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The Great Race: The Global Quest for the Car of the Future by Levi Tillemann
Affordable Care Act / Obamacare, Any sufficiently advanced technology is indistinguishable from magic, autonomous vehicles, banking crisis, car-free, carbon footprint, cleantech, creative destruction, decarbonisation, deindustrialization, demand response, Deng Xiaoping, Donald Trump, Elon Musk, en.wikipedia.org, energy security, factory automation, global value chain, hydrogen economy, index card, Intergovernmental Panel on Climate Change (IPCC), joint-stock company, Joseph Schumpeter, Kickstarter, manufacturing employment, market design, megacity, Nixon shock, obamacare, oil shock, Ralph Nader, RFID, rolodex, Ronald Reagan, Rubik’s Cube, self-driving car, shareholder value, Silicon Valley, Silicon Valley startup, skunkworks, smart cities, sovereign wealth fund, special economic zone, Steve Jobs, Tesla Model S, too big to fail, Unsafe at Any Speed, zero-sum game, Zipcar
Crisis and Compensation: Public Policy and Political Stability in Japan, 1949–1986. Princeton, NJ: Princeton University Press. ———. 1993. Strategic Capitalism: Private Business and Public Purpose in Japanese Industrial Finance. Princeton, NJ: Princeton University Press. Caldwell, Jessica. 2013. “Drive by Numbers—Tesla Model S is the vehicle of choice in many of America’s wealthiest zip codes.” Edmunds.com, October 10, 2013, http://www.edmunds.com/industry-center/analysis/drive-by-numbers-tesla-model-s-is-the-vehicle-of-choice-in-many-of-americas-wealthiest-zip-codes.html. California Air Resources Board. 2009. “California Exhaust Emission Standards and Test Procedures for 2009 and Subsequent Model Zero-Emission Vehicles and Hybrid Electric Vehicles, in the Passenger Car, Light-Duty Truck and Medium-Duty Vehicle Classes.”
Stranded in the mean streets of Los Angeles, he would be left at the mercy of axe murderers and serial killers. Pulling into the Saturn parking lot with just four miles left in his battery pack, the sweaty TV host pronounced his final verdict: “probably the most stressful ride of my life . . . The batteries suck, the range is appalling and if you had to buy one it would cost you a whopping 35,000 pounds.” Wilson’s brush with death was playacting—Top Gear would pull a similar stunt with the Tesla Model S some years later. But he wanted to send a message: the EV1 had a long way to go before it would be ready for a broader audience. But to a clutch of Californians, the EV1 was much more than the sum of its parts. Certainly the EV1 was quiet. Its range was respectable. And its handling and acceleration—zero to 60 in about 8 seconds—were both up to par for the day. But all of this paled in comparison to the coupe’s raw symbolic power.
To boot, the car seated up to seven passengers—five adults in the main cabin and two children in the rear-facing child jump seats. It was quite a package: acceleration and handling of a supercar, safety of a Volvo, seating of a minivan, wicked curves, and a powertrain that was a blissful playground for performance enthusiasts and technologists alike. Consumer Reports, which had trashed the Fisker Karma, called the Tesla Model S the best car it had ever driven. Period. The Wall Street Journal called it “the most impressive feat of American industrial engineering since . . . Mr. Musk’s SpaceX successfully launched and recovered a spacecraft that rendezvoused with the international space station.”6 Although SpaceX had achieved that goal only a few months earlier, it was a sincere compliment. Indeed, Musk was perhaps the only person in history to found both a rocket and car company and had frequently opined that building Tesla was “much harder.”
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
The iPhone was by then status quo and the Great Innovators of the Valley had turned their attention to photo-sharing apps and ad optimization. Software engineers were earning millions to digitize aggregated attention and make it amenable to the distribution of newsfeed flyers. Other ideas failed to inspire. Facebook, but for small groups of people? Limos on demand, but for middle-class San Franciscans? Marissa Mayer, but for Yahoo!? Then, in June 2012, the Tesla Model S came along. While it enjoyed a splendid launch party, the public didn’t know much about it at first. The luxury electric sedan came with a $70,000 price tag, and that was just for the cheapest version. At the launch event, Tesla handed over the keys to only ten cars, with plans to scale up production later. Reviewers got ten-minute test drives. Still, it was enough to capture the imaginations of the auto and tech media.
It’s about something much bigger. It’s a story about how one determined Silicon Valley start-up changed the entire auto industry, along the way inspiring a slew of well-funded imitators from California to China. It’s a system-level view of a technological and economic transformation that will affect the lives of everyone on the planet. It is the story of a revolution that Tesla started. When I first drove the Tesla Model S, I thought of it as a computer on wheels. Its digital controls, Internet connection, software updates, and iPad-like touch screen do tend to create that impression. But that description undersells its promise. The Model S—like all of Tesla’s cars—can be better thought of as a battery on wheels. Just look at it. Stripped of its shell and seats, the machine is essentially a set of four wheels bracing a low-slung metallic mattress that contains several thousand cylindrical lithium-ion batteries like those used in old laptops.
In his 2015 biography of Musk, the journalist Ashlee Vance detailed an encounter Musk had with a young woman, Christie Nicholson, at his birthday party in Toronto. She was the daughter of a banking executive from whom Musk had sought business advice. He hadn’t met her before his birthday. When Nicholson arrived at the party, Musk greeted her and led her to the couch. He didn’t waste time with small talk. “I think a lot about electric cars,” he said. “Do you think about electric cars?” * * * From its first day on the road, the Tesla Model S was a great electric car. But for Musk, who had made it his mission to replace every gasoline-burning vehicle on the road with an electric alternative, best in class simply wasn’t good enough. To achieve Tesla’s initial mission of accelerating the world’s transition to sustainable transport, Musk’s cars would have to be better than internal combustion engine vehicles in almost every regard. At the time of my stomach-flattening drive through Napa with Dad, the Model S was a rear-wheel-drive car that performed well in snowy and icy conditions, but the market in parts of the world that experienced harsh winters still preferred all-wheel-drive vehicles.
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
Like Uber, Tesla sits in a God-like position that allows it to know everything about each car and its location at any moment. If that unnerves you, you can contact Tesla and opt out of its telematics program. However, if you do, you will miss out on automatic software updates, which include security fixes and new features. Of course the security community is interested in the Tesla, and independent security researcher Nitesh Dhanjani has identified some problems. While he agrees with me that the Tesla Model S is a great car and a fantastic product of innovation, Dhanjani found that Tesla uses a rather weak one-factor authentication system to access the car’s systems remotely.19 The Tesla website and app lack the ability to limit the number of log-in attempts on a user account, which means an attacker could potentially use brute force to crack a user’s password. That means a third party could (assuming your password is cracked) log in and use the Tesla API to check the location of your vehicle.
The most recent update, a feature called Summon, allows you to tell the car to pull itself out of the garage or park itself in a tight spot. In the future, Summon will allow the car to pick you up from any location across the country. Kinda like the old TV show Knight Rider. In refuting a negative review in the New York Times, Tesla admitted to the power of data they have on their side. Times reporter John Broder said that his Tesla Model S had broken down and left him stranded. In a blog, Tesla countered, identifying several data points they said called into question Broder’s version of the story. For example, Tesla noted that Broder drove at speeds ranging from sixty-five miles per hour to eighty-one miles per hour, with an average cabin temperature setting of seventy-two degrees Fahrenheit.20 According to Forbes, “data recorders in the Model S knew the temperature settings in the car, the battery level throughout the trip, the car’s speed from minute to minute, and the exact route taken—down to the fact that the car reviewer drove circles in a parking lot when the car’s battery was almost dead.”21 Telematics capability is a logical extension of the black boxes mandatory in all cars produced for sale in the United States after 2015.
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.
The Elements of Power: Gadgets, Guns, and the Struggle for a Sustainable Future in the Rare Metal Age by David S. Abraham
3D printing, Airbus A320, carbon footprint, clean water, cleantech, commoditize, Deng Xiaoping, Elon Musk, en.wikipedia.org, glass ceiling, global supply chain, information retrieval, Intergovernmental Panel on Climate Change (IPCC), Internet of things, new economy, oil shale / tar sands, oil shock, reshoring, Robert Metcalfe, Ronald Reagan, Silicon Valley, South China Sea, Steve Ballmer, Steve Jobs, telemarketer, Tesla Model S, thinkpad, upwardly mobile, uranium enrichment, WikiLeaks, Y2K
McKinsey, “Battery Technology Charges Ahead,” July 2012, http://www.mckinsey.com/insights/energy_resources_materials/battery_technology_charges_ahead; International Energy Agency, Tracking Clean Energy Progress 2013; Electrification Coalition, “State of the Plug-in Electric Vehicle Market,” 2013, electrificationcoalition.org/sites/default/files/EC_State_of_PEV_Market_Final_1.pdf; Angus MacKenzie, “2013 Motor Trend Car of the Year: Tesla Model S,” Motor Trend Magazine, January 2013, www.motortrend.com/oftheyear/car/1301_2013_motor_trend_car_of_the_year_tesla_model_s/; Jack Kaskey and Simon Casey, “Tesla to Use North American Material Amid Pollution Worry,” Bloomberg, March 28, 2014, www.bloomberg.com/news/2014-03-28/tesla-to-use-north-american-material-amid-pollution-worry.html. 31. Jon Sonneborn, telephone interview by David Abraham, April 4, 2014. 32. Merrill Lynch analyst John Lovallo states that the company believes a range of $100–$150/kWh is needed to create a competitive advantage over internal combustion end vehicles.
Chris Ciaccia, “Tesla Unveils Gigafactory: What Wall Street’s Saying,” Thestreet, February 27, 2014, http://www.thestreet.com/story/12459694/1/tesla-unveils-gigafactory-what-wall-streets-saying.html; Sebastian Anthony, “Tesla’s Model S Now Has a Titanium Underbody Shield to Reduce Risk of Battery Fires to ‘Virtually Zero,’ ” Extremetech, March 28, 2014, http://www.extremetech.com/extreme/179422-teslas-model-s-now-has-a-titanium-underbody-shield-to-reduce-risk-of-battery-fires-to-virtually-zero. 33. McKinsey, “Battery Technology Charges Ahead”; International Energy Agency, Tracking Clean Energy Progress 2013; Kaskey and Casey, “Tesla to Use North American Material”; ARPA-E, “The All-Electron Battery: A Quantum Leap Forward in Energy Storage,” 2010, arpa-e.energy.gov/?q=programs/beest. 34. Cyrus Wadia, Paul Albertus, and Venkat Srinivasan, “Resource Constraints on the Battery Energy Storage Potential for Grid and Transportation Applications,” Journal of Power Sources 196, no. 3 (2011): 1593–98, doi:10.1016/j.jpowsour.2010.08.056. 35.
The End of Doom: Environmental Renewal in the Twenty-First Century by Ronald Bailey
3D printing, additive manufacturing, agricultural Revolution, Albert Einstein, Asilomar, autonomous vehicles, business cycle, Cass Sunstein, Climatic Research Unit, Commodity Super-Cycle, conceptual framework, corporate governance, creative destruction, credit crunch, David Attenborough, decarbonisation, dematerialisation, demographic transition, disruptive innovation, diversified portfolio, double helix, energy security, failed state, financial independence, Gary Taubes, hydraulic fracturing, income inequality, Induced demand, Intergovernmental Panel on Climate Change (IPCC), invisible hand, knowledge economy, meta analysis, meta-analysis, Naomi Klein, oil shale / tar sands, oil shock, pattern recognition, peak oil, Peter Calthorpe, phenotype, planetary scale, price stability, profit motive, purchasing power parity, race to the bottom, RAND corporation, rent-seeking, Stewart Brand, Tesla Model S, trade liberalization, University of East Anglia, uranium enrichment, women in the workforce, yield curve
Of course, if demand for electric vehicles takes off, production would have to increase significantly. Perhaps a good way to think about future demand for lithium is to consider that 9 kilograms (about 20 pounds) of it goes into the Tesla Model S 990-pound battery pack. The Tesla can go about 250 miles on a single electric charge. A ton of lithium is enough to produce 111 Tesla batteries, and in 2013 the world produced 35,000 metric tons of lithium. Current lithium production could therefore notionally supply batteries to power just under 3.9 million Tesla Model S cars. In 2013, US-based automakers produced just over 11 million vehicles. Assuming that all used the same batteries as the Tesla Model S implies a consumption of about 100,000 metric tons of lithium annually. At that rate, reserves would last 123 years, and estimated resources 380 years. A 2011 study on global lithium availability by researchers at the University of Michigan and Ford Motor Company estimated that the cumulative twenty-first-century demand for lithium would likely range between 12 and 20 million tons, depending on assumptions regarding economic growth and recycling rates.
