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Autonomous Driving: How the Driverless Revolution Will Change the World by Andreas Herrmann, Walter Brenner, Rupert Stadler
Airbnb, Airbus A320, augmented reality, autonomous vehicles, blockchain, call centre, carbon footprint, cleantech, computer vision, conceptual framework, connected car, crowdsourcing, cyber-physical system, DARPA: Urban Challenge, data acquisition, demand response, digital map, disruptive innovation, Elon Musk, fault tolerance, fear of failure, global supply chain, industrial cluster, intermodal, Internet of things, Jeff Bezos, Lyft, manufacturing employment, market fundamentalism, Mars Rover, Masdar, megacity, Pearl River Delta, peer-to-peer rental, precision agriculture, QWERTY keyboard, RAND corporation, ride hailing / ride sharing, self-driving car, sensor fusion, sharing economy, Silicon Valley, smart cities, smart grid, smart meter, Steve Jobs, Tesla Model S, Tim Cook: Apple, uber lyft, upwardly mobile, urban planning, Zipcar
CHAPTER 12 THE CONNECTED CAR Moving from Level 1 to Level 5 automation, the vehicle is transformed from a stand-alone product into a connected car . Vehicles are already connected with their surroundings in many ways, and this connectivity is constantly increasing. One example is vehicle-to-cloud communication (V-to-C), which allow online services such as weather information to enter a vehicle. As previously indicated, V-to-V is the connectivity of vehicles with each other, so that information on dangerous situations, for example, can be exchanged. V-to-I connects a vehicle with the trafﬁc infrastructure (trafﬁc lights, trafﬁc signs, parking garages, etc.). Figure 12.1 provides an overview of connected driving, arranged by infrastructure and applications. Figure 12.1. Connected Cars and Connected Mobility.
., Road Vehicles Automation, Berlin, 93 102.  Great Britain Department of Transport, 2015: The Pathway to Driverless Cars.  Grundwald, A., 2016: Societal Risk Constellations for Autonomous Driving, Analysis, Historical Context and Assessment, in: Maurer, M., Gerdes, C. J., Lenz, B., Winner, H., Autonomous Driving, Berlin, 641 664.  Haberle, T., Charissis, L., Fehling, C., Nahm, J., Leymann, F., 2015: The Connected Car in the Cloud: A Platform for Prototyping Telematics Services, in: IEEE Software, 11 17.  Haertl, F., Taylor, K., 2015: Connected Car Creating a Seamless Life through the Connected Car, GfK, Nuernberg.  Heinrichs, D., 2016: Autonomous Driving and Urban Land Use, in: Maurer, M., Gerdes, C. J., Lenz, B., Winner, H., Autonomous Driving, Berlin, 213 232.  Hoff, K. A., Bashir, M., 2015: Trust in Automation: Integrating Empirical Evidence on Factors that Inﬂuence Trust, in: Human Factors, 407 434.
The processing unit will control all the functions in the car from the powertrain to infotainment, and will take over the entire human machine interaction as well as the communication between the vehicle and other vehicles and between the vehicle and the infrastructure . An additional aspect is that there will be more and more car-related mobility and parking services with the aim of offering the customer not only vehicles, but also mobility in general, with the inclusion of other modes of transport. This will also include the so-called connected-car services, connecting the car with its environment, including the Internet, manufacturer and maintenance garage. In a connected car with all these channels to the outside and passengers that have time on their hands, the provision of content will play a key role. This includes entertainment such as audio and video, but also all apps and information services so that the car becomes a rolling ofﬁce, information platform or even cinema. Another source is the enormous volume of vehicle, location and passenger data (big data), which can be used (anonymised) to offer travellers access to data-based services going far beyond the aforementioned mobility and parking services.
The Silent Intelligence: The Internet of Things by Daniel Kellmereit, Daniel Obodovski
Airbnb, Amazon Web Services, Any sufficiently advanced technology is indistinguishable from magic, autonomous vehicles, barriers to entry, business intelligence, call centre, Clayton Christensen, cloud computing, commoditize, connected car, crowdsourcing, data acquisition, en.wikipedia.org, Erik Brynjolfsson, first square of the chessboard, first square of the chessboard / second half of the chessboard, Freestyle chess, Google X / Alphabet X, Internet of things, lifelogging, Metcalfe’s law, Network effects, Paul Graham, Ray Kurzweil, RFID, Robert Metcalfe, self-driving car, Silicon Valley, smart cities, smart grid, software as a service, Steve Jobs, web application, Y Combinator, yield management
The third area would be security; the idea that someone can hack into their car would scare most people away. Sanjay Sarma used Airbnb.com as an example of how things that were almost unthinkable before can become big business and how what used to be a niche market went mainstream. Considering that a connected car, a CloudCar, can always be tracked with GPS, it’s unlikely that it’s going to be hijacked, or at least it can be quickly recovered if it is. There’s probably a big enough market of people who would not mind renting out their car for some time to others.18 Finally, the issue of security applies to all connected cars and homes and needs to be addressed. But the concept of CloudCar goes much further. If I publish the APIs to my car, other services can subscribe to it with my permission. For example, a dealership or a service shop could subscribe to a stream of data coming off my car sensors in real time.
Without any physical user intervention we would have very accurate maps of traffic, as an example. Cars can also communicate with one another and suggest the optimal speed to the driver to get to his or her destination sooner. Today, a rapidly growing industry using connected cars is Usage-Based Insurance, or UBI. Led by Progressive, the concept enables insurance companies to manage risk by better understanding driver behavior. Safe driving behavior gets rewarded with lower insurance premiums, which leads to more safe drivers on the roads. OnStar by GM was one of the first successful connected car applications. Not only does it provide remote assistance, it also has a digital crash signature, based on wide-ranging vehicle sensor data, which notifies emergency services and hospitals of a car crash and potential injuries.24 Just as with other industries, data generated by car sensors will have value that goes beyond the use cases of remote diagnostics, road assistance, navigation, UBI, or inter-car communication.
But if I was going to invest in Machine-to-Machine, I would probably be investing somewhere in the analytics space. Glenn Lurie sees the largest potential in the connected home and the connected car: I do believe we’ll see breakthroughs in automotive; I do believe we’ll see breakthroughs in health care. I do believe we’ll see some breakthroughs in tracking. Today we already track people, pallets, or pets with very low-cost devices. There are numerous opportunities with the capabilities of new devices that people have and what they are doing with them. I see two opportunities that will be massive as a whole: We have not yet seen a quality, scalable platform that will be what creates the digital home. The second one is the automobile. We have not truly seen what a fully connected car is and can do. People are spending a good chunk of their life in their car and their home; those two places to me have the greatest opportunity as they get connected, get smart, and start interacting with you in different ways.
Life as a Passenger: How Driverless Cars Will Change the World by David Kerrigan
3D printing, Airbnb, airport security, Albert Einstein, autonomous vehicles, big-box store, butterfly effect, call centre, car-free, Cesare Marchetti: Marchetti’s constant, Chris Urmson, commoditize, computer vision, congestion charging, connected car, DARPA: Urban Challenge, deskilling, disruptive innovation, edge city, Elon Musk, en.wikipedia.org, future of work, invention of the wheel, Just-in-time delivery, loss aversion, Lyft, Marchetti’s constant, Mars Rover, megacity, Menlo Park, Metcalfe’s law, Minecraft, Nash equilibrium, New Urbanism, QWERTY keyboard, Ralph Nader, RAND corporation, Ray Kurzweil, ride hailing / ride sharing, Rodney Brooks, Sam Peltzman, self-driving car, sensor fusion, Silicon Valley, Simon Kuznets, smart cities, Snapchat, Stanford marshmallow experiment, Steve Jobs, technoutopianism, the built environment, Thorstein Veblen, traffic fines, transit-oriented development, Travis Kalanick, Uber and Lyft, Uber for X, uber lyft, Unsafe at Any Speed, urban planning, urban sprawl, Yogi Berra, young professional, zero-sum game, Zipcar
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https://www.nhtsa.gov/staticfiles/rulemaking/pdf/Automated_Vehicles_Policy.pdf  http://www.post-gazette.com/opinion/Op-Ed/2016/09/19/Barack-Obama-Self-driving-yes-but-also-safe/stories/201609200027  http://www.popsci.com/cars/article/2013-09/google-self-driving-car#page-4  https://isearch.nhtsa.gov/files/Google%20--%20compiled%20response%20to%2012%20Nov%20%2015%20interp%20request%20--%204%20Feb%2016%20final.htm  Paul Scullion, safety manager at the Association of Global Automakers  http://www.mercurynews.com/2016/09/02/driving-regulation-how-lyft-works-to-shape-ride-hailing-legislation/  https://www.dmv.ca.gov/portal/dmv/detail/vr/autonomous/testing  http://money.cnn.com/2017/01/10/technology/new-york-self-driving-cars-ridesharing/index.html  https://www.wired.com/2016/05/detroit-wants-go-spot-self-driving-tech-big-automakers/  http://imgur.com/a/gNXJj  http://fortune.com/2015/12/02/somerville-driverless-car/  https://en.wikipedia.org/wiki/International_Driving_Permit#The_1949_convention  http://www.unece.org/info/media/presscurrent-press-h/transport/2016/unece-paves-the-way-for-automated-driving-by-updating-un-international-convention/doc.html  http://www.highwaycode.info/rule/160  http://www.highwaycode.info/rule/126  https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/581577/pathway-to-driverless-cars-consultation-response.pdf  http://www.statisticbrain.com/driving-citation-statistics/  http://www.telegraph.co.uk/news/uknews/road-and-rail-transport/11566026/How-is-your-driving-Half-of-drivers-admit-breaking-traffic-laws.html  https://www.brookings.edu/wp-content/uploads/2016/06/desouza.pdf  http://chicago.suntimes.com/news/7/71/1345175/judge-declares-red-light-speed-cam-tickets-void-city-violated-due-process  https://www.congress.gov/bill/115th-congress/senate-bill/680  https://www.ftc.gov/system/files/attachments/press-releases/ftc-nhtsa-conduct-workshop-june-28-privacy-security-issues-related-connected-automated-vehicles/notice_connected_cars_workshop_with_nhtsa_1.pdf  https://autoalliance.org/connected-cars/automotive-privacy-2/principles/  https://www.nhtsa.gov/technology-innovation/automated-vehicles  https://www.dmv.ca.gov/portal/wcm/connect/58a64bed-2bf3-449f-a270-822c208bb7f0/Volvo.pdf?MOD=AJPERES  https://www.automotiveisac.com/best-practices/  https://techcrunch.com/2015/10/23/connected-car-security-separating-fear-from-fact/  http://www.raymondloewy.com/about.html  https://www.ft.com/content/97a04f76-3494-11e7-99bd-13beb0903fa3  http://www.bbc.com/news/technology-35301279  https://static.nhtsa.gov/odi/inv/2016/INCLA-PE16007-7876.PDF  http://www.reuters.com/investigates/special-report/autos-driverless/  https://en.wikipedia.org/wiki/Stanford_marshmallow_experiment  https://www.scribd.com/document/333075344/Apple-Comments-on-Federal-Automated-Vehicles-Policy  Remarks at Infrastructure Week, May 2017  Technological Revolutions and Financial Capital, Carlota Perez, 2002  https://www.washingtonpost.com/news/innovations/wp/2014/10/14/move-over-humans-the-robocars-are-coming/  https://www.cnet.com/uk/news/a-brief-history-of-the-qwerty-keyboard/  http://www.wsj.com/articles/could-self-driving-cars-spell-the-end-of-ownership-1448986572  https://www.morganstanley.com/articles/autonomous-cars-the-future-is-now  https://www.wired.com/2016/04/american-cities-nowhere-near-ready-self-driving-cars/  Machiavelli, The Prince, Chapter 6  http://time.com/4236980/against-human-driving/  https://www.ft.com/content/e961f914-6ba3-11e6-ae5b-a7cc5dd5a28c  Paul Roberts, The Impulse Society: What's Wrong With Getting What We Want, 2014  http://content.time.com/time/magazine/article/0,9171,2033076,00.html  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A “Trip Computer” of old A 17” Tesla display You can even go into a gadget store and add smart technology to your existing car. Devices such as the Automatic (see below), that plug into a port in your car and report to an app, can offer smart features such as trip logging, engine light diagnostics, fill-up logging, crash alert, parking tracking and live vehicle tracking to virtually any car. Automatic Connected Car Adaptor and smartphone app. Ford announced a partnership with Amazon to allow you to ask your Amazon Echo to start your car or tell you the remaining range, just with a voice query. Sample Amazon Alexa conversation via Ford SYNC But in a sobering note for those rushing to add more technology to cars, there is evidence that cars which are already becoming bastions of technology are proving too much for some people.
Less than ideal situations like construction zones present a level of uncertainty that is currently difficult to manage, while aberrations like potholes or even puddles can unsettle a driverless car - a car whose ”mental” model mistakes a pedestrian for her reflection in a puddle or window can result in undesirable outcomes. In November 2015, in widely reported comments, an electronics researcher for Volkswagen, said at the Connected Car Expo event in Los Angeles that even a tumbleweed in the road can bring a driverless car to a halt. The point is valid in so far as an unknown object represents a challenge to a driverless car where normally none would exist for a human. I agree that we must plan for the unusual but we must also keep some perspective. Is it really any harm if a car stops for a tumbleweed? As long as the cars all stop, it’s better than the number of accidents caused by drivers avoiding more real obstacles today.
Driverless: Intelligent Cars and the Road Ahead by Hod Lipson, Melba Kurman
AI winter, Air France Flight 447, Amazon Mechanical Turk, autonomous vehicles, barriers to entry, butterfly effect, carbon footprint, Chris Urmson, cloud computing, computer vision, connected car, creative destruction, crowdsourcing, DARPA: Urban Challenge, digital map, Elon Musk, en.wikipedia.org, Erik Brynjolfsson, Google Earth, Google X / Alphabet X, high net worth, hive mind, ImageNet competition, income inequality, industrial robot, intermodal, Internet of things, job automation, Joseph Schumpeter, lone genius, Lyft, megacity, Network effects, New Urbanism, Oculus Rift, pattern recognition, performance metric, precision agriculture, RFID, ride hailing / ride sharing, Second Machine Age, self-driving car, Silicon Valley, smart cities, speech recognition, statistical model, Steve Jobs, technoutopianism, Tesla Model S, Travis Kalanick, Uber and Lyft, uber lyft, Unsafe at Any Speed
Now for the drawbacks. A roboticist would argue that the $100 million that has been earmarked for V2X pilots is money that should have been creatively and intelligently spent on addressing challenges in autonomous vehicle research. Not only is the notion of a “connected car” technologically inadequate and out of date, there are several significant practical barriers that ensure that V2X technologies will probably never gain real world traction. The biggest flaw in the U.S. Department of Transportation’s V2X strategy is that connected cars would improve safety and traffic flow only when two conditions are met: cars are fully autonomous (meaning no human is driving) and the majority of the vehicles on the road and all the roadsides are V2X equipped. Right now, we’re not close to either of these conditions.
