, 223, 227–36 Gervais, Michael, 4–5 Gini, Corrado, 219 Gini coefficient, 219–21 GLEAM, 117 Gleason, Steve, 10–11 global competitiveness, 78–79, 100–102, 215 global information, policy and, 191 globalization, 222, 227, 235–37 global maxima, 221–22 goals, 90, 136 Goethe, J.W. von, 155 Go (game), 199 Goldman Sachs, 3 Google, 26, 45, 70–72, 76, 127, 160, 173–74, 200 partnership with, 125, 130–32 Google DeepMind, 199 Google Glass, 145 Gordon, Robert, 234 Gosling, James, 26 government, 138, 160 cybersecurity and, 171–79 economic growth and, 12, 223–24, 226–28 policy and, 189–92, 223–28 surveillance and, 173–76, 181 Grace Hopper, 111–14 graph coloring, 25 graphical user interfaces (GUI), 26–27 graphics-processing unit (GPU), 161 Great Convergence, the (Baldwin), 236 Great Recession (2008), 46, 212 Greece, 43 Green Card (film), 33 Guardians of Peace, 169 Gutenberg Bible, 152 Guthrie, Scott, 3, 58, 60, 82, 171 H1B visa, 32–33 habeas corpus, 188 Haber, Fritz, 165 Haber process, 165 hackathon, 103–5 hackers, 169–70, 177, 189, 193 Hacknado, 104 Halo, 156 Hamaker, Jon, 157 haptics, 148 Harvard Business Review, 118 Harvard College, 3 Harvey Mudd College, 112 Hawking, Stephen, 13 Hazelwood, Charles, 180 head-mounted computers, 144–45 healthcare, 41–42, 44, 142, 155–56, 159, 164, 198, 218, 223, 225, 237 Healthcare.gov website, 3, 81, 238 Heckerman, David, 158 Hewlett Packard, 63, 87, 127, 129 hierarchy, 101 Himalayas, 19 Hindus, 19 HIV/AIDS, 159, 164 Hobijn, Bart, 217 Hoffman, Reid, 232, 233 Hogan, Kathleen, 3, 80–82, 84 Holder, Eric, 173–74 Hollywood, 159 HoloLens, 69, 89, 125, 144–49, 236 home improvement, 149 Hong Kong, 229 Hood, Amy (CFO), 3, 5, 82, 90 Horvitz, Eric, 154, 208 hospitals, 42, 78, 145, 153, 223 Hosseini, Professor, 23 Huang, Xuedong, 151 human capital, 223, 226 humanistic approach, 204 human language recognition, 150–51, 154–55 human performance, augmented by technology, 142–43, 201 human rights, 186 Hussain, Mumtaz, 36, 37 hybrid computing, 89 Hyderabad, 19, 36–37, 92 Hyderabad Public School (HPS), 19–20, 22, 37–38, 136 hyper-scale, cloud-first services, 50 hypertext, 142 IBM, 1, 160, 174, 198 IBM Watson, 199–200 ideas, 16, 42 Illustrator, 136 image processing, 24 images, moving, 109 Imagine Cup competition, 149 Immelt, Jeff, 237 Immigration and Naturalization Act (1965), 24, 32–33 import taxes, 216 inclusiveness, 101–2, 108, 111, 113–17, 202, 206, 238 independent software vendor (ISV), 26 India, 6, 12, 17–22, 35–37, 170, 186–87, 222–23, 236 immigration from, 22–26, 32–33, 114–15 independence and, 16–17, 24 Indian Administrative Service (IAS), 16–17, 31 Indian Constitution, 187 Indian Institutes of Technology (IIT), 21, 24 Indian Premier League, 36 IndiaStack, 222–23 indigenous peoples, 78 Indonesia, 223, 225 industrial policy, 222 Industrial Revolution, 215 Fourth or future, 12, 239 information platforms, 206 information technology, 191 Infosys, 222 infrastructure, 88–89, 152–53, 213 innovation, 1–2, 40, 56, 58, 68, 76, 102, 111, 120, 123, 142, 212, 214, 220, 224, 234 innovator’s dilemma, 141–42 insurance industry, 60 Intel, 21, 45, 160, 161 intellectual property, 230 intelligence, 13, 88–89, 126, 150, 154–55, 160, 169, 173, 239 intelligence communities, 173 intensity of use, 217, 219, 221, 224–26 International Congress of the International Mathematical Union, 162 Internet, 28, 30, 48, 79, 97–98, 222 access and, 225–26, 240 security and privacy and, 172–73 Internet Explorer, 127 Internet of Things (IoT), 79, 134, 142, 228 Internet Tidal Wave, 203 Intersé, 3 Interview, The (film), 169–71 intimidation, 38 investment strategy, 90, 142 iOS devices, 59, 72, 123, 132 iPad, 70, 141 iPad Pro, 123–25 iPhone, 70, 72, 85, 121–22, 125, 177–79 Irish data center, 176, 184 Islamic State (ISIS), 177 Istanbul, 214 Jaisimha, M.L., 18, 36–37 Japan, 44, 223, 230 Japanese-American internment, 188 JAVA, 26 Jeopardy (TV show), 199 Jha, Rajesh, 82 jobs, 214, 231, 239–40.


pages: 504 words: 126,835

The Innovation Illusion: How So Little Is Created by So Many Working So Hard by Fredrik Erixon, Bjorn Weigel

"Robert Solow", Airbnb, Albert Einstein, American ideology, asset allocation, autonomous vehicles, barriers to entry, Basel III, Bernie Madoff, bitcoin, Black Swan, blockchain, BRICs, Burning Man, business cycle, Capital in the Twenty-First Century by Thomas Piketty, Cass Sunstein, Clayton Christensen, Colonization of Mars, commoditize, corporate governance, corporate social responsibility, creative destruction, crony capitalism, dark matter, David Graeber, David Ricardo: comparative advantage, discounted cash flows, distributed ledger, Donald Trump, Elon Musk, Erik Brynjolfsson, fear of failure, first square of the chessboard / second half of the chessboard, Francis Fukuyama: the end of history, George Gilder, global supply chain, global value chain, Google Glasses, Google X / Alphabet X, Gordon Gekko, high net worth, hiring and firing, Hyman Minsky, income inequality, income per capita, index fund, industrial robot, Internet of things, Jeff Bezos, job automation, job satisfaction, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, joint-stock company, Joseph Schumpeter, Just-in-time delivery, Kevin Kelly, knowledge economy, laissez-faire capitalism, Lyft, manufacturing employment, Mark Zuckerberg, market design, Martin Wolf, mass affluent, means of production, Mont Pelerin Society, Network effects, new economy, offshore financial centre, pensions crisis, Peter Thiel, Potemkin village, price mechanism, principal–agent problem, Productivity paradox, QWERTY keyboard, RAND corporation, Ray Kurzweil, rent-seeking, risk tolerance, risk/return, Robert Gordon, Ronald Coase, Ronald Reagan, savings glut, Second Machine Age, secular stagnation, Silicon Valley, Silicon Valley startup, Skype, sovereign wealth fund, Steve Ballmer, Steve Jobs, Steve Wozniak, technological singularity, telemarketer, The Chicago School, The Future of Employment, The Nature of the Firm, The Rise and Fall of American Growth, The Wealth of Nations by Adam Smith, too big to fail, total factor productivity, transaction costs, transportation-network company, tulip mania, Tyler Cowen: Great Stagnation, uber lyft, University of East Anglia, unpaid internship, Vanguard fund, Yogi Berra

The way companies and markets work, and the extent to which companies can muster their resources for an innovation, determine its success or failure. Entrepreneurs control their own performance, but they cannot control unpredictable markets; if they could, business failures would be a matter of choice. Innovation based only on its own technological or corporate merits does not have the power to break into markets. Markets are far too complex for that to happen. Take Google Glass as an example. The air over the San Francisco Bay Area vibrated with anticipation when news circulated that this product was due to be released. The optical head-mounted display was like the Ericsson Cordless Web Screen that had been invented 15 years earlier – “the next big thing.” And if you have tried a pair, you will know they are pretty cool. Google went much further than Ericsson ever did when it started to sell the glasses in May 2014.

Yet Google still failed and production was halted less than a year after release for the simple reason that sales were not good enough. In the aftermath of this public mishap, Astro Teller – the head of what was then called the Google X research lab – explained that the company had failed by “not making clear to everyone else that what was out was really just a prototype of the smart glassware, and too much bad publicity was really what killed Google Glass.”13 Failure happens – every day – and premature scaling is a common recipe for disaster. But this was Google, a company with near limitless resources for planning and preparation. It is media savvy and its market reach is second to none, leaving many to question how the company could have allowed such a publicized failure. It was not the first time a Google project went sour for reasons that appeared predictable.

Johnston) (i) globalist worldview (i), (ii) globalization attitudes to globalization survey (IMD Business School) (i) and bureaucracy (i), (ii), (iii), (iv) and business investment (i) and capitalism, decline of (i), (ii) and competition (i) and creative destruction (i) and diffusion (i), (ii) and entrepreneurship (i), (ii) and financial institutions (i) horizontal (i), (ii), (iii), (iv), (v) and innovation (i), (ii), (iii), (iv) and managerialism (i), (ii), (iii), (iv) and mergers and acquisitions (i) and planning (i) and productivity (i), (ii), (iii) and regulation (i) and specialization (i), (ii), (iii), (iv), (v), (vi), (vii) and Swedish economy (i) vertical (i), (ii), (iii), (iv), (v), (vi), (vii) see also corporate globalism; globalization (overview); multinational (global) companies globalization (overview) 1st face/phase (1945–1980s) (i), (ii), (iii) 2nd face/phase (1980s–) (i), (ii), (iii), (iv), (v), (vi), (vii) changing nature of (i) characteristics of multinationals (i), (ii) globalist worldview (i), (ii) “globalize or die” (i) impact on France (i) impact on Germany (i), (ii), (iii), (iv) impact on US and UK (i), (ii), (iii) markets and firm boundaries (i) scale to scope (i) specialization and sunk costs (i), (ii) unbundling of production: first unbundling (i); second unbundling (i), (ii), (iii), (iv) see also corporate globalism; globalization; multinational (global) companies GM (genetically modified) potato, and EU regulation (i) GMOs (genetically modified organisms), and EU regulation (i), (ii), (iii) “Goldilocks and the Three Bears” (story) (i), (ii) Goldilocks principle (i), (ii) Goldman Sachs (i), (ii) Golec, Joseph (i)n28 Google dual share structures (i) and European regulation (i) and globalization (i) Google Glass (i), (ii) and Motorola (i) Project Loon (i), (ii) Gordon, Robert (i), (ii) Gore-Coty, Pierre-Dimitri (i) Gou, Terry (i) governments see political world; politics Graetz, George (i) Grasso, Richard (i) gray capitalism capitalist ownership: case of Harley-Davidson Motor Company (HD) (i); decline/obituary of capitalist ownership (i); dispersed ownership (i); gray ownership (i), (ii), (iii), (iv), (v), (vi); severing gray capital–corporate ownership link (i) “complex by design” and principal–agent problem (i) crowding out of innovations (i) financial capitalism: financialization of real economy (i); intermediaries and asset managers (i), (ii), (iii), (iv), (v), (vi) pensions and retirement savings (i), (ii), (iii), (iv), (v), (vi), (vii) rentier capitalism (i), (ii), (iii), (iv) resource allocation according to rentier formula (i) rich people vs. capitalists (i), (ii) sovereign wealth funds (i), (ii) Graylin, Will Wang (i) Great Recession and aspirations (i) and asset management industry (i) and cash hoarding (corporate savings) (i) and continuing economic decline (i) and firm entry-and-exit rates (i) and global trade (i) and globalist worldview (i) and high-growth firms (i) and investment funds (i) and New Machine Age hype (i) and policy uncertainty (i) and rich people vs. capitalists (i) and stockholding periods (i) and unemployment (i) and US productivity (i) see also financial crisis (2007) Greece, left-wing populism (i) green building codes (US) (i) green/renewable energy and regulation in Europe (i), (ii) and sunk costs (i) Greenspan, Alan (i), (ii), (iii) Greenspan Puts (i) Grey (alias of Ursley Kempe) (i), (ii) gross domestic product see GDP (gross domestic product) Group of Seven (G7) countries, labor productivity (i), (ii) growth see economic growth; GDP (gross domestic product) guilds (i), (ii) see also occupational licenses Gulf states, and sovereign wealth funds (i) Gulfo, Joseph (i) Gyllenhammar, Pehr G.


pages: 267 words: 72,552

Reinventing Capitalism in the Age of Big Data by Viktor Mayer-Schönberger, Thomas Ramge

accounting loophole / creative accounting, Air France Flight 447, Airbnb, Alvin Roth, Atul Gawande, augmented reality, banking crisis, basic income, Bayesian statistics, bitcoin, blockchain, Capital in the Twenty-First Century by Thomas Piketty, carbon footprint, Cass Sunstein, centralized clearinghouse, Checklist Manifesto, cloud computing, cognitive bias, conceptual framework, creative destruction, Daniel Kahneman / Amos Tversky, disruptive innovation, Donald Trump, double entry bookkeeping, Elon Musk, en.wikipedia.org, Erik Brynjolfsson, Ford paid five dollars a day, Frederick Winslow Taylor, fundamental attribution error, George Akerlof, gig economy, Google Glasses, information asymmetry, interchangeable parts, invention of the telegraph, inventory management, invisible hand, James Watt: steam engine, Jeff Bezos, job automation, job satisfaction, joint-stock company, Joseph Schumpeter, Kickstarter, knowledge worker, labor-force participation, land reform, lone genius, low cost airline, low cost carrier, Marc Andreessen, market bubble, market design, market fundamentalism, means of production, meta analysis, meta-analysis, Moneyball by Michael Lewis explains big data, multi-sided market, natural language processing, Network effects, Norbert Wiener, offshore financial centre, Parag Khanna, payday loans, peer-to-peer lending, Peter Thiel, Ponzi scheme, prediction markets, price anchoring, price mechanism, purchasing power parity, random walk, recommendation engine, Richard Thaler, ride hailing / ride sharing, Sam Altman, Second Machine Age, self-driving car, Silicon Valley, Silicon Valley startup, six sigma, smart grid, smart meter, Snapchat, statistical model, Steve Jobs, technoutopianism, The Future of Employment, The Market for Lemons, The Nature of the Firm, transaction costs, universal basic income, William Langewiesche, Y Combinator

Many advanced digital market platforms already offer an impressive flood of multidimensional information, while physical markets, including brick-and-mortar stores, are still pondering ways to adapt the technology for their needs. Retailers, for example, have their hopes pinned on what’s called augmented reality, which enriches what we can see on the sales floor by providing additional information about the available goods. It’s like a much-improved version of Google Glass and will highlight perhaps the three products in a shop that best fit your preferences, and you will learn about them by looking around. For our purposes, it’s not as important to predict exactly which technical solution will offer us the richest information and in what form as it is to realize that the solution won’t depend on the established infrastructure of money and price that banks and other financial institutions have built.

See Great Recession/financial crisis financial intermediaries, 12, 146–156 choice expansion in, 215–216 payment solutions and, 146–147 regulations affecting, 139–140 traditional role of, 138–139 See also banks Finkel, Eli, 83, 84 Finland, 147, 191 fintechs, 11 banks investing in, 149–156 niche markets targeted by, 147, 152 worldwide investments in, 149 firms, 87–107, 109–131 Amazon as, 88–89, 106 automation in, 109, 111–112, 113–120, 128, 130–131 centralization in (see centralization) cognitive constraints and, 102–104 communicative coordination and, 26, 28–33, 90, 102 comparison of markets and, 28, 111 competition between markets and, 30, 107 decline in influence of, 12–13, 33 delegation in, 97–101, 106, 117 efficiency as focus of, 112–113 estimated number of, 28 human-centric, 214–215 internal talent management in, 126–129 intuition and heuristics in, 104–106 key difference between markets and, 32–33, 90 “noise” reduction strategies in, 100–101 organizational innovation in, 97, 110–111, 120–131 profits of, 195–197 reporting methods in, 90–97 rise in importance of, 33 shift to markets from, 10–11, 30–32, 125–126 structure of, 29–30 superstar, 195–197 tax credits for job creation proposed, 200–202 Flores, Fernando, 175–176 flying shuttle, 111 Forbes, 209 Ford, Henry, 29–30, 114 Ford Motor Company, 29–30, 31, 33, 98, 99–100 Fortune magazine, 208 Fox News, 178 Freightliner, 182 Friedman, Milton, 190 Fukoku Mutual Life Insurance, 109, 110–111, 113–114, 117, 120, 183, 188 fully automated luxury communism, 221 fundamental attribution error, 103 Funding Circle, 152, 163 Gates, Bill, 187 Gawande, Atul, 101 General Motors (GM), 98–99, 101 Germany, 134, 135, 136 gig economy, 186 Gigerenzer, Gerd, 105 Giza pyramids, 21 Glassdoor, 88 GoDaddy, 161 gold standard, 48 “Goobles,” 51 Google, 78, 110, 148, 151, 161, 196 antitrust case against, 165 feedback effects and, 30, 163, 169 prediction markets and, 50–51 Google Glass, 138 Google Shopping, 52 government, central planning for, 175–179 grain (as currency), 47 Great Depression, 51, 136 Great Famine (Soviet Union), 177 Great Recession/financial crisis, 134–135, 136, 215 See also subprime mortgage crisis Great Wall of China, 21, 24 Grünenthal, 42 Guardian, 221 Hagel, John, 31 Harvard Business Review, 99 Harvard Business School, 96 Harvard Medical School, 101 Harvard University, 45 Hayek, Friedrich August von, 39, 46–47 health care sector, 213–214 heuristics, 104–106 Higgs boson, 22 Hollerith, Herman, 96, 99 Holvi, 147 Honda, 30, 32 Huawei, 196 human choice.


pages: 294 words: 81,292

Our Final Invention: Artificial Intelligence and the End of the Human Era by James Barrat

AI winter, AltaVista, Amazon Web Services, artificial general intelligence, Asilomar, Automated Insights, Bayesian statistics, Bernie Madoff, Bill Joy: nanobots, brain emulation, cellular automata, Chuck Templeton: OpenTable:, cloud computing, cognitive bias, commoditize, computer vision, cuban missile crisis, Daniel Kahneman / Amos Tversky, Danny Hillis, data acquisition, don't be evil, drone strike, Extropian, finite state, Flash crash, friendly AI, friendly fire, Google Glasses, Google X / Alphabet X, Isaac Newton, Jaron Lanier, John Markoff, John von Neumann, Kevin Kelly, Law of Accelerating Returns, life extension, Loebner Prize, lone genius, mutually assured destruction, natural language processing, Nicholas Carr, optical character recognition, PageRank, pattern recognition, Peter Thiel, prisoner's dilemma, Ray Kurzweil, Rodney Brooks, Search for Extraterrestrial Intelligence, self-driving car, semantic web, Silicon Valley, Singularitarianism, Skype, smart grid, speech recognition, statistical model, stealth mode startup, stem cell, Stephen Hawking, Steve Jobs, Steve Wozniak, strong AI, Stuxnet, superintelligent machines, technological singularity, The Coming Technological Singularity, Thomas Bayes, traveling salesman, Turing machine, Turing test, Vernor Vinge, Watson beat the top human players on Jeopardy!, zero day

Also onboard at the stealth facility is Andrew Ng, former director of Stanford University’s Artificial Intelligence Lab, and a world-class roboticist. Finally, late in 2012, Google hired esteemed inventor and author Ray Kurzweil to be its director of engineering. As we’ll discuss in chapter 9, Kurzweil has a long track record of achievements in AI, and has promoted brain research as the most direct route to achieving AGI. It doesn’t take Google glasses to see that if Google employs at least two of the world’s preeminent AI scientists, and Ray Kurzweil, AGI likely ranks high among its moon-shot pursuits. Seeking a competitive advantage in the marketplace, Google X and other stealth companies may come up with AGI away from public view. * * * Stealth companies may represent a surprise track to AGI. But according to Vassar the quickest path to AGI will be very public, and cost serious money.

People always make the assumption: Memepunks, “Google A.I. a Twinkle in Larry Page’s Eye,” May 26, 2006, http://memepunks.blogspot.com/2006/05/google-ai-twinkle-in-larry-pages-eye.html (accessed May 3, 2011). Even the Google camera cars: Streitfeld, David, “Google Is Faulted for Impeding U.S. Inquiry on Data Collection,” New York Times, sec. technology, April 14, 2012, http://www.nytimes.com/2012/04/15/technology/google-is-fined-for-impeding-us-inquiry-on-data-collection.html (accessed May 3, 2012). It doesn’t take Google glasses: In December 2012, Ray Kurzweil joined Google as Director of Engineering to work on projects involving machine learning and language processing. In the development of AGI, this is a landmark event, and a sobering one. Kurzweil aims to reverse engineer a brain, and has even written a book about it, 2012’s How to Create a Mind: The Secret of Human Thought Revealed. Now he has Google’s vast resources to spend making this dream come true.


pages: 287 words: 82,576

The Complacent Class: The Self-Defeating Quest for the American Dream by Tyler Cowen

affirmative action, Affordable Care Act / Obamacare, Airbnb, Alvin Roth, assortative mating, Bernie Sanders, Black Swan, business climate, business cycle, circulation of elites, clean water, David Graeber, declining real wages, deindustrialization, desegregation, Donald Trump, drone strike, East Village, Elon Musk, Ferguson, Missouri, Francis Fukuyama: the end of history, gig economy, Google Glasses, Hyman Minsky, Hyperloop, income inequality, intangible asset, Internet of things, inventory management, knowledge worker, labor-force participation, low skilled workers, Marc Andreessen, Mark Zuckerberg, medical residency, meta analysis, meta-analysis, obamacare, offshore financial centre, Paul Samuelson, Peter Thiel, purchasing power parity, Richard Florida, security theater, sharing economy, Silicon Valley, Silicon Valley ideology, Skype, South China Sea, Steven Pinker, Stuxnet, The Great Moderation, The Rise and Fall of American Growth, total factor productivity, Tyler Cowen: Great Stagnation, upwardly mobile, Vilfredo Pareto, working-age population, World Values Survey

In chapter 4, I discussed how more and more of the top talent is being clustered in the largest and most successful firms. America’s productivity problem is coming from small and medium-size enterprises, not the market leaders. Probably not all of Google’s ideas will work out, but still, the company isn’t just search. Gmail is pretty useful, YouTube is running and has been significantly upgraded, driverless cars and trucks seem to be on the horizon, and someday a version of Google Glass may even change our lives, even if Google Glass as we know it remains stillborn. What is happening is that technology has made it easier for better corporations to identify those workers with stronger skills, more demanding work ethics, and higher intelligence, and vice versa. The more successful firms, having more to offer in terms of salary and prestige, are able to attract such workers, now that they can find them.


pages: 302 words: 90,215

Experience on Demand: What Virtual Reality Is, How It Works, and What It Can Do by Jeremy Bailenson

Apple II, augmented reality, computer vision, deliberate practice, experimental subject, game design, Google Glasses, income inequality, Intergovernmental Panel on Climate Change (IPCC), iterative process, Jaron Lanier, low earth orbit, Mark Zuckerberg, Marshall McLuhan, meta analysis, meta-analysis, Milgram experiment, nuclear winter, Oculus Rift, randomized controlled trial, Silicon Valley, Skype, Snapchat, Steve Jobs, Steve Wozniak, Steven Pinker, telepresence, too big to fail

These are just a few of the hurdles VR designers are struggling with as they bring their devices to market. But considering the huge technical improvements that have been made in just the past few years, these challenges are surmountable. Then there’s the question of actually wearing the equipment. “Who is going to put on goggles?” some ask, pointing to the consumer failure of Google’s much hyped augmented reality eyewear, Google Glass. Glass, of course, turned off a lot of people because it had the unnerving ability to seamlessly record video and audio. It was also considered antisocial, allowing people to seemingly interact with the real world while checking their e-mail. VR does not aspire to be integrated into one’s day-to-day existence. For the near future at least, VR headsets will sit next to one’s computer or gaming system, to be put on to experience a discrete piece of VR content or to socialize with others in a virtual setting.