The End of Traffic and the Future of Transport: Second Edition by David Levinson, Kevin Krizek
2013 Report for America's Infrastructure - American Society of Civil Engineers - 19 March 2013, 3D printing, American Society of Civil Engineers: Report Card, autonomous vehicles, barriers to entry, Bay Area Rapid Transit, big-box store, Chris Urmson, collaborative consumption, commoditize, crowdsourcing, DARPA: Urban Challenge, dematerialisation, Elon Musk, en.wikipedia.org, Google Hangouts, Induced demand, intermodal, invention of the printing press, jitney, John Markoff, labor-force participation, lifelogging, Lyft, means of production, megacity, Menlo Park, Network effects, Occam's razor, oil shock, place-making, post-work, Ray Kurzweil, rent-seeking, ride hailing / ride sharing, Robert Gordon, self-driving car, sharing economy, Silicon Valley, Skype, smart cities, technological singularity, Tesla Model S, the built environment, Thomas Kuhn: the structure of scientific revolutions, transaction costs, transportation-network company, Uber and Lyft, Uber for X, uber lyft, urban renewal, women in the workforce, working-age population, Yom Kippur War, zero-sum game, Zipcar
The first Google style AV to pass the unmapped or incorrectly mapped area will update the map as it passes, but it will of course need the capability of traveling with unmapped, incompletely mapped, or incorrectly mapped instances. And if it can do that autonomously, does it really need the map to proceed? It it cannot do that autonomously, there remain issues with autonomous to human control interfaces. 160 Hull, Dana (2015-10-15) Tesla Model S With Autopilot Isn't Quite `Look Ma, No Hands' Yet. Bloomberg. http://www.bloomberg.com/news/articles/2015-10-15/tesla-model-s-with-autopilot-isn-t-quite-look-ma-no-hands-yet 161 There is a great deal of uncertainty about what to call autonomous vehicles. Some prefer "self-driving" vehicles. Some maintain these are different things. But just as we had horseless carriages, automobiles, and cars, eventually these will be called autos and cars as well. See the Economist, which maintains they are not the same, as self-driving cars are a step further than autonomous vehicles, which lack steering wheels and human control: http://www.economist.com/blogs/economist-explains/2015/07/economist-explains?
Big Data at Work: Dispelling the Myths, Uncovering the Opportunities by Thomas H. Davenport
Automated Insights, autonomous vehicles, bioinformatics, business intelligence, business process, call centre, chief data officer, cloud computing, commoditize, data acquisition, disruptive innovation, Edward Snowden, Erik Brynjolfsson, intermodal, Internet of things, Jeff Bezos, knowledge worker, lifelogging, Mark Zuckerberg, move fast and break things, move fast and break things, Narrative Science, natural language processing, Netflix Prize, New Journalism, recommendation engine, RFID, self-driving car, sentiment analysis, Silicon Valley, smart grid, smart meter, social graph, sorting algorithm, statistical model, Tesla Model S, text mining, Thomas Davenport
The “common” (though they are obviously still emerging) approaches to adding big data to products involve services—capturing and analyzing data on how the products are being used, when they are likely to break, and how they can be serviced most effectively and efficiently. It’s also possible to use big data to inform customers about their behavior relative to a product—how to drive a car in a more energy-efficient manner, for example. Data can also be embedded in the product itself, as it is for the Tesla Model S. Vehicle data logs for the car can be used to monitor performance remotely, signal the need for maintenance, and let drivers know how their mileage and performance compare with other drivers’ experience. Taking advantage of this lesson can be difficult if your primary business doesn’t involve big data or related technologies. But there are several ways to get started if you are a large, not-so-nimble organization.
See also Google StreetView mapping project supply chain, 5, 8t, 52, 53, 68, 78, 144, 162, 188 system development methodology, 20, 161, 199 Tableau, 183 Talent Analytics, 100 targets for big data, 144–145, 151 TARGUSinfo, 79 team approach, and data scientists, 99–101, 165–167, 181, 201, 209 technology, 113–134 action plan for managers in, 134 alternative platforms used together in, 131–133 belief in, and culture of big data, 147–148 big data analysis and, 117–118 big data and warehouse coexistence in, 130–131, 131f cost reduction with, 60–61, 62 examples of companies using, 128–133 hybrid models in, 200–201 integration of, 126–128, 127f, 199–200 overview of, 113–114, 114t stack in, 119–126, 119t storage approaches needed with, 116–117 time reduction using, 63–64 value to organization of, 115–116 See also architecture and specific processes and products technology architecture. See architecture telecommunications industry, 5, 21, 47–48, 78–79, 86–87, 168, 196, 197 telematic, 52, 178, 193 telemedicine, 45 03/12/13 2:04 PM Index 227 Teradata, 117, 131, 132, 160 Teradata Aster, 133, 140 Tesco, 44 Tesla Model S car, 155 text data analysis of, 88, 113, 114t, 118, 122–123, 177, 184, 191, 208 health-care industry use of, 43, 45, 67, 181 increased volume of, 11 management of, 78 voice conversion to, 67 Tibco Spotfire, 169. See also Spotfire time frame for adoption of big data, 79–84 time reduction strategy, 63–65 Tomak, Kerem, 63–64, 184 training programs for data scientists, 14, 104, 184, 209 for managers, 112 transportation industry, 5, 8, 8t, 13, 35, 82 travel industry big data applications in, 3, 5, 8t, 24, 42, 75–76, 82, 164, 179 future scenario of big data’s impact on, 33–35 trusted adviser traits of data scientists, 88, 92–93 turbine, monitoring of, 13, 25, 47, 74, 177, 185 Twitter, 12, 13, 22, 24, 94, 104, 169 underachievers in big data usage, 42t, 43–44 UN Global Pulse innovation lab, 17, 20, 107 United Healthcare, 67, 180, 181 UnitedHealth Group, 155–156 universities big data courses in, 14, 101–102, 112 data scientists drawn from, 101–103 University of Alabama, 102 University of California, Berkeley, School of Information, 102 University of Cincinnati, 102 University of Illinois Neustar Labs, 79 University of Indiana Kelley School of Business, 103 University of Pittsburgh Medical Center, 143, 202 University of San Francisco, 102 Index.indd 227 University of Tennessee, 102 University of Virginia, 102 unstructured data analysis of, 4t, 81, 88, 94, 98, 113, 115, 142, 177, 186, 194t, 206, 208 conversion to structure format of, 93, 110, 117–118, 121, 137 customer information in, 51, 67, 68, 69, 180, 186 processing and storage of, 79, 96, 119, 126, 132, 204 sources with, 1, 8t, 10t, 23, 62, 91, 113, 127, 195, 197, 204 See also images; text data; video data US Air Force, 19 UPS, 10, 52, 73, 177, 178, 182, 194, 202 USAA, 120, 137, 138, 182, 202 Valdes-Perez, Raul, 172 value proposition, in large companies, 187 Varian, Hal, 87, 147, 164 Vayama, 24 Verizon Communications, 196 Verizon Wireless, 48, 196, 197 Vertica, 183 vertical data scientists, 97–99 video data, 8t analysis of, 9, 88, 96, 113, 118, 127f, 131f, 184, 208 customer information from, 46, 177, 180 increased volume of, 1 military use of, 19 retail industry and, 37–39, 42 sports and, 56 visual analytics, 29, 64, 88, 94–96, 95f, 109, 114t, 124, 169, 184, 195–196, 200 visualization of data, 124–125, 125f Vivisimo, 172 Vodaphone Group, 196 voice data analysis of, 88, 113, 118, 177, 208 customer information from, 67, 68, 181 increased volume of, 11 Voldemort, 160 Volkswagen, 83 WakeMate, 12 Walmart, 44, 46 WalMartLabs.
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
This page intentionally left blank CHAPTER 19 CUSTOMERS’ EXPECTATIONS INCIDENTS Many drivers express a great deal of insecurity when the topic of autonomous-driving technology comes up, and this is evident in the fact that every bit of new information about self-driving cars immediately affects people’s willingness to buy one. As already discussed, the ﬁrst fatality in a self-driving car occurred in May 2016 in an electric Tesla Model S with the so-called autopilot activated. The car collided with a tractor-trailer on a highway in Florida. Apparently, the Model S sensors and camera could not distinguish the white side-wall of the truck from the particularly bright sky behind it. However, Tesla had explicitly warned drivers never to take their hands off the wheel and to maintain control of the car at all times, since the Tesla Model S had not yet been brought to Level 3 automated driving. Less well known are the success stories; only two months later, a driver from Missouri reported that his Tesla had saved his life. On his way to home from work, he felt chest pains that later turned out to be a pulmonary embolism.
See Emergency call (eCall) Eco-driving functions, 297 Eco-routing applications, 299 Economic(s), 65, 328 approach, 250 251 exchange, 344 potential savings from selfdriving cars and trucks, 66 savings effects from autonomous cars, 67 68 from autonomous trucks, 68 69 value shifts in automotive industry, 329 Ecosystem degree of autonomy, 262 263 ecosystem of vehicles, 263 264 intelligent connected vehicle, 261 262 tractor to ecosystem, 262 of vehicles, 263 264 e-drive mode. See Egotistical mode (e-drive mode) e-Golf, 180 Egotistical mode (e-drive mode), 252 Eight Race car Drivers, statements by, 62 Electric cars, 26, 27 Electric motors, 26 Electric Tesla Model S, 203 Electriﬁcation, 26 27 Electronic stability control (ESC), 303 Index Electronic stability program (ESP), 333 Elevator technology, 32 Emergency call (eCall), 136 137 Emerging societies automotive industry, 379 process of industrialization, 378 Emissions, 187 192 End-2-end deep neural networks, 115 Endorsers, 225 Engine management, 122 Enhanced mobile broadband (eMBB). See Conventional broadband applications Entertainment, 74, 212 Epley, Nicholas, 292 Ericsson, 130 Ethernet, 143 144 Ethics and morals for autonomous driving approaches, 250 252 avoid collisions, 249 250 conﬂicts, 252 254 ethics commission, 254 255 experiments, 252 Julian Nida-Rümelin statement, 253 254 level of transparency, 255 Martin Kolmar statement, 256 trolley problem, 250 Europe, projects in, 369 371 European Commission, 246 European Union, 407 Facebook, 26, 117, 227, 319 Fail operational system, 123 Fail-safe system, 123 Fallback level, 127 Faraday Future, 183 Federal Motor Vehicle Safety Standards, 234 Federal Trade Commission (FTC), 146 Fendt manufacturer, 154 433 Ferragni, Chiara (Italian fashion designer), 226 Fiat 500e, 27 Fields, Mark, 180 Fiesta model, 227 Fiesta Movement, 227 Financial incentives, 222 Finnish mobility, 371 First autonomous vehicles, categories of, 82 5G, 131 133 Automotive Association, 130 licenses, 403 networks, 132, 173, 379 Flannagan, Carol A., 303 304 Fleet(s), 349 350 management, 364 365 of robo-cars, 347 Forbes, Iain, 368 369 Ford, 6, 130, 180, 322, 332 333, 372 Ford Fiesta, 227 229 Ford Focus Electric, 27 Ford Sync system, 316 Forward collision warning, 4, 72, 193 4G networks, 65, 165, 377, 379, 403 Fraunhofer Society, 320 Frazzoli, Emilio, 112 Free time, 58 Fröhlich, Dieter, 148 Front and rear crash sensing, 78 Fuel economy, 297 299 Fuel-cell electric vehicles, 26 27 Gassmann, Oliver, 300 Geisi, 157 General Motors, 6, 40, 133 134, 136 137, 180, 281, 322, 332 333 Generation Y, 28 German Association of the Automotive Industry (VDA), 17 434 German car manufacturers, 367 368 Germany, A9 autobahn in, 134, 135 Gett app, 317 Gladbach, Peter, 148 Glaser, Erik, 198 Global positioning system (GPS), 141, 377 GPS-based satellite navigation systems, 104 navigation, 154, 263 Google, 9, 138, 173, 179, 182, 255, 327, 330, 334 338, 359 Android Auto, 285 cars, 54 mapping vehicles, 336 maps, 338 GPUs, 115 Gradual automation, 211 Grape harvest, 156 Greenwheels, 345 Gridlock, 22 Grove, Andy (Intel CEO), 222 GuideConnect system, 154 Hardware creators, 314 315 Hazard warnings, 137 HD map, 101, 105, 135 Head-up display, 279, 280, 281 Henriksson, Henrik, 161 Her (2013 movie), 291 Herbie (anthropomorphic racing beetle), 41 HERE, 137 138 live map, 101 Map Service, 101 Hiesinger, Heinrich (ThyssenKrupp CEO), 324 325 High-performance software, 281 Highly automated vehicles, 403 Highway assistant, 49 Highway chauffeur, 49 Index Highway pilot, 49 Hilly landscape of Istanbul, 385 Hockenheim racetrack, 227, 229 Honda Fit EV, 27 Hongqi HQ3, 379 Huang, Jen-Hsun (CEO of Nvidia), 6 Huawei, 130, 131, 372 Human dignity, 251, 253 Human driving, 21 facts about, 21, 23 trafﬁc problems, 22 See also Autonomous driving Human senses, 279 Human voice, 292 Human-like speech, 292 Humanising driving, 102 technology, 292 293 Human machine interaction, 233, 277, 282, 288, 332 333 causes and consequences of driver distraction, 278 head-up display, 280 mechanics, 277 283 take-over request, 285 287 technology, 332 trust, 287 293 user interfaces, 283 285 vision and example of augmented-reality application, 279 280 Hyundai, 180, 372 IBM, 31 IBM Global Parking Survey, 191 192 IBM OS/2, 247 IEEE, 243 Image processing, 124 Imperative programming, 99 In-vehicle algorithms, 298 Individualised displays, 316 Index Industrial policy, 405 Industrialization process, 378 Industry clusters development, 405 406 Inﬁnity Q50, 123 Inﬂuencers, 223 225 Information to passengers and to environment, 108 technology, 261 Infotainment devices, 142, 284, 285 Instant torque, 26 Insurance, 369 companies, 356 357, 358 Insurance industry business model, 353 355 liability, 355 356 new products, new services, 356 359 Intel, 35, 42, 125, 130 Intelligent connected vehicle, 261 262 Intelligent infrastructures, 299 301 International norm committees, 243 International Transport Forum of OECD, 349 Internet, 336 in cars, 136 connectivity, 320 giants, 138, 359 industry, 338 services, 19 iPhone, 7, 398 ISO 11270 Norm for LaneKeeping Assistance System, 244 ISO committees, 243 Israel, projects in, 374 375 Jaguar, 42, 130 Jaybridge Robotics, 181 Junge, Lutz, 115 435 K-City, 7 construction, 7 self-driving car test facility, 373 Keecker Robot, 291 Keller, David, 39 Kia, 6, 7 Kia Soul EV, 27 Kinze manufacturer, 154 Klout, 227 Knight Rider TV series, 41 Kodak, 111, 312 Kolmar, Martin, 256 Kolodge, Kristin, 289 Kred company, 227 Kremling, Hartmut, 131 Land Rover, 42, 130 Land use, 304 Landmarks, 93, 103 Lane localisation, 103 Lane modelling, 103 Lane-departure warnings, 72, 78 Lane-keeping assistance systems (LKAS), 244 Lantz, Brett, 99 100 Last-mile delivery, 168 Launching ride-and car-sharing services, 317 Le Super Electric Ecosystem (LeSee), 183 LeEco, 16, 183 Legal entities, 235 Legal framework, 57, 79, 246, 335, 378, 401 402 Legislation, 11, 172, 367, 401 Leisure time, 34, 212, 322 LeSee.