If one car sent a false signal saying “I’m driving into the intersection at 100 MPH,” other nearby V2X-equipped cars would respond with a cacophony of frantic warning beeps, throwing their human drivers into a confused panic. Given all these shortcomings, why would intelligent people continue to promote the notion of V2X technologies? The answer is that V2X networks could offer tremendous value, but only in a world of fully autonomous vehicles, where connected cars could exchange data with the roadside infrastructure to optimize traffic flow in real-time, prioritize the passage of emergency vehicles, and warn other cars of hazardous road conditions. The great irony of federal plans to develop V2X networks is that the benefits of connected cars emerge only when every single car on the road is fully autonomous. Perhaps in the future, a new generation of hardware devices could reduce the cost of creating intelligent highways. As the number of connected devices has exploded in the past few years, the Internet of Things has become a popular phrase in technology circles.
Once the technology matures and driverless cars are usable and safe, consumers will eagerly embrace them. Driverless cars require extensive investment in infrastructure. The software that guides driverless cars relies on clear lane marks, but beyond that, driverless cars require no special infrastructure. One reason for this misperception could be that for decades, the U.S. Department of Transportation has focused its resources on promoting its vision of a connected car, a scenario in which cars and roadside infrastructure are equipped with expensive wireless transmitters to share data. In contrast, driverless cars will use robotic machine-vision technologies and stored digital map data that place the intelligence into the car, not into the road. Driverless cars represent an ethical dilemma. A driverless car is no more or less ethical than a human. Arguments claiming that driverless cars pose an ethical challenge stem from the uncomfortable fact that intelligent software guiding the car must at some point quantify the value of human and animal life in order to decide what the car’s response should be in an impending accident.
The Art of Invisibility: The World's Most Famous Hacker Teaches You How to Be Safe in the Age of Big Brother and Big Data by Kevin Mitnick, Mikko Hypponen, Robert Vamosi
4chan, big-box store, bitcoin, blockchain, connected car, crowdsourcing, Edward Snowden, en.wikipedia.org, Firefox, Google Chrome, Google Earth, Internet of things, Kickstarter, license plate recognition, Mark Zuckerberg, MITM: man-in-the-middle, pattern recognition, ransomware, Ross Ulbricht, self-driving car, Silicon Valley, Skype, Snapchat, speech recognition, Tesla Model S, web application, WikiLeaks, zero day, Zimmermann PGP
Tammany Parish Sheriff’s Office, the Jefferson Parish Sheriff’s Office, and the Kenner Police Department, in Louisiana; the Hialeah Police Department, in Florida; and the University of Southern California Department of Public Safety. 17. http://www.forbes.com/sites/robertvamosi/2015/05/04/dont-sell-that-connected-car-or-home-just-yet/. 18. https://www.washingtonpost.com/blogs/the-switch/wp/2015/06/24/tesla-says-its-drivers-have-traveled-a-billion-miles-and-tesla-knows-how-many-miles-youve-driven/. 19. http://www.dhanjani.com/blog/2014/03/curosry-evaluation-of-the-tesla-model-s-we-cant-protect-our-cars-like-we-protect-our-workstations.html. 20. http://www.teslamotors.com/blog/most-peculiar-test-drive. 21. http://www.forbes.com/sites/kashmirhill/2013/02/19/the-big-privacy-takeaway-from-tesla-vs-the-new-york-times/. 22. http://www.wired.com/2015/07/gadget-hacks-gm-cars-locate-unlock-start/. 23. http://spectrum.ieee.org/cars-that-think/transportation/advanced-cars/researchers-prove-connected-cars-can-be-tracked. 24. http://www.wired.com/2015/10/cars-that-talk-to-each-other-are-much-easier-to-spy-on/. 25. https://grahamcluley.com/2013/07/volkswagen-security-flaws/. 26. https://grahamcluley.com/2015/07/land-rover-cars-bug/. 27. http://www.wired.com/2015/07/hackers-remotely-kill-jeep-highway/. 28. http://www.forbes.com/sites/robertvamosi/2015/03/24/securing-connected-cars-one-chip-at-a-time/. 29. http://www.nytimes.com/2016/07/30/business/tesla-faults-teslas-brakes-but-not-autopilot-in-fatal-crash.html.
This occurred just as I reached a long overpass, with no shoulder to offer an escape. The experiment had ceased to be fun.” Afterward, the researchers faced some criticism for being “reckless” and “dangerous.” Greenberg’s Jeep was on a public road, not on a test track, so Missouri law enforcement is, at the time of this writing, still considering pressing charges against Miller and Valasek—and possibly Greenberg. Hacking connected cars remotely has been talked about for years, but it took Miller and Valasek’s experiment to get the automobile industry to pay attention. Whether it was “stunt hacking” or legitimate research, it got car manufacturers to start thinking seriously about cybersafety—and about whether Congress should prohibit the hacking of automobiles.2 Other researchers have shown they can reverse engineer the protocol controlling your vehicle by intercepting and analyzing the GSM or CDMA traffic from your car’s onboard computer to the automaker’s systems.
Miller and Valasek told an audience at DEF CON 23 that they had realized they could do that—take over cars in other states—but they knew it wasn’t ethical. Instead they conducted their controlled experiment with Greenberg in Miller’s hometown. In this chapter I’ll discuss the various ways the cars we drive, the trains we ride, and the mobile apps we use to power our daily commute to work are vulnerable to cyberattacks, not to mention the numerous privacy compromises that our connected cars introduce into our lives. When Johana Bhuiyan, a reporter for BuzzFeed, arrived at the New York offices of Uber, the car-calling service, in one of Uber’s own cars, Josh Mohrer, the general manager, was waiting. “There you are,” he said, holding up his iPhone. “I was tracking you.” It was not an auspicious start to their interview, which touched upon, among other things, consumer privacy.4 Until Bhuiyan’s story appeared, in November of 2014, few outside of Uber were even aware of God View, a tool with which Uber tracks the location of its thousands of contract drivers as well as their customers, all in real time.
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
One part of the show was dedicated to smart televisions—devices much more intelligent than most TV shows themselves. Indeed, South Korean electronics giant LG’s connected televisions are so intelligent that they are already logging our viewing habits in order to serve us up targeted ads.26 Another part of CES was dedicated to the connected car—automobiles that are so all-seeing they know our speed, our location, and whether or not we are wearing our seat belt. According to the consultancy Booz, the market for connected cars is about to explode, with demand expected to quadruple between 2015 and 2020 and generate revenues of $113 billion by 2020.27 But even today’s connected car is a data machine, with the onboard cameras from Mercedes-Benz’s new S-Class saloon already generating 300 gigabytes of data per hour about the car’s location and speed and the driver’s habits.28 And then there’s Google’s driverless car, an artificially intelligent, networked car that is driven by software called Google Chauffeur.
They fear a world resembling that exhibition at the Venetian in which row after row of nameless, faceless data gatherers wearing all-seeing electronic glasses watch our every move. Big Brother seemed ubiquitous at the Venetian. Reporting about CES, the Guardian’s Dan Gillmor warned that networked televisions that “watch us” are “closing in on Orwell’s nightmarish Big Brother vision.”32 Even industry executives are fearful of the Internet of Things’s impact on privacy, with Martin Winterkorn, the CEO of Volkswagen, warning in March 2014 that the connected car of the future “must not become a data monster.”33 But there is one fundamental difference between the Internet of Things and Erich Mielke’s twentieth-century Big Brother surveillance state, one thing distinguishing today’s networked society from Orwell’s 1984. Mielke wanted to create crystal man against our will; in today’s world of Google Glass and Facebook updates, however, we are choosing to live in a crystal republic where our networked cars, cell phones, refrigerators, and televisions watch us.
Driverless Cars: On a Road to Nowhere by Christian Wolmar
Airbnb, autonomous vehicles, Beeching cuts, bitcoin, Boris Johnson, BRICs, carbon footprint, Chris Urmson, cognitive dissonance, congestion charging, connected car, deskilling, Diane Coyle, don't be evil, Elon Musk, high net worth, RAND corporation, ride hailing / ride sharing, self-driving car, Silicon Valley, smart cities, Tesla Model S, Travis Kalanick, wikimedia commons, Zipcar
They rarely refer to these levels, and this results in ill-informed journalists simply parroting the sort of claims made about the imminent arrival of driverless cars mentioned in the previous chapter. Shared use There is undoubtedly a trend, particularly among millennials, of being less interested in owning – or even driving – a car compared with the previous generation. A PriceWaterhouseCoopers report on connected cars suggests that ‘urban residents in Western markets appear to be losing interest in owning their own cars, a trend exacerbated by their desire to move to urban areas, where cars simply aren’t a requirement, and where public transport and ride-sharing apps can easily fulfil their needs’.29 Indeed. But this has to be put into context: global figures for car sales are still rising, in line with economic growth, and the shared-use concept has therefore only been adopted by a small urban-living minority.
House of Lords, Science and Technology Select Committee (2nd Report of Session 2016–17). 2017. Connected and autonomous vehicles: the future? House of Lords Paper 115 (http://bit.ly/2f1aBbK). 27. K. Naughton. 2017. Ford’s dozing engineers side with google in full autonomy push. Bloomberg Technology website, 17 February (https://bloom.bg/2kFiYKQ). 28. See note 9. 29. R. Vierecki et al. 2016. Connected car report 2016: opportunities, risk, and turmoil on the road to autonomous vehicles. Strategy&, 28 September (https://pwc.to/2wUs3IT). 30. Interview with the author. 116 Endnotes 31. R. Dingess. 2017. Effective road markings are key to an auto- mated vehicle future. Top Marks (the magazine of the Road Safety Markings Association), Edition 19. 32. Forecasts. Driverless Car Market Watch website (http://bit.
Subscribed: Why the Subscription Model Will Be Your Company's Future - and What to Do About It by Tien Tzuo, Gabe Weisert
3D printing, Airbnb, airport security, Amazon Web Services, augmented reality, autonomous vehicles, blockchain, Build a better mousetrap, business cycle, business intelligence, business process, call centre, cloud computing, cognitive dissonance, connected car, death of newspapers, digital twin, double entry bookkeeping, Elon Musk, factory automation, fiat currency, Internet of things, inventory management, iterative process, Jeff Bezos, Kevin Kelly, Lean Startup, Lyft, manufacturing employment, minimum viable product, natural language processing, Network effects, Nicholas Carr, nuclear winter, pets.com, profit maximization, race to the bottom, ride hailing / ride sharing, Sand Hill Road, shareholder value, Silicon Valley, skunkworks, smart meter, social graph, software as a service, spice trade, Steve Ballmer, Steve Jobs, subscription business, Tim Cook: Apple, transport as a service, Uber and Lyft, uber lyft, Y2K, Zipcar
CELL PHONES ON WHEELS Today the accepted Silicon Valley wisdom is that as cars turn into cell phones on wheels, software will inevitably trump hardware, just as Microsoft trumped IBM. As lithium batteries replace combustion engines, automobile hardware will become commodified, and the new growth market will be in information services. The analyst firm Gartner predicts that there will be 250 million connected cars on the road by 2020. That means one in every three cars on the road will be connected. By then, digital diagnostics, infotainment channels, and enhanced navigation systems are expected to constitute a $270 billion industry, up from $47 billion today. At some point, the data and services associated with a vehicle may be worth more than the vehicle itself (much like a cell phone!). GM’s OnStar, for example, which started in 1996 as a concierge service, is now in more than 12 million vehicles and hosted more than 1.5 billion customer interactions last year.
THE INTERNET OF THINGS Over the past five years, thousands of manufacturing businesses around the world have quietly been investing huge sums of money into sensors and connectivity. They’ve been hard at work putting sensors into everything they make: doors, chairs, pipes, tiles, windows, tables, sidewalks, rebar, lights, shoes, bottles, tires, bricks, etc. According to various predictions, by 2020 we’re expected to have more than a billion smart meters, 100 million connected lightbulbs, more than 150 million 4G-connected cars, 200 million smart home units, several billion smart clothing units, more than 90 million wearables. And what do these sensors allow these products to do? Collect and transmit data—lots of it. All of these products will be beaming information back into centralized servers, so companies can start using analytic platforms to look for patterns and ways to improve things (you want to talk big data?
You Will Subscribe to It,”Slate, December 2, 2017, www.slate.com/articles/technology/technology/2017/12/car_subscriptions_ford_volvo_porsche_and_cadillac_offer_lease_alternative.html. a sports bar, with a bartender “The Rev-Up: Imagining a 20% Self Driving World,” The New York Times, November 8, 2017, www.nytimes.com/interactive/2017/11/08/magazine/tech-design-future-autonomous-car-20-percent-sex-death-liability.html?_r=0. 250 million connected cars on the road by 2020 “Gartner Says by 2020, a Quarter Billion Connected Vehicles Will Enable New In-Vehicle Services and Automated Driving Capabilities,” January 26, 2015, www.gartner.com/newsroom/id/2970017. Without control over the platform, PC hardware Horace Dediu, “IBM and Apple: Catharsis,” July 15, 2014, www.asymco.com/2014/07/15/catharsis. the cars weren’t connected “Subscribed San Francisco 2017 Opening Keynote,” Zuora Subscribed conference presentation, June 5, 2017, www.youtube.com/watch?
