Mustafa Suleyman

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The Coming Wave: Technology, Power, and the Twenty-First Century's Greatest Dilemma by Mustafa Suleyman

"World Economic Forum" Davos, 23andMe, 3D printing, active measures, Ada Lovelace, additive manufacturing, agricultural Revolution, AI winter, air gap, Airbnb, Alan Greenspan, algorithmic bias, Alignment Problem, AlphaGo, Alvin Toffler, Amazon Web Services, Anthropocene, artificial general intelligence, Asilomar, Asilomar Conference on Recombinant DNA, ASML, autonomous vehicles, backpropagation, barriers to entry, basic income, benefit corporation, Big Tech, biodiversity loss, bioinformatics, Bletchley Park, Blitzscaling, Boston Dynamics, business process, business process outsourcing, call centre, Capital in the Twenty-First Century by Thomas Piketty, ChatGPT, choice architecture, circular economy, classic study, clean tech, cloud computing, commoditize, computer vision, coronavirus, corporate governance, correlation does not imply causation, COVID-19, creative destruction, CRISPR, critical race theory, crowdsourcing, cryptocurrency, cuban missile crisis, data science, decarbonisation, deep learning, deepfake, DeepMind, deindustrialization, dematerialisation, Demis Hassabis, disinformation, drone strike, drop ship, dual-use technology, Easter island, Edward Snowden, effective altruism, energy transition, epigenetics, Erik Brynjolfsson, Ernest Rutherford, Extinction Rebellion, facts on the ground, failed state, Fairchild Semiconductor, fear of failure, flying shuttle, Ford Model T, future of work, general purpose technology, Geoffrey Hinton, global pandemic, GPT-3, GPT-4, hallucination problem, hive mind, hype cycle, Intergovernmental Panel on Climate Change (IPCC), Internet Archive, Internet of things, invention of the wheel, job automation, John Maynard Keynes: technological unemployment, John von Neumann, Joi Ito, Joseph Schumpeter, Kickstarter, lab leak, large language model, Law of Accelerating Returns, Lewis Mumford, license plate recognition, lockdown, machine readable, Marc Andreessen, meta-analysis, microcredit, move 37, Mustafa Suleyman, mutually assured destruction, new economy, Nick Bostrom, Nikolai Kondratiev, off grid, OpenAI, paperclip maximiser, personalized medicine, Peter Thiel, planetary scale, plutocrats, precautionary principle, profit motive, prompt engineering, QAnon, quantum entanglement, ransomware, Ray Kurzweil, Recombinant DNA, Richard Feynman, Robert Gordon, Ronald Reagan, Sam Altman, Sand Hill Road, satellite internet, Silicon Valley, smart cities, South China Sea, space junk, SpaceX Starlink, stealth mode startup, stem cell, Stephen Fry, Steven Levy, strong AI, synthetic biology, tacit knowledge, tail risk, techlash, techno-determinism, technoutopianism, Ted Kaczynski, the long tail, The Rise and Fall of American Growth, Thomas Malthus, TikTok, TSMC, Turing test, Tyler Cowen, Tyler Cowen: Great Stagnation, universal basic income, uranium enrichment, warehouse robotics, William MacAskill, working-age population, world market for maybe five computers, zero day

Truly remarkable, ambitious, and impossible to ignore, this book is a persuasively argued tour de force from a leading industry expert that will shape your view of the future—and rewire your understanding of the present.” —Nouriel Roubini, professor emeritus at New York University “Mustafa Suleyman’s insight as a technologist, entrepreneur, and visionary is essential. Deeply researched and highly relevant, this book provides gripping insight into some of the most important challenges of our time.” —Al Gore, former vice president of the United States “In this bold book, Mustafa Suleyman, one of high tech’s true insiders, addresses the most important paradox of our time: we have to contain uncontainable technologies. As he explains, generative AI, synthetic biology, robotics, and other innovations are improving and spreading quickly.