See also attention Food and Drug Administration (FDA), 173 football, use of VR in, 14–18, 30–37, 39 fossil fuels, 176–77 Foster Farms bowl, 14–15 frame rate, 68–69 framing, 223 free speech, 64–65 full body avatars, 168 “full-fledged empathy,” 80 Full Spectrum Warrior, 147 functional magnetic resonance imaging (fMRI), 53–55, 60–61, 94–95, 159, 248 Furness, Tom, 168, 226 Galinsky, Adam, 82–83, 84–85 gameplay, narrative and, 224–26 gaming, 8–9, 61–62. See also VR games; specific games modified to work with VR, 62–63 videogame designers, 61–62 videogame industry, 224 violence and, 61–65 virtual worlds, 134–35 VR games, 61–62, 158 Garen, Ron, 109–10 Gates, Bill, 247–48 Gear, 8, 9, 77 gesture, 181–84, 191–92, 193–96 Gibson, William, 187, 249 Neuromancer, 66, 174 Goodell, Roger, 100–101 Google, 8 Google Glass, failure of, 10 Google Trends, 247 Go Pro cameras, 31 Gordon and Betty Moore Foundation, 130 Goya, Francisco, Disasters of War series, 79 Grandin, Temple, 103 Grand Theft Auto series, 62–63 “The Great Pacific Garbage Patch,” 134 greenhouse gases, 126–29 Greenleaf, Walter, 146 Griffith, D. W., Birth of a Nation, 216 Groom, Victoria, 88–89 The Guardian, 204, 212 Hadfield, Chris, 109–10 haptic devices, 190–91 harassment, 202 Harborview Burn Center, 155 Harding, James, 204 head mounted displays (HMDs), 1–5, 9–10, 19, 34 360 video and, 31 consumer, 29 cost of, 28 costs of manufacturing, 7–8 Oculus Rift, 7–8 strangeness of, 10 uncomfortableness of, 250 health insurance companies, 173 High Fidelity, 186–88, 195–96 hippocampus, 54, 55, 56, 57 HITLab, University of Washington, 168 HIVE (Huge Immersive Virtual Environment), 255 hockey, 38–39 Hoffman, Hunter, 139–40, 154–60, 172, 248 Hogan, Kevin, 14–15, 17, 32, 33 Hollywood, 213, 215–16, 224 homelessness, 98 Homuncular Flexibility, 164, 165, 168, 169 “homunculus,” 164 HTC Vive, 9, 11, 29, 63, 68 human hamster ball, 255 human interaction, social VR and, 180–84 Hurricane Katrina, 203–4 Hutcherson, Eric, 100–101 hydrothermal vents, 124–25, 128–29 hypnosis therapy, 154–55 IJsselsteijn, Wijnand, 190–93 illusion of movement, 161 “illusion of non-mediation,” 21 illusion of presence, 45–46, 154 imagination, 224 empathic, 231 vs.


pages: 315 words: 89,861

The Simulation Hypothesis by Rizwan Virk

3D printing, Albert Einstein, Apple II, artificial general intelligence, augmented reality, Benoit Mandelbrot, bioinformatics, butterfly effect, discovery of DNA, Dmitri Mendeleev, Elon Musk, en.wikipedia.org, Ernest Rutherford, game design, Google Glasses, Isaac Newton, John von Neumann, Kickstarter, mandelbrot fractal, Marc Andreessen, Minecraft, natural language processing, Pierre-Simon Laplace, Ralph Waldo Emerson, Ray Kurzweil, Richard Feynman, Schrödinger's Cat, Search for Extraterrestrial Intelligence, Silicon Valley, Stephen Hawking, Steve Jobs, Steve Wozniak, technological singularity, Turing test, Vernor Vinge, Zeno's paradox

However, rather than being fully immersed in the virtual world and losing a sense of your surrounding environment entirely, AR glasses actually show you what’s physically around you. The defining quality of AR is that it virtually “adds” things to the environment—or at least it seems that way to the person wearing the glasses. You might be in a room with a physical table but no chairs. AR glasses can put chairs around the table or put spiders or snakes on the table. Among the earliest AR headsets were Google Glass and Microsoft Hololens. They are being joined by the likes of Magic Leap (which uses a unique light-field technology), with many more on the way. Augmented reality represents a different technology than virtual reality, but the underlying toolsets are very similar. They both use 3D models, textures, and real-time rendering technology built originally for video games. This is the same technology (called CGI, or computer-generated imagery) which is used in both 3D MMORPGs and in films to create special effects.

The ExtraTerrestrial, 38 Everett, Hugh, 149 EverQuest, 44 expanded world, hints of, 37 expanding symmetry, 263 Exposition du système du monde (Laplace), 125 F Facebook, 59–60, 97–98 false memories, 79–80 . see also implanted memories Far Journeys (Monroe), 242 Faraday, Michael, 125–26 Fermi, Enrico, 235–37 Fermi paradox, 235–37 Feynman, Richard, 258 field of view, 137 films, special effects, 64–66 Final Fantasy: The Spirits Within, 65 Final Fantasy video games, 42, 65 Flamm, Ludwig, 178 Flight Simulator, 137 forceful projection, 197–99 Fractal Foundation, 264–65 fractal patterns, 264f fractal processes, 18–19 fractally generated landscape, 48f fractals, 263–66 Freud, Sigmund, 189 Fringe and parallel worlds, 152–53 FTL (faster than light) technology, 233 full immersion, 53 Fundamental Process, 156–57 future selves and parallel lives, 150–52 future vs. the past, measurement, 146–47 futures, multiple possible, 147–48, 148f G game control methods, 53–54 . see also interface technologies game loop, 27, 31, 73, 213 game state, 29 game state, player, graphical representation, 40–41 game theory, 153–55 game world, limited level-based, 36 Gates, James, 256–57 Geller, Uri, 243 General Theory of Relativity, 171 Geons, Black Holes and Quantum Foam (Wheeler), 168 Giddings, Steven B., 174 Go, 104 God/Allah/Jehovah, and creation of physical world, 219–221 God/Allah/Jehovah, and the afterlife Al-Akhirah and the Day of Qiyamah, 220–21 Christianity and Judaism, 223–25 Gods and Heaven, 277–78 Goertzel, Ben, 91 Good, Irving John, 100 Google Assistant, 88 Google Duplex, 90 Google Glass, 62 Google Home, 90 Goswami, Amit, 130, 133 GPUs (graphics processing units), 16, 137 GPUs/CPUs, 157, 173 grandfather paradox, 149 graphical arcade and console games, early, 32–38 graphical non-player characters (NPCs), 41–42 graphical representation of player game state, 40–41 graphically rendered world, big, 40 graphics processing units (GPUs), 16, 137 gravitational constant, 168 gravity waves, 168 Great Game, 150–52 Great Simulation, 19–20, 26, 53–54, 173–74, 214, 268 Great Simulation, conscious beings or unconscious simulations dreamlike nature of reality, 284–85 Godlike AI, angels and afterlife, 286 souls, reincarnation, karma and quests, 285–86 Great Simulation, implications of bridging the great divide, 289–290 computation underlies other sciences, 286–89 Plato’s allegory of the cave, 270–71 Great Simulation, main elements of downloadable consciousness, 281 high-resolution pixelated world, 278–79 MMORPGs (massively multiplayer online roleplaying games), 279 physics engine based on classical and quantum physics, 283–84 player characters (PCs), non-player characters and AI, 280–81 quantized, pixelated reality, 281–82 rendering engine based on quantum indeterminacy, 282–83 seemingly infinite algorithmically generated world, 280 Great Simulation, sources of aliens, 275–76 Gods and Heaven, 277–78 humans/ancestors, 273–74 nonhuman earth-based lifeforms, 275 other simulations, 270–73 super-intelligent machines, 276–77 time travelers from the future, 274–75 Green Simulation, 266 Greisen–Zatsepin–Kuzmin (GZK) limit, 255–56 Grimm, 4 GZK (Greisen-Zatsepin-Kuzmin) limit, 255–56 H Habitat, 44, 209 HAL 9000, 2001: A Space Odyssey, 96, 115 Hall effect, 251 Hanson Robotics, 91 haptic gloves, 61 haptic suits, 56 haram, 225–26 Harlow, Daniel, 260 Hawking, Stephen, 10, 79, 150, 157, 275 Healing Mantras (Ashely-Farrand), 206 Heisenberg, Werner, 125, 130–32, 167, 245, 290 Hello Games, 46–47 Herbert, Brian, 97 Herbert, Frank, 97 Hertz, Heinrich, 167 heuristic systems, 89 high-resolution pixelated world, Great Simulation, 278–79 Hinduism, 14 hints of expanded world, 37 The Hitchhikers Guide to the Galaxy (Adams), 29, 275 holodeck, 6–7, 68 Howe, Elias, 190 HTC Vive HR headset, 55, 60 humans/ancestors, 273–74 Hynek, J.


pages: 285 words: 86,853

What Algorithms Want: Imagination in the Age of Computing by Ed Finn

Airbnb, Albert Einstein, algorithmic trading, Amazon Mechanical Turk, Amazon Web Services, bitcoin, blockchain, Chuck Templeton: OpenTable:, Claude Shannon: information theory, commoditize, Credit Default Swap, crowdsourcing, cryptocurrency, disruptive innovation, Donald Knuth, Douglas Engelbart, Douglas Engelbart, Elon Musk, factory automation, fiat currency, Filter Bubble, Flash crash, game design, Google Glasses, Google X / Alphabet X, High speed trading, hiring and firing, invisible hand, Isaac Newton, iterative process, Jaron Lanier, Jeff Bezos, job automation, John Conway, John Markoff, Just-in-time delivery, Kickstarter, late fees, lifelogging, Loebner Prize, Lyft, Mother of all demos, Nate Silver, natural language processing, Netflix Prize, new economy, Nicholas Carr, Norbert Wiener, PageRank, peer-to-peer, Peter Thiel, Ray Kurzweil, recommendation engine, Republic of Letters, ride hailing / ride sharing, Satoshi Nakamoto, self-driving car, sharing economy, Silicon Valley, Silicon Valley ideology, Silicon Valley startup, social graph, software studies, speech recognition, statistical model, Steve Jobs, Steven Levy, Stewart Brand, supply-chain management, TaskRabbit, technological singularity, technoutopianism, The Coming Technological Singularity, the scientific method, The Signal and the Noise by Nate Silver, The Structural Transformation of the Public Sphere, The Wealth of Nations by Adam Smith, transaction costs, traveling salesman, Turing machine, Turing test, Uber and Lyft, Uber for X, uber lyft, urban planning, Vannevar Bush, Vernor Vinge, wage slave

As Siva Vaidhyanathan wrote of Google in 2011: “there has never been a company with explicit ambitions to connect individual minds with information on a global—in fact universal—scale.”24 Google’s immensity and deep imbrication in the core structures of algorithmic culture have also fueled global ambitions. The company’s X Lab dedicates itself entirely to considering “moonshot” ideas that offer radical solutions or exponential improvements to current challenges, and they are the intellectual force behind high-risk ventures such as Google Glass, the self-driving car, and Project Loon, an effort to deliver Internet service to remote areas via high-altitude balloons. Astro Teller, the lab’s captain of moonshots, has encouraged a culture of rapid prototyping and early failure points to try out new ideas.25 Since the company acquired the artificial intelligence research group DeepMind in 2014, Google has also made a string of breathtaking announcements about advances in machine learning.

., 113 Foxconn, 133–134 Fox News, 170 Fredkin, Edward, 23 From Counterculture to Cyberculture (Turner), 46 Future of Life Institute, 191 Galloway, Alexander, 46, 50, 54, 121–123, 143, 144 Game of life, 29–30 Gamification, 12, 133 addiction and, 114–119, 121–122 blurred reality and, 120–121 chess and, 135–138 cultural transactions and, 119 culture machines and, 115–116 Deep Blue and, 135–138 enframing and, 118–119 exploitationware and, 115–116 Facebook and, 114–115 FarmVille and, 114–115 informatic control and, 122–123 interface economy and, 123–131, 139–140, 145, 147 Gaming: Essays on Algorithmic Culture (Galloway), 121 Gates, Bill, 174 Gawker Media, 170–175, 210n35 Gender, 60–61, 80, 82, 210n43 Geocities, 209n20 Ghost in the machine, 55, 95, 183 Gillespie, Tarleton, 20, 46 Gilliam, Terry, 142 Glass Cage, The (Carr), 38 Gmail, 65–66 Gödel, Kurt, 24, 40 Gods, 1, 3–5, 7, 51, 57, 71, 83, 96, 113, 192 Golden Ratio, 2 Golumbia, David, 18, 21, 38, 45–46 Google advertisements and, 66, 74, 156, 158–160, 178 algorithmic arbitrage and, 111, 124, 155–156 algorithmic worldview of, 20 Alphabet and, 66, 155 anticipation and, 73–74 as arbiter of digital culture, 66 augmenting imagination and, 186 autocomplete databases and, 186 black box of, 169 Brin and, 57, 155–156 business model of, 20–21, 71–72, 93–94, 96, 155, 159 cloud warehouse of, 131 company value of, 158 cultural architecture of, 42 DeepMind and, 28, 66, 181–182 disruptive technologies and, 124 earnings of, 158 effective computability and, 42 global computation infrastructure of, 131 Gmail and, 65–66 gutter problem and, 110 impact of, 65–66, 87, 195 interfaces and, 66–67, 124 intimacy and, 75–76 KnowledgeGraph and, 71–73, 75, 94 Kurzweil and, 184 machine learning and, 66, 181–186, 191 Maps and, 59 market issues and, 66 massive infrastructure of, 131 Memex and, 188 neural networks and, 185 OK Google and, 51 ontology and, 159–160 Page and, 155–156 PageRank and, 20, 111, 155–159, 169, 177–178, 189 parsing data and, 182 pragmatist approach and, 18, 20 product improvement and, 42 programmable culture and, 169 Project Loon and, 66 Schmidt and, 66, 73, 127 search and, 26, 42, 48, 69, 75–76, 87, 157–159, 169 sharing economy and, 127 simplification ethos and, 97 Star Trek computer and, 11, 65–82, 159, 186, 191 system behavior and, 16 techno-utopian rhetoric and, 16 X Lab and, 66 YouTube and, 65–66 Google Glass, 66 Googleization of Everything, 68 Google Now, 51, 73–74, 76, 82, 160 Gou, Terry, 133 Grammar, 2, 16, 25, 38–41, 62–64, 110–112, 138, 178–179 Grand Theft Auto (game), 122, 124 Grinding, 120, 140 Guardian (newspaper), 170 Guattari, Félix, 76 Guilds, 121 Gutter problem, 110 Habermas, Jürgen, 105–107, 109–110, 114, 172–173, 175–176 Hackers, 1–5, 38, 46, 50–51 Hackers (film), 3 HAL computer, 181 Half-Life of Facts, The (Arbesman), 188–189 Halting states, 41–46 Hardt, Michael, 145 Hastings, Reed, 97–98 Hayles, N.


pages: 336 words: 93,672

The Future of the Brain: Essays by the World's Leading Neuroscientists by Gary Marcus, Jeremy Freeman

23andMe, Albert Einstein, bioinformatics, bitcoin, brain emulation, cloud computing, complexity theory, computer age, computer vision, conceptual framework, correlation does not imply causation, crowdsourcing, dark matter, data acquisition, Drosophila, epigenetics, global pandemic, Google Glasses, iterative process, linked data, mouse model, optical character recognition, pattern recognition, personalized medicine, phenotype, race to the bottom, Richard Feynman, Ronald Reagan, semantic web, speech recognition, stem cell, Steven Pinker, supply-chain management, Turing machine, twin studies, web application

This simple observation—that DNA can store any string, not just those used as biological blueprints in the genomes of existing organisms—has startling implications for many areas of science and technology because it provides us with a strategy to extend information technology to the molecular level and to integrate it with biological systems. Meanwhile, sequencing technologies developed in academia and industry have put DNA sequencing on a cost-performance trajectory that outpaces Moore’s law, which governs the improvements in silicon microprocessor technology that have brought us from arm-sized cellular phones to Google Glass in only two decades. Many of the same concepts have been adapted to DNA synthesis, which is now on a similar trajectory. This has resulted in the ability to read and write information into DNA with unprecedented ease, as demonstrated recently by the 2012 DNA encoding and subsequent reading of the text of a complete book (Regenesis, Basic Books). Suppose we have a string of DNA twenty-five letters (deoxyribonucleotides) in length.

., 137, 149–57 flexible coordination: Spaun model, 132–33 Fluorescent In Situ Sequencing (FISSEQ), 58, 58f FMRP (fragile X mental retardation protein), 240–41 force fields, 180 format: percepts and concepts, 171 Forschungszentrum Jülich, 116 FORTRAN, 44 foundation grants: funding for brain map, 199–200 FOXP2 gene: human and chimpanzee differences, 156; mutations of, 151–52, 155; songbirds, 155–56 fragile X mental retardation protein (FMRP), 240–41 Fragile X syndrome, 240–42 Freeman, Jeremy, 23, 65, 100–107 Freud, Sigmund, 259 Freud’s psychodynamic theory, 206 Fried, Itzhak, 211 functional brain map, 161 functional dissociations, 140 functional localization: concept, 139 functional magnetic resonance imaging (fMRI), 4–5, 244, 260 functional modeling: neural responses, 102 fusiform face area, 163; identification of, 163 Fyhn, Marianne, 71 Galen, Claudius, 3 GE, 200 Genbank (public database), 196 genealyzers, 203 gene expression, 6–9, 8f, 54 GenePaint, 9 GENESIS neural simulator, 183 genetic brain, 6–14 genetics: psychiatric patients, 235–37 genome: humans, 149, 152; neuroimaging genomics, 156–57. See also human genome GENSAT project: Rockefeller University, 9 global broadcasting: consciousness, 165, 168, 174 global collaboration: neuroscience, 111, 123–24 global neuronal workspace, 165f, 165–66 Global Science Forum: OECD, 115 Golgi, Camillo, 53 Golgi’s staining method, 256 Google, 42, 103, 200 Google Glass, 56 Gopnik, Alison, 169 Götz, Karl, 18 Graphics Processing Units (GPUs), 208–10 grid cells: cortex, 71–73; generation of, 74; teaching from, 76 grid maps: cortex, 71–73 GRS–SIM, 118 Hadoop, 103 Hafting, Torkel, 71 Hagmann, Patrick, 11 halorhodopsin, 24 Hawrylycz, Mike, 3–16, 25 head direction cells, 75 hearing: restoration, 230 Heintz, Nathanial, 9 Heisenberg, Martin, 18 Herpes virus, 47 Hill, Sean, 109, 111–24 Hinton, Geoff, 206 hippocampus: grid map, 73 Hodgkin, Alan, 182, 257 Hodgkin–Huxley equations, 257 Homo sapiens, 149, 265 Hood, Leroy, 256 Hubble, Edwin, 95 Hubel, David, 68, 105, 211, 257 human brain: mapping language, 150–51, mapping the connectome of, 12–13; understanding, 264–65 Human Brain Project (HBP), 111, 124, 126, 183; global collaboration, 123; goal of, 111–13; nature of, 195; supercomputer facilities of, 263; unifying brain models, 120–21 human cognition: Spaun model, 129 Human Connectome Project (HCP), 12–13 human genome: challenges in mapping, 195–97; deciding whose brain to map, 202–3; defining progress, 200–201; translating new knowledge, 203–4 Human Genome Project, 194, 202–3, 256 humans: cortex of, 26–27 Huxley, Andrew, 182, 257 IBM.


pages: 94 words: 26,453

The End of Nice: How to Be Human in a World Run by Robots (Kindle Single) by Richard Newton

3D printing, Black Swan, British Empire, Buckminster Fuller, Clayton Christensen, crowdsourcing, deliberate practice, disruptive innovation, fear of failure, Filter Bubble, future of work, Google Glasses, Isaac Newton, James Dyson, Jaron Lanier, Jeff Bezos, job automation, lateral thinking, Lean Startup, low skilled workers, Mark Zuckerberg, move fast and break things, move fast and break things, Paul Erdős, Paul Graham, recommendation engine, rising living standards, Robert Shiller, Robert Shiller, Silicon Valley, Silicon Valley startup, skunkworks, social intelligence, Steve Ballmer, Steve Jobs, Y Combinator

This is permanent acceleration, not a phase through which we must hold tight. As weird becomes normal and normal becomes something for the history books we find ourselves living in a world full of ambiguity, uncertainty and unpredictability. Fortunately, we are naturally well equipped to thrive under such conditions of constant change. As a species we are creative, inventive, adaptable, resourceful, competitive, ambitious and social. But there’s a smear on our Google glass vision of the future. It begins with the simple observation that society in most places on Earth has come to function because it is productive. As a result all human effort (with few exceptions) was invested into productivity. This led to a culture that prized order, conformity, predictability, tradition and normality. Doing what you oughta. Not making mistakes. Working hard on routine tasks.


pages: 125 words: 28,222

Growth Hacking Techniques, Disruptive Technology - How 40 Companies Made It BIG – Online Growth Hacker Marketing Strategy by Robert Peters

Airbnb, bounce rate, business climate, citizen journalism, crowdsourcing, digital map, Google Glasses, Jeff Bezos, Lean Startup, Menlo Park, Network effects, new economy, pull request, revision control, ride hailing / ride sharing, search engine result page, sharing economy, Skype, TaskRabbit, turn-by-turn navigation, ubercab

They had their first app out of beta and ready for the launch of the iPhone App Store in June 2008. As more app stores followed, they proved to be high-quality distribution channels for Evernote. Regardless of the device or operating system, Evernote was there when the store opened for business, prominently featured and ready for download. This is a policy Evernote continues to follow. They already have an app for the much hyped Google Glass wearable computer. Timing was not the only component of Evernote’s success, however. Their designers have created an impressive cross-platform experience with no file size limitations and no complex rules. Regardless of the device or operating system, all platforms sync up seamlessly. Evernote is totally customizable, allowing users to organize and archive their data into what the company calls their “second brain.”


pages: 351 words: 100,791

The World Beyond Your Head: On Becoming an Individual in an Age of Distraction by Matthew B. Crawford

airport security, Cass Sunstein, choice architecture, collateralized debt obligation, creative destruction, David Brooks, delayed gratification, dematerialisation, deskilling, digital Maoism, Google Glasses, hive mind, index card, informal economy, Jaron Lanier, large denomination, new economy, new new economy, Norman Mailer, online collectivism, plutocrats, Plutocrats, Richard Thaler, Rodney Brooks, self-driving car, Silicon Valley, Silicon Valley ideology, Stanford marshmallow experiment, the built environment, the scientific method, The Wisdom of Crowds, theory of mind, Walter Mischel, winner-take-all economy

If you have ever listened to the NPR show Car Talk and heard people mimicking the sounds their cars make when they are misbehaving in some way, then you have some idea of the role played by sound in our ongoing monitoring of our cars, which we become aware of only when there is a new sound, indicating a problem. 11. Then again, it is said that we live at the end of history, so maybe we needn’t fret about any of this. “In the future” (as Conan O’Brien used to say), we will be ferried around by Google’s self-driving cars, wearing Google Glass goggles and who knows what all. The goggles will give us something exciting to watch, like Grand Theft Auto, and we will be given a steering wheel that shakes realistically as we execute brilliant evasive maneuvers. We will make vroom vroom sounds with our mouths to preserve that “sense of involvement,” and arrive at our destination in a mood of triumph. We should have noted earlier that the passive kitten on the carousel has an enviable inner life. 12.