The Industries of the Future by Alec Ross
23andMe, 3D printing, Airbnb, algorithmic trading, AltaVista, Anne Wojcicki, autonomous vehicles, banking crisis, barriers to entry, Bernie Madoff, bioinformatics, bitcoin, blockchain, Brian Krebs, British Empire, business intelligence, call centre, carbon footprint, cloud computing, collaborative consumption, connected car, corporate governance, Credit Default Swap, cryptocurrency, David Brooks, disintermediation, Dissolution of the Soviet Union, distributed ledger, Edward Glaeser, Edward Snowden, en.wikipedia.org, Erik Brynjolfsson, fiat currency, future of work, global supply chain, Google X / Alphabet X, industrial robot, Internet of things, invention of the printing press, Jaron Lanier, Jeff Bezos, job automation, John Markoff, Joi Ito, Kickstarter, knowledge economy, knowledge worker, lifelogging, litecoin, M-Pesa, Marc Andreessen, Mark Zuckerberg, Mikhail Gorbachev, mobile money, money: store of value / unit of account / medium of exchange, Nelson Mandela, new economy, offshore financial centre, open economy, Parag Khanna, paypal mafia, peer-to-peer, peer-to-peer lending, personalized medicine, Peter Thiel, precision agriculture, pre–internet, RAND corporation, Ray Kurzweil, recommendation engine, ride hailing / ride sharing, Rubik’s Cube, Satoshi Nakamoto, selective serotonin reuptake inhibitor (SSRI), self-driving car, sharing economy, Silicon Valley, Silicon Valley startup, Skype, smart cities, social graph, software as a service, special economic zone, supply-chain management, supply-chain management software, technoutopianism, The Future of Employment, Travis Kalanick, underbanked, Vernor Vinge, Watson beat the top human players on Jeopardy!, women in the workforce, Y Combinator, young professional
For context, the GDP: “Report for Selected Country Groups and Subjects,” International Monetary Fund: World Economic Outlook Database, October 2014, http://www.imf.org/external/pubs/ft/weo/2014/02/weodata/weorept.aspx?pr.x=41&pr.y=10&sy=2014&ey=2014&scsm=1&ssd=1&sort=country&ds=.&br=1&c=001%2C998&s=NGDPD%2CPPPGDP&grp=1&a=1. The first is the number of: Keith Naughton, “The Race to Market the Connected Car,” Automotive News, January 10, 2014, http://www.autonews.com/article/20140110/OEM06/301109910/the-race-to-market-the-connected-car. According to a Juniper research report: “Smart Home Revenues to Reach $71 Billion by 2018, Juniper Research Finds,” Juniper Research, February 11, 2014, http://www.juniperresearch.com/viewpressrelease.php?pr=429. A McKinsey report projects: James Manyika and Michael Chui, “All Things Online,” McKinsey Global Institute, McKinsey & Company, September 23, 2013, http://www.mckinsey.com/insights/mgi/in_the_news/all_things_online.
From 2015 to 2020, the number of wireless connected devices is going to grow from an estimated 16 billion to 40 billion. Chambers predicts that the Internet of Things will grow to be a $19 trillion global market. For context, the GDP of the entire world is currently just a little more than $100 trillion. The growth of the Internet of Things is motivated by four main drivers. The first is the number of Internet-connected cars on the road, expected to grow from 23 million in 2015 to 152 million in 2020. The second driver is the advent of wearable technology, which doubled in use between 2013 and 2014. The third driver is the addition of smart controls in our homes, from thermostats to security systems to just about everything else. According to a Juniper research report, revenues generated from smart home services are expected to reach a global market value of $71 billion by 2018.
As he was explaining this to me, I was imagining what could happen if a system controlling home care robots were hacked. Could it be a way to hurt people? In July 2015, hackers managed to remotely infiltrate and shut down a Jeep Cherokee while it was speeding along the highway. What if, 20 years from now when some variant of the Google car has taken over the highways, someone were to hack the entire network of Google cars? Imagine a highway’s worth of connected cars all going haywire at the same time—the potential for a pileup bigger than anything we’ve ever seen. Soon all the networked “things” in our lives could potentially be used as hacking platforms. It’s hard to imagine your refrigerator being hacked, but the reality is that it has already happened. In January 2014, security provider Proofpoint uncovered a phishing attack that targeted consumer devices including home routers, televisions, and, yes, refrigerators.
The Startup Way: Making Entrepreneurship a Fundamental Discipline of Every Enterprise by Eric Ries
activist fund / activist shareholder / activist investor, Affordable Care Act / Obamacare, Airbnb, autonomous vehicles, barriers to entry, basic income, Ben Horowitz, Black-Scholes formula, call centre, centralized clearinghouse, Clayton Christensen, cognitive dissonance, connected car, corporate governance, DevOps, Elon Musk, en.wikipedia.org, fault tolerance, Frederick Winslow Taylor, global supply chain, index card, Jeff Bezos, Kickstarter, Lean Startup, loss aversion, Marc Andreessen, Mark Zuckerberg, means of production, minimum viable product, moral hazard, move fast and break things, move fast and break things, obamacare, peer-to-peer, place-making, rent-seeking, Richard Florida, Sam Altman, Sand Hill Road, secular stagnation, shareholder value, Silicon Valley, Silicon Valley startup, six sigma, skunkworks, Steve Jobs, the scientific method, time value of money, Toyota Production System, Uber for X, universal basic income, web of trust, Y Combinator
Commit to always making it right for the customer, no matter the cost (remember, you won’t have very many customers at first). A tie between what is measured and at least one LOFA. If we’re not using an experiment to test an assumption, it’s not giving us useful information. THE CONNECTED CAR After the meeting with Toyota executives I described in Chapter 1 took place, Matt Kresse, a researcher at the company’s innovation hub, the InfoTechnology Center (ITC), and those same executives agreed to the idea of a Lean Startup project. In March of 2013, Kresse and Vinuth Rai, director of the Toyota InfoTechnology Center, began a series of experiments designed to discover and develop state-of-the-art technology for an Internet-connected car. Their first step was to test an assumption: They ran an ad on Craigslist under the heading “Do you hate your commute?,” inviting people to come into the research center and complain about their current driving experience.
See teams Crossing the Chasm (Moore) culture, itr.1, itr.2, 1.1, 2.1, p02.1, p02.2, 6.1 incubating of startups, p01.1, 3.1 Startup Way, 5.1, 5.2, 5.3, 8.1 transformation and, 6.1, 7.1 customers, itr.1, 1.1, 1.2, 1.3, 2.1, 3.1, 4.1, 5.1, 6.1, 6.2, 6.3, 7.1 Amazon and, 3.1, 4.1 Citi D10X and designing an experiment for engagement of growth hypothesis and innovation accounting and Lean Startup method and, 7.1, 7.2 modern company and, 1.1, 1.2 MVPs and, 4.1, 4.2, nts.1n1 per-customer learning metrics startups and value and growth hypotheses See also leap-of-faith assumptions cycle time, 4.1, 6.1, 6.2, 6.3, 6.4 DeLeonardo, Guy, 6.1 Dickerson, Mikey, 3.1, p02.1, p02.2, 6.1, 7.1, 7.2, 7.3, 8.1 Dollar Shave Club Dropbox, itr.1, p01.1, 1.1, 6.1, 6.2, 6.3, 7.1, 9.1 Drucker, Peter, nts.1n6, nts.2n1 Duncan, Robert, n2 Durvy, Mathilde Eisenmann, Tom, 11.1 Ellis, Sean Emerald Cloud Lab, p01.1, 5.1 employees, itr.1, 1.1, 2.1, 3.1, 3.2 company’s culture and creative, itr.1, 1.1, 1.2, 2.1, 5.1 as entrepreneurs, itr.1, itr.2, itr.3, itr.4, itr.5, 1.1, 2.1, 2.2, 2.3, 2.4, 9.1, p03.1 equity ownership, 3.1, 8.1 hiring, itr.1, 2.1, 3.1, 3.2, 7.1, 8.1, nts.1n4 incentivizing, 5.1, 8.1 non-compete agreements, 11.1, nts.1n5 performance evaluation Startup Way and, 5.1, 5.2, 5.3 entitlement funding, 1.1, 3.1, 7.1 entrepreneurial management, itr.1, itr.2, itr.3, itr.4, 5.1, 5.2, epl.1 entrepreneurs, itr.1, 1.1 within a company, itr.1, itr.2, itr.3, itr.4, itr.5, 1.1, 2.1, 2.2, 2.3, 2.4, 9.1, p03.1 factors that motivate “plausible promise,” recognizing, 2.1, 2.2, 2.3, 2.4 teaching skills of UBI and, 11.1, nts.1n20 entrepreneurship (missing function), itr.1, itr.2, itr.3, 2.1, 2.2, 2.3, 9.1, p03.1, 10.1 1st responsibility 2nd responsibility boundary-blurring of as a career path, 3.1, p03.1, 10.1 coaching and, 2.1, 7.1, 10.1 corporate, 10.1, 10.2 integration of learning by doing missing organizational capabilities and, 2.1, 5.1 non-entrepreneurs and, 2.1, 10.1 organizational structure and, 2.1, 2.2, 5.1, 5.2, 10.1, 10.2 responsibilities and scope unified theory of equity ownership, 3.1, 8.1, nts.1n8, nts.2n10 Essey, Ed, 7.1 executive-level champions executive sponsors, 6.1, 7.1, 7.2, 7.3, 9.1 experimentation, p01.1, 2.1, 2.2, 2.3, 4.1, 4.2, 6.1, 7.1, 8.1, 8.2, 10.1, 11.1, 11.2 business model experiments compensation and designing an experiment funding innovation accounting and Lean Startup method and metrics and modern management, itr.1, 1.1, 2.1, 6.1 MVPs and, 2.1, 4.1, 6.1 organizational support, 2.1, 3.1, 4.1, p03.1, epl.1 Phase One and, p02.1, 6.1 process for, 4.1, 5.1, 6.1, 9.1 rapid, itr.1, itr.2, 1.1, 1.2, 1.3, 1.4, 4.1, 4.2, 5.1 testing assumptions working by exception Facebook, itr.1, 1.1, 1.2, 3.1, 3.2, 3.3, 6.1, 7.1, 7.2, 8.1, 9.1 failure at Amazon, 1.1, 3.1, 5.1 at Dropbox experimentation and, 3.1, 5.1, 6.1 leadership and productive failures, 1.1, 2.1 risks and liabilities, 7.1, 11.1 startups and, 1.1, 1.2, 2.1, 9.1 traditional approach to, 1.1, 1.2 See also validation learning Fante, Matt Ferdowsi, Arash finance, 2.1, 2.2, 9.1 board/investor dynamics department, 8.1, 8.2 entitlement funding, 3.1, 7.1, 9.1 equity ownership, 3.1, 8.1 innovation accounting and internal startups and, 7.1, 9.1, 9.2, 9.3, 9.4, 10.1 metered funding, 3.1, 7.1, 7.2, 9.1 milestones and, 2.1, 4.1, 5.1, 8.1 seed-stage funding startups, 3.1, 3.2, 5.1, 9.1 See also innovation accounting; venture capital Flannery, John, 8.1, 8.2 Flight of the Creative Class, The (Florida), 11.1 Florida, Richard Ford, Henry Ford, Jason forecasts, 1.1, 1.2, 2.1, 2.2, 3.1, 6.1, 6.2, 9.1 founders, 5.1, 6.1, 7.1, 7.2, 8.1, 8.2, 8.3, 8.4, 9.1, 9.2, 9.3, 9.4, p03.1, 10.1, nts.1n10 “founder mentality,” immigrant Frezza, Brian, 5.1, nts.1n10 Gabler, Neal, 8.1 Gallagher, Leigh, 8.1, 8.2 gatekeepers, 8.1, 9.1, 9.2 GE (General Electric), itr.1, itr.2, itr.3, itr.4, 1.1, 2.1, 6.1, 6.2, p03.1 appliances, 2.1, 7.1, nts.1n5 backup power system project, 6.1, nts.1n8 Business Innovations business model experiments Corporate Audit Staff cross-functional teams Current Employee Management System ERP systems executive-level champions FastWorks, itr.1, itr.2, 1.1, 2.1, 2.2, 2.3, 4.1, 6.1, 6.2, 6.3, 6.4, 6.5, 7.1, 7.2, 8.1, 8.2, 8.3, 9.1, 9.2, 10.1, nts.1n2 FastWorks Everyday, 2.1, 8.1 FLE project GE Beliefs, 6.1, 8.1 growth boards, 6.1, 7.1, 9.1, nts.1n3 Imagination Breakthrough Oil & Gas, 9.1, nts.1n1 PD@GE, 8.1, p03.1, 10.1 Series X, itr.1, itr.2, itr.3, 2.1, 6.1, 6.2 Six Sigma, 1.1, 7.1 Sustainable Healthcare Solutions transformation, 6.1, 6.2, 6.3 Ventures Gebbia, Joe, 8.1, 8.2, 8.3 Gebhardt, Eric, 9.1, 9.2 Gelobter, Lisa, 4.1, 4.2, 7.1 Gesher, Ari, p01.1, nts.1n3 Global Innovation Fund (GIF), 7.1, 11.1, nts.1n6 “Golden Sword,” 6.1, 6.2 Goldstein, Viv, 6.1, 6.2, 6.3, 7.1, 7.2, 8.1, 8.2, 10.1, 10.2 Google, 3.1, 3.2, p02.1, p02.2, 6.1, 7.1 Ads Gorman, Marilyn, n1 GM (General Motors) Groupon growth, itr.1, itr.2, p01.1, 1.1, 1.2 engines of entrepreneurship and failure and, 1.1, 6.1 hockey-stick