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—Martha Minow, Harvard professor, former dean of Harvard Law School “Nobody has been closer to the unfolding AI revolution than Mustafa Suleyman, and nobody is better placed to outline the risks and rewards of the huge technological changes happening right now. This is an extraordinary and utterly unmissable guide to this unique moment in human history.” —Eric Schmidt, former CEO of Google, co-author of The Age of AI “In The Coming Wave, Mustafa Suleyman offers a powerful argument that today’s explosive technological revolution is poised to be uniquely disruptive. Read this essential book to understand the pace and scale of these technologies—how they will proliferate across our society and their potential to challenge the fabric of the institutions that organize our world.”

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—David Miliband, former U.K. foreign secretary “Presenting a stark assessment of the dangers as well as the wonders of AI, Mustafa Suleyman proposes an urgent agenda of actions governments must take now to constrain the most potentially catastrophic applications of this revolutionary challenge.” —Graham Allison, Harvard professor, bestselling author of Destined for War “The rapid pace of exponential technologies has overwhelmed us with its power and its peril. Mustafa Suleyman, in tracing the history of industrial development to the dizzying acceleration of the recent technological advances, gives us the bigger picture in calm, pragmatic, and deeply ethical prose.

Genius Makers: The Mavericks Who Brought A. I. To Google, Facebook, and the World by Cade Metz

AI winter, air gap, Airbnb, Alan Turing: On Computable Numbers, with an Application to the Entscheidungsproblem, AlphaGo, Amazon Robotics, artificial general intelligence, Asilomar, autonomous vehicles, backpropagation, Big Tech, British Empire, Cambridge Analytica, carbon-based life, cloud computing, company town, computer age, computer vision, deep learning, deepfake, DeepMind, Demis Hassabis, digital map, Donald Trump, driverless car, drone strike, Elon Musk, fake news, Fellow of the Royal Society, Frank Gehry, game design, Geoffrey Hinton, Google Earth, Google X / Alphabet X, Googley, Internet Archive, Isaac Newton, Jeff Hawkins, Jeffrey Epstein, job automation, John Markoff, life extension, machine translation, Mark Zuckerberg, means of production, Menlo Park, move 37, move fast and break things, Mustafa Suleyman, new economy, Nick Bostrom, nuclear winter, OpenAI, PageRank, PalmPilot, pattern recognition, Paul Graham, paypal mafia, Peter Thiel, profit motive, Richard Feynman, ride hailing / ride sharing, Ronald Reagan, Rubik’s Cube, Sam Altman, Sand Hill Road, self-driving car, side project, Silicon Valley, Silicon Valley billionaire, Silicon Valley startup, Skype, speech recognition, statistical model, stem cell, Stephen Hawking, Steve Ballmer, Steven Levy, Steven Pinker, tech worker, telemarketer, The Future of Employment, Turing test, warehouse automation, warehouse robotics, Y Combinator

They could raise far more money from venture capitalists than they ever could writing grant proposals as professors, he told Legg, and they could erect the necessary hardware at a speed universities never could. Legg, in the end, agreed. “We didn’t actually tell anybody at Gatsby what we were planning,” Hassabis says. “They would have thought we were kind of mad.” During their postdoc year, they began spending time with an entrepreneur and social activist named Mustafa Suleyman. When the three of them decided to set up DeepMind, it was Suleyman who provided the financial brains, charged with generating the revenues the company needed to sustain their research. They launched DeepMind in the fall of 2010, its name a nod both to deep learning and to neuroscience—and to the Deep Thought supercomputer that calculated the Ultimate Question of Life in the British sci-fi novel The Hitchhiker’s Guide to the Galaxy.