explicit thinking extended mind as challenge to Enlightenment anthropology and cultural deregulation and self-regulation fascism Federal Trade Commission Feeney, Matt felt, in organ making Fichte, Johann Gottlieb financial futures trading pits Finland firefighters five-year plans Fleming, David Florensky, Pavel flow fly balls foreign languages 401(k) plan, opt-out Fox News France Franklin, Benjamin Franzen, Jonathan freedom attention and as choice and expressive power history of jigging and Locke on meaning of metaphysics of as self-responsibility free market free will French Revolution Freud, Sigmund on death instinct friendship Frisbees Galileo Galilei Gallup, George gambling addiction see also machine gambling gay rights gaze gaze-checking Genealogy of Morals, The (Nietzsche) Germany apprenticeship in GI Bill Gibson, James J. glassmaking communication in joint attention in molten glass in team leader (gaffer) in Glenberg, Arthur M. Global Cash Access God golden rule Google Google Glass goggles “Gospel of Relaxation, The” (James) Great Recession GREs Groundwork of the Metaphysics of Morals (Kant) guilt Guinness Book of World Records, The gym, Muzak provided at gyroscopic precession habit Hanna, Robert Heal, Jane Hegel, Georg Wilhelm Friedrich Heidegger, Martin heteronomy autonomy vs. escaping of, through abstraction as inflicted by world of objects Kant on will and heuristics hipsters Hobbes, Thomas on “war of all against all” homosexuality Houk, Peter How to Keep Your Volkswagen Alive (Muir) Huffington Post human beings conflicting views on environmental claims on as evaluative creatures potential capabilities of hunches Husserl, Edmund HVAC system hyperpalatable stimuli hypocrisy IBM ice hockey hockey stick intimacy in motorcycling and puck-handling finesse and mastery in rules as jigs in identity theft Igo, Sarah immune system imperfect contingency independence individualism epistemic paradox of in U.S.


pages: 368 words: 96,825

Bold: How to Go Big, Create Wealth and Impact the World by Peter H. Diamandis, Steven Kotler

3D printing, additive manufacturing, Airbnb, Amazon Mechanical Turk, Amazon Web Services, augmented reality, autonomous vehicles, Charles Lindbergh, cloud computing, creative destruction, crowdsourcing, Daniel Kahneman / Amos Tversky, dematerialisation, deskilling, disruptive innovation, Elon Musk, en.wikipedia.org, Exxon Valdez, fear of failure, Firefox, Galaxy Zoo, Google Glasses, Google Hangouts, gravity well, ImageNet competition, industrial robot, Internet of things, Jeff Bezos, John Harrison: Longitude, John Markoff, Jono Bacon, Just-in-time delivery, Kickstarter, Kodak vs Instagram, Law of Accelerating Returns, Lean Startup, life extension, loss aversion, Louis Pasteur, low earth orbit, Mahatma Gandhi, Marc Andreessen, Mark Zuckerberg, Mars Rover, meta analysis, meta-analysis, microbiome, minimum viable product, move fast and break things, Narrative Science, Netflix Prize, Network effects, Oculus Rift, optical character recognition, packet switching, PageRank, pattern recognition, performance metric, Peter H. Diamandis: Planetary Resources, Peter Thiel, pre–internet, Ray Kurzweil, recommendation engine, Richard Feynman, ride hailing / ride sharing, risk tolerance, rolodex, self-driving car, sentiment analysis, shareholder value, Silicon Valley, Silicon Valley startup, skunkworks, Skype, smart grid, stem cell, Stephen Hawking, Steve Jobs, Steven Levy, Stewart Brand, superconnector, technoutopianism, telepresence, telepresence robot, Turing test, urban renewal, web application, X Prize, Y Combinator, zero-sum game

Watson in the cloud, tied to an openly available API, is the beginning of one such moment, the potential for a Mosaic-like interface explosion, opening AI to all sorts of new businesses and heralding its transition from deceptive to disruptive growth. Attention, exponential entrepreneurs: What are you waiting for? And everything we’ve just covered is here today. “Soon,” says Ray Kurzweil,40 “we will give an AI permission to listen to every phone conversation you have. Permission to read your emails and blogs, eavesdrop on your meetings, review your genome scan, watch what you eat and how much you exercise, even tap into your Google Glass feed. And by doing all this, your personal AI will be able to provide you with information even before you know you need it.” Imagine, for example, a system that recognizes the faces of people in your visual field and provides you with their names. This shouldn’t be too much of a mental stretch, as these capabilities are already coming online. Now imagine that this same AI also has contextual understanding—meaning the system recognizes that your conversation with your friend is heading in the direction of family life—so the AI reminds you of the names of each of your friend’s family members, as well as any upcoming birthdays they might have.

., 15, 17, 18, 19, 20, 21 structure of, 21 see also entrepreneurs, exponential; specific exponential entrepreneurs and organizations Exponential Organizations (ExO) (Ismail), xiv, 15 extrinsic rewards, 78, 79 Exxon Valdez, 250 FAA (Federal Aviation Administration), 110, 111, 261 Facebook, 14, 16, 88, 128, 173, 182, 185, 190, 195, 196, 202, 212, 213, 217, 218, 224, 233, 234, 236, 241 facial recognition software, 58 Fairchild Semiconductor, 4 Falcon launchers, 97, 119, 122, 123 false wins, 268, 269, 271 Fast Company, 5, 248 Favreau, Jon, 117 feedback, feedback loops, 28, 77, 83, 84, 120, 176, 180 in crowdfunding campaigns, 176, 180, 182, 185, 190, 199, 200, 202, 209–10 triggering flow with, 86, 87, 90–91, 92 Festo, 61 FeverBee (blog), 233 Feynman, Richard, 268, 271 Firefox Web browser, 11 first principles, 116, 120–21, 122, 126 Fiverr, 157 fixed-funding campaigns, 185–86, 206 “flash prizes,” 250 Flickr, 14 flow, 85–94, 109, 278 creative triggers of, 87, 93 definition of, 86 environmental triggers of, 87, 88–89 psychological triggers of, 87, 89–91, 92 social triggers of, 87, 91–93 Flow Genome Project, xiii, 87, 278 Foldit, 145 Forbes, 125 Ford, Henry, 33, 112–13 Fortune, 123 Fossil Wrist Net, 176 Foster, Richard, 14–15 Foundations (Rose), 120 Fowler, Emily, 299n Foxconn, 62 Free (Anderson), 10–11 Freelancer.com, 149–51, 156, 158, 163, 165, 195, 207 Friedman, Thomas, 150–51 Galaxy Zoo, 220–21, 228 Gartner Hype Cycle, 25–26, 25, 26, 29 Gates, Bill, 23, 53 GEICO, 227 General Electric (GE), 43, 225 General Mills, 145 Gengo.com, 145 Genius, 161 genomics, x, 63, 64–65, 66, 227 Georgia Tech, 197 geostationary satellite, 100 Germany, 55 Get a Freelancer (website), 149 Gigwalk, 159 Giovannitti, Fred, 253 Gmail, 77, 138, 163 goals, goal setting, 74–75, 78, 79, 80, 82–83, 84, 85, 87, 137 in crowdfunding campaigns, 185–87, 191 moonshots in, 81–83, 93, 98, 103, 104, 110, 245, 248 subgoals in, 103–4, 112 triggering flow with, 89–90, 92, 93 Godin, Seth, 239–40 Google, 11, 14, 47, 50, 61, 77, 80, 99, 128, 134, 135–39, 167, 195, 208, 251, 286n artificial intelligence development at, 24, 53, 58, 81, 138–39 autonomous cars of, 43–44, 44, 136, 137 eight innovation principles of, 84–85 robotics at, 139 skunk methodology used at, 81–84 thinking-at-scale strategies at, 136–38 Google Docs, 11 Google Glass, 58 Google Hangouts, 193, 202 Google Lunar XPRIZE, 139, 249 Googleplex, 134 Google+, 185, 190, 202 GoogleX, 81, 82, 83, 139 Google Zeitgeist, 136 Gossamer Condor, 263 Gou, Terry, 62 graphic designers, in crowdfunding campaigns, 193 Green, Hank, 180, 200 Grepper, Ryan, 210, 211–13 Grishin, Dmitry, 62 Grishin Robotics, 62 group flow, 91–93 Gulf Coast oil spill (2010), 250, 251, 253 Gulf of Mexico, 250, 251 hackathons, 159 hacker spaces, 62, 64 Hagel, John, III, 86, 106–7 HAL (fictional AI system), 52, 53 Hallowell, Ned, 88 Hariri, Robert, 65, 66 Harrison, John, 245, 247, 267 Hawking, Stephen, 110–12 Hawley, Todd, 100, 103, 104, 107, 114n Hayabusa mission, 97 health care, x, 245 AI’s impact on, 57, 276 behavior tracking in, 47 crowdsourcing projects in, 227, 253 medical manufacturing in, 34–35 robotics in, 62 3–D printing’s impact on, 34–35 Heath, Dan and Chip, 248 Heinlein, Robert, 114n Hendy, Barry, 12 Hendy’s law, 12 HeroX, 257–58, 262, 263, 265, 267, 269, 299n Hessel, Andrew, 63, 64 Hinton, Geoffrey, 58 Hoffman, Reid, 77, 231 Hollywood, 151–52 hosting platforms, 20–21 Howard, Jeremy, 54 Howe, Jeff, 144 Hseih, Tony, 80 Hughes, Jack, 152, 225–27, 254 Hull, Charles, 29–30, 32 Human Longevity, Inc.


pages: 340 words: 97,723

The Big Nine: How the Tech Titans and Their Thinking Machines Could Warp Humanity by Amy Webb

Ada Lovelace, AI winter, Airbnb, airport security, Alan Turing: On Computable Numbers, with an Application to the Entscheidungsproblem, artificial general intelligence, Asilomar, autonomous vehicles, Bayesian statistics, Bernie Sanders, bioinformatics, blockchain, Bretton Woods, business intelligence, Cass Sunstein, Claude Shannon: information theory, cloud computing, cognitive bias, complexity theory, computer vision, crowdsourcing, cryptocurrency, Daniel Kahneman / Amos Tversky, Deng Xiaoping, distributed ledger, don't be evil, Donald Trump, Elon Musk, Filter Bubble, Flynn Effect, gig economy, Google Glasses, Grace Hopper, Gödel, Escher, Bach, Inbox Zero, Internet of things, Jacques de Vaucanson, Jeff Bezos, Joan Didion, job automation, John von Neumann, knowledge worker, Lyft, Mark Zuckerberg, Menlo Park, move fast and break things, move fast and break things, natural language processing, New Urbanism, one-China policy, optical character recognition, packet switching, pattern recognition, personalized medicine, RAND corporation, Ray Kurzweil, ride hailing / ride sharing, Rodney Brooks, Rubik’s Cube, Sand Hill Road, Second Machine Age, self-driving car, SETI@home, side project, Silicon Valley, Silicon Valley startup, skunkworks, Skype, smart cities, South China Sea, sovereign wealth fund, speech recognition, Stephen Hawking, strong AI, superintelligent machines, technological singularity, The Coming Technological Singularity, theory of mind, Tim Cook: Apple, trade route, Turing machine, Turing test, uber lyft, Von Neumann architecture, Watson beat the top human players on Jeopardy!, zero day

Rather than standing in line every year or two to buy the latest handset, consumers instead spent that money on a suite of new connected devices that came on the market: wireless, Bluetooth earphones with biometric sensors, wristbands that allowed you to record video and make video calls, and smart glasses that fed us a seemingly endless stream of information. Applezon beat Google to market with its glasses—Applezon Vision—which wasn’t a surprise. Apple and Amazon each had a long, successful track record of hyping new technologies and driving consumer taste. (The commercial failure of Google Glass still stung for some within the company, even if the technology was groundbreaking.) Now most people wear smart glasses and earbuds during the day along with a companion ring or wristband for video recording. It turns out that glasses were inevitable. After two decades of staring into screens, our eyes can no longer make the necessary accommodations, and the majority of us have blurred distance vision and needed reading glasses at younger ages.

See also names of specific Go players; AlphaGo; AlphaGo Zero Go Intellect, 41 Good, I. J., 33, 148, 177 Google, 3, 43, 48, 67, 69, 85–86, 96, 119, 211–212, 254; Calico health initiative, 194; in catastrophic scenario of future, 207, 209, 215, 216–217, 218, 219, 221, 223, 224, 225; Chinese ban, 76; consumer connections to, 88; Coursera online learning platform and, 92–93; custom silicon, 91; DeepDream project, 111–112; diversity and, 54–55; Google Glass failure, 191; in optimistic scenario of future, 159, 161, 163, 165, 171, 173; mobile operating system, 139; new set of core principles, 101; no weapons principle, 101; original core value, 99; in pragmatic scenario of future, 186, 187, 188, 189, 194, 195, 201, 202, 203, 205; Project Maven debacle and employee resignations, 79, 101; scanning and indexing of copyrighted books, 94; senior leadership, 56; sexual assault and harassment at, 55–56; 2018 South by Southwest Festival smart home, 216–217; unconscious bias initiative, 55; values algorithm, 99, 101–102; view of women in workplace, 64–65.


pages: 344 words: 96,020

Hacking Growth: How Today's Fastest-Growing Companies Drive Breakout Success by Sean Ellis, Morgan Brown

Airbnb, Amazon Web Services, barriers to entry, Ben Horowitz, bounce rate, business intelligence, business process, correlation does not imply causation, crowdsourcing, DevOps, disruptive innovation, Elon Musk, game design, Google Glasses, Internet of things, inventory management, iterative process, Jeff Bezos, Khan Academy, Kickstarter, Lean Startup, Lyft, Mark Zuckerberg, market design, minimum viable product, Network effects, Paul Graham, Peter Thiel, Ponzi scheme, recommendation engine, ride hailing / ride sharing, side project, Silicon Valley, Silicon Valley startup, Skype, Snapchat, software as a service, Steve Jobs, subscription business, Travis Kalanick, Uber and Lyft, Uber for X, uber lyft, working poor, Y Combinator, young professional

Of course, building a must-have product isn’t easy, and one result is that too often those launching new businesses or products put the cart before the horse, pouring resources and staff into trying to drive more customers to a product that isn’t actually loved, or sometimes even understood, by its target market. This is one of the most common, and deadly, mistakes start-up founders make, and it’s also a huge problem that often surfaces when established firms, even those known for their innovation prowess, launch new products. Just think of Google Glass and Amazon’s Fire Phone—both innovative products…that nobody wanted. Or the infamous Microsoft Zune media player, launched in November 2006, which Microsoft reportedly spent at least $26 million to promote but which never generated more than a tepid response.1 The Zune was not a bad product; many critics considered it quite well designed. But it added no “wow factor” to make it more appealing than Apple’s already ubiquitous iPods.

Even truly great products that are loved by a core group of early adopters will almost surely fail without a well-focused effort to vigorously drive growth. So much media coverage of failed products is devoted to ones that professed to be “the next big thing” but that, with hindsight, clearly failed to offer a compelling core product value to a large enough market beyond their early adopters, like the aforementioned Google Glass or the much-hyped Segway scooter. There is less coverage about the more perplexing failures: those of products that do offer a very appealing core value and for which there is a large potential market that isn’t yet dominated by incumbents. Here the problem is often the lack of a well-designed and -executed strategy for driving growth. Take the case of Everpix, which was one of the most highly regarded photo apps in recent memory.


pages: 411 words: 98,128

Bezonomics: How Amazon Is Changing Our Lives and What the World's Best Companies Are Learning From It by Brian Dumaine

activist fund / activist shareholder / activist investor, AI winter, Airbnb, Amazon Web Services, Atul Gawande, autonomous vehicles, basic income, Bernie Sanders, Black Swan, call centre, Chris Urmson, cloud computing, corporate raider, creative destruction, Danny Hillis, Donald Trump, Elon Musk, Erik Brynjolfsson, future of work, gig economy, Google Glasses, Google X / Alphabet X, income inequality, industrial robot, Internet of things, Jeff Bezos, job automation, Joseph Schumpeter, Kevin Kelly, Lyft, Marc Andreessen, Mark Zuckerberg, money market fund, natural language processing, pets.com, plutocrats, Plutocrats, race to the bottom, ride hailing / ride sharing, Sand Hill Road, self-driving car, shareholder value, Silicon Valley, Silicon Valley startup, Snapchat, speech recognition, Steve Jobs, Stewart Brand, supply-chain management, Tim Cook: Apple, too big to fail, Travis Kalanick, Uber and Lyft, uber lyft, universal basic income, wealth creators, web application, Whole Earth Catalog

The company’s logistics have become more sophisticated and its pockets deeper—and, besides, if Amazon wants to maintain its rapid growth pace, it will need new markets to penetrate. As a first step, Bezos in 2014 hired Babak Parviz, an Iranian immigrant who previously headed Google X, a respected research facility (now a division of Alphabet called X) that worked on various moonshot projects, including kites that gather wind energy, the Google Glass virtual-reality headset, and self-driving cars—an initiative that eventually became the Alphabet subsidiary Waymo. Just as at Google, Parviz’s innovation lab at Amazon, which is named Grand Challenge, will have, as its name suggests, a broad mandate to take the long view and to tinker creatively on some of the world’s biggest problems. A job posting for the lab cited astronomer Carl Sagan: “Somewhere, something incredible is waiting to be known.”

See warehouses Furman, Jason, 261 Gao, Wei, 52 Gates, Bill, 58, 241 Gawande, Atul, 27, 227 Geneen, Harold, 216 General Mills, 267 Gen Zers, 15–16, 19 Germany, 22, 119, 154, 189, 237 Gianaris, Michael, 254 Gibson, William, 102 Gilboa, David, 211, 212 Gilded Age, 264–65, 266 Gillespie, Jane, 179 Gise, Lawrence Preston, 31–32, 33–34, 36–37, 42 Gise, Mattie, 36 Gizmodo, 93 Glass-Steagall Act, 257 Goldman Sachs, 8, 235 Good to Great (Collins), 5, 78, 83 Google AI-driven flywheel at, 88–89, 90 Amazon’s shopping searches versus searches on, 221 Android operating system of, 14, 64, 225 Best Buy marketing of electronics from, 205 Bezos’s investment in, 217 brand value of, 16 corporate campus of, 75 digital advertising and, 220, 221 facial recognition and, 35 health-care innovation by, 90, 225 identification with founder, 53 public perception of founder of, 57, 58 search engine of, 88–89, 117, 123 shopping assistants of, 116, 117 smart home devices from, 116 Voice Search app from, 108 Google Assistant voice system, 111, 113, 117, 191 Google Glass initiative, 224 Google Home device, 114, 117 Google Pay, 235 Google Shopping website, 117 Gordon, Bing, 96 Gorelick, Jamie, 66 government facial recognition contracts, controversy over, 35–36 Graham Don, 68 grocery stores. See also Whole Foods stores and other specific stores Amazon’s plan for chain of, 24 automation in, 139–41 Bezos’s disruption of, 168 two-hour delivery by, 105, 171, 184 Grove, Andy, 51 Gulf and Western, 216 Hart, Greg, 47–49, 52, 54, 66, 75, 103–4, 226, 237 Harvard Business School, 75, 206 Harvard University, 138, 240 Haven nonprofit health-care partnership, 27, 227–28, 230 HBO Go, 94, 237 health-care industry, 222–31.


pages: 502 words: 107,657

Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die by Eric Siegel

Albert Einstein, algorithmic trading, Amazon Mechanical Turk, Apple's 1984 Super Bowl advert, backtesting, Black Swan, book scanning, bounce rate, business intelligence, business process, butter production in bangladesh, call centre, Charles Lindbergh, commoditize, computer age, conceptual framework, correlation does not imply causation, crowdsourcing, dark matter, data is the new oil, en.wikipedia.org, Erik Brynjolfsson, Everything should be made as simple as possible, experimental subject, Google Glasses, happiness index / gross national happiness, job satisfaction, Johann Wolfgang von Goethe, lifelogging, Machine translation of "The spirit is willing, but the flesh is weak." to Russian and back, mass immigration, Moneyball by Michael Lewis explains big data, Nate Silver, natural language processing, Netflix Prize, Network effects, Norbert Wiener, personalized medicine, placebo effect, prediction markets, Ray Kurzweil, recommendation engine, risk-adjusted returns, Ronald Coase, Search for Extraterrestrial Intelligence, self-driving car, sentiment analysis, Shai Danziger, software as a service, speech recognition, statistical model, Steven Levy, text mining, the scientific method, The Signal and the Noise by Nate Silver, The Wisdom of Crowds, Thomas Bayes, Thomas Davenport, Turing test, Watson beat the top human players on Jeopardy!, X Prize, Yogi Berra, zero-sum game

Predictive models determined the medical treatments you have previously received, leaving you healthier today. Tomorrow’s Just a Day Away All the preceding capabilities are available now or have similar incarnations actively under development. Many are delayed more by the (now imminent) integration of your smartphone with your car than by the development of predictive technology itself. The advent of mobile devices built into your glasses, such as Google Glass, will provide yet another multiplicative effect on the moment-to-moment integration of prediction, as well as further accelerating the accumulation of data with which to develop predictive models. Today, PA’s all-encompassing scope already reaches the very heart of a functioning society. Organizations—be they companies, governments, law-enforcement, charities, hospitals, or universities—undertake many millions of operational decisions in order to enact services.

See crime fighting and fraud detection frequency Freud, Sigmund Friedman, Jerome friendships, predicting Fukuman, Audrey Fulcher, Christopher fund-raising, predicting in Furnas, Alexander future, views on human nature and knowing about predictions for 2020 uncertainty of G Galileo generalization paradox Ghani, Rayid Gilbert, Eric Gimpert, Ben Gladwell, Malcolm GlaxoSmithKline (UK) Gmail Goethe, Johann Wolfgang von Goldbloom, Anthony Gondek, David Google ineffective ads, predicting mouse clicks, measuring for predictions privacy policies Schmidt, Eric searches for playing Jeopardy! self-driving cars spam filtering Google Adwords Google Flu Trends Google Glass Google Page Rank government data storage by fraud detection for invoices PA for public access to data GPS data grades, predicting Granger, Clive grant awards, predicting Greenspan, Alan Grockit Groundhog Day (film) Grundhoefer, Michael H hackers, predicting Halder, Gitali HAL (intelligent computer) Hansell, Saul happiness, social effect and Harbor Sweets Harcourt, Bernard Harrah’s Las Vegas Harris, Jeanne Harvard Medical School Harvard University Hastings, Reed healthcare death predictions in health risks, predicting hospital admissions, predicting influenza, predicting medical research, predicting in medical treatments, risks for wrong predictions in medical treatments, testing persuasion in PA for personalized medicine, uplift modeling applications for health insurance companies, PA for Hebrew University Heisenberg, Werner Karl Helle, Eva Helsinki Brain Research Centre Hennessey, Kathleen Heraclitus Heritage Health Prize Heritage Provider Network Hewlett Foundation Hewlett-Packard (HP) employee data used by financial savings and benefits of PA Global Business Services (GBS) quitting and Flight Risks, predicting sales leads, predicting turnover rates at warranty claims and fraud detection High Anxiety (film) HIV progression, predicting HIV treatments, uplift modeling for Hollifield, Stephen Holmes, Sherlock hormone replacement, coronary disease and hospital admissions, predicting Hotmail.com House (TV show) “How Companies Learn Your Secrets” (Duhigg) Howe, Jeff HP.


pages: 343 words: 102,846

Trees on Mars: Our Obsession With the Future by Hal Niedzviecki

"Robert Solow", Ada Lovelace, agricultural Revolution, Airbnb, Albert Einstein, anti-communist, big data - Walmart - Pop Tarts, big-box store, business intelligence, Colonization of Mars, computer age, crowdsourcing, David Brooks, Elon Musk, en.wikipedia.org, Erik Brynjolfsson, Flynn Effect, Google Glasses, hive mind, Howard Zinn, if you build it, they will come, income inequality, Internet of things, invention of movable type, Jaron Lanier, Jeff Bezos, job automation, John von Neumann, knowledge economy, Kodak vs Instagram, life extension, Lyft, Marc Andreessen, Mark Zuckerberg, Marshall McLuhan, Peter H. Diamandis: Planetary Resources, Peter Thiel, Pierre-Simon Laplace, Ponzi scheme, precariat, prediction markets, Ralph Nader, randomized controlled trial, Ray Kurzweil, ride hailing / ride sharing, rising living standards, Ronald Reagan, self-driving car, shareholder value, sharing economy, Silicon Valley, Silicon Valley startup, Skype, Steve Jobs, TaskRabbit, technological singularity, technoutopianism, Ted Kaczynski, Thomas L Friedman, Uber and Lyft, uber lyft, working poor

Clearly, her spiritual beliefs fit right into the tenor of the times. In fact, they neatly dovetail with the overall techno-utopian belief system revolving around “faith in the (technological) future.” In this extreme but also now mainstream belief system the goal of technological upgrade, of speeding up the process of change, isn’t the perfect iPhone; it isn’t a device downloaded into your brain, amplified and accessed via Google Glass; it isn’t even an army of robots we control with our minds who do our bidding and create unimaginable wealth and luxury for all. The goal is to arrive at the perfect end—the end of institution, the end of collective humanity, the end of death, and even the end of future itself, which emerges triumphantly re-engineered as the endless present moment. For our minds on future, this last point is the one we fixate on.