pattern, 3.1, 3.2, 6.1, 7.1, 9.1, 9.2 law of sustainable growth long-term, itr.1, 1.1, 6.1, 9.1, 9.2 modern company and, 1.1, 1.2 short-term growth boards, 4.1, 6.1, 6.2, 6.3, 7.1, 7.2, 7.3, 9.1, 10.1, nts.1n9 funding and, 9.1, 9.2 how they operate how to set up three responsibilities of growth hypothesis, 4.1, 4.2, 9.1 Hammond, Samuel, 11.1 Harvard Business School HealthCare.gov, 2.1, p02.1, 6.1, 6.2, 7.1, 7.2, 8.1, 11.1 health care systems Hipmunk Hoffman, Reid, p03.1, nts.1n1 Holmes, Ryan Hootsuite Hopkins, Debby Horowitz, Ben Houston, Drew HR (human resources), 8.1, 10.1, 10.2 hypergrowth, p01.1, 2.1, 3.1, 6.1 Hysen, Eric, 8.1, 8.2 IBM, 6.1, 7.1 I-Corps, 11.1, 8.1 Immelt, Jeffrey, itr.1, 1.1, 5.1, 6.1, 6.2, 6.3, 6.4, 7.1, 7.2, 7.3 IMVU, 3.1, 9.1, 9.2, 9.3 innovation, itr.1, itr.2, itr.3, itr.4, 1.1, 1.2, 1.3, 1.4, 1.5, 2.1 company-wide continuous, itr.1, itr.2, itr.3, p01.1, 1.1, 1.2, 1.3, 2.1, 4.1, 8.1, 10.1 management for, itr.1, 1.1, 1.2, 5.1 organizational structure and, p01.1, 1.1, 1.2, 1.3, 2.1 “sustaining innovations,” n3 See also entrepreneurship innovation accounting (IA), itr.1, 1.1, 8.1, 9.1 audit bingo cards, 9.1, 9.2, 9.3 finance’s role growth boards Level 1 dashboard, 9.1, 9.2, 9.3, 9.4 Level 2 dashboard, 9.1, 9.2 Level 3 dashboard, 9.1, 9.2 net present value and, 9.1, 9.2, 9.3 NPS score per-customer learning metrics quantifying learning and, 9.1, 9.2 three levels of what it is Innovator’s Dilemma, The (Christensen), 2.1, 9.1 internal startups (or startup projects), itr.1, p01.1, 1.1, 2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 5.1, 7.1, 8.1 as atomic unit of work, itr.1, itr.2, 2.1, 2.2, 3.1 backlash for success of company-wide innovation compensation and constraints and funding, 2.1, 7.1, 7.2, 9.1, 9.2, 9.3, 9.4, 10.1 growth boards and, 7.1, 9.1 guidance document for hidden integrating killing, 5.1, 9.1, 9.2 leadership and, 5.1, 7.1, 9.1 scope creep, 1.1, 2.1 teams for working by exception, 6.1, 7.1 Intuit, itr.1, itr.2, 2.1, 7.1, 8.1 Design for Delight, 4.1, 6.1, 7.1 Lean StartIN program MVPs and, 4.1, 4.2, 4.3, app2.1 TurboTax division IT (information technology) department, 8.1, 10.1, 10.2 iterations, 4.1, 4.2, 4.3, 5.1, p02.1, 6.1, 6.2, 8.1, 8.2, 8.3 Jackson, Todd, 1.1, 6.1, 6.2, 9.1 Jobs, Steve, 2.1, 2.2, 10.1 Jurado Apruzzese, Susana Kidder, David, 7.1, 9.1, 9.2, 9.3 Kodak Kresse, Matt Kundra, Vivek Lawson, Jeff, 3.1 Leader’s Guide, The (Ries), 4.1, 4.2, nts.1n3 leadership, 1.1, 4.1, 5.1 for entrepreneurship, itr.1, 2.1, 2.2 “Golden Sword” for, 6.1, 6.2 loss of metrics and modern company, 1.1, 1.2 for transformation, 7.1, 10.1, 10.2, 9.1 Lean Impact lean manufacturing theory, 1.1, 4.1, 5.1, 5.2, 5.3, 6.1, 7.1, 8.1 Lean Startup, The (Ries), itr.1, itr.2, itr.3, itr.4, 1.1, 3.1, 3.2, 3.3, 3.4, 4.1, 4.2, 5.1, 6.1, 9.1, 10.1, 11.1, 11.2, 11.3 Lean Startup method, itr.1, itr.2, itr.3, 2.1, 3.1, 4.1, 6.1, 6.2, 7.1, 10.1 ethos of, 1.1, 3.1, 11.1 “founder mentality,” teaching of how the Lean Startup works for leaders living its philosophy teaching of tools and processes of Toyota and vision and See also specific factors leap-of-faith assumptions (LOFA), 4.1, 4.2, 4.3, 6.1, 9.1, 9.2 GE’s, 4.1, 6.1, 6.2 at Intuit MVP Scoring Chart, 4.1 Prioritizing, 4.1 testing, 4.1, 4.2 three-question survey value and growth hypotheses Lefler, Brian, 6.1, 8.1 legal departments Liguori, Steve, 6.1, 7.1, nts.1n1 Liker, Jeffrey LinkedIn Little, Mark, 6.1, nts.1n3 Long-Term Stock Exchange (LTSE, ltse.com), 11.1 Mahan, Michael, 2.1, 7.1 Malatack, Patrick, 4.1, 6.1 management, 1.1, 2.1 of corporate teams the entrepreneurial function for innovation, 1.1, 1.2, 1.3 legacy systems of modern company portfolio, 1.1, 1.2, 2.1, 5.1 traditional, 1.1, 1.2, 2.1, 2.2, 2.3 See also entrepreneurial management marketplace of uncertainty, 1.1, 4.1 Marx, Karl Mazzucato, Mariana McChrystal, Stanley meritocracy, 2.1, 2.2, 3.1 metered funding, 1.1, 3.1, 3.2, 7.1, 7.2, 8.1, 9.1 metrics, 2.1, 2.2, 3.1, 4.1, 6.1, 9.1 GE Oil & Gas leading indicators, 3.1, 4.1, 6.1, 9.1, 9.2, 9.3, nts.1n1 “one metric that matters,” per-customer learning metrics ROI, 1.1, 2.1, 3.1, 6.1, 7.1, 9.1, 9.2, 9.3, p03.1 simplified startup-style types of validated learning and, 4.1, 6.1 vanity metrics, 1.1, 3.1, 4.1, 9.1 See also innovation accounting metrics dashboard Microsoft Microsoft Garage middle managers, itr.1, 1.1, 2.1, 5.1, 6.1, 7.1, 7.2, 9.1 Miguel, Pedro milestones, 2.1, 4.1, 5.1, 8.1, 9.1 Miller, Jamie, n3 minimum viable product (MVP), itr.1, itr.2, 2.1, 3.1, 4.1, 4.2, 4.3, 4.4, 5.1, 7.1, p03.1, nts.1n9 build-measure-learn loop and College Scorecard’s, 4.1, 4.2, 4.3 cycle time and, 4.1, 6.1 at GE, 4.1, 6.1, 6.2, 6.3, 8.1, nts.1n8 I-Corps and Internet-connected car at Intuit, 4.1, 4.2, app2.1 risk containment and types of modern company dealing with failure, 1.1, 1.2 entrepreneurship and, itr.1, itr.2, 1.1, 2.1, 2.2, 2.3 hallmark of how companies grow up identifying, versus traditional leaders’ role, 1.1, 1.2, 1.3 legacy and management approach for management portfolio for marketplace of uncertainty Moltke, Helmuth von Moore, Geoffrey Moskovitz, Dustin Mullenweg, Matt Musk, Elon My Years with General Motors (Sloan) Nelson, Cory, 2.1, 6.1, 6.2, nts.1n1 Netflix net promoter score (NPS) Ng, Roy Niskanen Center Obama, Barack, 2.1, 4.1, p02.1, 6.1, 7.1, 11.1, 11.2 Ohanian, Alexis O’Reilly, Tim organizational structure, itr.1, itr.2, 2.1, 2.2, 2.3, 5.1, 5.2, 5.3, 10.1 charts, 2.1, 5.1, 10.1 outcomes of transformation silos, 1.1, 5.1, 10.1 underground network, 2.1, 7.1 Pahlka, Jennifer, 7.1 Palantir, p01.1, 10.1 Park, Todd, p02.1, 6.1, 6.2, 7.1, 7.2, 9.1, 10.1, 11.1 PayPal, 4.1, 9.1 Peters, Susan, n3 Phase One (critical mass), p02.1, p02.2, 6.1 common patterns cross-functional teams and designing an experiment language for measuring success and motivations for starting small wielding the Golden Sword working by exception, 6.1, 7.1 Phase Two (scaling up), p02.1, p02.2, 7.1 backlash and, 7.1, 7.2 challenges of pilot teams common patterns crossing the chasm, 7.1, 7.2 executive champions, 7.1, 7.2 growth boards for, 7.1, 7.2 internal coaching for metered funding and, 7.1, 7.2 resistance from within, 7.1, 7.2 sharing information training for widespread rollout for Phase Three (deep systems), p02.1, p02.2, 8.1 “building that airplane,” compensation and hiring cultural acclimation departments involved guidance document for procurement systems second founding and pivot, itr.1, itr.2, 3.1, 3.2, 4.1, 4.2, 4.3, 7.1, 8.1, 8.2, 9.1 pivot-or-persevere meeting, 4.1, 4.2, 4.3, 9.1, 9.2 the pivot to oblivion vision and, 3.1, 3.2, 4.1, 4.2, 4.3 what it is, 3.1, 3.2, 4.1, 4.2 Pivotal (software company) Presidential Innovation Fellows (PIF) program, 2.1, 6.1, 7.1, 8.1 Principles of Scientific Management, The (Taylor), 11.1 process, itr.1, 6.1 Lean Startup Startup Way, 5.1, 5.2, 5.3 product, 1.1, 1.2, 1.3, 2.1, 3.1, 4.1, 5.1, 5.2, 7.1 Andreessen on hypergrowth and creating the right, 5.1, 6.1, nts.1n6 cycle time, 4.1, 6.1 distribution experiments for testing LOFA and MVP testing, 4.1, 4.2 NPIs public policy changes, 11.1, nts.1n1 Rackspace Rai, Vinuth, 6.1, 6.2 reddit Revolution LLC, n2 Richards, James RIM Rise of the Rest Rosenstein, Justin Ruskin, Mollie Ruthenbeck, Justin SafeBoda Sandberg, Sheryl scale, 5.1, p02.1, 6.1, 8.1, 9.1 See also Phase Two (scaling up) Schwartz, Mark, 8.1 scope creep, 1.1, 2.1, 6.1 Seattle Children’s Hospital second founding, itr.1, 8.1, 9.1, p03.1 seed funding, 9.1, 9.2 Semper, Janice, 6.1, 6.2, 7.1, 7.2, 8.1, 8.2, 8.3, p03.1, 10.1, 10.2 Sferruzza, Silvio, 4.1, 4.2 short-termism, 11.1, epl.1 Silicon Valley, p01.1, 2.1, 3.1, 3.2, 11.1, 11.2, 11.3, nts.1n1, nts.2n3, nts.3n5 UBI and Simonelli, Lorenzo Sloan, Alfred Smith, Aubrey, n1 Smith, Brad, 2.1, 8.1 Smith, Dan Smith, Jeff, 6.1, 7.1, 10.1 Smith, Noah Smith, Ryan, 8.1, 8.2 Stanford University, 11.1, 11.2 Stanley, Kath startups (Silicon Valley-style), itr.1, 1.1, 1.2, 1.3, 2.1, 2.2, 2.3, 3.1, 7.1, 7.2 Andreessen on asset value, 3.1, nts.1n8 boards, 3.1, 7.1, 9.1, 9.2, nts.1n14 culture, p01.1, 3.1 customer and entrepreneurship as career failure and, 1.1, 1.2, 5.1 fantasy plan, 1.1, 6.1, 6.2, 9.1, 9.2, 9.3, 9.4 fatal pitch and finance and, 3.1, 3.2, 7.1 fundamental cycle time health insurance and how to make more valuable management and, itr.1, 3.1 as meritocracy, 3.1, nts.1n18 metered funding and risk metrics for, 2.1, 2.2, 3.1, 4.1, 4.2 mission and vision driven, 3.1, 4.1 Musk’s three “eras,” rapid or hypergrowth, itr.1, 5.1, 6.1 small businesses versus teams, 3.1, 6.1, p03.1 “Think big.
Scale fast,” unemployment insurance Taylor, Frederick Winslow, 8.1 Team of Teams (McChrystal) teams attracting members corporate, typical, 3.1, 3.2 cross-functional, 1.1, 6.1, 6.2, p03.1, 10.1, 10.2, 10.3 executive sponsors, 6.1, 7.1, 7.2 focus on, 3.1, nts.1n3 incentivizing island of freedom or sandbox milestones for, 2.1, 5.1 modern company morale, 6.1, 7.1 small versus big, 3.1, p02.1 startup teams, 3.1, 6.1, p03.1 two-pizza team, 1.1, 5.1 Techstars, 2.1, 7.1, 7.2 Telefónica Tomoyama, Shigeki, 1.1, 6.1 Toyota, itr.1, 1.1, 6.1, 11.1 InfoTechnology Center (ITC) Internet-connected car TPS, 1.1, 1.2, 8.1 transformation (organizational), itr.1, itr.2, itr.3, p01.1, 6.1, p03.1, 10.1 beginning of common patterns energy (motivation) for outcomes of Phase One, p02.1, p02.2, 6.1 Phase Two, p02.1, p02.2, 7.1 Phase Three, p02.1, p02.2, 8.1 Phases and Scales, p02.1, 9.1 three questions for unified theory of Twilio, itr.1, 3.1, 4.1, 6.1 Twitter uncertainty, 1.1, 2.1, 7.1, 10.1 unicorn startup, 1.1, 11.1 unified theory of entrepreneurship universal basic income (UBI), 11.1, nts.1n20 USAID, U.S.
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
The decreasing mass of steel in an automobile has already given way to lightweight silicon. An automobile today is really a computer on wheels. Smart silicon enhances a car’s engine performance, braking, safety—and all the more true for electric cars. This rolling computer is about to be connected and become an internet car. It will sport wireless connection for driverless navigation, for maintenance and safety, and for the latest, greatest HD 3-D video entertainment. The connected car will also become the new office. If you are not driving in your private space, you will either work or play in it. I predict that by 2025 the bandwidth to a high-end driverless car will exceed the bandwidth into your home. As cars become more digital, they will tend to be swapped and shared and used in the same social way we swap digital media. The more we embed intelligence and smarts into the objects in our households and offices, the more we’ll treat these articles as social property.
The computer manufacturer Cisco estimates that there will be 50 billion devices on the internet by 2020, in addition to tens of billions of screens. The electronics industry expects a billion wearable devices in five years, tracking our activities, feeding data into the stream. We can expect another 13 billion appliances, like the Nest thermostat, animating our smarthomes. There will be 3 billion devices built into connected cars. And 100 billion dumb RFID chips embedded into goods on the shelves of Walmart. This is the internet of things, the emerging dreamland of everything we manufacture that is the new platform for the improbable. It is built with data. Knowledge, which is related, but not identical, to information, is exploding at the same rate as information, doubling every two years. The number of scientific articles published each year has been accelerating even faster than this for decades.