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The separation grew sharper after Larry Page and Sergey Brin spun off several Google projects into their own businesses and moved them all under a new umbrella company called Alphabet. DeepMind was among those that became its own entity. The tension between Google Brain and DeepMind was so great, the two labs held a kind of summit behind closed doors in Northern California in an effort to ease the situation. Mustafa Suleyman was one of the founders of DeepMind, but he seemed like a better fit for Google Brain. The man everyone called “Moose” wanted to build technology for today, not for the distant future. He wasn’t a gamer or a neuroscientist or even an AI researcher. The son of a Syria-born London cabdriver, he was an Oxford dropout who created a helpline for Muslim youths and worked for the mayor of London on human rights.

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The deal gave DeepMind access to healthcare records for 1.6 million patients as they moved through three London hospitals as well as records from the previous five years, including information describing drug overdoses, abortions, HIV tests, pathology tests, radiology scans, and information about their particular hospital visits. DeepMind was required to delete it after the deal ended, but in Britain, a country that places a particularly high value on digital privacy, the story raised a specter that would follow DeepMind Health and Mustafa Suleyman for years. The following July, a British regulator ruled that the Royal Free NHS Trust had illegally shared its data with DeepMind. 12 DREAMLAND “IT IS NOT THAT PEOPLE AT GOOGLE DRINK DIFFERENT WATERS.” In the spring of 2016, Qi Lu sat on a bicycle, rolling through the park in downtown Bellevue.

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

"Friedman doctrine" OR "shareholder theory", Ada Lovelace, AI winter, air gap, Airbnb, airport security, Alan Turing: On Computable Numbers, with an Application to the Entscheidungsproblem, algorithmic bias, AlphaGo, Andy Rubin, artificial general intelligence, Asilomar, autonomous vehicles, backpropagation, Bayesian statistics, behavioural economics, Bernie Sanders, Big Tech, bioinformatics, Black Lives Matter, blockchain, Bretton Woods, business intelligence, Cambridge Analytica, Cass Sunstein, Charles Babbage, Claude Shannon: information theory, cloud computing, cognitive bias, complexity theory, computer vision, Computing Machinery and Intelligence, CRISPR, cross-border payments, crowdsourcing, cryptocurrency, Daniel Kahneman / Amos Tversky, data science, deep learning, DeepMind, Demis Hassabis, Deng Xiaoping, disinformation, distributed ledger, don't be evil, Donald Trump, Elon Musk, fail fast, fake news, Filter Bubble, Flynn Effect, Geoffrey Hinton, gig economy, Google Glasses, Grace Hopper, Gödel, Escher, Bach, Herman Kahn, high-speed rail, Inbox Zero, Internet of things, Jacques de Vaucanson, Jeff Bezos, Joan Didion, job automation, John von Neumann, knowledge worker, Lyft, machine translation, Mark Zuckerberg, Menlo Park, move fast and break things, Mustafa Suleyman, natural language processing, New Urbanism, Nick Bostrom, one-China policy, optical character recognition, packet switching, paperclip maximiser, pattern recognition, personalized medicine, RAND corporation, Ray Kurzweil, Recombinant DNA, ride hailing / ride sharing, Rodney Brooks, Rubik’s Cube, Salesforce, Sand Hill Road, Second Machine Age, self-driving car, seminal paper, SETI@home, side project, Silicon Valley, Silicon Valley startup, skunkworks, Skype, smart cities, South China Sea, sovereign wealth fund, speech recognition, Stephen Hawking, strong AI, superintelligent machines, surveillance capitalism, technological singularity, The Coming Technological Singularity, the long tail, theory of mind, Tim Cook: Apple, trade route, Turing machine, Turing test, uber lyft, Von Neumann architecture, Watson beat the top human players on Jeopardy!, zero day

By January 2014, Google had begun investing significantly in AI, which included more than $500 million to acquire a hot deep-learning startup called DeepMind and its three founders, neuroscientist Demis Hassabis, a former child prodigy in chess, machine-learning researcher Shane Legg, and entrepreneur Mustafa Suleyman. Part of the team’s appeal: they’d developed a program called AlphaGo. Within months, they were ready to test AlphaGo against a real human player. A match was arranged between DeepMind and Fan Hui, a Chinese-born professional Go player and one of the strongest professional masters in Europe.