Elon Musk: Tesla, SpaceX, and the Quest for a Fantastic Future by Ashlee Vance
addicted to oil, Burning Man, cleantech, digital map, El Camino Real, Elon Musk, global supply chain, Hyperloop, industrial robot, Jeff Bezos, Kickstarter, low earth orbit, Mark Zuckerberg, Maui Hawaii, Menlo Park, Mercator projection, money market fund, multiplanetary species, optical character recognition, orbital mechanics / astrodynamics, paypal mafia, performance metric, Peter Thiel, pre–internet, risk tolerance, Ronald Reagan, Sand Hill Road, self-driving car, side project, Silicon Valley, Silicon Valley startup, Steve Jobs, technoutopianism, Tesla Model S, transaction costs, Tyler Cowen: Great Stagnation, We wanted flying cars, instead we got 140 characters, X Prize
The oddity of the moment left me speechless for a beat, while my every synapse fired trying to figure out if this was some sort of riddle, and, if so, how it should be answered artfully. It was only after I’d spent lots of time with Musk that I realized the question was more for him than me. Nothing I said would have mattered. Musk was stopping one last time and wondering aloud if I could be trusted and then looking into my eyes to make his judgment. A split second later, we shook hands and Musk drove off in a red Tesla Model S sedan. ANY STUDY OF ELON MUSK must begin at the headquarters of SpaceX, in Hawthorne, California—a suburb of Los Angeles located a few miles from Los Angeles International Airport. It’s there that visitors will find two giant posters of Mars hanging side by side on the wall leading up to Musk’s cubicle. The poster to the left depicts Mars as it is today—a cold, barren red orb. The poster on the right shows a Mars with a humongous green landmass surrounded by oceans.
Photograph courtesy of SpaceX SpaceX had to conduct its first flights from Kwajalein Atoll (or Kwaj) in the Marshall Islands. The island experience was a difficult but ultimately fruitful adventure for the engineers. Photograph courtesy of SpaceX SpaceX built a mobile mission-control trailer, and Musk and Mueller used it to monitor the later launches from Kwaj. Photograph courtesy of SpaceX Musk hired Franz von Holzhausen in 2008 to design the Tesla Model S. The two men speak almost every day, as can be seen in this meeting in Musk’s SpaceX cubicle. ©Steve Jurvetson SpaceX’s ambitions grew over the years to include the construction of the Dragon capsule, which could take people to the International Space Station and beyond. ©Steve Jurvetson Musk has long had a thing for robots and is always evaluating new machines for both the SpaceX and Tesla factories.
Photograph courtesy of SpaceX Gwynne Shotwell is Musk’s right-hand woman at SpaceX and oversees the day-to-day operations of the company, including monitoring a launch from mission control. Photograph courtesy of SpaceX Tesla took over the New United Motor Manufacturing Inc. (or NUMMI) car factory in Fremont, California, which is where workers produce the Model S sedan. Photograph courtesy of Tesla Motors Tesla began shipping the Model S sedan in 2012. The car ended up winning most of the automotive industry’s major awards. Photograph courtesy of Tesla Motors The Tesla Model S sedan with its electric motor (near the rear) and battery pack (bottom) exposed. Photograph courtesy of Tesla Motors Tesla’s next car will be the Model X SUV with its signature “falcon-wing doors.” Photograph courtesy of Tesla Motors In 2013, Musk visited Cuba with Sean Penn (driving) and the investor Shervin Pishevar (back seat next to Musk). They met with students and members of the Castro family, and tried to free an American prisoner.
The Four: How Amazon, Apple, Facebook, and Google Divided and Conquered the World by Scott Galloway
activist fund / activist shareholder / activist investor, additive manufacturing, Affordable Care Act / Obamacare, Airbnb, Amazon Web Services, Apple II, autonomous vehicles, barriers to entry, Ben Horowitz, Bernie Sanders, big-box store, Bob Noyce, Brewster Kahle, business intelligence, California gold rush, cloud computing, commoditize, cuban missile crisis, David Brooks, disintermediation, don't be evil, Donald Trump, Elon Musk, follow your passion, future of journalism, future of work, global supply chain, Google Earth, Google Glasses, Google X / Alphabet X, Internet Archive, invisible hand, Jeff Bezos, Jony Ive, Khan Academy, longitudinal study, Lyft, Mark Zuckerberg, meta analysis, meta-analysis, Network effects, new economy, obamacare, Oculus Rift, offshore financial centre, passive income, Peter Thiel, profit motive, race to the bottom, RAND corporation, ride hailing / ride sharing, risk tolerance, Robert Mercer, Robert Shiller, Robert Shiller, Search for Extraterrestrial Intelligence, self-driving car, sentiment analysis, shareholder value, Silicon Valley, Snapchat, software is eating the world, speech recognition, Stephen Hawking, Steve Ballmer, Steve Jobs, Steve Wozniak, Stewart Brand, supercomputer in your pocket, Tesla Model S, Tim Cook: Apple, Travis Kalanick, Uber and Lyft, Uber for X, uber lyft, undersea cable, Whole Earth Catalog, winner-take-all economy, working poor, young professional
June 3, 2016. http://www.businessinsider.com/r-amid-sec-probe-jack-ma-says-hard-for-us-to-understand-alibaba-media-2016-6. 15. DeMorro, Christopher. “How Many Awards Has Tesla Won? This Infographic Tells Us.” Clean Technica. February 18, 2015. https://cleantechnica.com/2015/02/18/many-awards-tesla-won-infographic-tells-us/. 16. Cobb, Jeff. “Tesla Model S Is World’s Best-Selling Plug-in Car for Second Year in a Row.” GM-Volt. January 20, 2017. http://gm-volt.com/2017/01/27/tesla-model-s-is-worlds-best-selling-plug-in-car-for-second-year-in-a-row/. 17. Hull, Dana. “Tesla Says It Received More Than 325,000 Model 3 Reservations.” Bloomberg. April 7, 2016. https://www.bloomberg.com/news/articles/2016-04-07/tesla-says-model-3-pre-orders-surge-to-325-000-in-first-week. 18. “Tesla raises $1.46B in stock sale, at a lower price than its August 2015 sale: IFR.”
Army of None: Autonomous Weapons and the Future of War by Paul Scharre
active measures, Air France Flight 447, algorithmic trading, artificial general intelligence, augmented reality, automated trading system, autonomous vehicles, basic income, brain emulation, Brian Krebs, cognitive bias, computer vision, cuban missile crisis, dark matter, DARPA: Urban Challenge, DevOps, drone strike, Elon Musk, en.wikipedia.org, Erik Brynjolfsson, facts on the ground, fault tolerance, Flash crash, Freestyle chess, friendly fire, IFF: identification friend or foe, ImageNet competition, Internet of things, Johann Wolfgang von Goethe, John Markoff, Kevin Kelly, Loebner Prize, loose coupling, Mark Zuckerberg, moral hazard, mutually assured destruction, Nate Silver, pattern recognition, Rodney Brooks, Rubik’s Cube, self-driving car, sensor fusion, South China Sea, speech recognition, Stanislav Petrov, Stephen Hawking, Steve Ballmer, Steve Wozniak, Stuxnet, superintelligent machines, Tesla Model S, The Signal and the Noise by Nate Silver, theory of mind, Turing test, universal basic income, Valery Gerasimov, Wall-E, William Langewiesche, Y2K, zero day
The human’s ability to actually regain control of the system in real time depends heavily on the speed of operations, the amount of information available to the human, and any time delays between the human’s actions and the system’s response. Giving a driver the ability to grab the wheel of an autonomous vehicle traveling at highway speeds in dense traffic, for example, is merely the illusion of control, particularly if the operator is not paying attention. This appears to have been the case in a 2016 fatality involving a Tesla Model S that crashed while driving on autopilot. For fully autonomous systems, the human is out of the loop and cannot intervene at all, at least for some period of time. This means that if the system fails or the context changes, the result could be a runaway autonomous process beyond human control with no ability to halt or correct it. This danger of autonomous systems is best illustrated not with a science fiction story, but with a Disney cartoon.
—The IBM Challenge (Day 1—February 14),” video, https://www.youtube.com/watch?v=i-vMW_Ce51w. 146 Watson hadn’t been programmed: Casey Johnston, “Jeopardy: IBM’s Watson Almost Sneaks Wrong Answer by Trebek,” Ars Technica, February 15, 2011, https://arstechnica.com/media/news/2011/02/ibms-watson-tied-for-1st-in-jeopardy-almost-sneaks-wrong-answer-by-trebek.ars. 146 “We just didn’t think it would ever happen”: Ibid. 147 2016 fatality involving a Tesla Model S: Neither the autopilot nor driver applied the brake when a tractor-trailer turned in front of the vehicle. Anjali Singhvi and Karl Russell, “Inside the Self-Driving Tesla Fatal Accident,” New York Times, July 1, 2016, https://www.nytimes.com/interactive/2016/07/01/business/inside-tesla-accident.html. “A Tragic Loss,” June 30, 2016, https://www.tesla.com/blog/tragic-loss. 148 The Sorcerer’s Apprentice: Sorcerer’s Apprentice—Fantasia, accessed June 7, 2017, http://video.disney.com/watch/sorcerer-s-apprentice-fantasia-4ea9ebc01a74ea59a5867853. 148 German poem written in 1797: Johann Wolfgang von Goethe, “The Sorcerer’s Apprentice,” accessed June 7, 2017, http://germanstories.vcu.edu/goethe/zauber_e4.html. 149 “When you delegate authority to a machine”: Bob Work, interview, June 22, 2016. 150 “Traditional methods . . . fail to address”: U.S.