When creators Yanko Design put up the device on a web page in 2013 and started, uh, plugging it, their tweet was retweeted more than 1,600 times, and a Facebook post was liked more than 18,000 times.11 Ah ha! Free energy to power the devices dividing like Tribbles over every available surface. Problem? Solution. Hope! No matter what side you’re on, this post-industrial shell game is pushing us to the brink and beyond. Going to Mars isn’t a solution, it’s a fatal distraction, a chimera as pointless as a Google Glass that actually works or a scheme to download our minds onto computer chips. So too is the idea that we can somehow personalize our disasters and emerge, with the right bugout gear and good old-fashioned American know-how, from the other end of collapse better, stronger, freer. Smoke grenades and hydroponics, trees on Mars and self-driving electric cars, solar outlets and solar panels, it’s all just exacerbating our problems and distracting us from the reality of our situation.


pages: 523 words: 112,185

Doing Data Science: Straight Talk From the Frontline by Cathy O'Neil, Rachel Schutt

Amazon Mechanical Turk, augmented reality, Augustin-Louis Cauchy, barriers to entry, Bayesian statistics, bioinformatics, computer vision, correlation does not imply causation, crowdsourcing, distributed generation, Edward Snowden, Emanuel Derman, fault tolerance, Filter Bubble, finite state, Firefox, game design, Google Glasses, index card, information retrieval, iterative process, John Harrison: Longitude, Khan Academy, Kickstarter, Mars Rover, Nate Silver, natural language processing, Netflix Prize, p-value, pattern recognition, performance metric, personalized medicine, pull request, recommendation engine, rent-seeking, selection bias, Silicon Valley, speech recognition, statistical model, stochastic process, text mining, the scientific method, The Wisdom of Crowds, Watson beat the top human players on Jeopardy!, X Prize

We are being datafied, or rather our actions are, and when we “like” someone or something online, we are intending to be datafied, or at least we should expect to be. But when we merely browse the Web, we are unintentionally, or at least passively, being datafied through cookies that we might or might not be aware of. And when we walk around in a store, or even on the street, we are being datafied in a completely unintentional way, via sensors, cameras, or Google glasses. This spectrum of intentionality ranges from us gleefully taking part in a social media experiment we are proud of, to all-out surveillance and stalking. But it’s all datafication. Our intentions may run the gamut, but the results don’t. They follow up their definition in the article with a line that speaks volumes about their perspective: Once we datafy things, we can transform their purpose and turn the information into new forms of value.

goodness, Research Experiment (Observational Medical Outcomes Partnership) Google, Big Data and Data Science Hype, Getting Past the Hype, Getting Past the Hype, Datafication, Populations and Samples of Big Data, Machine Learning Algorithms, Evaluation, David Huffaker: Google’s Hybrid Approach to Social Research Bell Labs and, Exploratory Data Analysis experimental infrastructures, A/B Tests issues with, Feature Selection machine learning and, Machine Learning Algorithms MapReduce and, Data Engineering: MapReduce, Pregel, and Hadoop mixed-method approaches and, Moving from Descriptive to Predictive privacy and, Privacy sampling and, Populations and Samples of Big Data skills for, The Current Landscape (with a Little History) social layer at, Social at Google social research, approach to, David Huffaker: Google’s Hybrid Approach to Social Research–Thought Experiment: What Is the Best Way to Decrease Concern and Increase Understanding and Control? text-mining models and, Thought Experiment: Meta-Definition Google glasses, Datafication Google+, The Data Science Process, David Huffaker: Google’s Hybrid Approach to Social Research, Moving from Descriptive to Predictive, Social Networks and Data Journalism graph statistics, A Second Example of Random Graphs: The Exponential Random Graph Model graph theory, Social Network Analysis grouping data, k-means groups, Terminology from Social Networks Guyon, Isabelle, Example: User Retention, Filters H Hadoop, Populations and Samples of Big Data, Economic Interlude: Hadoop–Cloudera analytical applications, So How to Get Started with Hadoop?


pages: 179 words: 43,441

The Fourth Industrial Revolution by Klaus Schwab

3D printing, additive manufacturing, Airbnb, Amazon Mechanical Turk, Amazon Web Services, augmented reality, autonomous vehicles, barriers to entry, Baxter: Rethink Robotics, bitcoin, blockchain, Buckminster Fuller, call centre, clean water, collaborative consumption, commoditize, conceptual framework, continuous integration, crowdsourcing, digital twin, disintermediation, disruptive innovation, distributed ledger, Edward Snowden, Elon Musk, epigenetics, Erik Brynjolfsson, future of work, global value chain, Google Glasses, income inequality, Internet Archive, Internet of things, invention of the steam engine, job automation, job satisfaction, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, life extension, Lyft, mass immigration, megacity, meta analysis, meta-analysis, more computing power than Apollo, mutually assured destruction, Narrative Science, Network effects, Nicholas Carr, personalized medicine, precariat, precision agriculture, Productivity paradox, race to the bottom, randomized controlled trial, reshoring, RFID, rising living standards, Sam Altman, Second Machine Age, secular stagnation, self-driving car, sharing economy, Silicon Valley, smart cities, smart contracts, software as a service, Stephen Hawking, Steve Jobs, Steven Levy, Stuxnet, supercomputer in your pocket, TaskRabbit, The Future of Employment, The Spirit Level, total factor productivity, transaction costs, Uber and Lyft, uber lyft, Watson beat the top human players on Jeopardy!, WikiLeaks, winner-take-all economy, women in the workforce, working-age population, Y Combinator, Zipcar

Positive impacts – Increased transparency – Increased and faster interconnection between individuals and groups – Increase in free speech – Faster information dissemination/exchange – More efficient use of government services Negative impacts – Privacy/potential surveillance – More identity theft – Online bullying/stalking – Groupthink within interest groups and increased polarization – Disseminating inaccurate information (the need for reputation management); echo chambers78 – Lack of transparency where individuals are not privy to information algorithms (for news/information) Unknown, or cuts both ways – Digital legacies/footprints – More targeted advertising – More targeted information and news – Individual profiling – Permanent identity (no anonymity) – Ease of developing online social movement (political groups, interest groups, hobbies, terrorist groups) The shift in action If the three largest popular social media sites were countries, they would have almost a billion more people than China “See Figure I.” Figure I: Active Users of Social Media sites compared with the populations of the world’s largest countries Source: http://mccrindle.com.au/the-mccrindle-blog/social-media-and-narcissism Shift 3: Vision as the New Interface The tipping point: 10% of reading glasses connected to the internet By 2025: 86% of respondents expected this tipping point will have occurred Google Glass is just the first of many potential ways in which glasses, eyewear/headsets and eye-tracking devices can become “intelligent” and lead to eyes and vision being the connection to the internet and connected devices. With direct access to internet applications and data through vision, an individual’s experiences can be enhanced, mediated or completely augmented to provide different, immersive reality.


pages: 144 words: 43,356

Surviving AI: The Promise and Peril of Artificial Intelligence by Calum Chace

"Robert Solow", 3D printing, Ada Lovelace, AI winter, Airbnb, artificial general intelligence, augmented reality, barriers to entry, basic income, bitcoin, blockchain, brain emulation, Buckminster Fuller, cloud computing, computer age, computer vision, correlation does not imply causation, credit crunch, cryptocurrency, cuban missile crisis, dematerialisation, discovery of the americas, disintermediation, don't be evil, Elon Musk, en.wikipedia.org, epigenetics, Erik Brynjolfsson, everywhere but in the productivity statistics, Flash crash, friendly AI, Google Glasses, hedonic treadmill, industrial robot, Internet of things, invention of agriculture, job automation, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, John von Neumann, Kevin Kelly, life extension, low skilled workers, Mahatma Gandhi, means of production, mutually assured destruction, Nicholas Carr, pattern recognition, peer-to-peer, peer-to-peer model, Peter Thiel, Ray Kurzweil, Rodney Brooks, Second Machine Age, self-driving car, Silicon Valley, Silicon Valley ideology, Skype, South Sea Bubble, speech recognition, Stanislav Petrov, Stephen Hawking, Steve Jobs, strong AI, technological singularity, The Future of Employment, theory of mind, Turing machine, Turing test, universal basic income, Vernor Vinge, wage slave, Wall-E, zero-sum game

Another aspect of the hype around each new invention is that their early incarnations are often disappointing. If you were around for the launch of the first mobile phones you will remember they were a bit of a joke: the size of a brick and the weight of a small suitcase, they were ridiculed as the expensive playthings of pretentious yuppies. Now almost everyone in the developed world has a smartphone. Similar ridicule attended the launch of Siri and Google Glass, but contrary to popular opinion, they are emphatically not failures. They are simply the first, tentative outings of technologies which will soon revolutionise our lives. Less fuss has so far been made about another extraordinary innovation: an app called Crystal trawls the internet for anything written by a person of interest to you and helps you draft your communication with them. It is in beta mode at the time of writing, and many of those who have tried it have criticised it as both creepy and ineffective.


pages: 387 words: 119,409

Work Rules!: Insights From Inside Google That Will Transform How You Live and Lead by Laszlo Bock

Airbnb, Albert Einstein, AltaVista, Atul Gawande, Black Swan, book scanning, Burning Man, call centre, Cass Sunstein, Checklist Manifesto, choice architecture, citizen journalism, clean water, correlation coefficient, crowdsourcing, Daniel Kahneman / Amos Tversky, deliberate practice, en.wikipedia.org, experimental subject, Frederick Winslow Taylor, future of work, Google Earth, Google Glasses, Google Hangouts, Google X / Alphabet X, Googley, helicopter parent, immigration reform, Internet Archive, longitudinal study, Menlo Park, mental accounting, meta analysis, meta-analysis, Moneyball by Michael Lewis explains big data, nudge unit, PageRank, Paul Buchheit, Ralph Waldo Emerson, Rana Plaza, random walk, Richard Thaler, Rubik’s Cube, self-driving car, shareholder value, side project, Silicon Valley, six sigma, statistical model, Steve Ballmer, Steve Jobs, Steven Levy, Steven Pinker, survivorship bias, TaskRabbit, The Wisdom of Crowds, Tony Hsieh, Turing machine, winner-take-all economy, Y2K

Chrome, launched as a safer, faster, and open-source Web browser in 2008, has over 750 million active users and has grown into an operating system powering “Chromebook” laptops.10 And Google is just beginning to explore what is possible, from self-driving cars to Project Loon, which aims to provide Internet access by balloon to the hardest-to-reach parts of the globe. From wearable computing products like Google Glass, which blends the Web and the world in a tiny lens that sits above your right eye (we’re working on a version for lefties), to the Google Smart Contact Lens, a contact lens that doubles as a blood glucose monitor for people with diabetes. Each year, tens of thousands of visitors come to our campuses around the world. They include social and business entrepreneurs, high school and college students, CEOs and celebrities, heads of state and kings and queens.

Excite passed.iii This was before Google’s first advertising system, AdWords, was launched in 2000, before Google Groups (2001), Images (2001), Books (2003), Gmail (2004), Apps (spreadsheets and documents for businesses, 2006), Street View (2007), and dozens of other products we use every day. It was before Google Search was available in over 150 languages, and before we opened our first international office in Tokyo (2001). And way before your Android phone could buzz you in advance if your flight was delayed, or you could say to the Google Glass on your eyeglass frame, “Okay, Glass, take a picture and send it to Chris,” and know Chris will get to see through your eyes. Larry and Sergey had ambitions beyond developing a great search engine. They started out knowing how they wanted people to be treated. Quixotic as it sounds, they both wanted to create a company where work was meaningful, employees felt free to pursue their passions, and people and their families were cared for.


pages: 481 words: 125,946

What to Think About Machines That Think: Today's Leading Thinkers on the Age of Machine Intelligence by John Brockman

agricultural Revolution, AI winter, Alan Turing: On Computable Numbers, with an Application to the Entscheidungsproblem, algorithmic trading, artificial general intelligence, augmented reality, autonomous vehicles, basic income, bitcoin, blockchain, clean water, cognitive dissonance, Colonization of Mars, complexity theory, computer age, computer vision, constrained optimization, corporate personhood, cosmological principle, cryptocurrency, cuban missile crisis, Danny Hillis, dark matter, discrete time, Douglas Engelbart, Elon Musk, Emanuel Derman, endowment effect, epigenetics, Ernest Rutherford, experimental economics, Flash crash, friendly AI, functional fixedness, global pandemic, Google Glasses, hive mind, income inequality, information trail, Internet of things, invention of writing, iterative process, Jaron Lanier, job automation, Johannes Kepler, John Markoff, John von Neumann, Kevin Kelly, knowledge worker, loose coupling, microbiome, Moneyball by Michael Lewis explains big data, natural language processing, Network effects, Norbert Wiener, pattern recognition, Peter Singer: altruism, phenotype, planetary scale, Ray Kurzweil, recommendation engine, Republic of Letters, RFID, Richard Thaler, Rory Sutherland, Satyajit Das, Search for Extraterrestrial Intelligence, self-driving car, sharing economy, Silicon Valley, Skype, smart contracts, social intelligence, speech recognition, statistical model, stem cell, Stephen Hawking, Steve Jobs, Steven Pinker, Stewart Brand, strong AI, Stuxnet, superintelligent machines, supervolcano, the scientific method, The Wisdom of Crowds, theory of mind, Thorstein Veblen, too big to fail, Turing machine, Turing test, Von Neumann architecture, Watson beat the top human players on Jeopardy!, Y2K

But the police are working on it; which cop wouldn’t want a Google Glass app that highlights those passersby who have a history of violence—perhaps coupled with W-band radar to see which of them is carrying a weapon? The next question is whether only the authorities will have enhanced cognition systems or if they’ll be available to all. In twenty years’ time, will we all be wearing augmented-reality goggles? What will the power relationships be? If a policeman can see my arrest record when he looks at me, can I see whether he’s been the subject of brutality complaints? If a politician can see whether I’m a party supporter or an independent, can I see his voting record on the three issues I care about? Never mind the right to bear arms; what about the right to wear Google Glass? Perception and cognition will no longer be conducted inside an individual’s head.


pages: 199 words: 43,653

Hooked: How to Build Habit-Forming Products by Nir Eyal

Airbnb, AltaVista, Cass Sunstein, choice architecture, cognitive bias, cognitive dissonance, en.wikipedia.org, framing effect, game design, Google Glasses, IKEA effect, Inbox Zero, invention of the telephone, iterative process, Jeff Bezos, Lean Startup, Mahatma Gandhi, Mark Zuckerberg, meta analysis, meta-analysis, Oculus Rift, Paul Buchheit, Paul Graham, Peter Thiel, QWERTY keyboard, Richard Thaler, Silicon Valley, Silicon Valley startup, Snapchat, TaskRabbit, telemarketer, the new new thing, Toyota Production System, Y Combinator

Likewise, the fast ascent of mobile devices, including tablets, has spawned a new revolution in interface changes—and a new generation of start-up products and services designed around mobile user needs and behaviors. To uncover where interfaces are changing, Paul Buchheit, a partner at Y Combinator, encourages entrepreneurs to “live in the future.”10 A profusion of interface changes are just a few years away. Wearable technologies like Google Glass, the Oculus Rift virtual reality goggles, and the Pebble smartwatch promise to change how users interact with the real and digital worlds. By looking forward to anticipate where interfaces will change, the enterprising designer can uncover new ways to form user habits. REMEMBER & SHARE The Hook Model helps the product designer generate an initial prototype for a habit-forming technology.


pages: 742 words: 137,937

The Future of the Professions: How Technology Will Transform the Work of Human Experts by Richard Susskind, Daniel Susskind

23andMe, 3D printing, additive manufacturing, AI winter, Albert Einstein, Amazon Mechanical Turk, Amazon Web Services, Andrew Keen, Atul Gawande, Automated Insights, autonomous vehicles, Big bang: deregulation of the City of London, big data - Walmart - Pop Tarts, Bill Joy: nanobots, business process, business process outsourcing, Cass Sunstein, Checklist Manifesto, Clapham omnibus, Clayton Christensen, clean water, cloud computing, commoditize, computer age, Computer Numeric Control, computer vision, conceptual framework, corporate governance, creative destruction, crowdsourcing, Daniel Kahneman / Amos Tversky, death of newspapers, disintermediation, Douglas Hofstadter, en.wikipedia.org, Erik Brynjolfsson, Filter Bubble, full employment, future of work, Google Glasses, Google X / Alphabet X, Hacker Ethic, industrial robot, informal economy, information retrieval, interchangeable parts, Internet of things, Isaac Newton, James Hargreaves, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, Joseph Schumpeter, Khan Academy, knowledge economy, lifelogging, lump of labour, Marshall McLuhan, Metcalfe’s law, Narrative Science, natural language processing, Network effects, optical character recognition, Paul Samuelson, personalized medicine, pre–internet, Ray Kurzweil, Richard Feynman, Second Machine Age, self-driving car, semantic web, Shoshana Zuboff, Skype, social web, speech recognition, spinning jenny, strong AI, supply-chain management, telepresence, The Future of Employment, the market place, The Wealth of Nations by Adam Smith, The Wisdom of Crowds, transaction costs, Turing test, Watson beat the top human players on Jeopardy!, WikiLeaks, young professional

Thus, we might have jackets that give their owners small hugs when someone ‘likes’ their Facebook posts,78 or shirts that can measure distance, calories, heart rate, and send data to their wearers’ hand-held devices.79 Internet-enabled watches with graphical user interfaces have been launched, while simpler fitness bracelets with sensors to monitor physical activity are commonplace. For the intrepid, there are ski-goggles that not only protect against the elements but come with a built-in ‘accelerometer, a gyroscope, GPS, and Bluetooth’.80 In the same spirit are optical head-mounted displays, embedded in spectacles, such as Google Glass.81 Why, though, stop at spectacles? Work is afoot on technology that projects directly onto the retina of the eye (the users see objects suspended in the space ahead of them).82 Retinal display hints at yet another kind of embeddedness, one that hit home for us at a recent conference. An octogenarian approached us after a lecture and confided with pleasure, ‘I am now connected to the Internet’.

This suggests that less than 5% of adults are out of reach of the Internet today, which is a smaller percentage than is often presumed. 76 Rose, Enchanted Objects, Adrian McEwen and Hakim Cassimally, Designing the Internet of Things (2014), Daniel Kellmereit and Daniel Obodovski, The Silent Intelligence (2013), and Michael Porter and James Heppelman, ‘How Smart, Connected Products are Transforming Competition’, Harvard Business Review (Nov. 2014), 63–104. 77 Rose, Enchanted Objects, and Porter and Heppelman, ‘How Smart, Connected Products are Transforming Competition’, 76. 78 Rose, Enchanted Objects, 50. 79 Porter and Heppelman, ‘How Smart, Connected Products are Transforming Competition’, Harvard Business Review, 81. 80 Rose, Enchanted Objects, 27. 81 On 15 January 2015 Google announced that it was to stop producing Google Glass as a prototype but that they are still committed to its further development. 82 See e.g. <http://www.magicleap.com>. 83 Marco Iansiti and Karim Lakhani, ‘Digital Ubiquity’, Harvard Business Review (Nov. 2014), 91–9. 84 Gil Press, ‘Internet of Things By The Numbers: Market Estimates and Forecasts’, Forbes, 22 Aug. 2014, and ‘More than 50 Billion Connected Devices’, Ericsson White Paper, Feb. 2011 at <http://www.akos-rs.si/files/Telekomunikacije/Digitalna_agenda/Internetni_protokol_Ipv6/More-than-50-billion-connected-devices.pdf> (accessed 23 March 2015). 85 Discussed in Richard Susskind, The End of Lawyers?


pages: 444 words: 127,259

Super Pumped: The Battle for Uber by Mike Isaac

"side hustle", activist fund / activist shareholder / activist investor, Airbnb, Albert Einstein, always be closing, Amazon Web Services, Andy Kessler, autonomous vehicles, Ayatollah Khomeini, barriers to entry, Bay Area Rapid Transit, Burning Man, call centre, Chris Urmson, Chuck Templeton: OpenTable:, citizen journalism, Clayton Christensen, cloud computing, corporate governance, creative destruction, don't be evil, Donald Trump, Elon Musk, family office, gig economy, Google Glasses, Google X / Alphabet X, high net worth, Jeff Bezos, John Markoff, Kickstarter, Lyft, Marc Andreessen, Mark Zuckerberg, mass immigration, Menlo Park, Mitch Kapor, money market fund, moral hazard, move fast and break things, move fast and break things, Network effects, new economy, off grid, peer-to-peer, pets.com, Richard Florida, ride hailing / ride sharing, Sand Hill Road, self-driving car, shareholder value, side project, Silicon Valley, Silicon Valley startup, skunkworks, Snapchat, software as a service, software is eating the world, South China Sea, South of Market, San Francisco, sovereign wealth fund, special economic zone, Steve Jobs, TaskRabbit, the payments system, Tim Cook: Apple, Travis Kalanick, Uber and Lyft, Uber for X, uber lyft, ubercab, union organizing, upwardly mobile, Y Combinator

The press covered it as the coup it was; with one of Larry Page’s protégés at the helm, Uber was suddenly ready to challenge Google in the race for self-driving cars. “The golden time is over,” Kalanick said in a meeting with a top engineering manager, discussing the deal. “It is war time.” Forty miles south at Google’s campus, executives woke up to news of the acquisition. They were furious. Chapter 18 notes ¶¶¶¶¶ See: Google Glass, the thousand-dollar face computer that flopped magnificently after Google realized it had created a legion of “Glassholes”—people who used the technology to take photos of unsuspecting others. The project didn’t last very long, but ate up hundreds of millions of dollars before it was shuttered. Chapter 19 SMOOTH SAILING Things were going well for Travis Kalanick. It wasn’t that long ago that he had met with the co-founders of Lyft—Logan Green and John Zimmer—to discuss the possibility of a merger.