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Quite a lot of patient data was passed through to DeepMind, including the details of abortions, drug use, and whether someone had tested positive for HIV.18 Both Google and the Trust were reprimanded by the Information Commissioner’s Office, which is the UK’s government watchdog for data protection. In its rush to optimize DeepMind for revenue-generating applications, cofounder Mustafa Suleyman wrote in a blog post: In our determination to achieve quick impact when this work started in 2015, we underestimated the complexity of the NHS and of the rules around patient data, as well as the potential fears about a well-known tech company working in health. We were almost exclusively focused on building tools that nurses and doctors wanted, and thought of our work as a technology for clinicians rather than something that needed to be accountable to and shaped by patients, the public and the NHS as a whole.

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Lessin, “Deep Confusion: Tensions Lingered Within Google Over DeepMind,” Information, April 19, 2018, https://www.theinformation.com/articles/deep-confusion-tensions-lingered-within-google-over-deepmind. 18. James Vincent, “Google’s DeepMind and UK Hospitals Made Illegal Deal for Health Data, Says Watchdog,” Verge, July 3, 2017, https://www.theverge.com/2017/7/3/15900670/google-deepmind-royal-free-2015-data-deal-ico-ruling-illegal. 19. Mustafa Suleyman and Dominic King, “The Information Commissioner, the Royal Free, and What We’ve Learned,” DeepMind (blog), July 3, 2017, https://deepmind.com/blog/ico-royal-free/. 20. “Microsoft Launches Fifth Generation of Popular AI Xiaoice,” Microsoft News Center, https://www.microsoft.com/en-us/ard/news/newsinfo.aspx?

MegaThreats: Ten Dangerous Trends That Imperil Our Future, and How to Survive Them by Nouriel Roubini

"World Economic Forum" Davos, 2021 United States Capitol attack, 3D printing, 9 dash line, AI winter, AlphaGo, artificial general intelligence, asset allocation, assortative mating, autonomous vehicles, bank run, banking crisis, basic income, Bear Stearns, Big Tech, bitcoin, Bletchley Park, blockchain, Boston Dynamics, Bretton Woods, British Empire, business cycle, business process, call centre, carbon tax, Carmen Reinhart, cashless society, central bank independence, collateralized debt obligation, Computing Machinery and Intelligence, coronavirus, COVID-19, creative destruction, credit crunch, crony capitalism, cryptocurrency, currency manipulation / currency intervention, currency peg, data is the new oil, David Ricardo: comparative advantage, debt deflation, decarbonisation, deep learning, DeepMind, deglobalization, Demis Hassabis, democratizing finance, Deng Xiaoping, disintermediation, Dogecoin, Donald Trump, Elon Musk, en.wikipedia.org, energy security, energy transition, Erik Brynjolfsson, Ethereum, ethereum blockchain, eurozone crisis, failed state, fake news, family office, fiat currency, financial deregulation, financial innovation, financial repression, fixed income, floating exchange rates, forward guidance, Fractional reserve banking, Francis Fukuyama: the end of history, full employment, future of work, game design, geopolitical risk, George Santayana, Gini coefficient, global pandemic, global reserve currency, global supply chain, GPS: selective availability, green transition, Greensill Capital, Greenspan put, Herbert Marcuse, high-speed rail, Hyman Minsky, income inequality, inflation targeting, initial coin offering, Intergovernmental Panel on Climate Change (IPCC), Internet of things, invention of movable type, Isaac Newton, job automation, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, junk bonds, Kenneth Rogoff, knowledge worker, Long Term Capital Management, low interest rates, low skilled workers, low-wage service sector, M-Pesa, margin call, market bubble, Martin Wolf, mass immigration, means of production, meme stock, Michael Milken, middle-income trap, Mikhail Gorbachev, Minsky moment, Modern Monetary Theory, money market fund, money: store of value / unit of account / medium of exchange, moral hazard, mortgage debt, Mustafa Suleyman, Nash equilibrium, natural language processing, negative equity, Nick Bostrom, non-fungible token, non-tariff barriers, ocean acidification, oil shale / tar sands, oil shock, paradox of thrift, pets.com, Phillips curve, planetary scale, Ponzi scheme, precariat, price mechanism, price stability, public intellectual, purchasing power parity, quantitative easing, race to the bottom, Ralph Waldo Emerson, ransomware, Ray Kurzweil, regulatory arbitrage, reserve currency, reshoring, Robert Shiller, Ronald Reagan, Salesforce, Satoshi Nakamoto, Savings and loan crisis, Second Machine Age, short selling, Silicon Valley, smart contracts, South China Sea, sovereign wealth fund, Stephen Hawking, TED Talk, The Great Moderation, the payments system, Thomas L Friedman, TikTok, too big to fail, Turing test, universal basic income, War on Poverty, warehouse robotics, Washington Consensus, Watson beat the top human players on Jeopardy!, working-age population, Yogi Berra, Yom Kippur War, zero-sum game, zoonotic diseases