“how to make people click ads”: Ashlee Vance, “This Tech Bubble Is Different,” Bloomberg Business, April 14, 2014. 4 billion screens lit today: Calculation based on the following: Charles Arthur, “Future Tablet Market Will Outstrip PCs—and Reach 900m People, Forrester Says,” Guardian, August 7, 2013; Michael O’Grady, “Forrester Research World Tablet Adoption Forecast, 2013 to 2018 (Global), Q4 2014 Update,” Forrester, December 19, 2014; and “Smartphones to Drive Double-Digit Growth of Smart Connected Devices in 2014 and Beyond, According to IDC,” IDC, June 17, 2014. 50 billion devices on the internet by 2020: “Connections Counter,” Cisco, 2013. another 13 billion appliances: “Gartner Says 4.9 Billion Connected ‘Things’ Will Be in Use in 2015,” Gartner, November 11, 2014. built into connected cars: Ibid. 6 billion times per year: “$4.11: A NARUC Telecommunications Staff Subcommittee Report on Directory Assistance,” National Association of Regulatory Utility Commissioners, 2003, 68. two lookups per week in the 1990s: Peter Krasilovsky, “Usage Study: 22% Quit Yellow Pages for Net,” Local Onliner, October 11, 2005. 1 billion library visits per year: Adrienne Chute, Elaine Kroe, Patricia Garner, et al., “Public Libraries in the United States: Fiscal Year 1999,” NCES 200230, National Center for Education Statistics, U.S.
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
In 2009, China had surpassed the United States to become the world’s largest passenger-car market, and its growth wasn’t about to stop anytime soon. At the same time, the Chinese government was encouraging the development of “new energy” vehicles, and automakers in Western markets were facing increasing pressure to limit carbon emissions from their fleets. Like Faraday’s founders, Leach noted that the convergence of electrification, connectivity, car sharing, and autonomous driving technology presented an opportunity to get into the game. “It is without a doubt the most exciting time to be in this industry,” Leach told me as he sipped from a bottle of water. Leach came away from his meeting with Li knowing that the pair would start a company together. “I felt I’d found somebody that had the same vision, the same alignment, and also could manage the wherewithal to make it happen, because it takes a lot of money and it takes patient investment,” Leach said.
“We didn’t start out to be an auto company,” Danny Shapiro, Nvidia’s senior director of automotive, told the Times. “But everything that is changing a car has nothing to do with the auto industry of the past.” Start-ups have spotted the opportunity, too, of course. Uber and Lyft, both based in San Francisco, are hogging the early spoils in the ride-sharing market. Younger companies like Mountain View’s Smartcar (infrastructure for the connected car), San Francisco’s Reviver (digital license plates), and Palo Alto’s Nauto (AI-powered autonomous driving) are pursuing other software-related opportunities. Meanwhile, electric power-train companies like Wrightspeed (heavy-duty trucks), Zero (motorcycles), and Proterra (buses) are also in the area and have collectively raised hundreds of millions of dollars in funding. On the autonomous-driving side of things, Alphabet (formerly Google), which has logged several million self-driving-car test miles, continues to lead the pack.
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
In addition, the fog does not work in a centralized cloud location, but is distributed around the network edge, reducing latency and bandwidth requirements as data is not aggregated over a single cloud channel but distributed to many edge nodes. Similarly, the fog avoids slow response times and delays by distributing workloads across several edge node servers rather than a few centralized cloud servers. Some examples of fog computing in an IIoT context are: • The fog network is ideally suited to the IIoT connected vehicles use-case, as connected cars have a variety of wireless connection methods such as car-2-car, car-2-access point, which can use Wi-Fi, 3g/4G communications but require low latency response. Along with SDN, network concepts fog can address outstanding issues with vehicular networks such as long latency, irregular connections, and 51 52 Chapter 3 |TheTechnical and Business Innovators of the Industrial Internet high packet loss by supplementing vehicle-vehicle communications with vehicle-infrastructure communication and ultimately unified control. • Fog computing addresses many of the severe problems cloud computing has with network latency and congestion over the Internet; however, it cannot completely replace cloud computing which will always have a place due to its ability to store Big Data and perform analytics on massive quantities of data.
However, it is not just in industrial processes where M2M are commonplace, as they are ubiquitous throughout many business processes and indeed in any process where networked smart devices have a role in the process chain. The networking of these digital things will also provide a huge spinoff for telecom companies and Internet service providers who will have to provide the traffic transportation between devices. Indeed, telecom companies are predicting huge increases in the number of SIMS and data modems integrated into all sorts of remote devices, such as vending machines, connected cars, trucks for fleet management, smart meters, and even remote health monitoring equipment, by 2020. Automation is the way forward and, as we have just seen, it relies heavily on effective M2M in the process chain. M2M should play a large part in the business convergence and digital transformation process, as it not only improves productivity through overall equipment effectiveness but also allows for new and innovative business models.
Click Here to Kill Everybody: Security and Survival in a Hyper-Connected World by Bruce Schneier
23andMe, 3D printing, autonomous vehicles, barriers to entry, bitcoin, blockchain, Brian Krebs, business process, cloud computing, cognitive bias, computer vision, connected car, corporate governance, crowdsourcing, cryptocurrency, cuban missile crisis, Daniel Kahneman / Amos Tversky, David Heinemeier Hansson, Donald Trump, drone strike, Edward Snowden, Elon Musk, fault tolerance, Firefox, Flash crash, George Akerlof, industrial robot, information asymmetry, Internet of things, invention of radio, job automation, job satisfaction, John Markoff, Kevin Kelly, license plate recognition, loose coupling, market design, medical malpractice, Minecraft, MITM: man-in-the-middle, move fast and break things, move fast and break things, national security letter, Network effects, pattern recognition, profit maximization, Ralph Nader, RAND corporation, ransomware, Rodney Brooks, Ross Ulbricht, security theater, self-driving car, Shoshana Zuboff, Silicon Valley, smart cities, smart transportation, Snapchat, Stanislav Petrov, Stephen Hawking, Stuxnet, The Market for Lemons, too big to fail, Uber for X, Unsafe at Any Speed, uranium enrichment, Valery Gerasimov, web application, WikiLeaks, zero day
This is also the way copyright law works; an infringer has to pay damages to the copyright holder, even if there was no economic harm at all. It obviously won’t work for all areas of Internet+ security liability, but it will for some. I believe all these types of arguments will gain traction in relation to the Internet+. Already, regulatory agencies are considering issues of data privacy and computer security. Also, many of the products that are becoming computerized and connected—cars, medical devices, appliances, toys, and so on—are already subject to liability laws. When connected versions of these things start killing people, the courts will take action and the public will demand legislative change. However, today’s software is still more or less in the dark ages of product liability. When things go wrong, the loss generally must be borne by the user—companies more or less get off scot-free.
But as with most human endeavors, we need to continue hammering away to shape the emerging Internet+ into a medium that embodies and enables the human ideals of trust, security, resilience, peace, and justice the best it can. CONCLUSION Bring Technology and Policy Together I return to three scenarios repeatedly in this book. The first is a cyberattack against a power grid. The second is murder by remote hacking of an Internet-connected car. The third is the “click here to kill everybody” scenario, involving replication of a lethal virus by a hacked bio-printer. The first example has already happened. The capability has been demonstrated for the second. The third remains to be seen. Dan Geer, the security expert, once warned: “A technology that can give you everything you want is a technology that can take away everything that you have.”
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
When connected to the car, these devices could refuse to allow the car to start until a diabetic eats an apple or an imbiber sobers up. All the auto people we spoke with were focused initially on using contextual technology to improve safety and security. From a pragmatic perspective, carmakers understand that people will adopt new technology fastest when it ensures protection for the people and property they hold dear. Automotive Clouds The connected car may travel many routes in the near-term future. Each requires that the car gather and store lots of data, most of which will be aggregated automatically, without the driver’s knowledge or permission. Carmakers are forming data storage alliances with cloud storage organizations such as Rackspace and Microsoft Azure. Lexus plans to build a global ring of data centers. In short, automakers are planning to permanently store data in the cloud, and they will be storing a lot more data than you may think.
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
., Insurance rate optimization through driver behavior monitoring, US20150006207 A1, published January 2015, https://patents.google.com/patent/US20150006207A1/en. 41. Brad Jarvis et al., Operator benefits and rewards through sensory tracking of a vehicle, US20150019270 A1, published January 2015, 2015, http://www.google.com/patents/US20150019270. 42. Joao Lima, “Insurers Look Beyond Connected Cars for IOT Driven Business Boom,” Computer Business Review, December 9, 2015, http://www.cbronline.com/news/internet-of-things/insurers-look-beyond-connected-cars-for-iot-driven-business-boom-4748866. 43. Sam Ramji, “Looking Beyond the Internet of Things Hype: Here’s What’s in Store,” VentureBeat, March 28, 2014, http://venturebeat.com/2014/03/28/looking-beyond-the-internet-of-things-hype-heres-whats-in-store. 44. “Overcoming Speed Bumps on the Road to Telematics.” 45.
A second patent is even more explicit about triggers for punitive measures.41 It identifies a range of algorithms that activate consequences when the system’s parameters are breached: “a violation algorithm,” “a curfew algorithm,” “a monitoring algorithm,” “an adherence algorithm,” “a credit algorithm.” The consultancy firms are aligned in advising all their insurance clients to get into the surveillance game. AT Kearney acknowledges that the “connected car” is a proving ground for what is to come: “Ultimately, IoT’s true value depends on customers adjusting their behaviors and risk profiles based on feedback from their ‘things.’”42 Health insurers are another target: “Wearable accelerometers” could “improve traceability of their compliance” with prescribed exercise regimes, and “digestible sensors” could track compliance with dietary and medication schedules, “providing higher truth and better granularity than a monthly refill.”43 Deloitte acknowledges that according to its own survey data, most consumers reject telematics on the basis of privacy concerns and mistrust companies that want to monitor their behavior.
The Metric Society: On the Quantification of the Social by Steffen Mau
Airbnb, cognitive bias, collaborative consumption, connected car, crowdsourcing, double entry bookkeeping, future of work, income inequality, informal economy, invisible hand, knowledge economy, labour market flexibility, lifelogging, Mark Zuckerberg, mittelstand, moral hazard, personalized medicine, positional goods, principal–agent problem, profit motive, QR code, reserve currency, school choice, selection bias, sharing economy, smart cities, the scientific method, Uber for X, web of trust, Wolfgang Streeck
Smart cars, for example, allow both digital tracking of the vehicle's spatial movement and monitoring of individual driving patterns. Even details such as the preferred interior temperature, selected radio station or number of occupants can be effortlessly logged. In response to data protection concerns, automotive and IT groups argue that the industry will fall behind the global competition unless it remains at the cutting edge of connected car development and the extensive data transfer which this entails. Nor is there any shortage of demand for such information – for example, from insurance groups seeking to use it as a basis for customized tariffs. Those who consent to digital monitoring of their driving and mobility habits can, provided they fare well in an actuarial risk assessment, expect a better tariff. Insurance companies are already offering discounts across the board in return for the installation and use of such devices.
Tech Titans of China: How China's Tech Sector Is Challenging the World by Innovating Faster, Working Harder, and Going Global by Rebecca Fannin
Airbnb, augmented reality, autonomous vehicles, blockchain, call centre, cashless society, Chuck Templeton: OpenTable:, cloud computing, computer vision, connected car, corporate governance, cryptocurrency, data is the new oil, Deng Xiaoping, digital map, disruptive innovation, Donald Trump, El Camino Real, Elon Musk, family office, fear of failure, glass ceiling, global supply chain, income inequality, industrial robot, Internet of things, invention of movable type, Jeff Bezos, Kickstarter, knowledge worker, Lyft, Mark Zuckerberg, megacity, Menlo Park, money market fund, Network effects, new economy, peer-to-peer lending, personalized medicine, Peter Thiel, QR code, RFID, ride hailing / ride sharing, Sand Hill Road, self-driving car, sharing economy, Shenzhen was a fishing village, Silicon Valley, Silicon Valley startup, Skype, smart cities, smart transportation, Snapchat, social graph, software as a service, South China Sea, sovereign wealth fund, speech recognition, stealth mode startup, Steve Jobs, supply-chain management, Tim Cook: Apple, Travis Kalanick, Uber and Lyft, Uber for X, uber lyft, urban planning, winner-take-all economy, Y Combinator, young professional
But a series of Silicon Valley–style startup deals that Alibaba made in the run-up to its IPO in 2014 ultimately failed either because of product fit mismatches with the China market or missed milestones: TangoME in mobile messaging, Kabam in gaming, and Quixey in mobile search. The big blow to Alibaba’s US ambitions was the block on its Ant Financial deal to buy money transfer firm MoneyGram. Tencent’s Surround-Sound Strategy At Tencent, its laser focus on strategic investments in diverse companies is seen as a tool to get ahead in frontier technologies such as connected cars and internet-facilitated health care. The investment outreach is also a shield against downturns from any further regulatory turmoil in the gaming sector. Tencent has made over 700 such investments and has a good track record. More than 100 of its investee companies have reached valuations exceeding $1 billion and 60 have gone public, one dozen since 2017. One recent win was Tencent’s pre-IPO investment in China’s next-generation titan Meituan, which yielded a gain of about $1.3 billion.
What Would Google Do? by Jeff Jarvis
23andMe, Amazon Mechanical Turk, Amazon Web Services, Anne Wojcicki, barriers to entry, Berlin Wall, business process, call centre, cashless society, citizen journalism, clean water, commoditize, connected car, credit crunch, crowdsourcing, death of newspapers, different worldview, disintermediation, diversified portfolio, don't be evil, fear of failure, Firefox, future of journalism, G4S, Google Earth, Googley, Howard Rheingold, informal economy, inventory management, Jeff Bezos, jimmy wales, Kevin Kelly, Mark Zuckerberg, moral hazard, Network effects, new economy, Nicholas Carr, old-boy network, PageRank, peer-to-peer lending, post scarcity, prediction markets, pre–internet, Ronald Coase, search inside the book, Silicon Valley, Skype, social graph, social software, social web, spectrum auction, speech recognition, Steve Jobs, the medium is the message, The Nature of the Firm, the payments system, The Wisdom of Crowds, transaction costs, web of trust, WikiLeaks, Y Combinator, Zipcar
Home-delivery services Fresh Direct and Peapod in the U.S. and Tesco in the U.K. could order and deliver what we need and give us coupons for related products. Epicurious.com could suggest recipes based on what’s in the fridge. Refrigerators become platforms for these companies to serve us. We have connected home-security systems with sensors and cameras. We have connected home-entertainment systems that can pipe web radio stations, iTunes music and movies, and YouTube videos to any device in the home. We will have connected cars with links to traffic information and feeds of entertainment. We have cameras connected to GPS satellites and to our computers. We have mobile phones that are becoming computers. Any device that produces information, that can be personalized or adjusted, or that communicates with or entertains us will be connected to the internet and to Google. Google will listen to and speak through these gadgets—if we give it permission—and deliver related information.