., 39 Skynet (fictitious weapon system), 26–28, 52–53, 134, 233–34, 360–61 SMArt 155 artillery shell, 343 “smart” weapons, 38–40; see also precision-guided munitions Somme, Battle of the, 38 sonar, 85 Sorcerer’s Apprentice (animated short), 148–49 South China Sea, 209 South Korea, 5, 102, 104–5, 260, 303–4, 356 sovereignty, drones and, 208 Soviet Union, 1–2, 76, 313–14; see also Cold War S&P 500, 199, 204 space shuttle, 154, 382n SpaceX, 154 Spark hobby drone, 115 Sparrow, Rob, 259 spear phishing attacks, 224 speed, 199–210 autonomous weapons and, 207–10 and crisis stability, 304–5 in cyberwarfare, 229–30 and limits of centaur warfighting, 325–26 online price wars, 205 in stock trading, 200–204, 206–7 spoofing attacks, 182–83, 183f, 186, 206 Sputnik, 76, 80 Squad Automatic Weapon (SAW), 37–38 stability, 297–318 autonomous weapons and, 302–3 autonomous weapons’ potential to inflame crises, 317–18 benefits of autonomous weapons in crises, 311–14 and debate over autonomous weapons bans, 351–52 and nuclear weapons, 298–302 psychology of crisis decision-making, 306–11 and removal of human fail-safe, 305–6 speed and, 304–5 stability-instability paradox and mad robot theory, 314–16 strategic, 297–302 Stark, USS, 169 Star Wars, 134 “Star Wars” missile defense shield, 309–10 stationary armed sentry robots, 104–5 stealth drones, 56, 61–62, 209, 354 stigmergy, 21 stock market algorithmic trading, 200–201, 203–4, 206–7, 210, 229, 244, 387n E-mini price manipulation incident, 206 “Flash Crash,” 199–201, 203–4 Knight Capital Group incident, 201–2 Strategic Air Command (SAC), 307 strategic corporal problem, 309 Strategic Defense Initiative, 1, 309–10 strategic stability, 297–302 Strategic Stability (Colby), 299 Strategy of Conflict (Schelling), 341 Stuxnet worm, 213–16, 223, 224 Submarine Safety (SUBSAFE) program, 161–62 submarine warfare, 101 suffering, unnecessary, 257–58 Sullivan, Paul, 162 Sun Tzu, 229 Superintelligence (Bostrom), 237 supervised autonomous weapon systems, 29, 45–46, 45f, 193, 329f CODE, 72–76, 117, 253, 327–28 human intervention in, 147 surface action group (SAG), 64 surrender, false, 259–60 surveillance drones for, 13–14 FLA and, 68–71 swarming by autonomous weapons, 11–13 CODE program, 72–76 command-and-control models, 20f and evolution of autonomy, 17–23 FLA and, 71 of U.S. ships by Iran, 22, 107 synthetic aperture radar (SAR), 86 Syria, 7, 331 system failure, Three Mile Island as, 151 T-14 Armata tank, 116 Tacit Rainbow, 49 Tactical Technology Office (TTO), 79–83 Tactical Tomahawk Land Attack Cruise Missile (TLAM-E), 55, 368n tactics, techniques, and procedures (TTP), 41 Taliban, 3, 253 tanks, robotic, 115–16 Taranis drone, 108–11 targeting ATR, 76, 84–88 autonomous, 116, 123–24, 187 DIY drones and, 123–24 by human-assisted automated weapons, 98 by sentry robots, 112–13 of weapons instead of people, 261 target location error, 98 Target Recognition and Adaption in Contested Environments (TRACE), 84–88, 128 targets, cooperative/non-cooperative, 84–85 task, as dimension of autonomy, 28 TASM, See Tomahawk Anti-Ship Missile TensorFlow, 128–29 Terminator (film series) and autonomous weapon debates, 264 fate in, 360–61 good Terminators in, 295 self-aware robots in, 27 Skynet, 26–28, 52–53, 134, 233–34, 360–61 “Terminator Conundrum,” 8 terrorism, 93, 134 Tesla Model S crash, 147 Tetris, 239 thermostats, programmable, 30–31, 33–34 Third Offset Strategy, 59, 82, 93 Thomas Jefferson High School (TJ), 130–33 Three Laws of Robotics (Asimov), 26–27, 134 Three Mile Island nuclear accident, 151–53, 156 Thresher, USS, 161 tightly coupled systems, 152 TJ (Thomas Jefferson High School), 130–33 Tomahawk Anti-Ship Missile (TASM), 49, 49f, 53–54, 368n Tomahawk Land Attack Cruise Missile (TLAM-E), 55, 368n Tornado GR4A fighter jet incident, 138–40, 176 torpedoes, 39–40 torture, 280 total war, 274, 296, 341 Tousley, Bradford, 80–84, 149, 210, 223–24 TRACE (Target Recognition and Adaption in Contested Environments), 84–88, 128 training, limitations of, 177 transparency and crisis management, 328–29 in description of weapons research, 111 in treaty verification regimes, 344–45, 352–53 treaties, arms control, see arms control Trebek, Alex, 146 Trident II (D5) ballistic missile, 173 Trophy system, 92 trust in Aegis combat system, 168 in automation, see automation bias and cybersecurity, 246 and dangers of autonomous weapons, 192, 194 and deployment of autonomous systems, 83 and need to understand system’s capabilities and limitations, 149–50 Tseng, Brandon, 122, 123, 133 Tseng, Ryan, 122 TTO (Tactical Technology Office), 79–83 TTP (tactics, techniques, and procedures), 41 Turing, Alan, 236 Turing test, 236 Tutsis, 288 Twain, Mark, 35–36 Twitter, 185, 224 U-2 surveillance plane, 307, 310–11 UAV (uninhabited aerial vehicle), 104 UCAV (uninhabited combat aerial vehicle), 62 unguided weapons, 38–39 UNIDIR (UN Institute for Disarmament Research), 150–51 uninhabited aerial vehicle (UAV), 104 uninhabited combat aerial vehicle (UCAV), 62 United Kingdom (UK) autonomous weapons policy, 118 Brimstone missile, 105–8, 117, 326, 353 stance on fully autonomous weapons, 110–11 Taranis drone, 108–11 transparency in description of weapons research, 111 WWII aerial bombardments, 341–42 UK Joint Doctrine Note 2/11 (The UK Approach to Unmanned Aircraft Systems), 109 UN Convention on Certain Conventional Weapons (CCW), see Convention on Certain Conventional Weapons UN Institute for Disarmament Research (UNIDIR), 150–51 UN Security Council, 344 United Nations Special Rapporteur, 287 U.S.
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
She added that ‘they should make such data publicly available for expert validation’.40 In fact, quite the opposite is happening. Manufacturers are not sharing information or divulging it, through fear of passing information to their competitors, and they are not providing it to regulators. The National Transportation Safety Board (NTSB) investigation into the accident that killed Joshua Brown revealed that the Tesla Model S uses the company’s own proprietary system to record a vehicle’s speed and other data. This means that external agencies cannot access this information using the usual tools available commercially for gathering data from most other cars. For that reason, the NTSB said it ‘had to rely on Tesla to provide the data in engineering units using proprietary manufacturer software’.41 That could mean that potential faults in the system might not be revealed, and no independent verification of the safety of the system is possible.
The Virgin Way: Everything I Know About Leadership by Richard Branson
barriers to entry, call centre, carbon footprint, Celtic Tiger, clean water, collective bargaining, Costa Concordia, Donald Trump, Elon Musk, friendly fire, glass ceiling, illegal immigration, index card, inflight wifi, Lao Tzu, low cost airline, low cost carrier, M-Pesa, Mahatma Gandhi, Mark Zuckerberg, Nelson Mandela, Northern Rock, profit motive, Ralph Waldo Emerson, Ronald Reagan, shareholder value, Silicon Valley, stem cell, Steve Jobs, Tesla Model S, trade route, zero-sum game
The luxury/sports sedan market is much smaller in unit sales opportunities but hugely effective in switching the mindset of influential car owners to finally wanting to own an electric car for looks, performance and cool, first adopter cachet, as opposed to just fuel efficiency. And let’s be honest, if you can afford to fork out the price of a luxury vehicle, the cost of fuel is usually the last thing on your mind! The $70,000 Tesla Model S not only looks like a very cool sports car but behaves like one: it reportedly accelerates from 0 to 60 mph in an incredible 3.7 seconds and for those like me who have a conscience about such things, it is almost twice as energy efficient as the homely sector-leading Toyota Prius. And as if all that were not enough, the influential ‘Consumer Reports’ magazine ranked the Tesla as ‘the best we have ever tested’ with a ninety-nine per cent overall rating.
Horatio 294–5 Nest 365, 368–70 Netflix 56–8, 216–18, 358 New York Times 146, 172, 304 Newcastle United FC 258 NeXT 262 Nike 311, 371 Nikon 125 9/11 210, 305 Nokia 311–12 Nolan, Anthony 321 Nominet Trust 363 Northern Rock 185, 186–8, 257–8 note-taking 5, 30–1, 33–7 NTL:Telewest 161 Obama, Barack 79–80 OceanElders 237 Oelwang, Jean 285 Old Man and the Sea, The (Hemingway) 104 Oldfield, Mike 134 O’Leary, Michael 21 Olympic Games, Winter, Sochi 311 Oneworld 312 oratory 31–3, 83–94 common human fear 84 and Q&A format 88–9 and teleprompters 84–5 and well-timed pauses 87 words best avoided during 90–4 words recommended for use during 94–5 Page, Larry 82–3, 130–1, 137, 191, 198, 288, 362–3 and April Fool stunts 268–9 palindromes 111 Pan Am 156, 300 Pascal, Blaise 82 passion: as essence of brand 242 innateness of 242–3 RB’s 242 recognised in others 247 Path 370 PayPal 247 Penni (RB’s assistant) 66 Pepsico 285 ‘Per Ardua ad Astra’ 103 Pioneers TV 280 Pixar 324 Plato 334 Player, Gary 134 Polman, Paul 357 Powell, Colin 79 Pret a Manger, and ex-prisoners 24 Private Sector Employment Indicator 283 procrastination: orchestrated 330, 334 serial 328–9 Project Oxygen 214 public speaking, see oratory Qantas 72, 73, 138, 236 Qwikster 57–8 Raleigh, Walter 293 Reach for the Sky 102–3 Reagan, Ronald 299, 325 Rebel Billionaire, The 192, 195 Reed, Claire 274–5 Reed, Frank 207–8 Reel Gardening 274–5 Remington Products 64 résumé, see CV RetailSales 148 Richard III 197 Ridgway, Steve 76–7 Robinson, Mary 38, 118 Rolling Stones 97 Rose, Greg 339 Rossi, Chris 206 Royal Bank of Scotland 186, 188 Rutherford, Mike 323 Ryanair 21 Safaricom 354 Sainsbury’s, and ex-prisoners 24 Sandberg, Sheryl 285 Sarah Blakely Foundation 195 see also Blakely, Sara SB.TV 281 Schmidt, Eric 268, 288 Scott, Robert Falcon 293 Scully, John 368 Securities and Exchange Commission 331 Seneca 141 Shakespeare, William 197 Sheeran, Ed 281 ShIFT project 355 Singapore Airlines 77, 138–9, 312 Skyteam 312 Skytrain 298, 299, 306 see also Laker Airways social enterprises 360–4 Social Tech, Social Change 363 Souter, Brian 337–8 Southwest Airlines 228–31, 233–4, 239 Soweto 286 SpaceX 247 Spanx 192–5 Spy Who Came in From the Cold, The (le Carré) 30 Spy Who Shagged Me, The 75 Star Alliance 312 Starbucks 169–70 Start-Up Loans Company 283 Steel, Joe 160–1 Stereophonics 97–8 Stevens Aviation 231 Stop and Search UK 362 Student: beginnings of 30, 279, 347 as David vs Goliath 156 Howard interview RB about 90–1 le Carré interviewed for 5, 30 Lennon interviewed for 5 RB as ‘cub reporter’ on 5 Student Loans Company 282 subprime mortgages 331 Sun Microsystems 268 T-Mobile 31 Tait, David 86, 129, 200, 250–1 and RB’s passport 256 Talisman Management 237–8 Tata Group 357 Tata, Ratan 357 team dynamics 322 see also collaboration teleprompters 84–5 Tennyson, Alfred, Lord 295 Tesla Model S 246–7 Tewson, Jane 23 Thatcher, Margaret 80, 299 Tiffany 148 Toll Group 24 TOMS 357, 359 Towers Watson 215–16 Trafalgar, Battle of 294 Trump, Donald 21, 197 Truth and Reconciliation Commission 38 Tubular Bells 134–5, 166 Tutu, Desmond 37–8 TWA 156, 300 Twain, Mark 40, 86–7, 88, 155, 180 Twitter 82, 106, 131 UN Foundation 359 Unilever 359 unions 243–4 Vega, Cecilia 285 Virgin Active 62, 108–10, 206, 207–8 quote on leadership and listening from 46 in Soweto 286 Virgin America 74, 77, 151–3, 209–10, 257, 286 cabin innovations at 371 Virgin Atlantic 70, 71–2, 74–5, 76–7, 129, 130, 144, 171–3, 200–1, 245, 333 BA’s ad battle with 172–3 and British Airways 301 cabin innovations at 371 Clubhouse Lounges of 63, 181, 183 and collaboration 312–13 complimentary limos offered by 158 and Continental Airlines 150–1 