By allowing machines to scan vast corpuses of texts and do their own pattern analyses, AIs have learned how to translate between languages with remarkable success, and how to generate new texts with remarkable authenticity. The subtle grasp of language crosses one of the last obstacles en route to satisfying the Turing Test. “Distinguishing AI-generated text, images and audio from human generated will become extremely difficult,” says Mustafa Suleyman, a cofounder of DeepMind and till recently head of AI policy at Google, as the “transformers” revolution accelerates the power of AI.43 As a consequence, a large number of white-collar jobs using advanced levels of cognition will become obsolete. Humans won’t know that their counterparts are machines.

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Many financial markets experts and gurus have allowed me to connect my macroeconomic ideas with their market and asset price implications: Mohamed El Erian, George Soros, Louis Bacon, Alan Howard, Chris Rokos, Ray Dalio, Byron Wien, Stelios Zavvos, Steve Roach, David Rosenberg, Mark Zandi, Jim O’Neill, Luis Oganes, Joyce Chang, Lewis Alexander, Jens Nystedt, Robert Kahn, Joshua Rosner, Bill Janeway, Ron Perelman, Avi Tiomkin, Arnab Das, George Magnus, Christian Keller, Jan Hatzius, Richard Koo, Michael Milken, John Paulson, Xavier Botteri, Richard Hurowitz, Jeff Greene. There are also many public intellectuals and some media commentators who have shaped my thinking and views: Ian Bremmer, Martin Wolf, Fareed Zakaria, Eric Schmidt, Nicholas Berggruen, Gillian Tett, Richard Haass, Mustafa Suleyman, Jared Cohen, Andrew Ross Sorkin, Jacques Attali, Tom Keene, Jon Ferro. Discover Your Next Great Read Get sneak peeks, book recommendations, and news about your favorite authors. Tap here to learn more. About the Author Nouriel Roubini is a professor of economics at New York University’s Stern School of Business and the founder and chairman of Roubini Global Economics.

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Robert Reich, “Why Automation Means We Need a New Economic Model,” World Economic Forum, March 17, 2015, https://www.weforum.org/agenda/2015/03/why-automation-means-we-need-a-new-economic-model/?utm_content=buffere751d&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer. 42. Daron Acemoglu and Pascual Restrepo, “Robots and Jobs: Evidence from US Labor Markets,” Journal of Political Economy 128, no. 6 (April 22, 2020), https://economics.mit.edu/files/19696. 43. Mustafa Suleyman, “Transformers Are the Future,” July 2021.<<AU: Please provide more complete information. I was unable to find this article.>> [[This unpublished article was shared with Nouriel]] 44. “The Return of the Machinery Question,” The Economist, June 25, 2016, https://www.economist.com/special-report/2016/06/23/the-return-of-the-machinery-question. 45.