Black Code: Inside the Battle for Cyberspace by Ronald J. Deibert
4chan, Any sufficiently advanced technology is indistinguishable from magic, Brian Krebs, call centre, citizen journalism, cloud computing, connected car, corporate social responsibility, crowdsourcing, cuban missile crisis, data acquisition, failed state, Firefox, global supply chain, global village, Google Hangouts, Hacker Ethic, informal economy, invention of writing, Iridium satellite, jimmy wales, John Markoff, Kibera, Kickstarter, knowledge economy, low earth orbit, Marshall McLuhan, MITM: man-in-the-middle, mobile money, mutually assured destruction, Naomi Klein, new economy, Occupy movement, Panopticon Jeremy Bentham, planetary scale, rent-seeking, Ronald Reagan, Ronald Reagan: Tear down this wall, Silicon Valley, Silicon Valley startup, Skype, smart grid, South China Sea, Steven Levy, Stuxnet, Ted Kaczynski, the medium is the message, Turing test, undersea cable, We are Anonymous. We are Legion, WikiLeaks, zero day
Even those of you who resist or fear cyberspace sense that we are in the midst of an onslaught. And we are! You resist initially because it is drawing you in, inevitably. Whether you like it or not, to remain part of civil society you have to deal with it. Cyberspace is everywhere. By the end of 2012 there were more mobile devices on the planet than people: cellphones, laptops, tablets, gaming consoles, even Internet-connected cars. Some estimates put the number of Internet-connected devices now at 10 billion. Cyberspace has become what researchers call a “totally immersive environment,” a phenomenon that cannot be avoided or ignored, increasingly embedded in societies rich and poor, a communications arena that does not discriminate. Connectivity in Africa, for instance, grows at some 2,000 percent a year. While the digital divide remains deep, it’s shrinking fast, and access to cyberspace is growing much faster than good governance over it.
Frugal Innovation: How to Do Better With Less by Jaideep Prabhu Navi Radjou
3D printing, additive manufacturing, Affordable Care Act / Obamacare, Airbnb, Albert Einstein, barriers to entry, Baxter: Rethink Robotics, Bretton Woods, business climate, business process, call centre, Capital in the Twenty-First Century by Thomas Piketty, carbon footprint, cloud computing, collaborative consumption, collaborative economy, Computer Numeric Control, connected car, corporate social responsibility, creative destruction, crowdsourcing, disruptive innovation, Elon Musk, financial exclusion, financial innovation, global supply chain, IKEA effect, income inequality, industrial robot, intangible asset, Internet of things, job satisfaction, Khan Academy, Kickstarter, late fees, Lean Startup, low cost airline, low cost carrier, M-Pesa, Mahatma Gandhi, megacity, minimum viable product, more computing power than Apollo, new economy, payday loans, peer-to-peer lending, Peter H. Diamandis: Planetary Resources, precision agriculture, race to the bottom, reshoring, risk tolerance, Ronald Coase, self-driving car, shareholder value, sharing economy, Silicon Valley, Silicon Valley startup, six sigma, smart grid, smart meter, software as a service, standardized shipping container, Steve Jobs, supply-chain management, TaskRabbit, The Fortune at the Bottom of the Pyramid, The Nature of the Firm, transaction costs, Travis Kalanick, unbanked and underbanked, underbanked, women in the workforce, X Prize, yield management, Zipcar
Instead, companies need to build horizontal ecosystems that integrate their brands with those of other firms – including their rivals – to provide customers with the rich choice and highly personalised experiences that they expect. This new consumer-centric approach has been dubbed “MEcosystems”.6 And although it threatens traditional bricks-and-mortar organisations such as GM and Bank of America, it is a boon for the GAFAs. Indeed, while GM is assembling a vertical partner ecosystem to build connected cars that run like “iPhones on wheels”, Apple and Google are investing in a horizontal ecosystem to provide customers with seamless experiences across multiple devices, whether they are at home, at work, or driving between the two. Similarly, while Bank of America is busy beefing up its mobile banking capabilities, Google is attempting to become a virtual bank by filling its Google Wallet with plastic debit cards.
How to Be the Startup Hero: A Guide and Textbook for Entrepreneurs and Aspiring Entrepreneurs by Tim Draper
3D printing, Airbnb, Apple's 1984 Super Bowl advert, augmented reality, autonomous vehicles, basic income, Berlin Wall, bitcoin, blockchain, Buckminster Fuller, business climate, carried interest, connected car, crowdsourcing, cryptocurrency, Deng Xiaoping, discounted cash flows, disintermediation, Donald Trump, Elon Musk, Ethereum, ethereum blockchain, family office, fiat currency, frictionless, frictionless market, high net worth, hiring and firing, Jeff Bezos, Kickstarter, low earth orbit, Lyft, Mahatma Gandhi, Mark Zuckerberg, Menlo Park, Metcalfe's law, Metcalfe’s law, Mikhail Gorbachev, Minecraft, Moneyball by Michael Lewis explains big data, Nelson Mandela, Network effects, peer-to-peer, Peter Thiel, pez dispenser, Ralph Waldo Emerson, risk tolerance, Robert Metcalfe, Ronald Reagan, Rosa Parks, Sand Hill Road, school choice, school vouchers, self-driving car, sharing economy, short selling, Silicon Valley, Skype, smart contracts, Snapchat, sovereign wealth fund, stealth mode startup, stem cell, Steve Jobs, Tesla Model S, Uber for X, uber lyft, universal basic income, women in the workforce, Y Combinator, zero-sum game
I took a Draper University group of students (who we call “heroes in training” or “HITS”—we dropped the “Super” or “S” part of the acronym for obvious reasons) to the Tesla factory in Fremont, California, to watch as Elon Musk, Tesla’s CEO and one of the most extraordinary and successful entrepreneurs in history, launched the Model S. The plant is enormous. It seems to go for miles in all directions. Robots as big as elephants move around connecting car parts, fastening attachments, and painting the body. The launch was to great fanfare. The Governor of California came and cut the ribbon, the first 10 cars were rolled off the assembly line for us lucky early “Founder Series” buyers, and all 1000 Tesla employees shared a proud moment as they watched all their amazing labor and efforts come to life. Elon made some time for us before his big event and answered a few questions.
Home Sweet Anywhere: How We Sold Our House, Created a New Life, and Saw the World by Lynne Martin
We had been in Mexico for three days at this point, and he had reserved cruises from Miami to Rome in May and from Barcelona to Miami in November. These were the bookends for our projected seven months in Europe. We wanted to visit France, Italy, Spain, Portugal, and England, too, and we had already sent housing deposits for June in Paris and July and August in Florence. We searched the Internet every day for apartments in Spain and Portugal while simultaneously gathering information about European plane connections, car rentals, interim hotel stays, and all the rest of the minutiae that must be addressed. Overall, we were feeling pretty confident about our impending year abroad—until a new friend threw a curveball even Sandy Koufax would be proud of. Judy Butcher, an American traveler whom we had recently met through mutual friends, joined us for cocktails one afternoon. We were enjoying her lively company and entertaining stories as we lounged in Sally’s fragrant summer garden.
The Butterfly Defect: How Globalization Creates Systemic Risks, and What to Do About It by Ian Goldin, Mike Mariathasan
"Robert Solow", air freight, Andrei Shleifer, Asian financial crisis, asset-backed security, bank run, barriers to entry, Basel III, Berlin Wall, Bretton Woods, BRICs, business cycle, butterfly effect, clean water, collapse of Lehman Brothers, collateralized debt obligation, complexity theory, connected car, credit crunch, Credit Default Swap, credit default swaps / collateralized debt obligations, David Ricardo: comparative advantage, deglobalization, Deng Xiaoping, discovery of penicillin, diversification, diversified portfolio, Douglas Engelbart, Douglas Engelbart, Edward Lorenz: Chaos theory, energy security, eurozone crisis, failed state, Fellow of the Royal Society, financial deregulation, financial innovation, financial intermediation, fixed income, Gini coefficient, global pandemic, global supply chain, global value chain, global village, income inequality, information asymmetry, Jean Tirole, John Snow's cholera map, Kenneth Rogoff, light touch regulation, Long Term Capital Management, market bubble, mass immigration, megacity, moral hazard, Occupy movement, offshore financial centre, open economy, profit maximization, purchasing power parity, race to the bottom, RAND corporation, regulatory arbitrage, reshoring, Silicon Valley, six sigma, Stuxnet, supply-chain management, The Great Moderation, too big to fail, Toyota Production System, trade liberalization, transaction costs, uranium enrichment
GLOBALIZATION AND INTEGRATION Globalization can generally be understood as the process driven by and resulting in increased cross-border flows of goods, services, money, people, information, technology, and culture.2 These flows are multi dimensional, and the number of connections between them is unprecedentedly large and growing exponentially. It is becoming deeper in that these connections penetrate a growing range of human activities. Increasingly not only people but also things are being connected—cars, phones, merchandise, and a rapidly widening range of inanimate objects and sensors. The current period of integration is revolutionary in that a larger set of changes have occurred with a pervasively wider influence than over any comparably short time in previous phases of globalization.3 We consider, in turn, two additional examples of global connectivity that we feel are unique and have significantly lowered the transaction costs of economic integration.
Amazon: How the World’s Most Relentless Retailer Will Continue to Revolutionize Commerce by Natalie Berg, Miya Knights
3D printing, Airbnb, Amazon Web Services, augmented reality, Bernie Sanders, big-box store, business intelligence, cloud computing, Colonization of Mars, commoditize, computer vision, connected car, Donald Trump, Doomsday Clock, Elon Musk, gig economy, Internet of things, inventory management, invisible hand, Jeff Bezos, market fragmentation, new economy, pattern recognition, Ponzi scheme, pre–internet, QR code, race to the bottom, recommendation engine, remote working, sensor fusion, sharing economy, Skype, supply-chain management, TaskRabbit, trade route, underbanked, urban planning, white picket fence
Meanwhile, Amazon struck a deal with BMW to integrate Alexa in its cars starting in mid-2018 and already has a similar partnership with Toyota. Even satellite navigation manufacturers are getting in on the act, like Garmin, whose Speak Plus is a 1.5-inch dashboard camera that also comes with Alexa integration. Users will be able to use voice commands to get directions, play music, make phone calls, control smart devices in their Connected Car, and place orders for products and services, like takeaway delivery or collection. But here, Amazon must compete with car manufacturers’ own voice prompt systems, as well as the significant traction that Apple has gained with its CarPlay system to connect Apple’s iOS devices to a car for navigation, music and voice prompt-based integration. If we have learned anything from our study of Amazon’s pivotal role in the development of AI and voice in the pursuit of a more frictionless retail experience, it is that AI holds the ability to improve return on investment both instore and online, by simplifying shopping journeys, improving inventory accuracy and optimizing the supply chain in order to support growth.
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
Concerns If you have programmable matter in your house, hacking might be a bit of a concern. Maybe you wake up one day and the dish has run away with the spoon. It’s bad enough you lost your stuff, but now you’re wondering exactly where the knife went. If matter reshapes itself for engineering reasons, the possibility for hackers to subtly cause an adjustment is dangerous. Airlines are already dealing with this sort of thing, as are Internet-connected cars. It’s not entirely clear whether programmable matter would add additional dangers or just amplify ones that already exist. Dr. Demaine points out that hacking is a major problem for software, and we may be able to control hardware hacking a bit more easily than software hacking. He suggests you could have a simple physical mechanism to make sure all changes were done only after a local human being gave permission.
Rush Hour: How 500 Million Commuters Survive the Daily Journey to Work by Iain Gately
Albert Einstein, autonomous vehicles, Beeching cuts, blue-collar work, Boris Johnson, British Empire, business intelligence, business process, business process outsourcing, call centre, car-free, Cesare Marchetti: Marchetti’s constant, Clapham omnibus, cognitive dissonance, congestion charging, connected car, corporate raider, DARPA: Urban Challenge, Dean Kamen, decarbonisation, Deng Xiaoping, Detroit bankruptcy, don't be evil, Elon Musk, extreme commuting, global pandemic, Google bus, Henri Poincaré, Hyperloop, Jeff Bezos, lateral thinking, low skilled workers, Marchetti’s constant, postnationalism / post nation state, Ralph Waldo Emerson, remote working, self-driving car, Silicon Valley, stakhanovite, Steve Jobs, telepresence, Tesla Model S, urban planning, éminence grise
In the opinion of Chunka Mui, an innovations strategist writing for Forbes magazine, ‘the issue is when, not if – and when is sooner than you think’. Nissan has promised the world affordable autonomous cars by 2020. Google will have a hundred of its Google-bugs on Californian test tracks, and possibly roads in 2014; the University of Michigan is building a 32-acre model village to test self-driving ‘connected cars’; Volvo, in conjunction with the city of Gothenburg, has announced a pilot scheme scheduled to commence in 2017, in which a fleet of a hundred of its driverless cars will be set loose on an initial thirty miles of public roads described as ‘typical commuter arteries’. Meanwhile the British city of Milton Keynes has plans to introduce a fleet of self-directed ‘pods’ in 2015, which will run along a dedicated track from its centre to its railway station.
Choked: Life and Breath in the Age of Air Pollution by Beth Gardiner
barriers to entry, Boris Johnson, call centre, carbon footprint, clean water, connected car, deindustrialization, Donald Trump, Elon Musk, epigenetics, Exxon Valdez, failed state, Hyperloop, index card, Indoor air pollution, Mahatma Gandhi, megacity, meta analysis, meta-analysis, Ronald Reagan, self-driving car, Silicon Valley, Skype, statistical model, Steve Jobs, white picket fence
But, in a world powered by fossil fuels, we all travel from place to place, use electricity, heat our homes, and few of us fully grasp the effects. The gains that come when air gets cleaner are similarly difficult to see. There’s no doubt reducing pollution saves lives. But those whose years are lengthened, and those who love them, never know it. Emergency room visits are averted and health care dollars stay in pockets, but the line connecting car or power plant regulations with the size of medical budgets isn’t easy to make out. Once I’d grasped the dimensions of this hiding-in-plain-sight threat, I wanted to see, up close, how it was playing out around the world. And why. Is air pollution an inevitable part of modern life, something we must resign ourselves to living with? Or are there more malign forces at work, too, keeping us wedded to the old, dirty ways of doing things when better alternatives exist?