and Coutts Bank 118 as David vs Goliath 156–9 and delegation 200 and gut feeling 329 and headsets 145–6 and Heathrow emergency landing 98 inaugural flight of 255–7 and King’s ‘pirate’ gibe 301 Laker’s advice to 300 left out of flotation 165 new HQ for 121 new routes made available to 140 ‘nothing “typical” about’ 146 perceived as ‘rock-and-roll airline’ 74 RB cold-calls customers of 66–7 and RB’s ballooning 304 RB’s hands-on approach to 128 and RB’s logo stunt against BA 301–2 shiatsu massages offered by 171 single-aeroplane route flown by 156 Upper Class offered by 158, 182–3 and Virgin Mobile, parallels with 159–60 Virgin Australia (formerly Virgin Blue) 72–4, 75–6, 138–40, 236, 243, 245–6, 257 and gut feeling 329 Virgin Blue, see Virgin Australia Virgin Bride 329 Virgin Cola 58–9, 304–7, 329 Virgin Cruises 333 Virgin Digital 127 Virgin Express 243–4 Virgin Galactic 40, 103, 247, 270, 333, 371–2 Virgin Group: airlines owned by 22, 62, 257; see also individual airlines corporate culture adopted by, beginnings of 235 definition-of-leadership research among 43–7, 191 disparate range offered by 236, 243 and ex-prisoners 24 floatation of 165–6 floatation reversal by 167 head offices of 49 major lawsuits concerning 31 new corporate HQ of 258–9 note-taking among personnel of 34; see also note-taking parties thrown by, see Virgin parties and get-togethers passion as brand essence of 242 RB’s and employees’ top leadership attributions of 44–5 see also individual Virgin brands Virgin Holidays 69 Virgin Hotels 62–4, 69 Virgin Limited Edition 62, 191, 209 quote on leadership and listening from 47 Virgin Management: definition-of-leadership research by 43–7, 191 and ex-prisoners 24 Virgin Media 161–2 ads of 171 day-off-for-giving idea of 320–1 quote on leadership and listening from 46 Virgin Media Pioneers (VMP) 280–2 Virgin Mega 111–13 Virgin Megastores 126, 127–8, 181–2, 262 New York City 182 Paris 181 Virgin Mobile 159–61, 171, 285 music festival of 173–4 Virgin Mobile Australia, quote on leadership and listening from 45 Virgin Mobile FreeFest 174 Virgin Money 164, 181, 185–90, 285 ‘Everybody Better Off’ (EBO) philosophy of 188, 190 and Goldman Sachs 330–1 Lounge concept of 188–90 as Newcastle United kit sponsor 258 Northern Rock acquired by 185, 187, 257–8 and Virgin StartUp 283 Young Enterprise’s collaboration with 277–8 Virgin One 186 Virgin parties and get-togethers 253–5 at Manor, Oxfordshire 254–5 and new corporate HQ 258–9 and Northern Rock acquisition 257–8 Virgin Atlantic inaugural flight 255–7 weekend-long 255 Virgin Produced 365 Virgin Pulse 127, 359 Virgin Records 97, 245, 333 as David vs Goliath 156 first album release of 134–5 first shop of 181 and people-first culture 228 ‘Slipped Disc’ name suggestion for 170 staff member’s thefts from 22–3 ‘Virgin Shaglantic’ 75 Virgin StartUp 283 Virgin Trains 144, 247–50, 317 and Department for Transport 41 and ex-prisoners 24 and FirstGroup 335–40 and north-east derailment 343–4 quote on leadership and listening from 46 and West Coast franchise 41, 335–40 Virgin Unite 274, 280, 285, 291, 355 Virgin Way: evolution of 5 parties an essential part of 259; see also Virgin parties and get-togethers project named after 43 and testing own products 65 ‘Virgle’ 269 Vodafone 354 VOSS 355 V2 Records 97–8 Wal-Mart 349–53 Warwickshire Police 106 water saving 352–3, 354 Wayne, John 29–30 Wayne, Ronald 137 Wells, Adam 371 West Coast rail franchise 41, 335–40 Whitehorn, Will 343–4 Whiteside, George 40 wildlife crime 362–3 Winfrey, Oprah 194 women: on battlefield 295 as entrepreneurs 284–5 Working Chance 24 working from home, see home working Wozniak, Steve 137 Yahoo!
The Future Is Faster Than You Think: How Converging Technologies Are Transforming Business, Industries, and Our Lives by Peter H. Diamandis, Steven Kotler
Ada Lovelace, additive manufacturing, Airbnb, Albert Einstein, Amazon Mechanical Turk, augmented reality, autonomous vehicles, barriers to entry, bitcoin, blockchain, blood diamonds, Burning Man, call centre, cashless society, Charles Lindbergh, Clayton Christensen, clean water, cloud computing, Colonization of Mars, computer vision, creative destruction, crowdsourcing, cryptocurrency, Dean Kamen, delayed gratification, dematerialisation, digital twin, disruptive innovation, Edward Glaeser, Edward Lloyd's coffeehouse, Elon Musk, en.wikipedia.org, epigenetics, Erik Brynjolfsson, Ethereum, ethereum blockchain, experimental economics, food miles, game design, Geoffrey West, Santa Fe Institute, gig economy, Google X / Alphabet X, gravity well, hive mind, housing crisis, Hyperloop, indoor plumbing, industrial robot, informal economy, Intergovernmental Panel on Climate Change (IPCC), Internet of things, invention of the telegraph, Isaac Newton, Jaron Lanier, Jeff Bezos, job automation, Joseph Schumpeter, Kevin Kelly, Kickstarter, late fees, Law of Accelerating Returns, life extension, lifelogging, loss aversion, Lyft, M-Pesa, Mary Lou Jepsen, mass immigration, megacity, meta analysis, meta-analysis, microbiome, mobile money, multiplanetary species, Narrative Science, natural language processing, Network effects, new economy, New Urbanism, Oculus Rift, out of africa, packet switching, peer-to-peer lending, Peter H. Diamandis: Planetary Resources, Peter Thiel, QR code, RAND corporation, Ray Kurzweil, RFID, Richard Feynman, Richard Florida, ride hailing / ride sharing, risk tolerance, Satoshi Nakamoto, Second Machine Age, self-driving car, Silicon Valley, Skype, smart cities, smart contracts, smart grid, Snapchat, sovereign wealth fund, special economic zone, stealth mode startup, stem cell, Stephen Hawking, Steve Jobs, Steven Pinker, Stewart Brand, supercomputer in your pocket, supply-chain management, technoutopianism, Tesla Model S, Tim Cook: Apple, transaction costs, Uber and Lyft, uber lyft, unbanked and underbanked, underbanked, urban planning, Watson beat the top human players on Jeopardy!, We wanted flying cars, instead we got 140 characters, X Prize
Nor do they account for ChargePoint, a company that has raised over $500 million to build 2.5 million charging ports by 2025, half in Europe, half in the US. If successful, ChargePoint could put charge port availability on par with gas pump availability. Which brings us to another of the World Economic Forum’s top five dangers: extreme weather. In 2017, the average American home ran on 29.5 kilowatt-hours a day, while the average Tesla Model-S has an 85 kilowatt-hour battery pack. In a pinch, this means a fully charged Model-S could power three American homes for almost twenty-four hours. So if a hurricane takes out South Florida, a fleet of Teslas can be the emergency backup system. With an AI-driven smart grid, electric vehicles become nodes in a national network, a mobile fleet of backup generators to prepare for the extreme weather to come.
See also their commitment to build 2.5 million charging ports by 2025, here: https://www.chargepoint.com/about/news/chargepoint-makes-landmark-commitment-future-mobility-pledge-25-million-places-charge/. 29.5 kilowatt-hours a day: According to the US Energy Information Administration, the average US house consumes 867 kilowatt-hours per month, or about 29 kilowatt-hours per day. See: https://www.eia.gov/tools/faqs/faq.php?id=97&t=3. Tesla Model-S: See: https://www.tesla.com/models. Biodiversity and Ecosystem Services coral reefs are already in jeopardy: Laura Parker, “Coral Reefs Could Be Gone in 30 Years,” National Geographic, June 23, 2017. See: https://www.nationalgeographic.com/news/2017/06/coral-reef-bleaching-global-warming-unesco-sites/. 25 percent of the world’s biodiversity: According to the World Wildlife Fund: https://wwf.panda.org/our_work/oceans/coasts/coral_reefs/. 500 million people: Melissa Gaskill, “The Current State of Coral Reefs,” PBS, July 15, 2019.
Zero to One: Notes on Startups, or How to Build the Future by Peter Thiel, Blake Masters
Airbnb, Albert Einstein, Andrew Wiles, Andy Kessler, Berlin Wall, cleantech, cloud computing, crony capitalism, discounted cash flows, diversified portfolio, don't be evil, Elon Musk, eurozone crisis, income inequality, Jeff Bezos, Lean Startup, life extension, lone genius, Long Term Capital Management, Lyft, Marc Andreessen, Mark Zuckerberg, minimum viable product, Nate Silver, Network effects, new economy, paypal mafia, Peter Thiel, pets.com, profit motive, Ralph Waldo Emerson, Ray Kurzweil, self-driving car, shareholder value, Silicon Valley, Silicon Valley startup, Singularitarianism, software is eating the world, Steve Jobs, strong AI, Ted Kaczynski, Tesla Model S, uber lyft, Vilfredo Pareto, working poor
Tesla’s technology is so good that other car companies rely on it: Daimler uses Tesla’s battery packs; Mercedes-Benz uses a Tesla powertrain; Toyota uses a Tesla motor. General Motors has even created a task force to track Tesla’s next moves. But Tesla’s greatest technological achievement isn’t any single part or component, but rather its ability to integrate many components into one superior product. The Tesla Model S sedan, elegantly designed from end to end, is more than the sum of its parts: Consumer Reports rated it higher than any other car ever reviewed, and both Motor Trend and Automobile magazines named it their 2013 Car of the Year. TIMING. In 2009, it was easy to think that the government would continue to support cleantech: “green jobs” were a political priority, federal funds were already earmarked, and Congress even seemed likely to pass cap-and-trade legislation.
Taming the Sun: Innovations to Harness Solar Energy and Power the Planet by Varun Sivaram
addicted to oil, Albert Einstein, asset-backed security, autonomous vehicles, bitcoin, blockchain, carbon footprint, cleantech, collateralized debt obligation, Colonization of Mars, decarbonisation, demand response, disruptive innovation, distributed generation, diversified portfolio, Donald Trump, Elon Musk, energy security, energy transition, financial innovation, fixed income, global supply chain, global village, Google Earth, hive mind, hydrogen economy, index fund, Indoor air pollution, Intergovernmental Panel on Climate Change (IPCC), Internet of things, M-Pesa, market clearing, market design, mass immigration, megacity, mobile money, Negawatt, off grid, oil shock, peer-to-peer lending, performance metric, renewable energy transition, Richard Feynman, ride hailing / ride sharing, Ronald Reagan, Silicon Valley, Silicon Valley startup, smart grid, smart meter, sovereign wealth fund, Tesla Model S, time value of money, undersea cable, wikimedia commons
One prominent investor even called the deal “shameful.”1 The dominant narrative was that SolarCity, whose business model required fronting huge sums of capital to finance rooftop solar systems that homeowners would pay back over time, had been hemorrhaging cash and needed a bailout. Already, SpaceX—which Musk also helms—had lent hundreds of millions of dollars to SolarCity, which was run by Musk’s cousins, Lyndon and Peter Rive. Now, analysts fumed, SolarCity’s sale to Tesla would constitute a bailout within the family. On top of this, Tesla was facing production delays for its new Model 3 mass-market car, and an autonomously piloted Tesla Model S had just crashed, killing its driver. How could this be the right time to merge with an embattled firm from another industry? Musk actually agreed with his critics that the timing wasn’t ideal. But wryly, he quipped that the merger “may even be a little late.”2 As obviously disgraceful as the proposed sale was to the pundits, combining the two companies had been just as obviously a no-brainer for Musk for over a decade.