Machine, Platform, Crowd: Harnessing Our Digital Future by Andrew McAfee, Erik Brynjolfsson

"World Economic Forum" Davos, 3D printing, additive manufacturing, AI winter, Airbnb, airline deregulation, airport security, Albert Einstein, algorithmic bias, AlphaGo, Amazon Mechanical Turk, Amazon Web Services, Andy Rubin, AOL-Time Warner, artificial general intelligence, asset light, augmented reality, autism spectrum disorder, autonomous vehicles, backpropagation, backtesting, barriers to entry, behavioural economics, bitcoin, blockchain, blood diamond, British Empire, business cycle, business process, carbon footprint, Cass Sunstein, centralized clearinghouse, Chris Urmson, cloud computing, cognitive bias, commoditize, complexity theory, computer age, creative destruction, CRISPR, crony capitalism, crowdsourcing, cryptocurrency, Daniel Kahneman / Amos Tversky, data science, Dean Kamen, deep learning, DeepMind, Demis Hassabis, discovery of DNA, disintermediation, disruptive innovation, distributed ledger, double helix, driverless car, Elon Musk, en.wikipedia.org, Erik Brynjolfsson, Ethereum, ethereum blockchain, everywhere but in the productivity statistics, Evgeny Morozov, fake news, family office, fiat currency, financial innovation, general purpose technology, Geoffrey Hinton, George Akerlof, global supply chain, Great Leap Forward, Gregor Mendel, Hernando de Soto, hive mind, independent contractor, information asymmetry, Internet of things, inventory management, iterative process, Jean Tirole, Jeff Bezos, Jim Simons, jimmy wales, John Markoff, joint-stock company, Joseph Schumpeter, Kickstarter, Kiva Systems, law of one price, longitudinal study, low interest rates, Lyft, Machine translation of "The spirit is willing, but the flesh is weak." to Russian and back, Marc Andreessen, Marc Benioff, Mark Zuckerberg, meta-analysis, Mitch Kapor, moral hazard, multi-sided market, Mustafa Suleyman, Myron Scholes, natural language processing, Network effects, new economy, Norbert Wiener, Oculus Rift, PageRank, pattern recognition, peer-to-peer lending, performance metric, plutocrats, precision agriculture, prediction markets, pre–internet, price stability, principal–agent problem, Project Xanadu, radical decentralization, Ray Kurzweil, Renaissance Technologies, Richard Stallman, ride hailing / ride sharing, risk tolerance, Robert Solow, Ronald Coase, Salesforce, Satoshi Nakamoto, Second Machine Age, self-driving car, sharing economy, Silicon Valley, Skype, slashdot, smart contracts, Snapchat, speech recognition, statistical model, Steve Ballmer, Steve Jobs, Steven Pinker, supply-chain management, synthetic biology, tacit knowledge, TaskRabbit, Ted Nelson, TED Talk, the Cathedral and the Bazaar, The Market for Lemons, The Nature of the Firm, the strength of weak ties, Thomas Davenport, Thomas L Friedman, too big to fail, transaction costs, transportation-network company, traveling salesman, Travis Kalanick, Two Sigma, two-sided market, Tyler Cowen, Uber and Lyft, Uber for X, uber lyft, ubercab, Vitalik Buterin, warehouse robotics, Watson beat the top human players on Jeopardy!, winner-take-all economy, yield management, zero day

When control of an actual data center was turned over to these systems, the results were immediate and dramatic. The total amount of energy used for cooling fell by as much as 40%, and the facility’s overhead—the energy not used directly for IT equipment, which includes ancillary loads and electrical losses—improved by about 15%. DeepMind cofounder Mustafa Suleyman told us these were among the largest improvements the Google data center team had ever seen. Suleyman also stressed to us that DeepMind’s approach is highly generalizable. The neural networks used by the team do not need to be completely reconfigured for each new data center. They simply need to be trained with as much detailed historical data as possible.