Human Compatible: Artificial Intelligence and the Problem of Control by Stuart Russell
3D printing, Ada Lovelace, AI winter, Alan Turing: On Computable Numbers, with an Application to the Entscheidungsproblem, Alfred Russel Wallace, Andrew Wiles, artificial general intelligence, Asilomar, Asilomar Conference on Recombinant DNA, augmented reality, autonomous vehicles, basic income, blockchain, brain emulation, Cass Sunstein, Claude Shannon: information theory, complexity theory, computer vision, connected car, crowdsourcing, Daniel Kahneman / Amos Tversky, delayed gratification, Elon Musk, en.wikipedia.org, Erik Brynjolfsson, Ernest Rutherford, Flash crash, full employment, future of work, Gerolamo Cardano, ImageNet competition, Intergovernmental Panel on Climate Change (IPCC), Internet of things, invention of the wheel, job automation, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, John Nash: game theory, John von Neumann, Kenneth Arrow, Kevin Kelly, Law of Accelerating Returns, Mark Zuckerberg, Nash equilibrium, Norbert Wiener, NP-complete, openstreetmap, P = NP, Pareto efficiency, Paul Samuelson, Pierre-Simon Laplace, positional goods, probability theory / Blaise Pascal / Pierre de Fermat, profit maximization, RAND corporation, random walk, Ray Kurzweil, recommendation engine, RFID, Richard Thaler, ride hailing / ride sharing, Robert Shiller, Robert Shiller, Rodney Brooks, Second Machine Age, self-driving car, Shoshana Zuboff, Silicon Valley, smart cities, smart contracts, social intelligence, speech recognition, Stephen Hawking, Steven Pinker, superintelligent machines, Thales of Miletus, The Future of Employment, Thomas Bayes, Thorstein Veblen, transport as a service, Turing machine, Turing test, universal basic income, uranium enrichment, Von Neumann architecture, Wall-E, Watson beat the top human players on Jeopardy!, web application, zero-sum game
In regimes where this technology is adopted for the purposes of control, it will be as if every citizen had their own personal Stasi operative watching over them twenty-four hours a day.3 Even in the civilian sphere, in relatively free countries, we are subject to increasingly effective surveillance. Corporations collect and sell information about our purchases, Internet and social network usage, electrical appliance usage, calling and texting records, employment, and health. Our locations can be tracked through our cell phones and our Internet-connected cars. Cameras recognize our faces on the street. All this data, and much more, can be pieced together by intelligent information integration systems to produce a fairly complete picture of what each of us is doing, how we live our lives, who we like and dislike, and how we will vote.4 The Stasi will look like amateurs by comparison. Controlling your behavior Once surveillance capabilities are in place, the next step is to modify your behavior to suit those who are deploying this technology.
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
Advertisers will know more about individual consumers—for example, what they search for—allowing car manufacturers to target potential car buyers. “Artificial intelligence will say, ‘This guy buys a car every two years.’ Six months before the two years come up, they inundate him with messages: ‘We know it’s time for you to be looking for a new car. Here’s two thousand dollars off if you come in next week to buy a car.’ That’s relevant.” Digitally connected cars will have smart windshields that flash to the driver who is low on gas where the nearest gas station is located, along with an offer of a free coffee. Or a food order can be placed and picked up at a nearby fast food restaurant. Of course, exchanging intrusively annoying ads for intrusively annoying marketing messages may be no less irritating to consumers. At the same time, native ads are becoming ever more craftily camouflaged.
Platform Revolution: How Networked Markets Are Transforming the Economy--And How to Make Them Work for You by Sangeet Paul Choudary, Marshall W. van Alstyne, Geoffrey G. Parker
3D printing, Affordable Care Act / Obamacare, Airbnb, Alvin Roth, Amazon Mechanical Turk, Amazon Web Services, Andrei Shleifer, Apple's 1984 Super Bowl advert, autonomous vehicles, barriers to entry, big data - Walmart - Pop Tarts, bitcoin, blockchain, business cycle, business process, buy low sell high, chief data officer, Chuck Templeton: OpenTable:, clean water, cloud computing, connected car, corporate governance, crowdsourcing, data acquisition, data is the new oil, digital map, discounted cash flows, disintermediation, Edward Glaeser, Elon Musk, en.wikipedia.org, Erik Brynjolfsson, financial innovation, Haber-Bosch Process, High speed trading, information asymmetry, Internet of things, inventory management, invisible hand, Jean Tirole, Jeff Bezos, jimmy wales, John Markoff, Khan Academy, Kickstarter, Lean Startup, Lyft, Marc Andreessen, market design, Metcalfe’s law, multi-sided market, Network effects, new economy, payday loans, peer-to-peer lending, Peter Thiel, pets.com, pre–internet, price mechanism, recommendation engine, RFID, Richard Stallman, ride hailing / ride sharing, Robert Metcalfe, Ronald Coase, Satoshi Nakamoto, self-driving car, shareholder value, sharing economy, side project, Silicon Valley, Skype, smart contracts, smart grid, Snapchat, software is eating the world, Steve Jobs, TaskRabbit, The Chicago School, the payments system, Tim Cook: Apple, transaction costs, Travis Kalanick, two-sided market, Uber and Lyft, Uber for X, uber lyft, winner-take-all economy, zero-sum game, Zipcar
The analytics derived from this data will help banks target small businesses with financial products for the first time in a highly relevant manner. Likewise, some banks are offering digital services to assist consumers with real estate searches in the hope of gathering data that could indicate lending opportunities. Insurance is another space that is set to be rapidly transformed in the age of data platforms. Connected cars are now gathering real-time data about driving behavior, and insurance companies are leveraging such data to offer customized premium pricing based on user-specific driving habits. The growing popularity of wearable devices for tracking health and wellness indicators will create opportunities for health insurance companies to offer similarly customized insurance packages. Still another potential source of future growth is the hundreds of millions of “unbanked” people, both in the developing world and in less affluent neighborhoods in the U.S. and other developed countries, who currently have no access to tools that can help them pay their bills, borrow money, save, and make investments.
Habeas Data: Privacy vs. The Rise of Surveillance Tech by Cyrus Farivar
Apple's 1984 Super Bowl advert, autonomous vehicles, call centre, citizen journalism, cloud computing, computer age, connected car, do-ocracy, Donald Trump, Edward Snowden, en.wikipedia.org, failed state, Ferguson, Missouri, Frank Gehry, Golden Gate Park, John Markoff, license plate recognition, Lyft, national security letter, Occupy movement, optical character recognition, Port of Oakland, RAND corporation, Ronald Reagan, sharing economy, Silicon Valley, Silicon Valley startup, Skype, Steve Jobs, Steven Levy, The Hackers Conference, Tim Cook: Apple, transaction costs, uber lyft, WikiLeaks, Zimmermann PGP
Years later, Thomas: Subsentio, “Former FBI Official Takes Charge of Tech Development at U.S. Surveillance Industry’s Leading Lawful Intercept Service Bureau,” December 10, 2013. Available at: http://www.subsentio.com/ssio_pr/subsentio-names-marcus-thomas-chief-technology-officer/. “Everything is digging”: Author’s interview with Marcus Thomas, August 2, 2017. One notable and creative: Thomas Fox-Brewster, “Cartapping: How Feds Have Spied on Connected Cars for 15 Years,” Forbes, January 15, 2017. Available at: https://www.forbes.com/sites/thomasbrewster/2017/01/15/police-spying-on-car-conversations-location-siriusxm-gm-chevrolet-toyota-privacy/. ATX had to remotely activate: In the matter of the emergency application for an order compelling ATX Technologies to show cause, 2:01-cv-01495-LDG, USDC Nevada, December 19, 2001. Available at: https://www.documentcloud.org/documents/3868115-Show-Temp-55.html.
The Future of Technology by Tom Standage
air freight, barriers to entry, business process, business process outsourcing, call centre, Clayton Christensen, computer vision, connected car, corporate governance, creative destruction, disintermediation, disruptive innovation, distributed generation, double helix, experimental economics, full employment, hydrogen economy, industrial robot, informal economy, information asymmetry, interchangeable parts, job satisfaction, labour market flexibility, Marc Andreessen, market design, Menlo Park, millennium bug, moral hazard, natural language processing, Network effects, new economy, Nicholas Carr, optical character recognition, railway mania, rent-seeking, RFID, Silicon Valley, Silicon Valley ideology, Silicon Valley startup, six sigma, Skype, smart grid, software as a service, spectrum auction, speech recognition, stem cell, Steve Ballmer, technology bubble, telemarketer, transcontinental railway, Y2K
A small portion of these wares eventually do end up being used by ordinary humans. Currently, the ces technophiles are excited about two trends in particular. The first is that every single electronic device will soon be connected to the internet. This includes the obvious, such as mobile phones and tv sets, and the less obvious, such as shirts and nappies that carry tiny radio-frequency identification (rfid) tags. Microsoft talks about its “connected-car” project, which conjures up images of drivers rebooting on the motorway. But the direction is clear. In future, most people in rich countries will be “always on”, and will connect to the internet through something other than a pc. The other, and related, big idea concerns what some vendors call “the digital home” and others the “e-home”. This year’s ces was full of mock homes in which the toaster, the refrigerator and the oven talk wirelessly to the computer, where toilet seats warm up at appropriate times and the front door can be unlocked remotely through the internet by the owner on his business trip abroad.
The Marches: A Borderland Journey Between England and Scotland by Rory Stewart
She had grown up in Livingston new town, forty miles south in central Scotland, where her father had been one of the very first occupants. She described Livingston vividly. When Susan’s family first arrived in the 1960s, the grass banks by the underpasses were still largely bare, the trees no more than tiny saplings. Residents had to cross unpaved roads, hopping between loose flagstones. But the rapid Swedish construction method was pushing up a steady 1,000 houses a year, encircled by a ring road. Underpasses connected car-parking space to Scotland’s largest indoor mall. Livingston was dominated by Japanese electronics companies. It had grown from a hamlet into one of the ten largest towns in Scotland, and the centre of Scotland’s silicon glen, pumping out about a third of the PCs in Europe and most of Europe’s ATMs. The corporation’s motto was ‘Creating a future where there was only a past’. Susan had felt the absence of this past.
CTOs at Work by Scott Donaldson, Stanley Siegel, Gary Donaldson
Amazon Web Services, bioinformatics, business intelligence, business process, call centre, centre right, cloud computing, computer vision, connected car, crowdsourcing, data acquisition, distributed generation, domain-specific language, glass ceiling, orbital mechanics / astrodynamics, pattern recognition, Pluto: dwarf planet, QR code, Richard Feynman, Ruby on Rails, shareholder value, Silicon Valley, Skype, smart grid, smart meter, software patent, thinkpad, web application, zero day, zero-sum game
Donaldson: Could you speak a little bit about how social networking-type technologies are disruptive? Garrison: Well, think about it. What if I didn't have to wait until 4:00? If you go to NPR.org right now, you can't stream “All Things Considered.” And there's a reason for that because we can't cut out the local stations. S. Donaldson: Right. Garrison: What about Pandora? What about NPR on Pandora? What about connected cars? So when you are in Iowa, maybe you want to listen to WAMU, and not your local IOWA station. What does that mean to their economy and to their fundraising? If you do a little research on that; it is the disruptor in my view. G. Donaldson: It's a game changer. Garrison: It's a game changer. And so what it means, in order to stay relevant, the local stations, once again in my view, have to focus on local content so that they stay relevant.
The Patient Will See You Now: The Future of Medicine Is in Your Hands by Eric Topol
23andMe, 3D printing, Affordable Care Act / Obamacare, Anne Wojcicki, Atul Gawande, augmented reality, bioinformatics, call centre, Clayton Christensen, clean water, cloud computing, commoditize, computer vision, conceptual framework, connected car, correlation does not imply causation, creative destruction, crowdsourcing, dark matter, data acquisition, disintermediation, disruptive innovation, don't be evil, Edward Snowden, Elon Musk, en.wikipedia.org, Erik Brynjolfsson, Firefox, global village, Google Glasses, Google X / Alphabet X, Ignaz Semmelweis: hand washing, information asymmetry, interchangeable parts, Internet of things, Isaac Newton, job automation, Julian Assange, Kevin Kelly, license plate recognition, lifelogging, Lyft, Mark Zuckerberg, Marshall McLuhan, meta analysis, meta-analysis, microbiome, Nate Silver, natural language processing, Network effects, Nicholas Carr, obamacare, pattern recognition, personalized medicine, phenotype, placebo effect, RAND corporation, randomized controlled trial, Second Machine Age, self-driving car, Silicon Valley, Skype, smart cities, Smart Cities: Big Data, Civic Hackers, and the Quest for a New Utopia, Snapchat, social graph, speech recognition, stealth mode startup, Steve Jobs, the scientific method, The Signal and the Noise by Nate Silver, The Wealth of Nations by Adam Smith, Turing test, Uber for X, uber lyft, Watson beat the top human players on Jeopardy!, WikiLeaks, X Prize
Unauthorized use not permitted. August 1, 2014. The marked connectivity is taken further when one considers the Internet of Things (IoT). That is the unbridled growth of not only people but also devices that are wirelessly connected via the Internet. The projections range from twenty-eight to fifty billion connected devices by 2020,28 and the implications are profound. This doesn’t just refer to Nest thermometers or connected cars—the bulk of the growth is actually expected to come from sensors, particularly wearable ones that track medical data. As shown in Figure 1.3, the average person is projected to have between six and seven connected devices by 2020. This represents a quadrupling of connected devices in the span of a decade with only 10 percent of growth of the population during that time. The impressive growth of our connectivity—between both people and machines—represents a formidable technologic force that makes medicine’s democratization more likely and more powerful.