., 200 U.S. funding for, 252–253 Technology companies, as solar supermajors, 109–110 Technology costs, 138 Technology demonstrations, 264–265 Technology lock-in, 164–167, 231, 289g Telecom firms, as anchor clients, 130 Temperature, in CSP systems, 185–187, 190 TenneT, 55 Tesla, Inc., 100, 162, 169, 215, 223, 226, 229, 243, 258 Tesla, Nikola, 131, 202, 217 Tesla Model 3, 170, 221, 222, 229 Tesla Model S, 169, 221 Tesla Motors, 221–223 Texas, 71, 72f, 241, 269 Thermalization losses, 151 Thermal storage, for CSP systems, 185 Thin film technologies, 38–40, 163, 283g Three Gorges Corporation, 108 Tidal energy, 60 Tin-based perovskites, 156 Titanium dioxide, 177 Tokyo University, 144 Top-down grids, 209 Total (company), 35 Total solar eclipse, 55–56 Toyota Mirai, 170, 172, 173, 180, 191 Toyota Motor Corporation, 169–170, 172, 191 Toyota Prius, 169, 170 Track Two, REV program, 208–209 Trade barriers, 24–25, 135–136, 273–274 Transmission, 287g Transmission lines AC, 202, 203, 203f for cross-national grids, 201–202 DC (see DC transmission lines) superconducting, 204 for supergrids, 205–207 virtual, 215–216 Transportation sector electric vehicles in, 224 fossil fuels in, 60, 171 and future of solar power, 5 linking power sector with, 82, 226, 243–244 Trembath, Alex, 119 Trump, Donald J., and administration, 24, 65, 194, 250, 254, 255, 269, 270, 272, 273–274 Tuvalu, 6 Twin Creek Technologies, 39 Two-way communications networks, 214 Uganda, 124 Ultra-high-voltage-direct current (UHVDC) transmission lines, 196, 204–205 Underground thermal storage, 233 United Kingdom, 97, 211, 240 United Nations, 6, 33–34 United States.
Startupland: How Three Guys Risked Everything to Turn an Idea Into a Global Business by Mikkel Svane, Carlye Adler
Airbnb, Ben Horowitz, Burning Man, business process, call centre, Chuck Templeton: OpenTable:, cloud computing, credit crunch, David Heinemeier Hansson, Elon Musk, housing crisis, Jeff Bezos, Kickstarter, Menlo Park, remote working, Ruby on Rails, Sand Hill Road, Silicon Valley, Silicon Valley startup, Skype, software as a service, South of Market, San Francisco, Steve Jobs, subscription business, Tesla Model S, web application
Some Final Thoughts on How We Changed In telling our story, I have skipped over huge parts of how we built this company. Most of this book focuses on our experiences in the early startup days, and how we got out of the garage—or loft. Building a global company and all that that entailed is for another book. For now, I wanted to focus on us and what happened now after we chased—and caught—the American Dream. I traded in my Volvo; I was customer No. 319 for the Tesla Model S and so incredibly proud about not only buying a car made in California, but also buying a car that was the first model in a new generation of cars, built by a startup. Morten, too, finally bought a nice car; he had said this was the first thing he was going to do in the United States, where, unlike Denmark, there was not an enormous tax on cars (to discourage car-dependency and incent people to ride bicycles).
The Driver in the Driverless Car: How Our Technology Choices Will Create the Future by Vivek Wadhwa, Alex Salkever
23andMe, 3D printing, Airbnb, artificial general intelligence, augmented reality, autonomous vehicles, barriers to entry, Bernie Sanders, bitcoin, blockchain, clean water, correlation does not imply causation, distributed ledger, Donald Trump, double helix, Elon Musk, en.wikipedia.org, epigenetics, Erik Brynjolfsson, Google bus, Hyperloop, income inequality, Internet of things, job automation, Kevin Kelly, Khan Academy, Kickstarter, Law of Accelerating Returns, license plate recognition, life extension, longitudinal study, Lyft, M-Pesa, Menlo Park, microbiome, mobile money, new economy, personalized medicine, phenotype, precision agriculture, RAND corporation, Ray Kurzweil, recommendation engine, Ronald Reagan, Second Machine Age, self-driving car, Silicon Valley, Skype, smart grid, stem cell, Stephen Hawking, Steve Wozniak, Stuxnet, supercomputer in your pocket, Tesla Model S, The Future of Employment, Thomas Davenport, Travis Kalanick, Turing test, Uber and Lyft, Uber for X, uber lyft, uranium enrichment, Watson beat the top human players on Jeopardy!, zero day
The noted science-fiction writer William Gibson, a favorite of hackers and techies, said in a 1999 radio interview (though apparently not for the first time): “The future is already here; it’s just not very evenly distributed.”1 Nearly two decades later—though the potential now exists for most of us, including the very poor, to participate in informed decision making as to its distribution and even as to bans on use of certain technologies—Gibson’s observation remains valid. I make my living thinking about the future and discussing it with others, and am privileged to live in what to most is the future. I drive an amazing Tesla Model S electric vehicle. My house, in Menlo Park, close to Stanford University, is a Passive House, extracting virtually no electricity from the grid and expending minimal energy on heating or cooling. My iPhone is cradled with electronic sensors that I can place against my chest to generate a detailed electrocardiogram to send to my doctors, from anywhere on Earth.* Many of the entrepreneurs and researchers I talk with about breakthrough technologies, such as artificial intelligence and synthetic biology, are building a better future at a breakneck pace.
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
The story was impressive back then, but, upon reflection, it only demonstrated that the charismatic Lutz could make a good case on what was the most advanced communication tool available in 2005. Consider how the newer tools of sensors, data, location and mobility have changed the game, just for auto executives, not to mention the entire automotive industry. In February 2013, John M. Broder, a respected New York Times reporter often assigned to the White House, took a Tesla Model S, an elegant electric sedan, for a test drive from Washington, D.C., to New England. He had planned to complete his ride in Boston but, instead, it was ingloriously aborted in Connecticut where the Tesla ran out of power and was towed away on the back of a truck. He photographed the power-sapped Tesla and reported having had a very bad experience in his Times review. Like Lutz, Elon Musk, Tesla founder and CEO, chose to blog his side of the story.
Hello World: Being Human in the Age of Algorithms by Hannah Fry
23andMe, 3D printing, Air France Flight 447, Airbnb, airport security, augmented reality, autonomous vehicles, Brixton riot, chief data officer, computer vision, crowdsourcing, DARPA: Urban Challenge, Douglas Hofstadter, Elon Musk, Firefox, Google Chrome, Gödel, Escher, Bach, Ignaz Semmelweis: hand washing, John Markoff, Mark Zuckerberg, meta analysis, meta-analysis, pattern recognition, Peter Thiel, RAND corporation, ransomware, recommendation engine, ride hailing / ride sharing, selection bias, self-driving car, Shai Danziger, Silicon Valley, Silicon Valley startup, Snapchat, speech recognition, Stanislav Petrov, statistical model, Stephen Hawking, Steven Levy, Tesla Model S, The Wisdom of Crowds, Thomas Bayes, Watson beat the top human players on Jeopardy!, web of trust, William Langewiesche
Julia Pyper, ‘Self-driving cars could cut greenhouse gas pollution’, Scientific American, 15 Sept. 2014, https://www.scientificamerican.com/article/self-driving-cars-could-cut-greenhouse-gas-pollution/. 63. Raphael E. Stern et al., ‘Dissipation of stop-and-go waves via control of autonomous vehicles: field experiments’, arXiv: 1705.01693v1, 4 May 2017, https://arxiv.org/abs/1705.01693. 64. SomeJoe7777, ‘Tesla Model S forward collision warning saves the day’, YouTube, 19 Oct. 2016, https://www.youtube.com/watch?v=SnRp56XjV_M. 65. https://www.tesla.com/en_GB/blog/all-tesla-cars-being-produced-now-have-full-self-driving-hardware. 66. Jordan Golson and Dieter Bohn, ‘All new Tesla cars now have hardware for “full self-driving capabilities”: but some safety features will be disabled initially’, The Verge, 19 Oct. 2016, https://www.theverge.com/2016/10/19/13340938/tesla-autopilot-update-model-3-elon-musk-update. 67.
Lab Rats: How Silicon Valley Made Work Miserable for the Rest of Us by Dan Lyons
Airbnb, Amazon Web Services, Apple II, augmented reality, autonomous vehicles, basic income, bitcoin, blockchain, business process, call centre, Clayton Christensen, clean water, collective bargaining, corporate governance, corporate social responsibility, creative destruction, cryptocurrency, David Heinemeier Hansson, Donald Trump, Elon Musk, Ethereum, ethereum blockchain, full employment, future of work, gig economy, Gordon Gekko, greed is good, hiring and firing, housing crisis, income inequality, informal economy, Jeff Bezos, job automation, job satisfaction, job-hopping, John Gruber, Joseph Schumpeter, Kevin Kelly, knowledge worker, Lean Startup, loose coupling, Lyft, Marc Andreessen, Mark Zuckerberg, McMansion, Menlo Park, Milgram experiment, minimum viable product, Mitch Kapor, move fast and break things, move fast and break things, new economy, Panopticon Jeremy Bentham, Paul Graham, paypal mafia, Peter Thiel, plutocrats, Plutocrats, precariat, RAND corporation, remote working, RFID, ride hailing / ride sharing, Ronald Reagan, Rubik’s Cube, Ruby on Rails, Sam Altman, Sand Hill Road, self-driving car, shareholder value, Silicon Valley, Silicon Valley startup, six sigma, Skype, Social Responsibility of Business Is to Increase Its Profits, software is eating the world, Stanford prison experiment, stem cell, Steve Jobs, Steve Wozniak, Stewart Brand, TaskRabbit, telemarketer, Tesla Model S, Thomas Davenport, Tony Hsieh, Toyota Production System, traveling salesman, Travis Kalanick, tulip mania, Uber and Lyft, Uber for X, uber lyft, universal basic income, web application, Whole Earth Catalog, Y Combinator, young professional
If they didn’t comply, the cops could seize their tents and belongings. The problem was that San Francisco had only nineteen hundred shelter beds, but four thousand people were living on the streets. Nevertheless, the proposition passed. In 2017, the cops started sweeping people off the streets. Ayn Rand and the PayPal Mafia One day in May 2018, the police in Laguna Beach, California, published a set of photographs from a car accident: a Tesla Model S sedan, operating in autopilot mode, had crossed the center line and smashed into a parked police SUV. The photos of the Laguna Beach crash seemed like a perfect metaphor for what the new Masters of the Universe are doing to society: turning loose a bunch of half-baked ideas to careen around and smash into things, all in the name of progress. Their victims include the world at large, but also their employees.
Blitzscaling: The Lightning-Fast Path to Building Massively Valuable Companies by Reid Hoffman, Chris Yeh
activist fund / activist shareholder / activist investor, Airbnb, Amazon Web Services, autonomous vehicles, bitcoin, blockchain, Bob Noyce, business intelligence, Chuck Templeton: OpenTable:, cloud computing, crowdsourcing, cryptocurrency, Daniel Kahneman / Amos Tversky, database schema, discounted cash flows, Elon Musk, Firefox, forensic accounting, George Gilder, global pandemic, Google Hangouts, Google X / Alphabet X, hydraulic fracturing, Hyperloop, inventory management, Isaac Newton, Jeff Bezos, Joi Ito, Khan Academy, late fees, Lean Startup, Lyft, M-Pesa, Marc Andreessen, margin call, Mark Zuckerberg, minimum viable product, move fast and break things, move fast and break things, Network effects, Oculus Rift, oil shale / tar sands, Paul Buchheit, Paul Graham, Peter Thiel, pre–internet, recommendation engine, ride hailing / ride sharing, Sam Altman, Sand Hill Road, Saturday Night Live, self-driving car, shareholder value, sharing economy, Silicon Valley, Silicon Valley startup, Skype, smart grid, social graph, software as a service, software is eating the world, speech recognition, stem cell, Steve Jobs, subscription business, Tesla Model S, thinkpad, transaction costs, transport as a service, Travis Kalanick, Uber for X, uber lyft, web application, winner-take-all economy, Y Combinator, yellow journalism
When I offer this advice, I sometimes hear the objection “That’s not the way Steve Jobs did it.” Well, hold on a minute. First of all, contrary to the popular narrative, not all of Steve’s products were perfect from the start. The original Mac didn’t come with a hard drive. The original iPhone didn’t come with an App Store. It is true that we can point to a number of entrepreneurs who did launch a great product at the very beginning. For example, when Elon Musk launched the Tesla Model S, it immediately became the highest-rated car on the road, being named Motor Trend Car of the Year in its debut year, and achieving a higher Consumer Reports rating than any other car that organization had ever tested. But to do this, you have to believe that you can nail the product/market fit of a new market before you launch, and invest substantial amounts of capital based solely on that confidence.