., 189 Gates, Bill, 37, 67 Gawker, 205 Geidt, Austin, 13, 60–62, 63, 82, 86, 192–93 General Electric, 314, 319 Gicinto, Nick, 257 Gingrich, Newt, 229 Giron, Joe, 156 Glade Brook Capital Partners, 300 Gladwell, Malcolm, 126 Go-Jek, 187 Gold Club, 192 Goldman Sachs, 69, 93, 100, 132 Gomez, Henry, 313 Google, 4–6, 9, 31, 36, 96–99, 99n, 147, 158, 172, 195 as advertising company, 154 “Don’t be evil” mantra of, 76–77, 76n Google Capital, 100 Google Glass, 177n Google Maps, 107, 148 Googleplex, 105, 107, 181 Google Ventures, 98–101, 99n, 105–7, 157, 202, 283, 326 Google X, 105–6, 109–10 Gulfstream V, 178 headquarters of, 105 HR and employees of, 224–26, 333 IPO of, 76–77 self-driving cars and, 105–10, 176–77, 180, 232–35, 233–36 Trump’s election and, 199–200 Gore-Coty, Pierre-Dimitry, 309 GQ magazine, 119, 120, 221 Grab, 148, 150, 187, 258, 259–60, 333 Graf, Daniel, 237, 309 Gramercy Park Hotel, 127, 130 Graves, Molly, 56 Graves, Ryan, 13, 63, 82, 124, 135, 165, 191, 309, 312–13, 321, 324, 341 allegiance to Kalanick, 97, 270–72, 287–88, 299, 301 background of, 54–55 Lyft and, 86 selected to be Uber’s first CEO, 55–59 on Uber’s board, 79–80 Great Recession, 33–34, 132 Green, Logan, 85, 86, 120, 186, 187, 188, 189 Greyball, xvii, xviii, 242–53, 254 Greylock Partners, 74 Groupon, 77 Grubhub, 65 Guadalajara, Mexico, 172–74 Guetta, David, 7 Gurgaon, India, 149–50 Gurley, John, 66 Gurley, John William “Bill,” 14, 69n, 187, 202, 255, 264n, 270, 272, 274, 276, 279, 288n after showdown, 308–10 annoyance with Kalanick, 122–26 attempts to find Kalanick’s replacement and, 314–16, 321 blogging by, 125 confers with spurned investors, 288–89 connects Kalanick and Michael, 93–94 desire for proper corporate governance, 332, 334–35 fundraising and, 92 Grand Bargain and, 326–27, 331 investment talent of, 64–71, 78–80 plan to force Kalanick’s hand, 289–91, 292–306, 292n at SXSW, 125–26 the syndicate and, 282–86, 303–4 on Uber’s board, 79–80 wishes Kalanick well, 299 Gurley, Lucia, 66 Gutmann, Amy, 214–15 H&R Block, 249 Hacker News, 156, 159 Hales, Charlie, xii, xiii Harford, Barney, 331, 331n Harvey, Kevin, 70 Hayes, Rob, 57, 63, 78, 288, 288n, 293 Hazelbaker, Jill, 225, 237, 239, 240 “Heaven,” 156, 259 Heidrick & Struggles, 312–13, 324 “Hell,” 257 Henley, Mat, 178, 259 Hewlett-Packard, 144, 312, 313, 314, 323 Highway 101, 28 Holden, Jeff, 120 Holder, Eric, 224, 225–26, 254, 260, 266, 275, 283 Holder Report, 254, 266, 269–81, 283, 296, 299, 341 Holiday Inn, 265, 266 Hollywood, 9, 24 Holt, Rachel, 237, 309, 331 Holzwarth, Gabi, 179–80, 193, 194, 230, 249–53 “the Homeshow,” 95 Hornsey, Liane, 226, 256 Hourdajian, Nairi, 126–28, 130–131 Houston, Texas, 66 Huffington, Arianna, 127, 238, 256, 287, 289, 301–5, 307, 325 continued support for Kalanick, 270–74 joins board of directors, 226–30 joins Kalanick after his mother’s death, 264–65 release of Holder Report and, 276–80 Huffington, Michael, 228–29 Huffington Post, 229 Hummer Winblad Venture Partners, 65, 70 Hyderabad, India, 149 Ibiza, Spain, 193 ICE, 206 Illinois, 113 IMEI, 154–55, 157 Immelt, Jeff, 313–14, 319, 320–22, 323, 324 InAuth, Inc., 155, 156–57 India, 148–50, 166–67, 187, 203, 257, 259 rape scandal in, 166, 261, 262, 285, 337 taxis and, 148–49 Indonesia, 259–60 The Information, 253 Instacart, 9 Instagram, 9, 74, 96–97, 200, 235 Intel, 35, 193n InterActiveCorp, 307, 320, 333 Internet Explorer, 69 iOS software, 154–55, 157, 159, 162 iPhone, 36–39, 44, 58, 59, 154–55, 157, 160, 163, 176, 218 iPod, 35 Iran, 320 iRide, 113 Isaac, Mike, 127n, 241, 279–80, 280n, 295, 296, 305–6, 339–40 iTunes, 35, 37 Ive, Jonathan, 38 Jacobin, 205, 207 the JamPad, 47–48, 49 Janklow, Mort, 230 Jay-Z, 7–8, 54, 194 Jeopardy!


Science...For Her! by Megan Amram

Albert Einstein, blood diamonds, butterfly effect, crowdsourcing, dark matter, Dmitri Mendeleev, double helix, Google Glasses, Isaac Newton, Kickstarter, Mark Zuckerberg, pez dispenser, Schrödinger's Cat, Steve Jobs, Ted Kaczynski, the scientific method, Wall-E, wikimedia commons

New Year’s Resolutions for Year 3014 * * * Lose fifteen pounds from your problem areas (hips, space-boobs, vestigial face) Spend more time with your government-rationed .452 of a son or daughter Take the family on a trip to www.nature.com Volunteer at your local chapter of the White People Remembrance League (white people have been extinct since 2021; you are an exotic mixture of brown and Asian and Google Glass) Pray to the Mother Goddess Zooey Deschanel, who first displayed her omnipotent god powers at the 2016 People’s Choice Awards by raising Eleanor Roosevelt from the dead and giving her bangs Learn moon-French Vote for Zooey Deschanel in the 3012 People’s Choice Awards as “Best Deity,” “Only Deity,” and “˜*˜Kewlest˜* Bangs” Buy a new Moon Bounce (here on the moon we just call them “Bounces”) Get promoted from “slave to Zooey Deschanel” to “human sacrifice to Zooey Deschanel” (lateral promotion) Organize your thirty-seven space-boobs by type (normal, brown, formal, or Chicago style) I just want to apologize quickly.


pages: 174 words: 56,405

Machine Translation by Thierry Poibeau

AltaVista, augmented reality, call centre, Claude Shannon: information theory, cloud computing, combinatorial explosion, crowdsourcing, easy for humans, difficult for computers, en.wikipedia.org, Google Glasses, information retrieval, Internet of things, Machine translation of "The spirit is willing, but the flesh is weak." to Russian and back, natural language processing, Necker cube, Norbert Wiener, RAND corporation, Robert Mercer, Skype, speech recognition, statistical model, technological singularity, Turing test, wikimedia commons

The Japanese company NTT Docomo has introduced a model of glasses with enhanced vision that incorporates machine translation features: the user can look at a text in Japanese and obtain a translation in English. At the moment, it is just a prototype whose quality and robustness have not been tested, but these examples illustrate the range of applications that exist for both text and speech. Today these gadgets seem to suffer from a lack of interest from the general public, as a result of their high price and their uncertain positioning in terms of applications (Google Glass generated massive media coverage, only to be pulled from the market due to lack of commercial interest). The future of these objects is without a doubt more promising in professional contexts requiring people to work hands-free, for maintenance in particular (such as in the nuclear, aeronautic, and computer science fields). Other professional contexts could also provide opportunities, such as applications in medicine or sales or in the cultural domain (e.g., visits of museums with augmented reality devices).


pages: 177 words: 54,421

Ego Is the Enemy by Ryan Holiday

activist fund / activist shareholder / activist investor, Airbnb, Ben Horowitz, Berlin Wall, Bernie Madoff, Burning Man, delayed gratification, Google Glasses, Jeff Bezos, Joan Didion, Lao Tzu, Paul Graham, Ponzi scheme, Ralph Waldo Emerson, Richard Feynman, side project, South Sea Bubble, Stanford marshmallow experiment, Steve Jobs, Upton Sinclair

These labels put you at odds not just with reality, but with the real strategy that made you successful in the first place. From that place, we might think that success in the future is just the natural next part of the story—when really it’s rooted in work, creativity, persistence, and luck. Certainly Google’s alienation from its own roots (confusing vision and potential with scientific and technological prowess) will cause it to stumble soon enough. It fact, the public failures of projects like Google Glass and Google Plus might be evidence of it already. They’re not alone. Too often, artists who think it was “inspiration” or “pain” that fueled their art and create an image around that—instead of hard work and sincere hustle—will eventually find themselves at the bottom of a bottle or on the wrong end of a needle. The same goes for us, whatever we do. Instead of pretending that we are living some great story, we must remain focused on the execution—and on executing with excellence.


pages: 554 words: 149,489

The Content Trap: A Strategist's Guide to Digital Change by Bharat Anand

Airbnb, Benjamin Mako Hill, Bernie Sanders, Clayton Christensen, cloud computing, commoditize, correlation does not imply causation, creative destruction, crowdsourcing, death of newspapers, disruptive innovation, Donald Trump, Google Glasses, Google X / Alphabet X, information asymmetry, Internet of things, inventory management, Jean Tirole, Jeff Bezos, John Markoff, Just-in-time delivery, Khan Academy, Kickstarter, late fees, Mark Zuckerberg, market design, Minecraft, multi-sided market, Network effects, post-work, price discrimination, publish or perish, QR code, recommendation engine, ride hailing / ride sharing, selection bias, self-driving car, shareholder value, Shenzhen was a fishing village, Silicon Valley, Silicon Valley startup, Skype, social graph, social web, special economic zone, Stephen Hawking, Steve Jobs, Steven Levy, Thomas L Friedman, transaction costs, two-sided market, ubercab, WikiLeaks, winner-take-all economy, zero-sum game

Thrun had been a computer science professor, at Carnegie Mellon and then Stanford, for more than a decade. He specialized in artificial intelligence (AI) and in far-out projects that Google later called “moon shots.” Like many Stanford computer scientists, he was closely involved with Valley start-ups—in his case, Google. Thrun had advised Google since 2007, led its program to develop a driverless car, and started Google X, the lab that developed Google Glass. In 2010 Thrun was about to teach the AI course he offered every fall. But this time he also recorded his lectures and put them online. That would certainly benefit any of his Stanford students who missed a lecture or two. But his real motivation was to make his teaching available to anyone who was interested but would never set foot on Stanford’s campus. Thrun was shocked by what ensued. Within a few weeks about 50,000 online learners from around the world had registered for the course.

a $3 million trial “Khan Academy Resources for Maximizing Mathematics Achievement: A Postsecondary Mathematics Efficacy Study,” Institute of Education Sciences, last modified 2014, accessed March 10, 2016, http://ies.ed.gov/​funding/​grantsearch/​details.asp?ID=1521 . Thrun had been a computer science professor Steven Leckart, “The Stanford Education Experiment Could Change Higher Learning Forever,” Wired , March 20, 2012. Google Glass Max Chafkin, “Udacity’s Sebastian Thrun, Godfather of Free Online Education, Changes Course,” Fast Company , November 14, 2013. “It was this catalytic moment” Ibid. at 411 Ibid.; William J. Bennett, “Is Sebastian Thrun’s Udacity the Future of Higher Education?,” CNN , last modified July 5, 2012, accessed March 10, 2016, http://www.cnn.com/​2012/​07/​05/​opinion/​bennett-udacity-education/ .


pages: 219 words: 61,720

American Made: Why Making Things Will Return Us to Greatness by Dan Dimicco

2013 Report for America's Infrastructure - American Society of Civil Engineers - 19 March 2013, Affordable Care Act / Obamacare, American energy revolution, American Society of Civil Engineers: Report Card, Bakken shale, barriers to entry, Bernie Madoff, carbon footprint, clean water, crony capitalism, currency manipulation / currency intervention, David Ricardo: comparative advantage, decarbonisation, fear of failure, full employment, Google Glasses, hydraulic fracturing, invisible hand, job automation, knowledge economy, laissez-faire capitalism, Loma Prieta earthquake, low earth orbit, manufacturing employment, oil shale / tar sands, Ponzi scheme, profit motive, Report Card for America’s Infrastructure, Ronald Reagan, Silicon Valley, smart grid, smart meter, sovereign wealth fund, The Wealth of Nations by Adam Smith, too big to fail, uranium enrichment, Washington Consensus, Works Progress Administration

But if you want to encourage people to go into business and you think that government’s got all the answers, you risk distorting the system from the get-go. Any business worth getting into—large or small—should be worth getting into without government subsidizing it. Signs of a Renaissance Why are some U.S. companies choosing to come back to America? In March 2013, Google announced it would manufacture its highly anticipated Google Glass in California, though continue to source the device’s parts from Asia. Google didn’t decide to build the wearable computer because of any subsidies the federal or state government may be offering. There are none. Google, like other companies, is coming home because they can better control their intellectual property, and because the revolution in energy is improving America’s comparative advantage.


Demystifying Smart Cities by Anders Lisdorf

3D printing, artificial general intelligence, autonomous vehicles, bitcoin, business intelligence, business process, chief data officer, clean water, cloud computing, computer vision, continuous integration, crowdsourcing, data is the new oil, digital twin, distributed ledger, don't be evil, Elon Musk, en.wikipedia.org, facts on the ground, Google Glasses, income inequality, Infrastructure as a Service, Internet of things, Masdar, microservices, Minecraft, platform as a service, ransomware, RFID, ride hailing / ride sharing, risk tolerance, self-driving car, smart cities, smart meter, software as a service, speech recognition, Stephen Hawking, Steve Jobs, Steve Wozniak, Stuxnet, Thomas Bayes, Turing test, urban sprawl, zero-sum game

Implementing and adapting a real-world system may have too many adversarial effects before it starts to be beneficial. No matter how much we prepare, we can never know exactly how the system will behave at scale until we release it in the wild. For a class of systems that are critical for a city, this risk is unacceptable. The unpredictable human element – With technology in general, it is always unpredictable how people will respond to the solution. Think back on the Google Glass story where Google was completely taken off guard that people could think anything negative about their new and innovative gadget. With artificial intelligence, this unpredictability is exacerbated since the technological solution now has human qualities to it. Some will start relating to it and expecting human and superhuman performance; others will feel uneasy. As we have seen already with autonomous vehicles, it is sure to draw headlines and create its own dynamics.


pages: 239 words: 70,206

Data-Ism: The Revolution Transforming Decision Making, Consumer Behavior, and Almost Everything Else by Steve Lohr

"Robert Solow", 23andMe, Affordable Care Act / Obamacare, Albert Einstein, big data - Walmart - Pop Tarts, bioinformatics, business cycle, business intelligence, call centre, cloud computing, computer age, conceptual framework, Credit Default Swap, crowdsourcing, Daniel Kahneman / Amos Tversky, Danny Hillis, data is the new oil, David Brooks, East Village, Edward Snowden, Emanuel Derman, Erik Brynjolfsson, everywhere but in the productivity statistics, Frederick Winslow Taylor, Google Glasses, impulse control, income inequality, indoor plumbing, industrial robot, informal economy, Internet of things, invention of writing, Johannes Kepler, John Markoff, John von Neumann, lifelogging, Mark Zuckerberg, market bubble, meta analysis, meta-analysis, money market fund, natural language processing, obamacare, pattern recognition, payday loans, personalized medicine, precision agriculture, pre–internet, Productivity paradox, RAND corporation, rising living standards, Robert Gordon, Second Machine Age, self-driving car, Silicon Valley, Silicon Valley startup, six sigma, skunkworks, speech recognition, statistical model, Steve Jobs, Steven Levy, The Design of Experiments, the scientific method, Thomas Kuhn: the structure of scientific revolutions, unbanked and underbanked, underbanked, Von Neumann architecture, Watson beat the top human players on Jeopardy!

In an industrial setting, contextual computing means gathering and analyzing data to give a machine’s human minders a view of its health, its history, and its surroundings—the context in which the machine is operating. Predix is intended as an intelligent assistant that sifts through data on a particular machine to, say, alert a plant engineer that a gas turbine needs preventive maintenance—a heads-up prediction that the turbine is heading for a breakdown. It is the industrial machinery equivalent to Google Now, a predictive search service for mobile devices, including Google glasses, that presents driving directions, recommendations for nearby restaurants, sports scores for teams you follow, based on your location, your interests, and what you’ve done in the past—the context of your life. GE wants to push contextual computing in the machine world to another dimension. Most of the current focus has been on gathering data from machines to learn about them—to reduce lost operating time by applying data-driven preventive maintenance.


PostgreSQL Cookbook by Chitij Chauhan

database schema, Debian, fault tolerance, GnuPG, Google Glasses, index card

Sergio Martínez-Losa Del Rincón is a computer engineer who loves programming languages since the time he was in high school, where he learned about programming and computer interactions. He is always learning and discovers something new to learn everyday. He likes all kind of programming languages, but he focuses his efforts on mobile development with native languages, such as Objective-C (iPhone), Java (Android), and Xamarin (C#). He builds Google Glass applications as well as mobile applications for iPhone and Android devices at work. He also develops games for mobile devices with cocos2d-x and cocos2d. He likes cross-platform applications as well. He has reviewed Learning Xamarin Studio, Packt Publishing. He loves challenging problems, and he is always keen to work with new technologies. More information about his experience and details can be found at www.linkedin.com/in/sergiomtzlosa.


pages: 246 words: 70,404

Come and Take It: The Gun Printer's Guide to Thinking Free by Cody Wilson

3D printing, 4chan, active measures, Airbnb, airport security, Any sufficiently advanced technology is indistinguishable from magic, assortative mating, bitcoin, Chelsea Manning, disintermediation, fiat currency, Google Glasses, gun show loophole, jimmy wales, lifelogging, Mason jar, means of production, Menlo Park, Minecraft, national security letter, New Urbanism, peer-to-peer, Peter Thiel, Richard Stallman, ride hailing / ride sharing, Skype, thinkpad, WikiLeaks, working poor

I woke near one a.m. that night, hearing Varol in his room speaking to someone on Skype. “Yeah, but he’s got great verbal intelligence. I think we need to back this guy.” * * * I was invited to a tech meet-up in a misty din downtown. There I met a young, well-dressed economic minister from the Netherlands. “What do you do?” “Bitcoin,” I answered. “I have a bitcoin project.” Tonight’s was a series of timed demonstrations of Google Glass. The first players—contestants?—on the stage showed real-time social networking. You walk into the bar wearing the glasses and scan the crowd, finding thumbnail profiles of interest, potential romantic matches. They broke down the tech quickly. After a couple more presentations came an awkward wunderkind. He spoke and moved in a way that said he assumed we’d all seen him before, that we were all familiars who’d indulge or, at the very least, forgive him.


pages: 281 words: 71,242

World Without Mind: The Existential Threat of Big Tech by Franklin Foer

artificial general intelligence, back-to-the-land, Berlin Wall, big data - Walmart - Pop Tarts, big-box store, Buckminster Fuller, citizen journalism, Colonization of Mars, computer age, creative destruction, crowdsourcing, data is the new oil, don't be evil, Donald Trump, Double Irish / Dutch Sandwich, Douglas Engelbart, Edward Snowden, Electric Kool-Aid Acid Test, Elon Musk, Fall of the Berlin Wall, Filter Bubble, global village, Google Glasses, Haight Ashbury, hive mind, income inequality, intangible asset, Jeff Bezos, job automation, John Markoff, Kevin Kelly, knowledge economy, Law of Accelerating Returns, Marc Andreessen, Mark Zuckerberg, Marshall McLuhan, means of production, move fast and break things, move fast and break things, new economy, New Journalism, Norbert Wiener, offshore financial centre, PageRank, Peace of Westphalia, Peter Thiel, planetary scale, Ray Kurzweil, self-driving car, Silicon Valley, Singularitarianism, software is eating the world, Steve Jobs, Steven Levy, Stewart Brand, strong AI, supply-chain management, the medium is the message, the scientific method, The Wealth of Nations by Adam Smith, The Wisdom of Crowds, Thomas L Friedman, Thorstein Veblen, Upton Sinclair, Vernor Vinge, Whole Earth Catalog, yellow journalism

They want to wake us in the morning, have their artificial intelligence software guide us through the day, and never quite leave our sides. They aspire to become the repository for precious and private items, our calendar and contacts, our photos and documents. They intend for us to unthinkingly turn to them for information and entertainment, while they build unabridged catalogs of our intentions and aversions. Google Glass and the Apple Watch prefigure the day when these companies implant their artificial intelligence within our bodies. More than any previous coterie of corporations, the tech monopolies aspire to mold humanity into their desired image of it. They believe that they have the opportunity to complete the long merger between man and machine—to redirect the trajectory of human evolution. How do I know this?


How Emotions Are Made: The Secret Life of the Brain by Lisa Feldman Barrett

airport security, Albert Einstein, Albert Michelson, Drosophila, en.wikipedia.org, epigenetics, framing effect, Google Glasses, Isaac Newton, longitudinal study, luminiferous ether, meta analysis, meta-analysis, phenotype, placebo effect, randomized controlled trial, Shai Danziger, Skype, Steven Pinker, the scientific method, theory of mind, Thomas Kuhn: the structure of scientific revolutions

And we are all the poorer for it, considering how much time and money are being wasted today in pursuit of illusory emotion essences. At press time, Microsoft is analyzing facial photographs in an attempt to recognize emotion. Apple has recently purchased Emotient, a startup company using artificial intelligence techniques in an effort to detect emotion in facial expressions. Companies are programming Google Glass ostensibly to detect emotion in facial expressions in an effort to help autistic children. Politicians in Spain and Mexico are engaging in so-called neuropolitics to discern voter preferences from their facial expressions. Some of the most pressing questions about emotion remain unanswered, and important questions remain obscured, because many businesses and scientists continue practicing essentialism while the rest of us are figuring out how emotions are made.38 It’s hard to give up the classical view when it represents deeply held beliefs about what it means to be human.