The Future Is Asian by Parag Khanna
3D printing, Admiral Zheng, affirmative action, Airbnb, Amazon Web Services, anti-communist, Asian financial crisis, asset-backed security, augmented reality, autonomous vehicles, Ayatollah Khomeini, barriers to entry, Basel III, blockchain, Boycotts of Israel, Branko Milanovic, British Empire, call centre, capital controls, carbon footprint, cashless society, clean water, cloud computing, colonial rule, computer vision, connected car, corporate governance, crony capitalism, currency peg, deindustrialization, Deng Xiaoping, Dissolution of the Soviet Union, Donald Trump, energy security, European colonialism, factory automation, failed state, falling living standards, family office, fixed income, flex fuel, gig economy, global reserve currency, global supply chain, haute couture, haute cuisine, illegal immigration, income inequality, industrial robot, informal economy, Internet of things, Kevin Kelly, Kickstarter, knowledge worker, light touch regulation, low cost airline, low cost carrier, low skilled workers, Lyft, Malacca Straits, Mark Zuckerberg, megacity, Mikhail Gorbachev, money market fund, Monroe Doctrine, mortgage debt, natural language processing, Netflix Prize, new economy, off grid, oil shale / tar sands, open economy, Parag Khanna, payday loans, Pearl River Delta, prediction markets, purchasing power parity, race to the bottom, RAND corporation, rent-seeking, reserve currency, ride hailing / ride sharing, Ronald Reagan, Scramble for Africa, self-driving car, Silicon Valley, smart cities, South China Sea, sovereign wealth fund, special economic zone, stem cell, Steve Jobs, Steven Pinker, supply-chain management, sustainable-tourism, trade liberalization, trade route, transaction costs, Travis Kalanick, uber lyft, upwardly mobile, urban planning, Washington Consensus, working-age population, Yom Kippur War
As Asian cities prepare for driverless cars and buses on their street, policy makers, regulators, urban planners, and insurance companies are developing new frameworks to govern them. Even the Western firms ranked most likely to get self-driving cars onto the road first—including Ford, Renault, Daimler, Volkswagen, and BMW—will be looking to do so in Asia. In South Korea, Hyundai and Kia have partnered with Cisco Systems and other US IT companies to advance connected car communications. Baidu’s open-source approach to driverless-car software development, called Apollo, has lured Intel, Daimler, and Ford to contribute resources. Baidu might be on a collision course with Didi Chuxing—or perhaps it will simply buy it. US firms are now copying Chinese innovations. LimeBike in California is copying China’s dockless bike sharing as pioneered by Ofo and MoBike. DiDi has algorithms that predict which ride-sharing users will want a ride at certain times and locations and is designing driverless car interiors for shared augmented-reality experiences—programs that Uber and others will surely copy.
Smart Cities: Big Data, Civic Hackers, and the Quest for a New Utopia by Anthony M. Townsend
1960s counterculture, 4chan, A Pattern Language, Airbnb, Amazon Web Services, anti-communist, Apple II, Bay Area Rapid Transit, Burning Man, business process, call centre, carbon footprint, charter city, chief data officer, clean water, cleantech, cloud computing, computer age, congestion charging, connected car, crack epidemic, crowdsourcing, DARPA: Urban Challenge, data acquisition, Deng Xiaoping, digital map, Donald Davies, East Village, Edward Glaeser, game design, garden city movement, Geoffrey West, Santa Fe Institute, George Gilder, ghettoisation, global supply chain, Grace Hopper, Haight Ashbury, Hedy Lamarr / George Antheil, hive mind, Howard Rheingold, interchangeable parts, Internet Archive, Internet of things, Jacquard loom, Jane Jacobs, jitney, John Snow's cholera map, Joi Ito, Khan Academy, Kibera, Kickstarter, knowledge worker, load shedding, M-Pesa, Mark Zuckerberg, megacity, mobile money, mutually assured destruction, new economy, New Urbanism, Norbert Wiener, Occupy movement, off grid, openstreetmap, packet switching, Panopticon Jeremy Bentham, Parag Khanna, patent troll, Pearl River Delta, place-making, planetary scale, popular electronics, RFC: Request For Comment, RFID, ride hailing / ride sharing, Robert Gordon, self-driving car, sharing economy, Silicon Valley, Skype, smart cities, smart grid, smart meter, social graph, social software, social web, special economic zone, Steve Jobs, Steve Wozniak, Stuxnet, supply-chain management, technoutopianism, Ted Kaczynski, telepresence, The Death and Life of Great American Cities, too big to fail, trade route, Tyler Cowen: Great Stagnation, undersea cable, Upton Sinclair, uranium enrichment, urban decay, urban planning, urban renewal, Vannevar Bush, working poor, working-age population, X Prize, Y2K, zero day, Zipcar
In Tel Aviv there’s an app that sends alerts whenever Hamas rockets are inbound from the Gaza Strip. An alumnus of the MIT Media Lab living in the Iraqi capital of Baghdad has reportedly designed an app that lists recent kidnappings and the going rate for ransom. And Apple’s Siri, which hails from Silicon Valley, might be the most suburban technology ever created: its voice recognition is perfect for connected cars but completely useless on noisy city sidewalks. Shirky’s students built situated software because, for the first time, they could. “Making form-fit software for a small group of users has typically been the province of banks and research labs,” Shirky explained. “The kinds of scarcities the Web School was meant to address—the expense of adequate hardware, the rarity of programming talent, and the sparse distribution of potential users—are no longer the constraints they once were.”11 Today, the infrastructure that’s needed to build and distribute a smartphone app is already in place, and either free or rentable; it costs almost nothing to turn a novel idea about how to interact with the city into a piece of software that meets the needs of a handful of people in close proximity.
Rise of the Machines: A Cybernetic History by Thomas Rid
1960s counterculture, A Declaration of the Independence of Cyberspace, agricultural Revolution, Albert Einstein, Alistair Cooke, Apple II, Apple's 1984 Super Bowl advert, back-to-the-land, Berlin Wall, British Empire, Brownian motion, Buckminster Fuller, business intelligence, Charles Lindbergh, Claude Shannon: information theory, conceptual framework, connected car, domain-specific language, Douglas Engelbart, Douglas Engelbart, dumpster diving, Extropian, full employment, game design, global village, Haight Ashbury, Howard Rheingold, Jaron Lanier, job automation, John Markoff, John von Neumann, Kevin Kelly, Kubernetes, Marshall McLuhan, Menlo Park, Mitch Kapor, Mother of all demos, new economy, New Journalism, Norbert Wiener, offshore financial centre, oil shale / tar sands, pattern recognition, RAND corporation, Silicon Valley, Simon Singh, speech recognition, Steve Jobs, Steve Wozniak, Steven Levy, Stewart Brand, technoutopianism, Telecommunications Act of 1996, telepresence, The Hackers Conference, Vernor Vinge, Whole Earth Catalog, Whole Earth Review, Y2K, Yom Kippur War, Zimmermann PGP
Decades after Wiener and his acolytes dreamt of autonomous machines and decades after NASA flirted with putting cyborgs into outer space, microprocessing and networking technology have radically transformed lives, work, play—even human bodies. Often the cybernetic origin remains invisible: the new discipline’s founding challenge—guiding antiaircraft fire—has long been overcome. Computer-controlled pacemakers and insulin pumps are taken for granted, brakes and engines of internet-connected cars are run by software, and flying airliners have become ever more automated. Social media form a connection with communities, sometimes even independent from geographical location. Cryptography is widely used, often without users noticing it. Robots don’t just toil in factories. Computers are an integral element of intelligence collection and even military operations, with battle-ready drones circling the skies over the world’s most contested war zones, assassinating tiny humans below when remotely commandeered to do so.
Mastering Blockchain, Second Edition by Imran Bashir
3D printing, altcoin, augmented reality, autonomous vehicles, bitcoin, blockchain, business process, carbon footprint, centralized clearinghouse, cloud computing, connected car, cryptocurrency, data acquisition, Debian, disintermediation, disruptive innovation, distributed ledger, domain-specific language, en.wikipedia.org, Ethereum, ethereum blockchain, fault tolerance, fiat currency, Firefox, full stack developer, general-purpose programming language, gravity well, interest rate swap, Internet of things, litecoin, loose coupling, MITM: man-in-the-middle, MVC pattern, Network effects, new economy, node package manager, Oculus Rift, peer-to-peer, platform as a service, prediction markets, QR code, RAND corporation, Real Time Gross Settlement, reversible computing, RFC: Request For Comment, RFID, ride hailing / ride sharing, Satoshi Nakamoto, single page application, smart cities, smart contracts, smart grid, smart meter, supply-chain management, transaction costs, Turing complete, Turing machine, web application, x509 certificate
IoT can be defined as a network of computationally intelligent physical objects (any object such as cars, fridges, industrial sensors, and so on) that are capable of connecting to the internet, sensing real-world events or environments, reacting to those events, collecting relevant data, and communicating it over the internet. This simple definition has enormous implications and has led to exciting concepts, such as wearables, smart homes, smart grids, smart connected cars, and smart cities, that are all based on this basic concept of an IoT device. After dissecting the definition of IoT, four functions come to light as being performed by an IoT device. These include sensing, reacting, collecting, and communicating. All these functions are performed by using various components on the IoT device. Sensing is performed by sensors. Reacting or controlling is performed by actuators, the collection is a function of various sensors, and communication is performed by chips that provide network connectivity.
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
School Faces FBI Probe,” ABC News, Feb. 22, 2010. 3 In one city alone: Loretta Chao, “Cisco Poised to Help China Keep an Eye on Its Citizens,” Wall Street Journal, July 5, 2011. 4 “as small as six inches”: John Biggs, “DARPA Builds a 1.8-Gigapixel Camera,” TechCrunch, Jan. 28, 2013. 5 As a result, cameras can perform: “Fighting Terrorism in New York City,” 60 Minutes, Sept. 26, 2011. 6 One young woman: “Miss Teen USA: Screamed upon Learning She Was ‘Sextortion’ Victim,” CNN, Sept. 28, 2013. 7 Abrahams carried out his attack: Aaron Katersky, “Miss Teen USA 1 of ‘Half-Million’ ‘Blackshades’ Hack Victims,” ABC News, May 19, 2014. 8 “All of a sudden”: Amy Wagner, “Hacker Hijacks Baby Monitor,” Fox News, April 22, 2014. 9 “Wake up … you”: “Parents Left Terrified After Man Hacked Their Baby Monitor and Yelled Abuse at Them and Their 2-Year-Old Daughter,” Mail Online, Aug. 13, 2013. 10 Nearly 70 percent: Kim Zetter, “Popular Surveillance Cameras Open to Hackers, Researcher Says,” Wired, May 15, 2012. 11 As a consequence: Kelly Jackson Higgins, “Millions of Networked Devices in Harm’s Way,” Dark Reading, Jan. 29, 2013. 12 Without the consent: Katie Notopoulos, “Somebody’s Watching: How a Simple Exploit Lets Strangers Tap into Private Security Cameras,” Verge, Feb. 3, 2012. 13 Why not hack: Jim Finkle, “US Security Expert Says Surveillance Cameras Can Be Hacked,” Reuters, June 18, 2013. 14 That’s exactly what a team: Mark Buttler, “Crown Casino Hi-Tech Scam Nets $32 Million,” Herald Sun (Melbourne), March 14, 2013. 15 Confident of his bets: Kim Zetter, “Crooks Spy on Casino Card Games with Hacked Security Cameras, Win $33M,” Wired, March 15, 2013. 16 A car rolling off: Robert N. Charette, “This Car Runs on Code,” IEEE Spectrum, Feb. 1, 2009. 17 All these embedded electronics: Ibid.; Chris Bryant, “Manufacturers Respond to Car-Hacking Risk,” Financial Times, March 22, 2013. 18 While event-data-recording black boxes: Craig Timberg, “Web-Connected Cars Bring Privacy Concerns,” Washington Post, March 5, 2013. 19 “[We know] everyone”: “GPS Users Beware, Big Auto Is Watching: Report,” CNBC.com, Jan. 9, 2014. 20 GM’s OnStar: John R. Quain, “Changes to OnStar’s Privacy Terms Rile Some Users,” Wheels (blog), New York Times, Sept. 22, 2011. 21 Oh, and that convenient: Declan McCullagh and Anne Broache, “FBI Taps Cell Phone Mic as Eavesdropping Tool,” CNET, Dec. 1, 2006; Bruno Waterfield and Matthew Day, “EU Has Secret Plan for Police to ‘Remote Stop’ Cars,” Telegraph, Jan. 29, 2014. 22 In just the first six months: Jeff Bennett, “GM Adds 8.45 Million Vehicles to North America Recall,” Wall Street Journal, June 30, 2014; Christopher Jensen, “An Increase in Recalls Goes Beyond Just G.M.,” New York Times, May 29, 2014. 23 When the deeply complex: James R.
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
Some doctors prescribe health care Apps in addition to medications as part of a therapeutic regime, and the race to design low-cost clinical tools (a “tricorder”) redefines the administration of medical equipment.43 Cars are already App platforms, but the real innovation in specific Apps for transportation hardware is still to come. Driverless cars (or cars that are simply more autonomous along a generic spectrum) would change what passengers are expected to do and not do while hurtling through the City layer and on what events they are expected to focus their attention. Apps that connect cars to work or play, some using windows as screens, will, for better or worse, further virtualize the experience of automotive drift. Some cars might be bound to an Android or iOS platform lock-in, or new manufacturer-specific operating systems might support neither or both, but cars already contain multiple software and hardware systems, and by extending these to control how cars navigate streets and how passengers interact with the world and one another, it's not difficult to see how the redefinition of “a car” as a high-velocity computing platform, enveloping the user inside, initiates new genres of in-motion Apps.
Scandinavia by Andy Symington
call centre, carbon footprint, centre right, clean water, connected car, edge city, full employment, glass ceiling, Kickstarter, low cost airline, low cost carrier, mass immigration, New Urbanism, North Sea oil, out of africa, period drama, Skype, the built environment, trade route, urban sprawl, walkable city, young professional
Getting There & Away Air Most flights land at Oslo’s main international airport in Gardermoen (www.osl.no) , 50km north of the city; it’s the country’s main international gateway and domestic hub. Oslo Torp, 123km south of the city, and Rygge Airport, 60km southeast of Oslo, are secondary airports. Boat For details of international ferry services, Click here . Bus Long-distance buses arrive and depart from the Galleri Oslo Bus Terminal ( Schweigaards gate 8, Galleri Oslo) ; the train and bus stations are linked via an overhead walkway for easy connections. Car & Motorcycle The main highways into the city are the E6 from the north and south, and the E18 from the southeast and west. Each time you enter Oslo, you must pass through (at least) one of 19 toll stations and pay Nkr25. Train All trains arrive and depart from Oslo S in the city centre. It has reservation desks ( 6.30am-11pm) and an information desk ( 81 50 08 88; press 9 for service in English) , which provides details on routes and timetables throughout the country.