Artificial Unintelligence: How Computers Misunderstand the World by Meredith Broussard
1960s counterculture, A Declaration of the Independence of Cyberspace, Ada Lovelace, AI winter, Airbnb, Amazon Web Services, autonomous vehicles, availability heuristic, barriers to entry, Bernie Sanders, bitcoin, Buckminster Fuller, Chris Urmson, Clayton Christensen, cloud computing, cognitive bias, complexity theory, computer vision, crowdsourcing, Danny Hillis, DARPA: Urban Challenge, digital map, disruptive innovation, Donald Trump, Douglas Engelbart, easy for humans, difficult for computers, Electric Kool-Aid Acid Test, Elon Musk, Firefox, gig economy, global supply chain, Google Glasses, Google X / Alphabet X, Hacker Ethic, Jaron Lanier, Jeff Bezos, John von Neumann, Joi Ito, Joseph-Marie Jacquard, life extension, Lyft, Mark Zuckerberg, mass incarceration, Minecraft, minimum viable product, Mother of all demos, move fast and break things, move fast and break things, Nate Silver, natural language processing, PageRank, payday loans, paypal mafia, performance metric, Peter Thiel, price discrimination, Ray Kurzweil, ride hailing / ride sharing, Ross Ulbricht, Saturday Night Live, school choice, self-driving car, Silicon Valley, speech recognition, statistical model, Steve Jobs, Steven Levy, Stewart Brand, Tesla Model S, the High Line, The Signal and the Noise by Nate Silver, theory of mind, Travis Kalanick, Turing test, Uber for X, uber lyft, Watson beat the top human players on Jeopardy!, Whole Earth Catalog, women in the workforce
The showroom is in the Meatpacking District, under the High Line, on West Twenty-Fifth Street. It’s surrounded by art galleries that used to be auto body shops. Across the street was a wrought-iron outline of a woman. Someone had yarn-bombed it, covering the metal. A peach-colored crochet bikini hung limply on the frame. We walked in and saw a red Model S sedan. Next to it on the floor was a miniature version, in the identical deep crimson. It was a Radio Flyer version of a Tesla Model S. It was miniature like a Barbie Jeep or a mini John Deere tractor or a Power Wheels car—but it was a Tesla. I was enchanted. We went out on a test drive in the Model X with a salesperson named Ryan. The X doors open like falcon wings: they furl and unfurl. My son walked up to the car. Ryan beeped the remote, which was shaped like a small Tesla, to open the rear passenger side door. The door opened slowly, halfway.
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
Hotz rigged up a 2016 Acura ILX with the usual equipment: lidar, a camera, and a glove compartment packed with a computer, a networking switch, and GPS sensors. According to Hotz, his driverless car worked well. The tension started to build when Hotz boasted that with just a few more months of improvements and practice, the software guiding his do-it-yourself (DIY) Acura could drive better than the autodrive module of a Tesla Model S. Tesla’s CEO, Elon Musk, was not amused by Hotz’s public challenge. In a response posted on Tesla’s website, Musk deflated Hotz’s claims, pointing out that the true problem of autonomy: getting a machine learning system to be 99% correct is relatively easy, but getting it to be 99.9999% correct, which is where it ultimately needs to be, is vastly more difficult. One can see this with the annual machine vision competitions, where the computer will properly identify something as a dog more than 99% of the time, but might occasionally call it a potted plant.
A Fine Mess by T. R. Reid
Affordable Care Act / Obamacare, Bernie Sanders, Capital in the Twenty-First Century by Thomas Piketty, carried interest, centre right, clean water, Donald Trump, Double Irish / Dutch Sandwich, game design, Gini coefficient, High speed trading, Home mortgage interest deduction, Honoré de Balzac, income inequality, industrial robot, land value tax, loss aversion, mortgage tax deduction, obamacare, Occupy movement, offshore financial centre, oil shock, plutocrats, Plutocrats, race to the bottom, Ronald Reagan, seigniorage, Silicon Valley, Skype, Snapchat, sovereign wealth fund, Tesla Model S, The Wealth of Nations by Adam Smith, Tim Cook: Apple, Tobin tax, We are the 99%, WikiLeaks
In the Energy Improvement and Extension Act of 2008, Congress created a lucrative tax break—it’s Section 30(D) of the Internal Revenue Code—for people who can afford to buy electric or plug-in hybrid cars. It’s formally known as the “new qualified plug-in electric drive motor vehicle credit.” It says anybody buying a qualified plug-in electric car—the list of approved vehicles includes sleek, sporty cars like the $105,000 Tesla Model S P85D and the $138,000 BMW i8—can subtract up to $7,500 from the income tax he or she owes Uncle Sam. There are some less exotic cars that qualify—and get a smaller tax credit—but even those models, for the most part, are priced well beyond the reach of an American family making the median income. In 2016, the IRS estimates, this tax credit reduced government revenues by about $740 million—money that would have come to the Treasury if the credit didn’t exist.
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
You press here and the doors unlock, press here and the rear opens, and press here to open the frunk.” I was so glad I volunteered my car to give people test drives. I had no idea at the revolution in automotive that I was witnessing. So much innovation. So many hardworking, proud employees. I hope this book helps you start something that brings to life a business that serves to design a product as awesome and important as the Tesla Model S car. Entrepreneurship is often thankless, and when an entrepreneur fails it can be tragic. But maybe I can help you think about your journey in a new way. To better help you think about what a Startup Hero does and the impact he or she creates, whether in a success or a failure. I provide you here with a story. The Tesla Story Ian Wright came to pitch his new business, Wright Motors. We met at DFJ’s offices on Sand Hill Road in Menlo Park, California.
Augmented: Life in the Smart Lane by Brett King
23andMe, 3D printing, additive manufacturing, Affordable Care Act / Obamacare, agricultural Revolution, Airbnb, Albert Einstein, Amazon Web Services, Any sufficiently advanced technology is indistinguishable from magic, Apple II, artificial general intelligence, asset allocation, augmented reality, autonomous vehicles, barriers to entry, bitcoin, blockchain, business intelligence, business process, call centre, chief data officer, Chris Urmson, Clayton Christensen, clean water, congestion charging, crowdsourcing, cryptocurrency, deskilling, different worldview, disruptive innovation, distributed generation, distributed ledger, double helix, drone strike, Elon Musk, Erik Brynjolfsson, Fellow of the Royal Society, fiat currency, financial exclusion, Flash crash, Flynn Effect, future of work, gig economy, Google Glasses, Google X / Alphabet X, Hans Lippershey, Hyperloop, income inequality, industrial robot, information asymmetry, Internet of things, invention of movable type, invention of the printing press, invention of the telephone, invention of the wheel, James Dyson, Jeff Bezos, job automation, job-hopping, John Markoff, John von Neumann, Kevin Kelly, Kickstarter, Kodak vs Instagram, Leonard Kleinrock, lifelogging, low earth orbit, low skilled workers, Lyft, M-Pesa, Mark Zuckerberg, Marshall McLuhan, megacity, Metcalfe’s law, Minecraft, mobile money, money market fund, more computing power than Apollo, Network effects, new economy, obamacare, Occupy movement, Oculus Rift, off grid, packet switching, pattern recognition, peer-to-peer, Ray Kurzweil, RFID, ride hailing / ride sharing, Robert Metcalfe, Satoshi Nakamoto, Second Machine Age, selective serotonin reuptake inhibitor (SSRI), self-driving car, sharing economy, Shoshana Zuboff, Silicon Valley, Silicon Valley startup, Skype, smart cities, smart grid, smart transportation, Snapchat, social graph, software as a service, speech recognition, statistical model, stem cell, Stephen Hawking, Steve Jobs, Steve Wozniak, strong AI, TaskRabbit, technological singularity, telemarketer, telepresence, telepresence robot, Tesla Model S, The Future of Employment, Tim Cook: Apple, trade route, Travis Kalanick, Turing complete, Turing test, uber lyft, undersea cable, urban sprawl, V2 rocket, Watson beat the top human players on Jeopardy!, white picket fence, WikiLeaks
The same smartphone is 30 to 40 times more powerful than all of the computers that Bank of America had in 1985.2 An Xbox 360 has about 100 times more processing power than the space shuttle’s first flight computer. If you wear a smartwatch on your wrist, it likely has more processing power than a desktop computer dating back 15 years. The Raspberry Pi Zero computer, which costs just US$5 today, has the equivalent processing capability of the iPad 2 released in 2011. Vehicles like the Tesla Model S carry multiple central processing units (CPUs) and graphics processing units (GPUs), creating a combined computing platform greater than that of a 747 airliner3. Within 30 years, you’ll be carrying around in your pocket or embedded in your clothes, home and even within your body computing technology that will be more powerful than the most powerful supercomputer built today, and probably even more powerful than all of the computers connected to the Internet in the year 1995.4 Networks and Interwebs The early days of the Internet began as a project known as the Advanced Research Projects Agency Network (ARPANET), led by the Advanced Research Projects Agency (ARPA, later Defense Advanced Research Projects Agency, DARPA) and the academic community.
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
Musk’s success is down to flair and lateral thinking. When he started Tesla, most electric car manufacturers were building small autos for eco-warriors (who’d rather not be seen on wheels at all), or making wolves in sheep’s clothing – SUVs with large petrol and small ancillary electric motors – in order to take advantage of grants for green vehicles. Musk instead went for comfort and performance. The Tesla Model S does 0 to 60 mph in 4.2 seconds, tops out at 130 mph, and has more boot room and better safety standards than a Volvo. Musk’s ambition is to retire to Mars. His counterproposal to the CHSR is the ‘Hyperloop’, a part pneumatic, part electromagnetic and part solar-powered system, which he claims could fly pods of commuters through elevated steel tubes between San Francisco and LA in about half an hour for a tenth of the price of building its rival.
Creative Intelligence: Harnessing the Power to Create, Connect, and Inspire by Bruce Nussbaum
3D printing, Airbnb, Albert Einstein, Berlin Wall, Black Swan, Chuck Templeton: OpenTable:, clean water, collapse of Lehman Brothers, creative destruction, Credit Default Swap, crony capitalism, crowdsourcing, Danny Hillis, declining real wages, demographic dividend, disruptive innovation, Elon Musk, en.wikipedia.org, Eugene Fama: efficient market hypothesis, Fall of the Berlin Wall, follow your passion, game design, housing crisis, Hyman Minsky, industrial robot, invisible hand, James Dyson, Jane Jacobs, Jeff Bezos, jimmy wales, John Gruber, John Markoff, Joseph Schumpeter, Kickstarter, lone genius, longitudinal study, manufacturing employment, Marc Andreessen, Mark Zuckerberg, Martin Wolf, new economy, Paul Graham, Peter Thiel, QR code, race to the bottom, reshoring, Richard Florida, Ronald Reagan, shareholder value, Silicon Valley, Silicon Valley ideology, Silicon Valley startup, six sigma, Skype, Steve Ballmer, Steve Jobs, Steve Wozniak, supply-chain management, Tesla Model S, The Chicago School, The Design of Experiments, the High Line, The Myth of the Rational Market, thinkpad, Tim Cook: Apple, too big to fail, tulip mania, We are the 99%, Y Combinator, young professional, Zipcar
CHAPTER 6 147 It was 3:44 in the morning: “SpaceX Launch—NASA,” http://www.nasa.gov/exploration/ commercial/cargo/spacex_index.html, accessed September 7, 2012. 147 The Dragon capsule was free: Clara Moskowitz, “SpaceX Launches Private Capsule on Historic Trip to Space Station,” May 22, 2012; http://www.space.com/15805-spacex-private -capsule-launches-space-station.html, accessed September 7, 2012. 147 Just days after the launch: “Space X,” accessed September 7, 2012, http://www.nasa.gov/exploration/ commercial/cargo/spacex_index.html. 148 This flight was, after all: “Elon Musk, CEO and Chief Designer,” http://www.spacex.com/elon-musk.php, accessed September 7, 2012. 148 Many know Elon Musk: Ibid. 148 pretty much at the nadir: Encyclopedia of World Biography, http://www.notablebiographies.com/news/ Li-Ou/Musk-Elon.html#b, accessed September 7, 2012. 148 By 2002, eBay realized: http://news.cnet.com/2100-1017-941964.html, accessed September 7, 2012. 148 In 2002, Musk became the CEO: Margaret Kane, “eBay picks up PayPal for $1.5 Billion,” CNET News, July 8, 2002; http://www.notablebiographies.com/news/ Li-Ou/Musk-Elon.html#b, accessed September 7, 2012. 149 A year later he founded a second: Will Oremus, “Tesla’s New Electric Car Is Practical and Affordable, as Long as You’re Rich,” Slate, June 20, 2012, accessed September 7, 2012, http://www.slate.com/blogs/future_tense/ 2012/06/20/tesla_model_s_new_electric_car_is _practical_affordable_for_the_rich.html. 149 But Musk said in his celebratory: Ibid. 149 In 2007, just before the biggest: Gabriel Sherman, “The End of Wall Street as They Knew It,” New York magazine, February 5, 2012, accessed September 7, 2012, http://nymag.com/news/ features/wall-street-2012-2/index3.html. 149 Historically, banks never accounted: Gillian Tett, Financial Times US editor and author of Fool’s Gold, shared this information at a March 10, 2010, presentation at Columbia University; Sherman, “The End of Wall Street as They Knew It.” 150 the majority of business school graduates: personal interview with Roger Martin; Rakesh Khurana, From Higher Aims to Hired Hands: The Social Transformation of American Business Schools and the Unfulfilled Promise of Management as a Profession (Princeton, NJ: Princeton University Press, 2010), 328–31, 349. 150 But by the end of the century: Ibid. 150 Top bankers received astonishing: Linda Anderson, “MBA Careers: Financial Services—A Breadth of Opportunity,” Financial Times, January 29, 2007, accessed September 7, 2012, http://www.ft.com/intl/cms/s/2/ 3baa68a4-ad5a-11db8709-0000779e2340,dwp_uuid=991cbd66-9258-11da -977b0000779e2340.html#axzz22nEQOvia. 150 When BusinessWeek ran: January 31, 2000, issue, cover story by Michael Mandel. 151 An inequality gap: Sam Pizzigati, “Happy Days Here Again, 21st Century–Style,” Institute for Policy Studies, March 13, 2012, accessed September 7, 2012, http://www.ips-dc.org/blog/ happy_days_here_again_21st_ century-style. 151 Alice Waters’s groundbreaking organic: “About Chez Panisse,” http://en.wikipedia.org/ wiki/Chez_Panisse, accessed September 7, 2012. 152 Just as important, Gen Y: I joined Parsons in 2008, and I am indebted to my Parsons students for these and other insights into Gen Y culture. 152 You can pay about a hundred bucks: TechShop website, http://www.techshop.ws/, accessed September 7, 2012. 152 Make magazine, launched in 2005: http://makezine.com/magazine/, accessed September 7, 2012. 153 The Faires celebrate “arts, crafts”: http://makerfaire.com/newyork/2012/index.html, accessed September 7, 2012. 153 Generation Y, on the other hand: interviews with Kelsey Meuse in my classroom and after graduation. 154 Bombarded with as many as five thousand: Louise Story, “Anywhere the Eye Can See, It’s Likely to See an Ad,” New York Times, January 15, 2007, accessed September 5, 2012, http://www.nytimes.com/2007/01/15/business/ media/15everywhere.html?