., 97 gender stereotypes, 226–28, 246 Gendron, Maria, 48 genes, 23, 111, 143, 154–56, 170, 288–89, 385–86 n7 gestures, 51 getting along vs. getting ahead, 144, 280, 283, 315 gezellig, 38, 105 Gilbert, Daniel T., 315 giving and body budgeting, 179 goal-based categories, 98–99 goal-based concepts, 90–92, 91, 258, 262, 263 goals, and learning emotion concepts, 101 Goleman, Daniel, 81, 179–80 Google Glass, 173 Gopnik, Alison, 113 Grandin, Temple, 215 gratitude, 179 Greene, Joshua, 169 grief, 269–70 “gross foods” birthday party, 27 guinea pigs, 254 Gulf War, xiv, 54 Gulf War Syndrome, 242 gut feelings, 75, 377 n44 H Hadza, 53 hallucinations, 26 happiness, perception of, 51 harm, emotional, 240–43, 250–51 Harris, Paul, 149 Haytham, Ibn al-, 169 health anxiety, 212–14 autism, 215–16 body budget and, 198, 216 chronic pain, 190, 207–9, 241–42, 393 n21, 395 n39 depression, 78, 209–12, 213–14 emotion concepts, 198 emotional granularity, 181, 203 illness, 199, 200–203, 216 lifestyle, 176–86 pain, 190, 205–9, 241-42, 392 n16, 393 nn21–24 stress, 203–5 heat-of-passion defense, 221–22, 225, 226 Heider, Fritz, 272 Heider-Simmel video, 272, 272 helicopter example, 76 Hendler, Talma, 318 Heraclitus, 32, 168–69 Higashida, Naoki, 215–16 Himba, 47–50, 53, 372 n14, 373 n17, 384 n24 Hjortsjö, Carl-Herman, 367 n11 holism, 37–38 Holmes, James, 240 homo economicus, 80–81 Hox genes, 371 n15 hubs in the brain, 124–25 human nature, 152, 157, 164–70, 220, 244, 248, 276 humanity, and legal system, 240 I idea.


pages: 260 words: 76,223

Ctrl Alt Delete: Reboot Your Business. Reboot Your Life. Your Future Depends on It. by Mitch Joel

3D printing, Amazon Web Services, augmented reality, call centre, clockwatching, cloud computing, Firefox, future of work, ghettoisation, Google Chrome, Google Glasses, Google Hangouts, Khan Academy, Kickstarter, Kodak vs Instagram, Lean Startup, Marc Andreessen, Mark Zuckerberg, Network effects, new economy, Occupy movement, place-making, prediction markets, pre–internet, QR code, recommendation engine, Richard Florida, risk tolerance, self-driving car, Silicon Valley, Silicon Valley startup, Skype, social graph, social web, Steve Jobs, Steve Wozniak, Thomas L Friedman, Tim Cook: Apple, Tony Hsieh, white picket fence, WikiLeaks, zero-sum game

Instagram started out as a very derivative copy of foursquare before switching its focus to mobile photos with a social edge. Google continues to fascinate as the search engine expands into areas like online video (YouTube), mobile (Android and the Nexus line of devices), email services (Gmail), Web browsers (Google Chrome), online social networking (Google+), and beyond (self-driving cars and Google Glasses). Amazon continues to squiggle by pushing beyond selling books online into e-readers (Kindle), selling shoes (Zappos), offering cloud computing technology (Amazon Web Services), and beyond. When you actually start digging down deep into how these companies have evolved and stayed relevant, you won’t see business models that look like anything from the playbooks of Kodak or RIM. These organizations are in a constant state of rebooting with teams of people who are actively guiding their own careers as they squiggle.


pages: 280 words: 79,029

Smart Money: How High-Stakes Financial Innovation Is Reshaping Our WorldÑFor the Better by Andrew Palmer

Affordable Care Act / Obamacare, algorithmic trading, Andrei Shleifer, asset-backed security, availability heuristic, bank run, banking crisis, Black-Scholes formula, bonus culture, break the buck, Bretton Woods, call centre, Carmen Reinhart, cloud computing, collapse of Lehman Brothers, collateralized debt obligation, computerized trading, corporate governance, credit crunch, Credit Default Swap, credit default swaps / collateralized debt obligations, Daniel Kahneman / Amos Tversky, David Graeber, diversification, diversified portfolio, Edmond Halley, Edward Glaeser, endogenous growth, Eugene Fama: efficient market hypothesis, eurozone crisis, family office, financial deregulation, financial innovation, fixed income, Flash crash, Google Glasses, Gordon Gekko, high net worth, housing crisis, Hyman Minsky, implied volatility, income inequality, index fund, information asymmetry, Innovator's Dilemma, interest rate swap, Kenneth Rogoff, Kickstarter, late fees, London Interbank Offered Rate, Long Term Capital Management, longitudinal study, loss aversion, margin call, Mark Zuckerberg, McMansion, money market fund, mortgage debt, mortgage tax deduction, Myron Scholes, negative equity, Network effects, Northern Rock, obamacare, payday loans, peer-to-peer lending, Peter Thiel, principal–agent problem, profit maximization, quantitative trading / quantitative finance, railway mania, randomized controlled trial, Richard Feynman, Richard Thaler, risk tolerance, risk-adjusted returns, Robert Shiller, Robert Shiller, short selling, Silicon Valley, Silicon Valley startup, Skype, South Sea Bubble, sovereign wealth fund, statistical model, Thales of Miletus, transaction costs, Tunguska event, unbanked and underbanked, underbanked, Vanguard fund, web application

Once registered, investors can browse the site looking at all manner of ideas to change the world and scrutinizing the entrepreneurs behind them. The selection of companies is eclectic, though predominantly geared toward consumers. On the occasions I browsed Crowdcube, I came across firms such as Tabbit, which was touting a smartphone app enabling people to order drinks without having to line up at the bar; GlassFit, a fitness app for Google Glass that aimed to make exercise fun by, for example, showing an avatar up ahead that you can try to overtake; and Castle Three Motoring Company, which manufactured three-wheeled sports cars. Investors can see videos of the founders and their products, read descriptions of the companies, request business plans, and conduct Q&A sessions with the entrepreneurs. The quality of questioning and feedback was pretty high.


pages: 345 words: 75,660

Prediction Machines: The Simple Economics of Artificial Intelligence by Ajay Agrawal, Joshua Gans, Avi Goldfarb

"Robert Solow", Ada Lovelace, AI winter, Air France Flight 447, Airbus A320, artificial general intelligence, autonomous vehicles, basic income, Bayesian statistics, Black Swan, blockchain, call centre, Capital in the Twenty-First Century by Thomas Piketty, Captain Sullenberger Hudson, collateralized debt obligation, computer age, creative destruction, Daniel Kahneman / Amos Tversky, data acquisition, data is the new oil, deskilling, disruptive innovation, Elon Musk, en.wikipedia.org, Erik Brynjolfsson, everywhere but in the productivity statistics, Google Glasses, high net worth, ImageNet competition, income inequality, information retrieval, inventory management, invisible hand, job automation, John Markoff, Joseph Schumpeter, Kevin Kelly, Lyft, Minecraft, Mitch Kapor, Moneyball by Michael Lewis explains big data, Nate Silver, new economy, On the Economy of Machinery and Manufactures, pattern recognition, performance metric, profit maximization, QWERTY keyboard, race to the bottom, randomized controlled trial, Ray Kurzweil, ride hailing / ride sharing, Second Machine Age, self-driving car, shareholder value, Silicon Valley, statistical model, Stephen Hawking, Steve Jobs, Steven Levy, strong AI, The Future of Employment, The Signal and the Noise by Nate Silver, Tim Cook: Apple, Turing test, Uber and Lyft, uber lyft, US Airways Flight 1549, Vernor Vinge, Watson beat the top human players on Jeopardy!, William Langewiesche, Y Combinator, zero-sum game

See, for example, the thousands of citations to C. S. Elton, The Ecology of Invasions by Animals and Plants (New York: John Wiley, 1958). 10. Based on discussions with University of Waterloo dean Pearl Sullivan, professor Alexander Wong, and other Waterloo professors on November 20, 2016. 11. There is a fourth benefit to prediction on the ground: sometimes it is necessary for practical purposes. For instance, Google Glass needed to be able to determine whether an eyelid movement was a blink (nonintentional) or a wink (intentional), with the latter being a means by which the device could be controlled. Because of the speed with which that determination needed to be made, sending the data to the cloud and waiting for an answer was impractical. The prediction machine needed to be hosted in the device. 12. Ryan Singel, “Google Catches Bing Copying; Microsoft Says ‘So What?’”


pages: 270 words: 79,068

The Hard Thing About Hard Things: Building a Business When There Are No Easy Answers by Ben Horowitz

Airbnb, Ben Horowitz, business intelligence, cloud computing, financial independence, Google Glasses, hiring and firing, Isaac Newton, Jeff Bezos, Marc Andreessen, Mark Zuckerberg, move fast and break things, move fast and break things, new economy, nuclear winter, Peter Thiel, Productivity paradox, random walk, Ronald Reagan, Silicon Valley, six sigma, Steve Ballmer, Steve Jobs

In fact, other than the books written by Andy Grove, I don’t know of any management books that teach you how to manage in wartime like Steve Jobs or Andy Grove. BACK TO THE BEGINNING It turned out that a little wartime was just what the doctor ordered for Google. Page’s precise and exacting leadership has led to brilliant execution in integrating identity across Google’s broad product line, from the rise of Android to brilliant new products like Google Glass. Sometimes you need to go to war. MAKING YOURSELF A CEO The other day, a friend of mine asked me whether CEOs were born or made. I said, “That’s kind of like asking if Jolly Ranchers are grown or made. CEO is an unnatural job.” The surprised look on his face made me realize that perhaps it wasn’t as obvious as I’d originally thought. Most people actually assume the opposite—CEOs are born, not made.


pages: 720 words: 197,129

The Innovators: How a Group of Inventors, Hackers, Geniuses and Geeks Created the Digital Revolution by Walter Isaacson

1960s counterculture, Ada Lovelace, AI winter, Alan Turing: On Computable Numbers, with an Application to the Entscheidungsproblem, Albert Einstein, AltaVista, Apple II, augmented reality, back-to-the-land, beat the dealer, Bill Gates: Altair 8800, bitcoin, Bob Noyce, Buckminster Fuller, Byte Shop, c2.com, call centre, citizen journalism, Claude Shannon: information theory, Clayton Christensen, commoditize, computer age, crowdsourcing, cryptocurrency, Debian, desegregation, Donald Davies, Douglas Engelbart, Douglas Engelbart, Douglas Hofstadter, Dynabook, El Camino Real, Electric Kool-Aid Acid Test, en.wikipedia.org, Firefox, Google Glasses, Grace Hopper, Gödel, Escher, Bach, Hacker Ethic, Haight Ashbury, Howard Rheingold, Hush-A-Phone, HyperCard, hypertext link, index card, Internet Archive, Jacquard loom, Jaron Lanier, Jeff Bezos, jimmy wales, John Markoff, John von Neumann, Joseph-Marie Jacquard, Leonard Kleinrock, Marc Andreessen, Mark Zuckerberg, Marshall McLuhan, Menlo Park, Mitch Kapor, Mother of all demos, new economy, New Journalism, Norbert Wiener, Norman Macrae, packet switching, PageRank, Paul Terrell, pirate software, popular electronics, pre–internet, RAND corporation, Ray Kurzweil, RFC: Request For Comment, Richard Feynman, Richard Stallman, Robert Metcalfe, Rubik’s Cube, Sand Hill Road, Saturday Night Live, self-driving car, Silicon Valley, Silicon Valley startup, Skype, slashdot, speech recognition, Steve Ballmer, Steve Crocker, Steve Jobs, Steve Wozniak, Steven Levy, Steven Pinker, Stewart Brand, technological singularity, technoutopianism, Ted Nelson, The Coming Technological Singularity, The Nature of the Firm, The Wisdom of Crowds, Turing complete, Turing machine, Turing test, Vannevar Bush, Vernor Vinge, Von Neumann architecture, Watson beat the top human players on Jeopardy!, Whole Earth Catalog, Whole Earth Review, wikimedia commons, William Shockley: the traitorous eight

To switch or not to switch? That is the question: Whether ’tis wiser in the net to suffer The store and forward of stochastic networks, Or to raise up circuits against a sea of packets, And by dedication serve them?107 A generation later, in 2014, Cerf was working at Google in Washington, DC, still enjoying himself and marveling at the wonders they had wrought by creating the Internet. Wearing Google Glass, he noted that every year brings something new. “Social networks—I joined Facebook as an experiment—business apps, mobile, new things keep piling onto the Internet,” he said. “It has scaled up a million times over. Not many things can do that without breaking. And yet those old protocols we created are doing just fine.”108 NETWORKED CREATIVITY So who does deserve the most credit for inventing the Internet?

Presper, ref1, ref2, ref3, ref4, ref5, ref6, ref7, ref8, ref9, ref10, ref11, ref12, ref13, ref14, ref15, ref16, ref17, ref18 patents sought by, ref1, ref2 and public display of ENIAC, ref1 and storage of programs in ENIAC, ref1, ref2 von Neumann accused of stealing ideas by, ref1 Eckert-Mauchly Computer Corporation, ref1 Edison, Thomas, ref1, ref2 EDSAC, ref1 EDVAC, ref1, ref2, ref3, ref4 Edwards, Dan, ref1, ref2 Edwards, Elwood, ref1 Einstein, Albert, ref1, ref2, ref3, ref4, ref5, ref6, ref7 Eisenhower, Dwight, ref1, ref2, ref3, ref4, ref5, ref6 electrical circuits, ref1, ref2, ref3 needed to break German codes, ref1, ref2 electricity, ref1 Electric Kool-Aid Acid Test, The (Wolfe), ref1, ref2 Electronic Discrete Variable Automatic Calculator, see EDVAC Electronic Engineering Times, ref1 Electronic News, ref1, ref2 Electronics, ref1 Electronics Magazine, ref1 electrons, ref1, ref2, ref3, ref4 Elkind, Jerry, ref1, ref2 Elwell, Cyril, ref1 email, ref1 Emsworth, Lord, ref1 Encyclopedia Britannica, ref1 Engelbart, Doug, ref1, ref2, ref3, ref4, ref5, ref6, ref7, ref8, ref9, ref10, ref11, ref12, ref13, ref14, ref15, ref16, ref17, ref18, ref19, ref20 on human-machine interaction, ref1, ref2, ref3, ref4, ref5, ref6, ref7 English, Bill, ref1, ref2, ref3 ENIAC, ref1, ref2, ref3, ref4, ref5, ref6, ref7, ref8, ref9 decimal system used by, ref1 as first modern computer, ref1, ref2 hydrogen bomb equations worked out by, ref1 patents for work on, ref1, ref2, ref3, ref4 public unveiling of, ref1 speed of, ref1, ref2 storage of programs in, ref1, ref2 update of, ref1 women as programmers of, ref1, ref2 Enigma, ref1 Enlightenment, ref1 Enquire, ref1 Enquire Within Upon Everything, ref1, ref2, ref3, ref4 Entscheidungsproblem, ref1, ref2, ref3, ref4 Esquire, ref1, ref2, ref3 Estridge, Don, ref1 Eternal September, ref1, ref2 Ethernet, ref1, ref2n, ref3 Euclidean geometry, ref1 Eudora, ref1 Evans, David, ref1, ref2 Evans, Kent, ref1, ref2 EvHead, ref1 Excite, ref1, ref2 Expensive Planetarium, ref1 Eyser, George, ref1 Facebook, ref1, ref2, ref3, ref4 Fairchild, Sherman, ref1, ref2 Fairchild Camera and Instrument, ref1, ref2, ref3 Fairchild Semiconductor, ref1, ref2, ref3, ref4 formation of, ref1, ref2 microchips sold to weapons makers by, ref1 Noyce’s resignation from, ref1 Farnsworth, Philo, ref1 Federal Communications Commission, ref1 Felsenstein, Lee, ref1, ref2, ref3, ref4, ref5, ref6, ref7, ref8, ref9, ref10, ref11 Ferranti, ref1 Ferranti Mark I, ref1 Ferrucci, David, ref1 Feynman, Richard, ref1 file sharing, ref1 Filo, David, ref1 Firefox, ref1, ref2, ref3 “First Draft of a Report on the EDVAC, by John von Neumann,” ref1 Fischer, Dave, ref1 Flowers, Tommy, ref1, ref2, ref3, ref4 influence of, ref1 “Fool on the Hill, The,” ref1 formal systems of mathematics, ref1 Fortran, ref1, ref2, ref3, ref4 Fortune, ref1, ref2, ref3 Frankenstein, or The Modern Prometheus (Shelley), ref1, ref2, ref3 Franklin, Benjamin, ref1, ref2, ref3, ref4 Frankston, Bob, ref1 Free Software Foundation, ref1 Free Speech Movement, ref1, ref2, ref3 French, Gordon, ref1, ref2 French Revolution, ref1 Fuchs, Klaus, ref1, ref2 Fulghum, Robert, ref1 Fuller, Buckminster, ref1, ref2, ref3, ref4 Fylstra, Dan, ref1 Galaxy Games, ref1 Gale, Grant, ref1 Galison, Peter, ref1 GameLine, ref1, ref2 Garcia, Jerry, ref1 Gates, Bill, ref1, ref2, ref3, ref4, ref5, ref6, ref7, ref8, ref9, ref10, ref11, ref12, ref13, ref14, ref15, ref16, ref17, ref18 Allen’s disputes with, ref1, ref2, ref3, ref4, ref5 background of, ref1 BASIC for Altair designed by, ref1, ref2 BASIC learned by, ref1 belief of, in future of personal computer, ref1 copyright issues and, ref1, ref2, ref3 8008 language written by, ref1 electronic grid work of, ref1 Evans’s death and, ref1, ref2 at Harvard, ref1, ref2 innovator personality of, ref1 Jobs’s dispute with, ref1 Lakeside Programming Group formed by, ref1 operating system and, ref1, ref2 payroll program written by, ref1, ref2 PDP-10 work of, ref1 programming’s importance seen by, ref1 on reverse-engineering brain, ref1 Gates, Mary, ref1 Gatlinburg conference, ref1, ref2, ref3 General Electric (GE), ref1, ref2 General Post Office, ref1 general-purpose machines, ref1, ref2, ref3, ref4, ref5, ref6, ref7, ref8, ref9, ref10 Engelbert’s foreseeing of, ref1 see also memex General Relativity, ref1, ref2 geometry, ref1 germanium, ref1 Germany, codes of, ref1, ref2, ref3 Gertner, Jon, ref1, ref2 Gibson, William, ref1 Gingrich, Newt, ref1 Ginsberg, Allen, ref1 GNU, ref1 GNU/Linux, ref1, ref2, ref3, ref4, ref5, ref6 Go, ref1 Gödel, Escher, Bach (Hofstadter), ref1 Gödel, Kurt, ref1, ref2, ref3, ref4, ref5 gold, ref1 Goldberg, Adele, ref1 Goldstine, Adele, ref1, ref2, ref3, ref4 Goldstine, Herman, ref1, ref2, ref3, ref4, ref5, ref6, ref7, ref8 von Neumann’s first meeting with, ref1 Google, ref1, ref2, ref3, ref4, ref5, ref6, ref7 creation of, ref1, ref2, ref3 lawsuits of, ref1 page ranks of, ref1 self-driving cars of, ref1 Google Glass, ref1 Gopher, ref1 Gore, Al, ref1, ref2 Gore Act (1991), ref1, ref2, ref3 government funding, ref1, ref2, ref3 see also ARPANET Graetz, Martin, ref1, ref2 Gran Trak 10, ref1 graphic user interface, ref1, ref2 Grateful Dead, ref1, ref2, ref3 “Great Conversation, The” (Cerf), ref1 Greeks, ref1 Greening of America, The (Reich), ref1 Greig, Woronzow, ref1 Grinnell College, ref1, ref2, ref3 Grove, Andy, ref1, ref2, ref3, ref4, ref5 management techniques of, ref1, ref2 hackers, ref1, ref2, ref3, ref4, ref5, ref6, ref7, ref8 Hackers (Levy), ref1, ref2 Hafner, Katie, ref1, ref2, ref3 Haggerty, Pat, ref1, ref2, ref3 idea for calculator of, ref1 Hall, Justin, ref1, ref2, ref3, ref4, ref5, ref6 halting problem, ref1 Hambrecht & Quist, ref1, ref2 harmonic synthesizer, ref1 Hartree, Douglas, ref1 Harvard University, ref1, ref2, ref3, ref4, ref5, ref6, ref7, ref8 Hayden, Stone & Co., ref1, ref2 Hayes Smartmodem, ref1 Heart, Frank, ref1 “Heath Robinson,” ref1 Heinlein, Robert, ref1, ref2 Hells Angel, ref1 Hennessy, John, ref1 Herschel, John, ref1 Hertzfeld, Andy, ref1 Herzfeld, Charles, ref1, ref2, ref3 Hewlett, William, ref1, ref2, ref3, ref4 Hewlett-Packard, ref1, ref2, ref3, ref4, ref5, ref6, ref7, ref8 High Performance Computing Act (1991), ref1, ref2 Higinbotham, William, ref1 Hilbert, David, ref1, ref2, ref3, ref4, ref5, ref6 Hiltzik, Michael, ref1 Hingham Institute Study Group, ref1 hippies, ref1, ref2, ref3, ref4, ref5 Hiroshima, ref1n His Majesty’s Government Code and Cypher School, ref1 Hitler, Adolf, ref1, ref2 Hoddeson, Lillian, ref1 Hodges, Andrew, ref1 Hoefler, Don, ref1 Hoerni, Jean, ref1, ref2, ref3, ref4 Hoff, Ted, ref1, ref2 Hofstadter, Douglas, ref1 Holberton, Betty Snyder, see Snyder, Betty Hollerith, Herman, ref1, ref2 Homebrew Computer Club, ref1, ref2, ref3, ref4, ref5, ref6, ref7, ref8, ref9, ref10 Home Terminal Club, ref1 Honeywell, ref1, ref2, ref3, ref4 Hoover Dam, ref1 Hopper, Grace, ref1, ref2, ref3, ref4, ref5, ref6, ref7, ref8 communication skills of, ref1, ref2 on ENIAC’s lack of programmability, ref1 hired at Eckert-Mauchley, ref1 subroutines perfected by, ref1 Hopper, Vincent, ref1 HotWired, ref1 HotWired.com, ref1 Hourihan, Meg, ref1 House, David, ref1 House of Lords, ref1, ref2 Huffington, Arianna, ref1 Huffington Post, ref1 Human Brain Project, ref1 Human-Computer Interaction Group, ref1 human-machine interaction, ref1, ref2, ref3, ref4, ref5, ref6, ref7, ref8, ref9, ref10, ref11, ref12, ref13, ref14, ref15, ref16 Hush-A-Phone case, ref1 hydrogen bomb, ref1, ref2 HyperCard, ref1 hypertext, ref1, ref2 limitation of, ref1 Hypertext Markup Language (HTML), ref1, ref2, ref3, ref4 Hypertext Transfer Protocol (HTTP), ref1 IAS Machine, ref1 IBM, ref1, ref2, ref3, ref4, ref5, ref6, ref7, ref8, ref9, ref10, ref11, ref12, ref13, ref14, ref15, ref16, ref17 dress code at, ref1 founding of, ref1 Gates’s deal with, ref1 Jobs’s criticism of, ref1 Mark I history of, ref1, ref2 Mark I of, ref1, ref2, ref3, ref4 IBM 704, ref1 IBM 1401, ref1 Idea Factory, The (Gertner), ref1 Illich, Ivan, ref1, ref2 imitation game, ref1 incompleteness theorem, ref1, ref2 indeterminacy, ref1 individualism, ref1 Industrial Revolution, ref1, ref2, ref3, ref4, ref5 two grand concepts of, ref1 Infocast, ref1 Information Processing Techniques Office (IPTO), ref1, ref2, ref3, ref4, ref5 Information Sciences, Inc.


pages: 275 words: 84,418

Dogfight: How Apple and Google Went to War and Started a Revolution by Fred Vogelstein

Apple II, Ben Horowitz, cloud computing, commoditize, disintermediation, don't be evil, Dynabook, Firefox, Google Chrome, Google Glasses, Googley, John Markoff, Jony Ive, Marc Andreessen, Mark Zuckerberg, Peter Thiel, pre–internet, Silicon Valley, Silicon Valley startup, Skype, software patent, spectrum auction, Steve Ballmer, Steve Jobs, Steve Wozniak, Steven Levy, Tim Cook: Apple, web application, zero-sum game

When it’s rolled out, Google says, you’ll be able to ask your laptop, smartphone, or tablet anything—and it will respond accurately. The improvements made Siri, Apple’s voice-command technology in the iPhone, seem quaint. In August 2013 it unveiled its first Motorola smartphone. Even the products Google had no intention of selling immediately were generating enormous buzz. It demonstrated that its driverless-car software actually works. It showed that Google Glass—a computer in a pair of eyeglasses—may indeed fuse man and his machine. It’s tempting to predict that it’s only a matter of time before Apple comes back with its own new revolutionary device. Certainly that’s how the competition between the two has been up until now. What’s unclear is whether Apple can do it without Jobs at the helm. Apple certainly encouraged investors to feel as if this question had been answered when its stock and profits skyrocketed after Jobs’s death.


pages: 297 words: 84,009

Big Business: A Love Letter to an American Anti-Hero by Tyler Cowen

23andMe, Affordable Care Act / Obamacare, augmented reality, barriers to entry, Bernie Sanders, bitcoin, blockchain, Bretton Woods, cloud computing, cognitive dissonance, corporate governance, corporate social responsibility, correlation coefficient, creative destruction, crony capitalism, cryptocurrency, dark matter, David Brooks, David Graeber, don't be evil, Donald Trump, Elon Musk, employer provided health coverage, experimental economics, Filter Bubble, financial innovation, financial intermediation, global reserve currency, global supply chain, Google Glasses, income inequality, Internet of things, invisible hand, Jeff Bezos, late fees, Mark Zuckerberg, mobile money, money market fund, mortgage debt, Network effects, new economy, Nicholas Carr, obamacare, offshore financial centre, passive investing, payday loans, peer-to-peer lending, Peter Thiel, pre–internet, price discrimination, profit maximization, profit motive, RAND corporation, rent-seeking, reserve currency, ride hailing / ride sharing, risk tolerance, Ronald Coase, shareholder value, Silicon Valley, Silicon Valley startup, Skype, Snapchat, Social Responsibility of Business Is to Increase Its Profits, Steve Jobs, The Nature of the Firm, Tim Cook: Apple, too big to fail, transaction costs, Tyler Cowen: Great Stagnation, ultimatum game, WikiLeaks, women in the workforce, World Values Survey, Y Combinator

Perhaps the value proposition here remains uncertain, but it is a bold attempt to create a better and more connected living situation for some of the world’s more vulnerable people. It does seem that the technology works, though at what cost or sustainability we do not yet know. The work of Google and Alphabet on robotics also has not yet shown a real payoff, as far as outsiders can tell. Even some of Google’s failures will likely prove to be of use. Google Glass, the wearable device intended to integrate a goggles experience with internet access and viewing, failed. Still, this was a learning step in the broader development of wearable devices and a stepping-stone for others, or maybe Google/Alphabet itself, to build on. Google significantly upgraded YouTube after buying the company. At the time, it was considered a very risky purchase, and many commentators suggested that Google was crazy to pay $1.65 billion for a company that, at the time, had very little revenue.


pages: 276 words: 81,153

Outnumbered: From Facebook and Google to Fake News and Filter-Bubbles – the Algorithms That Control Our Lives by David Sumpter

affirmative action, Bernie Sanders, correlation does not imply causation, crowdsourcing, don't be evil, Donald Trump, Elon Musk, Filter Bubble, Google Glasses, illegal immigration, Jeff Bezos, job automation, Kenneth Arrow, Loebner Prize, Mark Zuckerberg, meta analysis, meta-analysis, Minecraft, Nate Silver, natural language processing, Nelson Mandela, p-value, prediction markets, random walk, Ray Kurzweil, Robert Mercer, selection bias, self-driving car, Silicon Valley, Skype, Snapchat, speech recognition, statistical model, Stephen Hawking, Steven Pinker, The Signal and the Noise by Nate Silver, traveling salesman, Turing test

We weren’t disappointed. Their offices were at a well-appointed address on Buckingham Palace Road, where there were large Lego structures in the lobby and fridges stuffed full of health drinks and superfoods. The ‘Googlers’, which was how they referred to themselves, were clearly very proud of their surroundings. I asked some of the Googlers what the company was up to now. I had heard about the self-driving cars, Google Glass and contact lenses, the drones delivering packages to our door, and the idea of injecting nanoparticles into our bodies to detect disease, and I wanted to know more about the rumours. But the Googlers were cagey. After a run of bad publicity about the company becoming an over-creative hub for crazy ideas, the policy was to stop telling the outside world too much about what it was up to. Google’s head of advanced technology projects at the time, Regina Dugan, had previously held the same position at the American government’s Defense Advanced Research Projects Agency (DARPA).


pages: 301 words: 89,076

The Globotics Upheaval: Globalisation, Robotics and the Future of Work by Richard Baldwin

agricultural Revolution, Airbnb, AltaVista, Amazon Web Services, augmented reality, autonomous vehicles, basic income, business process, business process outsourcing, call centre, Capital in the Twenty-First Century by Thomas Piketty, Cass Sunstein, commoditize, computer vision, Corn Laws, correlation does not imply causation, Credit Default Swap, David Ricardo: comparative advantage, declining real wages, deindustrialization, deskilling, Donald Trump, Douglas Hofstadter, Downton Abbey, Elon Musk, Erik Brynjolfsson, facts on the ground, future of journalism, future of work, George Gilder, Google Glasses, Google Hangouts, hiring and firing, impulse control, income inequality, industrial robot, intangible asset, Internet of things, invisible hand, James Watt: steam engine, Jeff Bezos, job automation, knowledge worker, laissez-faire capitalism, low skilled workers, Machine translation of "The spirit is willing, but the flesh is weak." to Russian and back, manufacturing employment, Mark Zuckerberg, mass immigration, mass incarceration, Metcalfe’s law, new economy, optical character recognition, pattern recognition, Ponzi scheme, post-industrial society, post-work, profit motive, remote working, reshoring, ride hailing / ride sharing, Robert Gordon, Robert Metcalfe, Ronald Reagan, Second Machine Age, self-driving car, side project, Silicon Valley, Skype, Snapchat, social intelligence, sovereign wealth fund, standardized shipping container, statistical model, Stephen Hawking, Steve Jobs, supply-chain management, TaskRabbit, telepresence, telepresence robot, telerobotics, Thomas Malthus, trade liberalization, universal basic income

One example is the application Proximie which allows a surgeon in one place to help a surgeon in another place. The remote surgeon guides the operating surgeon with screen markings that point out things like tendons, arteries, nerves, or where to make the incision. Proximie, which has been in use since 2016, has been used by doctors in Beirut to assist surgeons operating in the Gaza Strip. And remote surgical assistance via AR is not only for war zones. The headwear known as Google Glass (which looks like a pair of glasses) has been used in cardiac procedures in ways that allow an expert in a specific procedure to provide real-time advice to the operating surgeon. The other main new form of communication, virtual reality (VR), is a far more immersive experience—it completely hijacks your visual and audio channels filling them with a computer-generated reality. It can be a bit disorienting since you have no direct connection with where you are actually sitting.


pages: 283 words: 85,824

The People's Platform: Taking Back Power and Culture in the Digital Age by Astra Taylor

A Declaration of the Independence of Cyberspace, American Legislative Exchange Council, Andrew Keen, barriers to entry, Berlin Wall, big-box store, Brewster Kahle, citizen journalism, cloud computing, collateralized debt obligation, Community Supported Agriculture, conceptual framework, corporate social responsibility, creative destruction, cross-subsidies, crowdsourcing, David Brooks, digital Maoism, disintermediation, don't be evil, Donald Trump, Edward Snowden, Fall of the Berlin Wall, Filter Bubble, future of journalism, George Gilder, Google Chrome, Google Glasses, hive mind, income inequality, informal economy, Internet Archive, Internet of things, invisible hand, Jane Jacobs, Jaron Lanier, Jeff Bezos, job automation, John Markoff, Julian Assange, Kevin Kelly, Kickstarter, knowledge worker, Mark Zuckerberg, means of production, Metcalfe’s law, Naomi Klein, Narrative Science, Network effects, new economy, New Journalism, New Urbanism, Nicholas Carr, oil rush, peer-to-peer, Peter Thiel, plutocrats, Plutocrats, post-work, pre–internet, profit motive, recommendation engine, Richard Florida, Richard Stallman, self-driving car, shareholder value, sharing economy, Silicon Valley, Silicon Valley ideology, slashdot, Slavoj Žižek, Snapchat, social graph, Steve Jobs, Stewart Brand, technoutopianism, trade route, Whole Earth Catalog, WikiLeaks, winner-take-all economy, Works Progress Administration, young professional

This focus ignores the business imperatives that accelerate media consumption and the market forces that encourage compulsive online engagement. Yet there is one point on which the cheerleaders and the naysayers agree: we are living at a time of profound rupture—something utterly unprecedented and incomparable. All connections to the past have been rent asunder by the power of the network, the proliferation of smartphones, tablets, and Google glasses, the rise of big data, and the dawning of digital abundance. Social media and memes will remake reality—for better or for worse. My view, on the other hard, is that there is as much continuity as change in our new world, for good and for ill. Many of the problems that plagued our media system before the Internet was widely adopted have carried over into the digital domain—consolidation, centralization, and commercialism—and will continue to shape it.


pages: 282 words: 81,873

Live Work Work Work Die: A Journey Into the Savage Heart of Silicon Valley by Corey Pein

23andMe, 4chan, affirmative action, Affordable Care Act / Obamacare, Airbnb, Amazon Mechanical Turk, Anne Wojcicki, artificial general intelligence, bank run, barriers to entry, Benevolent Dictator For Life (BDFL), Bernie Sanders, bitcoin, Build a better mousetrap, California gold rush, cashless society, colonial rule, computer age, cryptocurrency, data is the new oil, disruptive innovation, Donald Trump, Douglas Hofstadter, Elon Musk, Extropian, gig economy, Google bus, Google Glasses, Google X / Alphabet X, hacker house, hive mind, illegal immigration, immigration reform, Internet of things, invisible hand, Isaac Newton, Jeff Bezos, job automation, Kevin Kelly, Khan Academy, Law of Accelerating Returns, Lean Startup, life extension, Lyft, Mahatma Gandhi, Marc Andreessen, Mark Zuckerberg, Menlo Park, minimum viable product, move fast and break things, move fast and break things, mutually assured destruction, obamacare, passive income, patent troll, Paul Graham, peer-to-peer lending, Peter H. Diamandis: Planetary Resources, Peter Thiel, platform as a service, plutocrats, Plutocrats, Ponzi scheme, post-work, Ray Kurzweil, regulatory arbitrage, rent control, RFID, Robert Mercer, rolodex, Ronald Reagan, Ross Ulbricht, Ruby on Rails, Sam Altman, Sand Hill Road, Scientific racism, self-driving car, sharing economy, side project, Silicon Valley, Silicon Valley startup, Singularitarianism, Skype, Snapchat, social software, software as a service, source of truth, South of Market, San Francisco, Startup school, stealth mode startup, Steve Jobs, Steve Wozniak, TaskRabbit, technological singularity, technoutopianism, telepresence, too big to fail, Travis Kalanick, tulip mania, Uber for X, uber lyft, ubercab, upwardly mobile, Vernor Vinge, X Prize, Y Combinator

His asteroid mining venture, Planetary Resources, was an effort to gain first-mover advantage on exploiting the mineral wealth of places beyond earth. “In the same way that we Europeans looked toward the New World to colonize for resources, we as humanity can look toward space as the ultimate supply of resources,” he said. The same ahistorical and romantic view of conquest pervaded the Summit, frequently punctuated by charts going up. SU chief executive Rob Nail, a gangly Stanford-educated robotics designer who wore a plaid blazer and a Google Glass that pinned back his shoulder-length hair, borrowed some of his slideshow from The Singularity Is Near—“the intellectual inspiration for the university.” Beside a chart with a rising trendline, which depicted the “exponential” march of human invention, was a portrait of Chancellor Kurzweil, who smiled impishly down on the audience, as though amused by a private joke. “One of the advantages of being in the futurism business,” Kurzweil once wrote, “is that by the time your readers are able to find fault with your forecasts, it is too late for them to ask for their money back.”


pages: 245 words: 83,272

Artificial Unintelligence: How Computers Misunderstand the World by Meredith Broussard

1960s counterculture, A Declaration of the Independence of Cyberspace, Ada Lovelace, AI winter, Airbnb, Amazon Web Services, autonomous vehicles, availability heuristic, barriers to entry, Bernie Sanders, bitcoin, Buckminster Fuller, Chris Urmson, Clayton Christensen, cloud computing, cognitive bias, complexity theory, computer vision, crowdsourcing, Danny Hillis, DARPA: Urban Challenge, digital map, disruptive innovation, Donald Trump, Douglas Engelbart, easy for humans, difficult for computers, Electric Kool-Aid Acid Test, Elon Musk, Firefox, gig economy, global supply chain, Google Glasses, Google X / Alphabet X, Hacker Ethic, Jaron Lanier, Jeff Bezos, John von Neumann, Joi Ito, Joseph-Marie Jacquard, life extension, Lyft, Mark Zuckerberg, mass incarceration, Minecraft, minimum viable product, Mother of all demos, move fast and break things, move fast and break things, Nate Silver, natural language processing, PageRank, payday loans, paypal mafia, performance metric, Peter Thiel, price discrimination, Ray Kurzweil, ride hailing / ride sharing, Ross Ulbricht, Saturday Night Live, school choice, self-driving car, Silicon Valley, speech recognition, statistical model, Steve Jobs, Steven Levy, Stewart Brand, Tesla Model S, the High Line, The Signal and the Noise by Nate Silver, theory of mind, Travis Kalanick, Turing test, Uber for X, uber lyft, Watson beat the top human players on Jeopardy!, Whole Earth Catalog, women in the workforce

Internet pioneer Jaron Lanier warned of the economic consequences in an interview: The way self-driving cars work is big data. It’s not some brilliant artificial brain that knows how to drive a car. It’s that the streets are digitized in great detail. So where does the data come from? To a degree, from automated cameras. But no matter where it comes from, at the bottom of the chain there will be someone operating it. It’s not really automated. Whoever that is—maybe somebody wearing Google Glass on their head that sees a new pothole, or somebody on their bike that sees it—only a few people will pick up that data. At that point, when the data becomes rarified, the value should go up. The updating of the input that is needed is more valuable, per bit, than we imagine it would be today.23 Lanier is describing a world in which vehicle safety could depend on monetized data—a dystopia in which the best data goes to the people who can afford to pay the most for it.


The Buddha and the Badass: The Secret Spiritual Art of Succeeding at Work by Vishen Lakhiani

Buckminster Fuller, Burning Man, call centre, Colonization of Mars, crowdsourcing, deliberate practice, Elon Musk, fundamental attribution error, future of work, Google Glasses, Google X / Alphabet X, iterative process, Jeff Bezos, meta analysis, meta-analysis, microbiome, performance metric, Peter Thiel, profit motive, Ralph Waldo Emerson, Silicon Valley, Silicon Valley startup, skunkworks, Skype, Steve Jobs, Steven Levy, web application, white picket fence

But these are wasting bullets. Wasting bullets is 100 percent correct, according to the OODA philosophy. Because you will shoot down more enemy planes. The pace of innovation is the most important thing. I don’t care if we fail 40 to 50 percent of the time. Google fails that often too. According to Steven Levy in his book In the Plex Google fails at 40 percent of everything they start. (Remember the Google Glass or Google Plus?) But by moving fast we learn, orient, adapt, and innovate faster than the competition. Failure is completely OKAY. In fact, it’s enshrined in our OKRs (50 percent of your OKRs must have a 50 percent rate of failure). Failing is OKAY. But Being Slow is NOT. Here’s what OODA means to us. #1. Do everything you can to speed up the Decision-Making Cycle Eighty percent sure is better than 100 percent if it allows you to move faster.


pages: 307 words: 90,634

Insane Mode: How Elon Musk's Tesla Sparked an Electric Revolution to End the Age of Oil by Hamish McKenzie

Airbnb, Albert Einstein, augmented reality, autonomous vehicles, barriers to entry, basic income, Bay Area Rapid Transit, Ben Horowitz, business climate, car-free, carbon footprint, Chris Urmson, Clayton Christensen, cleantech, Colonization of Mars, connected car, crony capitalism, Deng Xiaoping, disruptive innovation, Donald Trump, Elon Musk, Google Glasses, Hyperloop, Internet of things, Jeff Bezos, John Markoff, low earth orbit, Lyft, Marc Andreessen, margin call, Mark Zuckerberg, megacity, Menlo Park, Nikolai Kondratiev, oil shale / tar sands, paypal mafia, Peter Thiel, ride hailing / ride sharing, Ronald Reagan, self-driving car, Shenzhen was a fishing village, short selling, side project, Silicon Valley, Silicon Valley startup, Snapchat, South China Sea, special economic zone, stealth mode startup, Steve Jobs, Tesla Model S, Tim Cook: Apple, Uber and Lyft, uber lyft, universal basic income, urban planning, urban sprawl, Zipcar

(Only 150,000 new cars were licensed in Beijing that year.) Wu had taught himself English during his time at Intel, where he frequently interacted with American colleagues and made business trips to the United States. He was growing increasingly interested in artificial intelligence at the time he saw Malone’s speech, in part because of a friend named Yong Zhao. Yong had been a founding member of the team that worked on Google Glass, the augmented-reality headset that overlaid a digital interface onto the real world (you may recall that the device looked like a pair of lensless sunglasses from the 2052 Olympics). After leaving Google in 2013, Zhao started an automobile-vision research company but later decided he wanted to pursue other interests. He was looking for someone to start a company that would put his research to use.


pages: 341 words: 89,986

Bricks & Mortals: Ten Great Buildings and the People They Made by Tom Wilkinson

Berlin Wall, British Empire, cuban missile crisis, Donald Trump, double helix, experimental subject, false memory syndrome, financial independence, Ford paid five dollars a day, Frederick Winslow Taylor, Google Glasses, housing crisis, Kitchen Debate, Mahatma Gandhi, mass incarceration, megacity, neoliberal agenda, New Urbanism, Panopticon Jeremy Bentham, starchitect, traveling salesman, trickle-down economics, Upton Sinclair, urban planning

With the advent of computer games such as Duke Nukem 3D this fantasy kingdom has merged with domestic space and been privatised in the process. But unlike the enfoldment of theatre in the Duke of Ferrara’s palace, this privatisation does not permit consumer control of content, which is ceded instead to the entertainment industry. Furthermore, such privatisation strips away entertainment’s social element, that frisson of sexual possibility that belonged to Coney. Now the invention of autism machines like Google Glass threatens to take this desocialised zone into the public space of the street, degrading and monetising our interactions – and perhaps our sense of reality. 7 Highland Park Car Factory, Detroit (1909–10) Architecture and Work And I saw big squat buildings with great endless windows behind which men were trapped like flies, moving but barely moving, as if they were struggling against I don’t know what impossibility.


pages: 344 words: 94,332

The 100-Year Life: Living and Working in an Age of Longevity by Lynda Gratton, Andrew Scott

3D printing, Airbnb, assortative mating, carbon footprint, Clayton Christensen, collapse of Lehman Brothers, creative destruction, crowdsourcing, delayed gratification, disruptive innovation, diversification, Downton Abbey, Erik Brynjolfsson, falling living standards, financial independence, first square of the chessboard, first square of the chessboard / second half of the chessboard, future of work, gender pay gap, gig economy, Google Glasses, indoor plumbing, information retrieval, intangible asset, Isaac Newton, job satisfaction, longitudinal study, low skilled workers, Lyft, Nelson Mandela, Network effects, New Economic Geography, old age dependency ratio, pattern recognition, pension reform, Peter Thiel, Ray Kurzweil, Richard Florida, Richard Thaler, Second Machine Age, sharing economy, side project, Silicon Valley, smart cities, Stanford marshmallow experiment, Stephen Hawking, Steve Jobs, The Future of Employment, uber lyft, women in the workforce, young professional