Radical Technologies: The Design of Everyday Life by Adam Greenfield
3D printing, Airbnb, augmented reality, autonomous vehicles, bank run, barriers to entry, basic income, bitcoin, blockchain, business intelligence, business process, call centre, cellular automata, centralized clearinghouse, centre right, Chuck Templeton: OpenTable:, cloud computing, collective bargaining, combinatorial explosion, Computer Numeric Control, computer vision, Conway's Game of Life, cryptocurrency, David Graeber, dematerialisation, digital map, disruptive innovation, distributed ledger, drone strike, Elon Musk, Ethereum, ethereum blockchain, facts on the ground, fiat currency, global supply chain, global village, Google Glasses, IBM and the Holocaust, industrial robot, informal economy, information retrieval, Internet of things, James Watt: steam engine, Jane Jacobs, Jeff Bezos, job automation, John Conway, John Markoff, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, John von Neumann, joint-stock company, Kevin Kelly, Kickstarter, late capitalism, license plate recognition, lifelogging, M-Pesa, Mark Zuckerberg, means of production, megacity, megastructure, minimum viable product, money: store of value / unit of account / medium of exchange, natural language processing, Network effects, New Urbanism, Occupy movement, Oculus Rift, Pareto efficiency, pattern recognition, Pearl River Delta, performance metric, Peter Eisenman, Peter Thiel, planetary scale, Ponzi scheme, post scarcity, post-work, RAND corporation, recommendation engine, RFID, rolodex, Satoshi Nakamoto, self-driving car, sentiment analysis, shareholder value, sharing economy, Silicon Valley, smart cities, smart contracts, social intelligence, sorting algorithm, special economic zone, speech recognition, stakhanovite, statistical model, stem cell, technoutopianism, Tesla Model S, the built environment, The Death and Life of Great American Cities, The Future of Employment, transaction costs, Uber for X, undersea cable, universal basic income, urban planning, urban sprawl, Whole Earth Review, WikiLeaks, women in the workforce
A single sentence buried halfway through the post delivers this disquieting explanation for the cause of the crash: “Neither Autopilot nor the driver noticed the white side of the tractor trailer against a brightly lit sky, so the brake was not applied.” Horrifyingly, Brown’s Model S never slowed, never even thought to slow, because it didn’t see anything it might have needed to slow for. This apparent whiteout gives us some insight into the way a Tesla Model S equipped with Autopilot perceives the world. In failing to detect the outline of a white truck against a white sky, this ensemble of sensors and interpretive algorithms foundered at the most basic task of vision, resolving a figure from its background. That it did so is unsurprising, though, when we consider what Autopilot was actually designed to do: keep the car centered on well-maintained freeways with clear, high-contrast lane markings.
Robot Rules: Regulating Artificial Intelligence by Jacob Turner
Ada Lovelace, Affordable Care Act / Obamacare, AI winter, algorithmic trading, artificial general intelligence, Asilomar, Asilomar Conference on Recombinant DNA, autonomous vehicles, Basel III, bitcoin, blockchain, brain emulation, Clapham omnibus, cognitive dissonance, corporate governance, corporate social responsibility, correlation does not imply causation, crowdsourcing, distributed ledger, don't be evil, Donald Trump, easy for humans, difficult for computers, effective altruism, Elon Musk, financial exclusion, financial innovation, friendly fire, future of work, hive mind, Internet of things, iterative process, job automation, John Markoff, John von Neumann, Loebner Prize, medical malpractice, Nate Silver, natural language processing, nudge unit, obamacare, off grid, pattern recognition, Peace of Westphalia, race to the bottom, Ray Kurzweil, Rodney Brooks, self-driving car, Silicon Valley, Stanislav Petrov, Stephen Hawking, Steve Wozniak, strong AI, technological singularity, Tesla Model S, The Coming Technological Singularity, The Future of Employment, The Signal and the Noise by Nate Silver, Turing test, Vernor Vinge
For instance, in early 2017, a UK police force announced it was piloting a program called the Harm Assessment Risk Tool to determine whether a suspect should be kept in custody or released on bail, based on various data.85 Self-driving cars are among the most well-known examples of AI. Advanced prototypes are now being tested on our roads by both technology companies like Google and Uber, but also traditional car makers such as Tesla and Toyota.86 AI has also caused its first fatalities: in 2017, a Tesla Model S driving on autopilot crashed into a truck, killing its passenger87; and in 2018, an Uber test car in autonomous mode hit and killed a woman in Arizona.88 They will not be the last. From AI which kills accidentally to AI which kills deliberately: several militaries are developing semi and even fully autonomous weapons systems. In the skies, AI drones are able to identify, track and potentially kill targets without the need for human input.
Tribe of Mentors: Short Life Advice From the Best in the World by Timothy Ferriss
23andMe, A Pattern Language, agricultural Revolution, Airbnb, Albert Einstein, Bayesian statistics, bitcoin, Black Swan, blockchain, Brownian motion, Buckminster Fuller, Clayton Christensen, cloud computing, cognitive dissonance, Colonization of Mars, corporate social responsibility, cryptocurrency, David Heinemeier Hansson, dematerialisation, don't be evil, double helix, effective altruism, Elon Musk, Ethereum, ethereum blockchain, family office, fear of failure, Gary Taubes, Geoffrey West, Santa Fe Institute, Google Hangouts, Gödel, Escher, Bach, haute couture, helicopter parent, high net worth, In Cold Blood by Truman Capote, income inequality, index fund, Jeff Bezos, job satisfaction, Johann Wolfgang von Goethe, Kevin Kelly, Lao Tzu, Law of Accelerating Returns, Lyft, Mahatma Gandhi, Marc Andreessen, Marshall McLuhan, Mikhail Gorbachev, minimum viable product, move fast and break things, move fast and break things, Naomi Klein, non-fiction novel, Peter Thiel, profit motive, Ralph Waldo Emerson, Ray Kurzweil, Saturday Night Live, side project, Silicon Valley, Skype, smart cities, smart contracts, Snapchat, Steve Jobs, Steven Pinker, Stewart Brand, TaskRabbit, Tesla Model S, too big to fail, Turing machine, uber lyft, web application, Whole Earth Catalog, Y Combinator
Steve has been honored as a “Young Global Leader” by the World Economic Forum, and as “Venture Capitalist of the Year” by Deloitte. Forbes has recognized Steve several times on the Midas List, and named him one of “Tech’s Best Venture Investors.” In 2016, President Barack Obama announced Steve’s position as a Presidential Ambassador for Global Entrepreneurship. He sits on the boards of SpaceX, Tesla, and other prominent companies. Steve was the world’s first owner of a Tesla Model S and the second owner of a Tesla Model X, following Elon Musk. What is the book (or books) you’ve given most as a gift, and why? Or what are one to three books that have greatly influenced your life? Gift #1: The Scientist in the Crib by Alison Gopnik. I give this to any fellow geek about to have their first child. Gift #2: Ready Player One by Ernest Cline. A gift to all of my Apple ][ programming buddies from high school and Dungeons & Dragons comrades.
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
Anytime a purchase takes place, it is recorded in a public ledger known as the “blockchain,” which ensures no duplicate transactions are permitted. Bitcoin is the world’s largest crypto currency, so-called because it uses “cryptography to regulate the creation and transfer of money, rather than relying on central authorities.” Bitcoin acceptance is growing rapidly, and it is possible to use Bitcoins to buy cupcakes in San Francisco, cocktails in Manhattan, and a Subway sandwich in Allentown. They can also be used to purchase a new Tesla Model S, to pay your DIRECTV bill, to sign up with OkCupid, or even to book a ticket on Richard Branson’s upcoming Virgin Galactic space flight. Because Bitcoin can be spent online without the need for a bank account and no ID is required to buy and sell the crypto currency, it provides a convenient system for anonymous, or more precisely pseudonymous, transactions, where a user’s true name is hidden.
Tools of Titans: The Tactics, Routines, and Habits of Billionaires, Icons, and World-Class Performers by Timothy Ferriss
Airbnb, Alexander Shulgin, artificial general intelligence, asset allocation, Atul Gawande, augmented reality, back-to-the-land, Ben Horowitz, Bernie Madoff, Bertrand Russell: In Praise of Idleness, Black Swan, blue-collar work, Boris Johnson, Buckminster Fuller, business process, Cal Newport, call centre, Charles Lindbergh, Checklist Manifesto, cognitive bias, cognitive dissonance, Colonization of Mars, Columbine, commoditize, correlation does not imply causation, David Brooks, David Graeber, diversification, diversified portfolio, Donald Trump, effective altruism, Elon Musk, fault tolerance, fear of failure, Firefox, follow your passion, future of work, Google X / Alphabet X, Howard Zinn, Hugh Fearnley-Whittingstall, Jeff Bezos, job satisfaction, Johann Wolfgang von Goethe, John Markoff, Kevin Kelly, Kickstarter, Lao Tzu, lateral thinking, life extension, lifelogging, Mahatma Gandhi, Marc Andreessen, Mark Zuckerberg, Mason jar, Menlo Park, Mikhail Gorbachev, MITM: man-in-the-middle, Nelson Mandela, Nicholas Carr, optical character recognition, PageRank, passive income, pattern recognition, Paul Graham, peer-to-peer, Peter H. Diamandis: Planetary Resources, Peter Singer: altruism, Peter Thiel, phenotype, PIHKAL and TIHKAL, post scarcity, post-work, premature optimization, QWERTY keyboard, Ralph Waldo Emerson, Ray Kurzweil, recommendation engine, rent-seeking, Richard Feynman, risk tolerance, Ronald Reagan, selection bias, sharing economy, side project, Silicon Valley, skunkworks, Skype, Snapchat, social graph, software as a service, software is eating the world, stem cell, Stephen Hawking, Steve Jobs, Stewart Brand, superintelligent machines, Tesla Model S, The Wisdom of Crowds, Thomas L Friedman, Wall-E, Washington Consensus, Whole Earth Catalog, Y Combinator, zero-sum game
The real-time nature of Twitter allows news stories to break faster than traditional media (even at the time, my startup, Digg). In allowing myself to feel these features through the eyes of the users, I can get a sense of the excitement around them. * * * This type of thinking can also be applied to larger industry trends. My colleague and friend David Prager was one of the first owners of the Tesla Model S. The second he received the car he graciously allowed all of his friends to test-drive it. What stuck with me most was not the car, but the sound it made. When he dropped me off, he slammed on the acceleration pedal and was whisked up a large San Francisco hill. All I heard was the electric swish/hum of acceleration. For me, this was like so many sci-fi movies I had seen growing up—it sounded like the future.