., ‘Who’s Benefiting from MOOCs, and Why’, Harvard Business Review (September 2015). 9Sebastian Thun, a former Stanford University professor, vice president of Google and founder of online educational company Udacity, puts it well: ‘The education system is based on a framework from the 17th and 18th century that says we should play for the first five years of life, then learn, then work, then rest and then die. I believe we should be able to do all those things all the time.’ http://www.theguardian.com/education/2013/sep/05/google-glass-creator-testing-regimes-technology 10Braithwaite, V., ‘Reducing Ageism’, in Nelson, T. D. (ed.), Ageism: Stereotyping and Prejudice Against Older Persons (MIT Press, 2002), 311–37. 11Erickson, T. J. and Gratton, L., ‘What It Means To Work Here’, Harvard Business Review (March 2007). 12We thank Adair Turner for both the reference to The Leopard as well as this specific example. Index The letter f following an entry indicates a figure 3.0 scenarios here–here, here, here, here 3.5 scenarios here–here, here, here 4.0 scenarios here–here, here–here, here, here 5.0 scenarios here–here, here, here, here, here, here–here Acorns here activities of daily living (ADL) here adolescence here–here, here adult equivalence scales here age cognition and here–here corporations and here explorers and here–here government policy and here independent producers and here life stages and here–here, here–here portfolios and here predictability of here segregation and here–here, here–here, here, here–here age process algorithms here, here ageing process here, here ageism here, here agency here, here, here finance and here–here agriculture here–here Amazon here anxiety here appearance here Apple iPhone here reputation here Archer, Margaret here Artificial Intelligence (AI) here, here, here, here education and here human skills and here medical diagnoses and here–here, here skills and knowledge and here–here Asia here assets here, here see also intangible assets; tangible assets; transformational assets assortative mating here–here, here Astor, Brooke here Autor, David here–here, here Baby Boomers here–here beauty here Becker, Gary: ‘Treatise on the Family’ here, here–here, here behavioural nudges here Benartzi, Shlomo here benefits here–here see also welfare Bennis, Warren here birth rates, decline in here–here, here brain, the here–here, here–here cognition here Braithwaite, Valerie here Brontë, Charlotte: Jane Eyre here Buffett, Warren here–here Calico (California Life Company) here Calment, Jeanne here careers breaks and here changes and here–here dual careers here, here, here cell aging here centenarians here, here–here change here–here catalysts for here–here corporations and here–here, here education and here–here government policy and here–here, here identity and here–here inequalities and here–here mastery and here–here planning and experimentation and here–here rate of here–here Cherlin, Andrew here chess here children here, here–here, here Christensen, Clayton here Cloud Robotics here cohort estimate of life expectancy here, here, here companies here, here–here, here–here Amazon here Apple here–here change and here–here, here creative clusters here–here economies of scale and here–here Facebook here flexibility here–here, here–here reputation and here–here research and here small business ecosystems here–here technology and here–here Twitter here value creation here–here WhatsApp here compression of morbidity here–here computing power here–here, here–here see also Moore’s Law connectivity here–here consumerism here, here consumption complementarities here–here consumption levels here, here continuums here corporations here–here, here–here see also companies creative clusters here–here independent producers and here–here creativity here cross-age friendships here crucible experiences here–here Deep Learning here dementia here depreciation here developing countries life expectancy and here–here, here state pensions and here Dickens, Charles: Old Curiosity Shop, The here diet here Dimson, Elroy here disabilities here discounting here discretionary time here diverse networks here, here–here Doctorow, Corey: Makers, The here Downton Abbey effect, the here–here Doyle, Arthur Conan here driverless cars here, here dual career households here, here, here Dweck, Carol here–here dynamic/diverse networks here, here–here Easterlin’s Paradox here economy, the here–here agriculture and here–here gig economy here job creation and here–here leisure industry and here service sector and here sharing economy here, here stability and here education here, here–here, here–here see also mastery experiential learning here–here, here, here human skills and judgement and here ideas and creativity and here institutions here–here learning methods here mental flexibility and agility and here–here multi-stage life and here specialization here–here, here, here technology and here, here, here training here efficacy here, here, here–here elasticity here–here emerging markets life expectancy and here state pensions and here emotional spillover here employers here–here, here employment see also companies; employment changes age and here, here–here, here–here changes and here, here, here–here, here–here city migration and here–here creation here–here demographics and here, here–here diverse networks and here–here elasticity and here–here environmental concerns and here–here, here family structures and here–here, here, here–here, here, here, here–here flexibility and here–here, here, here–here, here–here, here–here, here hollowing out of work here–here, here, here home and here job classification here–here knowledge and skills and here levels here, here matches here–here mobility here multi-stage life and here office-based here paid leave here participation rates here–here, here pay here–here, here psychological contract here satisfaction here–here self-employment here–here specialization and here–here statistics here status and here supply and here–here technology and here, here–here, here–here, here, here, here–here, here unique human skills here–here, here vacancies here–here women and here–here working hours here–here, here working week here–here employment changes here, here, here–here companies and here–here industry sectors and here–here, here entrepreneurship here–here see also independent producers equity release schemes here experiential learning here–here, here, here experimentation here, here–here, here–here explorers here–here, here–here adventurers here age and here–here assets and here crucible experiences and here–here options and here–here searchers here, here exponential discounting here exponential growth here–here Facebook here families here, here, here–here, here children here, here–here, here dual career households here, here, here marriage here–here work and here, here finance here, here–here see also pensions age process algorithms here, here agency and here–here automation and here–here costs here–here efficacy and here–here equity release schemes here flexibility here governments and here–here, here, here–here health and here housing and here–here hyperbolic discounting here–here inheritances here–here investment here, here–here, here–here, here, here old age and here–here pay here–here, here pension replacement rates here–here, here, here–here portfolios here–here psychology and here–here retirement and here–here fitness and health here–here see also health Fleming, Ian here flexibility here, here–here, here, here–here, here–here, here corporations and here–here government policy and here–here working patterns and here flexibility stigma here, here Ford, Henry here Foxconn here Frey, Carl here Friedman, Stewart here–here, here Fries, James here, here Future of Work Consortium here future selves here–here future selves case studies Jane here–here, here–here Jimmy here–here, here galumphing here–here gender here, here see also women inequality here–here, here–here, here, here, here specialization of labour here, here–here, here, here, here–here Generation Y here generational attitudes here gerontology here Giddens, Anthony here, here gig economy here–here globalization here Goldin, Claudia here, here Google here governments here, here–here, here inequalities and here–here pensions and here–here rate of change and here–here Gratton, Lynda here Shift, The here growth mindset here–here Groysberg, Boris here Haffenden, Margaret here Hagestad, Gunhild here–here, here Harvard Grant Study here health here, here–here brain, the here–here chronic diseases here–here, here compression of morbidity here–here dementia here diseases of old age here–here finance and here improvements in here–here inequality here, here–here infectious diseases here public health here stress here–here healthy life expectancy here heterogeneity here hollowing out of work here–here, here, here home, work and here household here–here see also home economies of scale and here–here relationships here, here–here, here, here housing here–here imputed rent here, here ownership here HR policies here–here human skills here–here, here, here, here hyperbolic discounting here–here Ibarra, Herminia here identity here–here, here, here–here, here–here see also self-control; self-knowledge improvisation here–here imputed rent here, here income see also welfare distribution here growth and here inequalities here–here, here–here skills and knowledge and here–here income effect here–here independent producers here–here, here–here assets and here case study here–here creative clusters and here–here learning and here–here prototyping here–here reputation and curating and here–here India here–here Individual, the here Industrial Revolution, the here–here, here, here, here inequalities here–here gender and here–here, here–here, here, here, here government policy and here–here health here, here–here income here–here, here–here life expectancy and here–here, here–here, here infant mortality here intangible assets here–here, here–here, here case studies here–here, here–here, here corporations and here–here endowed individual characteristics here, here independent producers and here marriage and here productive assets see productive assets time and here transformational assets see transformational assets transitions and here–here vitality assets see vitality assets International Labour Organization (ILO) here ‘Women and the Future of Work’ here investment here, here–here, here–here, here Japan centenarians here–here life expectancy here, here–here,here–here, here pensions and here population decline and here job classification here–here job creation here–here job satisfaction here–here juvenescence here, here–here, here Kahneman, Daniel here Kegan, Robert here Keynes, John Maynard: Economic Possibilities of Our Grandchildren here knowledge see skills and knowledge Kurzweil, Ray here labour market see employment Lampedusa, Giuseppe : Leopard, The here law (occupation) here–here leadership here learning methods here leisure class here leisure industry here, here, here–here leisure time here, here, here–here, here–here, here–here Keynes, John Maynard and here life expectancy here–here, here see also long life best practice here, here calculating here–here, here chronic diseases and here–here cohort estimate of here, here, here developing countries and here–here diseases of old age and here–here government plans and here healthy life expectancy here historical here, here, here increase in here–here, here India and here–here inequalities in here–here, here–here, here infant mortality and here Japan and here, here–here, here–here, here limit to here–here period life expectancy measure here, here–here public health innovations and here South Korea here US and here–here Western Europe here life stages here–here, here–here age and here–here experiential learning and here explorers and here–here, here–here independent producers and here–here, here–here juvenescence and here, here–here multi-stage model here, here–here, here, here, here–here, here–here, here new stages here, here see also life stages case studies portfolios and here–here, here–here three-stage model here, here–here, here–here, here–here, here–here, here–here, here–here transitions and here life stages case studies diversity and here Jane here–here Jimmy here–here, here lifetime allowances here–here, here, here liminality here Linde, Charlotte here lockstep of action here–here, here London here–here London Business School here long life see also life expectancy as a curse here, here as a gift here, here Luddites, the here machine learning here marriage here–here Marsh, Paul here Marshall, Anthony here mastery here–here matching here–here Millenials here Mirvas, Philip here Modigliani, Franco here MOOCs (Massive Open Online Courses) here, here Moore’s Law here–here, here Moravec’s Paradox here, here morbidity here–here compression of here–here Morrissey, Francis here mortality here mortality risk here multiple selves here–here National Commission on Technology, Automation, and Economic Progress here neighbourhoods here neoplasticity here neoteny here, here new experiences here occupations here–here old age dependency ration here–here, here Ondine, curse of here options here, here–here Osborne, Michael here paid leave here Parfit, Derek here participation rates here–here, here peers here–here pension case studies Jack here, here–here, here, here Jane here, here, here–here, here, here, here, here, here–here Jimmy here–here, here, here–here, here, here, here–here, here three-stage life model here–here, here–here, here–here pension replacement rate here–here, here, here–here pensions here, here–here, here see also pension case studies amount required here–here funded schemes here goals and here government policy and here–here investment and here, here occupational pensions here–here Pay As You Go schemes here–here, here, here pension replacement rate here–here, here, here–here reform and here state pensions here–here, here period life expectancy measure here, here–here personal brands here pharmacy (occupation) here planning here plasticity here–here play here–here politics, engagement with here Polyani’s Paradox here–here, here population here–here, here–here portfolios (financial) here–here portfolios (life stage) here–here, here–here switching costs here transitions and here–here posse here–here, here possible selves here, here–here possible selves case studies Jane here–here Jimmy here–here, here Preston, Samuel here production complementarities here, here–here, here productive assets here–here, here case studies here, here, here–here, here, here, here, here–here, here, here marriage and here transitions and here professional social capital here–here prototyping here–here psychology here, here–here see also self-control age process algorithms here, here automation and here–here behavioural nudges here saving and here–here pure relationships here, here pyramid schemes here re-creation and recreation here–here, here–here recruitment here reflexive project, the here regenerative community here, here, here Relation P here relationships here–here, here, here children and here–here divorce and here–here, here dual career households here families and here–here, here–here friendships here, here–here household here, here–here, here, here marriage and here–here, here–here matches and here–here multi-generational living here–here, here options and here–here pure relationship here switching roles here, here, here, here–here reputation here–here, here–here, here–here retirees here–here retirement see also pensions age of here, here, here, here, here–here, here consumption levels and here corporations and here, here government policy and here–here stimulation in here, here risk here risk pooling here robotics here, here, here, here see also Artificial Intelligence role models here routine here routine activities here routine-busting here routine tasks here–here Rule of here here Sabbath, the here sabbaticals here–here Save More Tomorrow (SMarT plan) here–here Scharmer, Otto here second half of the chessboard here–here segregation of the ages here–here, here–here, here, here–here self-control here–here, here–here age process algorithms here, here automation and here behavioural nudges here self-employment here–here self-knowledge here–here, here finance and here–here service sector here sexuality here–here Shakespeare, William King Lear here sharing economy here–here, here, here short-termism here–here skills and knowledge here, here–here, here see also human skills earning potential and here professional social capital and here–here technology and here–here valuable here–here Slim, Carlos here smart cities here–here independent producers and here–here social media here, here–here society here spare time here see also leisure time standardized practices here–here Staunton, Mike here strategic bequest motive, the here–here substitution effect here switching here, here, here, here–here tangible assets here–here, here, here, here, here see also housing; pensions case studies here, here, here, here, here, here transitions and here taxation here, here–here Teachers Insurance and Annuity Assurance scheme here technology here, here see also Artificial Intelligence computing power here–here, here–here see also Moore’s Law driverless cars here–here, here education and here, here, here employment and here, here–here, here–here, here, here, here–here, here human skills and here, here innovation and here matching and here relationships and here teenagers here–here, here–here, here, here Thaler, Richard here thick market effects here–here Thomas, R. here time here, here–here see also sabbaticals discretionary time here flexibility and here–here, here Industrial Revolution, the here–here, here–here, here intangible assets and here leisure and here, here, here–here, here–here, here–here restructuring here, here spare time here working hours here–here, here, here–here working hours paradox here–here, here working week, the here–here, here time poor here–here trade unions here transformational assets here, here–here, here–here, here, here, here case studies here–here, here–here, here–here, here–here, here, here, here, here crucible experiences and here corporations and here transitions here, here–here, here–here, here corporations and here financing here–here government policy and here, here nature of here–here portfolios and here–here re-creating here recharging here–here tribal rituals here Twitter here Uhlenberg, Peter here–here, here UK, occupational pension schemes and here–here Unilever here universities here US here–here compression of morbidity and here occupational pension schemes and here Valliant, George here value creation here vitality assets here, here–here, here case studies here, here–here, here, here, here–here, here, here, here, here transitions and here–here website here week, the here–here weekend, the here, here weight loss here welfare here–here see also benefits Wharton School of the University of Pennsylvania here–here, here WhatsApp here Wolfran, Hans-Joachim here women see also gender children and here–here relationships and here, here, here work and here–here Women and Love here work see employment working hours here–here, here, here–here working week, the here–here, here Yahoos here–here youthfulness here–here Bloomsbury Information An imprint of Bloomsbury Publishing Plc 50 Bedford Square 1385 Broadway London New York WC1B 3DP NY 10018 UK USA www.bloomsbury.com BLOOMSBURY and the Diana logo are trademarks of Bloomsbury Publishing Plc First published 2016 © Lynda Gratton and Andrew Scott, 2016 Lynda Gratton and Andrew Scott have asserted their right under the Copyright, Designs and Patents Act, 1988, to be identified as Author of this work.


pages: 301 words: 100,597

My Life as a Goddess: A Memoir Through (Un)Popular Culture by Guy Branum

bitcoin, different worldview, G4S, Google Glasses, Joan Didion, Kickstarter, Mark Zuckerberg, oil shale / tar sands, out of africa, pets.com, plutocrats, Plutocrats, Rosa Parks, Sapir-Whorf hypothesis, Silicon Valley, Snapchat, telemarketer

On Lea Michele in a silver dress: “She looks like a filling.” 11. On Channing Tatum and Jenna Dewan: “I’m so glad Channing’s wife could get the night off at Cheesecake Factory.” 12. On Zooey Deschanel: “You know Zooey just started a website to encourage women to do comedy. I just started a website to discourage Zooey from doing comedy.” 13. I’m sorry I don’t have the joke. It may not have been kombucha. It may have been Google Glass or Justin Bieber’s fragrance, Someday. All I remember is that it was something very 2012. 14. It was from the 2012 Grammys episode. Adele won five Grammys, and I said, “Usually, when Adele leaves with five of something, it comes with coleslaw and some biscuits.” Joan thought it was very funny but didn’t want to make fun of a woman for being fat. I had no business making fun of a woman for being fat, either. 15. 


pages: 349 words: 102,827

The Infinite Machine: How an Army of Crypto-Hackers Is Building the Next Internet With Ethereum by Camila Russo

4chan, Airbnb, algorithmic trading, altcoin, always be closing, Any sufficiently advanced technology is indistinguishable from magic, Asian financial crisis, bitcoin, blockchain, Burning Man, crowdsourcing, cryptocurrency, distributed ledger, diversification, Donald Trump, East Village, Ethereum, ethereum blockchain, Flash crash, Google Glasses, Google Hangouts, hacker house, Internet of things, Mark Zuckerberg, Maui Hawaii, mobile money, new economy, peer-to-peer, Peter Thiel, pets.com, Ponzi scheme, prediction markets, QR code, reserve currency, RFC: Request For Comment, Richard Stallman, Robert Shiller, Robert Shiller, Sand Hill Road, Satoshi Nakamoto, semantic web, sharing economy, side project, Silicon Valley, Skype, slashdot, smart contracts, South of Market, San Francisco, the payments system, too big to fail, tulip mania, Turing complete, Uber for X

The Byzantium fork wasn’t the only thing that would change the course of Ethereum going on at the Waterloo hackathon, though none of the developers present would have guessed it. Benny Giang was busy plastering the bathrooms with cat posters and handing out Pokémon playing cards with cat stickers on them. He had also tied feline-shaped balloons onto his workstation. He was part of the team at a Vancouver-based software incubator called Axiom Zen. They focused on bringing cutting-edge tech to the masses. Benny had been one of the first people to test out Google Glass smart glasses, and virtual reality headsets, and when cryptocurrencies became the thing everyone was talking about but not really using, they decided to give it a shot. Roham Gharegozlou, Axiom Zen founder, brought their team together and had them come up with a list of twenty or so blockchain ideas on a whiteboard. From there, the tech people went off to think about the best ideas and the designers did the same.


pages: 334 words: 104,382

Brotopia: Breaking Up the Boys' Club of Silicon Valley by Emily Chang

23andMe, 4chan, Ada Lovelace, affirmative action, Airbnb, Apple II, augmented reality, autonomous vehicles, barriers to entry, Bernie Sanders, Burning Man, California gold rush, Chuck Templeton: OpenTable:, David Brooks, Donald Trump, Elon Musk, equal pay for equal work, Ferguson, Missouri, game design, gender pay gap, Google Glasses, Google X / Alphabet X, Grace Hopper, high net worth, Hyperloop, Jeff Bezos, job satisfaction, Khan Academy, Lyft, Marc Andreessen, Mark Zuckerberg, Maui Hawaii, Menlo Park, meta analysis, meta-analysis, microservices, paypal mafia, Peter Thiel, post-work, pull request, ride hailing / ride sharing, rolodex, Saturday Night Live, shareholder value, side project, Silicon Valley, Silicon Valley startup, Skype, Snapchat, Steve Jobs, Steve Wozniak, Steven Levy, subscription business, Tim Cook: Apple, Travis Kalanick, uber lyft, women in the workforce

Then, in the long, hot summer of 2013, executive chairman Eric Schmidt was outed by the Daily Mail, a U.K. tabloid, as having had numerous extra marital affairs with younger women, including a female television personality who gave him the nickname “Dr. Strangelove.” Valleywag, a tech industry gossip blog, followed up with a story claiming that Schmidt’s New York apartment was a love nest that had been soundproofed. A month later, news broke that Brin, then forty, was having an affair with a junior employee on his Google Glass team named Amanda Rosenberg. To make matters more complicated, Rosenberg’s then-boyfriend, Hugo Barra, was a lead executive heading up Google’s Android division, who left at about the same time as the scandal broke in the press to run global operations at the Chinese smartphone maker Xiaomi. And to make it even more complicated, Brin was married to Susan Wojcicki’s sister Anne, a Silicon Valley force in her own right, heading up the genetic-testing company 23andMe.


The Deep Learning Revolution (The MIT Press) by Terrence J. Sejnowski

AI winter, Albert Einstein, algorithmic trading, Amazon Web Services, Any sufficiently advanced technology is indistinguishable from magic, augmented reality, autonomous vehicles, Baxter: Rethink Robotics, bioinformatics, cellular automata, Claude Shannon: information theory, cloud computing, complexity theory, computer vision, conceptual framework, constrained optimization, Conway's Game of Life, correlation does not imply causation, crowdsourcing, Danny Hillis, delayed gratification, discovery of DNA, Donald Trump, Douglas Engelbart, Drosophila, Elon Musk, en.wikipedia.org, epigenetics, Flynn Effect, Frank Gehry, future of work, Google Glasses, Google X / Alphabet X, Guggenheim Bilbao, Gödel, Escher, Bach, haute couture, Henri Poincaré, I think there is a world market for maybe five computers, industrial robot, informal economy, Internet of things, Isaac Newton, John Conway, John Markoff, John von Neumann, Mark Zuckerberg, Minecraft, natural language processing, Netflix Prize, Norbert Wiener, orbital mechanics / astrodynamics, PageRank, pattern recognition, prediction markets, randomized controlled trial, recommendation engine, Renaissance Technologies, Rodney Brooks, self-driving car, Silicon Valley, Silicon Valley startup, Socratic dialogue, speech recognition, statistical model, Stephen Hawking, theory of mind, Thomas Bayes, Thomas Kuhn: the structure of scientific revolutions, traveling salesman, Turing machine, Von Neumann architecture, Watson beat the top human players on Jeopardy!, X Prize, Yogi Berra

Chips 205 Inside Information 219 Consciousness 233 Nature Is Cleverer Than We Are 245 Deep Intelligence 261 169 viii Acknowledgments 269 Recommended Reading 275 Glossary 281 Notes 285 Index 321 Contents Preface P P r r e e f f a a c c e e © Massachusetts Institute of TechnologyAll Rights Reserved If you use voice recognition on an Android phone or Google Translate on the Internet, you have communicated with neural networks1 trained by deep learning. In the last few years, deep learning has generated enough profit for Google to cover the costs of all its futuristic projects at Google X, including self-driving cars, Google Glass, and Google Brain.2 Google was one of the first Internet companies to embrace deep learning; in 2013, it hired Geoffrey Hinton, the father of deep learning, and other companies are racing to catch up. The recent progress in artificial intelligence (AI) was made by reverse engineering brains. Learning algorithms for layered neural network models are inspired by the way that neurons communicate with one another and are modified by experience.


pages: 419 words: 109,241

A World Without Work: Technology, Automation, and How We Should Respond by Daniel Susskind

3D printing, agricultural Revolution, AI winter, Airbnb, Albert Einstein, algorithmic trading, artificial general intelligence, autonomous vehicles, basic income, Bertrand Russell: In Praise of Idleness, blue-collar work, British Empire, Capital in the Twenty-First Century by Thomas Piketty, cloud computing, computer age, computer vision, computerized trading, creative destruction, David Graeber, David Ricardo: comparative advantage, demographic transition, deskilling, disruptive innovation, Donald Trump, Douglas Hofstadter, drone strike, Edward Glaeser, Elon Musk, en.wikipedia.org, Erik Brynjolfsson, financial innovation, future of work, gig economy, Gini coefficient, Google Glasses, Gödel, Escher, Bach, income inequality, income per capita, industrial robot, interchangeable parts, invisible hand, Isaac Newton, Jacques de Vaucanson, James Hargreaves, job automation, John Markoff, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, John von Neumann, Joi Ito, Joseph Schumpeter, Kenneth Arrow, Khan Academy, Kickstarter, low skilled workers, lump of labour, Marc Andreessen, Mark Zuckerberg, means of production, Metcalfe’s law, natural language processing, Network effects, Occupy movement, offshore financial centre, Paul Samuelson, Peter Thiel, pink-collar, precariat, purchasing power parity, Ray Kurzweil, ride hailing / ride sharing, road to serfdom, Robert Gordon, Sam Altman, Second Machine Age, self-driving car, shareholder value, sharing economy, Silicon Valley, Snapchat, social intelligence, software is eating the world, sovereign wealth fund, spinning jenny, Stephen Hawking, Steve Jobs, strong AI, telemarketer, The Future of Employment, The Rise and Fall of American Growth, the scientific method, The Wealth of Nations by Adam Smith, Thorstein Veblen, Travis Kalanick, Turing test, Tyler Cowen: Great Stagnation, universal basic income, upwardly mobile, Watson beat the top human players on Jeopardy!, We are the 99%, wealth creators, working poor, working-age population, Y Combinator

Developing a successful new product comes at a serious cost, in both effort and expense, and the possibility of securing monopoly power is the main motivator for trying at all. It acts as the “baits that lure capital on to untried trails.”22 Moreover, monopoly profits are not simply a consequence of innovation, but a means of funding further innovation. Substantial research and development very often draws on the deep pockets established by a company’s past commercial successes. Think of Google, and its history of expensive failed ventures: Google Glass and Google Plus, Google Wave and Google Video. Just one of these flops would have broken a smaller company. But Google was able to withstand them, stay afloat, keep innovating and profit from the ventures that did end up succeeding. Schumpeter was not troubled by concerns that monopolies might entrench themselves and lower welfare. Economists who worry about “nothing but high prices and restrictions of output” are missing the bigger picture, he said: economic dominance by any company is not a permanent state of affairs.


pages: 379 words: 109,223

Frenemies: The Epic Disruption of the Ad Business by Ken Auletta

Airbnb, barriers to entry, Bernie Sanders, Boris Johnson, Build a better mousetrap, Burning Man, call centre, carbon footprint, cloud computing, commoditize, connected car, corporate raider, crossover SUV, disintermediation, Donald Trump, Elon Musk, forensic accounting, Google Glasses, Internet of things, Jeff Bezos, Khan Academy, Lyft, Mark Zuckerberg, market design, Menlo Park, move fast and break things, move fast and break things, Naomi Klein, NetJets, Network effects, pattern recognition, pets.com, race to the bottom, Richard Feynman, ride hailing / ride sharing, Saturday Night Live, self-driving car, sharing economy, Shoshana Zuboff, Silicon Valley, Snapchat, Steve Ballmer, Steve Jobs, Tim Cook: Apple, transaction costs, Uber and Lyft, uber lyft, Upton Sinclair, éminence grise

The e-mail invite said PetChatz was located in CES Booth 82646, which was in Hall G of the Sands. But a trip to the floor found Booth 82646 empty. One objective of CES is to manufacture buzz. In 2016, virtual reality was the much-hyped new new thing, which would be supplanted at CES 2017 by artificial intelligence, and AI-centric products like self-driving cars and Amazon’s Alexa. In previous years, drones, Google Glass, and 4K TVs had their moment. Writing about CES 2016, Farhad Manjoo of the New York Times observed, “If news from CES feels especially desultory this year, it might not be the show that’s at fault. Instead, blame the tech cycle. We’re at a weird moment in the industry: The best new stuff is not all that cool, and the coolest stuff”—AI, virtual reality, the Internet of things, drones—“isn’t quite ready


pages: 424 words: 114,905

Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again by Eric Topol

23andMe, Affordable Care Act / Obamacare, AI winter, Alan Turing: On Computable Numbers, with an Application to the Entscheidungsproblem, artificial general intelligence, augmented reality, autonomous vehicles, bioinformatics, blockchain, cloud computing, cognitive bias, Colonization of Mars, computer age, computer vision, conceptual framework, creative destruction, crowdsourcing, Daniel Kahneman / Amos Tversky, dark matter, David Brooks, digital twin, Elon Musk, en.wikipedia.org, epigenetics, Erik Brynjolfsson, fault tolerance, George Santayana, Google Glasses, ImageNet competition, Jeff Bezos, job automation, job satisfaction, Joi Ito, Mark Zuckerberg, medical residency, meta analysis, meta-analysis, microbiome, natural language processing, new economy, Nicholas Carr, nudge unit, pattern recognition, performance metric, personalized medicine, phenotype, placebo effect, randomized controlled trial, recommendation engine, Rubik’s Cube, Sam Altman, self-driving car, Silicon Valley, speech recognition, Stephen Hawking, text mining, the scientific method, Tim Cook: Apple, War on Poverty, Watson beat the top human players on Jeopardy!, working-age population

He previously had won an Academy Award and nine feature film credits for his design and development software for movies including the Transformers, Star Trek, the Harry Potter series, and Avatar. Prakash, the VP of products and design, is not as tall as Petterson, without an Academy Award, but is especially handsome, dark-haired, and brown-eyed, looking like he’s right out of a Hollywood movie set. His youthful appearance doesn’t jibe with a track record of twenty years of experience in product development, which included leading the Google Glass design project. He also worked at Apple for nine years, directly involved in the development of the first iPhone and iPad. That background might, in retrospect, be considered ironic. Meanwhile, a team of more than twenty engineers and computer scientists at Apple, located just six miles away, had its sights set on diagnosing atrial fibrillation via their watch. They benefited from Apple’s seemingly unlimited resources and strong corporate support: the company’s chief operating officer, Jeff Williams, responsible for the Apple Watch development and release, had articulated a strong vision for it as an essential medical device of the future.


pages: 389 words: 119,487

21 Lessons for the 21st Century by Yuval Noah Harari

1960s counterculture, accounting loophole / creative accounting, affirmative action, Affordable Care Act / Obamacare, agricultural Revolution, algorithmic trading, augmented reality, autonomous vehicles, Ayatollah Khomeini, basic income, Bernie Sanders, bitcoin, blockchain, Boris Johnson, call centre, Capital in the Twenty-First Century by Thomas Piketty, carbon-based life, cognitive dissonance, computer age, computer vision, cryptocurrency, cuban missile crisis, decarbonisation, deglobalization, Donald Trump, failed state, Filter Bubble, Francis Fukuyama: the end of history, Freestyle chess, gig economy, glass ceiling, Google Glasses, illegal immigration, Intergovernmental Panel on Climate Change (IPCC), Internet of things, invisible hand, job automation, knowledge economy, liberation theology, Louis Pasteur, low skilled workers, Mahatma Gandhi, Mark Zuckerberg, mass immigration, means of production, Menlo Park, meta analysis, meta-analysis, Mohammed Bouazizi, mutually assured destruction, Naomi Klein, obamacare, pattern recognition, post-work, purchasing power parity, race to the bottom, RAND corporation, Ronald Reagan, Rosa Parks, Scramble for Africa, self-driving car, Silicon Valley, Silicon Valley startup, transatlantic slave trade, Tyler Cowen: Great Stagnation, universal basic income, uranium enrichment, Watson beat the top human players on Jeopardy!, zero-sum game

It and the other online giants tend to view humans as audiovisual animals – a pair of eyes and a pair of ears connected to ten fingers, a screen and a credit card. A crucial step towards uniting humankind is to appreciate that humans have bodies. Of course, this appreciation too has its downside. Realising the limitations of online algorithms might only prompt the tech-giants to extend their reach further. Devices such as Google Glass and games such as Pokémon Go are designed to erase the distinction between online and offline, merging them into a single augmented reality. On an even deeper level, biometric sensors and direct brain–computer interfaces aim to erode the border between electronic machines and organic bodies, and to literally g