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In addition to the interviewees who are quoted in this book, many others taught us a lot: Daron Acemoglu Susan Athey David Autor Jeff Bezos Nick Bloom Christian Catalini Michael Chui Paul Daugherty Tom Davenport Tom Friedman Demis Hassabis Reid Hoffman Jeremy Howard Dean Kamen Andy Karsner Christine Lagarde Yann LeCun Shane Legg John Leonard David Lipton Tom Malone James Manyika Kristina McElheren Tom Mitchell Elon Musk Ramez Naam Tim O’Reilly Gill Pratt Francesa Rossi Daniela Rus Stuart Russell Eric Schmidt Mustafa Suleyman Max Tegmark Sebastian Thrun But you can put off writing for only so long. After we had talked to a lot of people, and to each other a fair amount, it was time to put words on paper. This is an unavoidably solitary and strangely time-consuming activity. While it was going on, we needed our colleagues to carry on the work of the MIT Initiative on the Digital Economy.

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

Adam Curtis, agricultural Revolution, AI winter, Alan Turing: On Computable Numbers, with an Application to the Entscheidungsproblem, algorithmic trading, Anthropocene, artificial general intelligence, augmented reality, autism spectrum disorder, autonomous vehicles, backpropagation, basic income, behavioural economics, bitcoin, blockchain, bread and circuses, Charles Babbage, clean water, cognitive dissonance, Colonization of Mars, complexity theory, computer age, computer vision, constrained optimization, corporate personhood, cosmological principle, cryptocurrency, cuban missile crisis, Danny Hillis, dark matter, data science, deep learning, DeepMind, Demis Hassabis, digital capitalism, digital divide, digital rights, discrete time, Douglas Engelbart, driverless car, Elon Musk, Emanuel Derman, endowment effect, epigenetics, Ernest Rutherford, experimental economics, financial engineering, Flash crash, friendly AI, functional fixedness, global pandemic, Google Glasses, Great Leap Forward, Hans Moravec, hive mind, Ian Bogost, income inequality, information trail, Internet of things, invention of writing, iterative process, James Webb Space Telescope, Jaron Lanier, job automation, Johannes Kepler, John Markoff, John von Neumann, Kevin Kelly, knowledge worker, Large Hadron Collider, lolcat, loose coupling, machine translation, microbiome, mirror neurons, Moneyball by Michael Lewis explains big data, Mustafa Suleyman, natural language processing, Network effects, Nick Bostrom, Norbert Wiener, paperclip maximiser, pattern recognition, Peter Singer: altruism, phenotype, planetary scale, Ray Kurzweil, Recombinant DNA, recommendation engine, Republic of Letters, RFID, Richard Thaler, Rory Sutherland, Satyajit Das, Search for Extraterrestrial Intelligence, self-driving car, sharing economy, Silicon Valley, Skype, smart contracts, social intelligence, speech recognition, statistical model, stem cell, Stephen Hawking, Steve Jobs, Steven Pinker, Stewart Brand, strong AI, Stuxnet, superintelligent machines, supervolcano, synthetic biology, systems thinking, tacit knowledge, TED Talk, the scientific method, The Wisdom of Crowds, theory of mind, Thorstein Veblen, too big to fail, Turing machine, Turing test, Von Neumann architecture, Watson beat the top human players on Jeopardy!, We are as Gods, Y2K

MELANIE SWAN The Future Possibility-Space of Intelligence TOR NØRRETRANDERS Love KAI KRAUSE An Uncanny Three-Ring Test for Machina sapiens GEORG DIEZ Free from Us EDUARDO SALCEDO-ALBARÁN Flawless AI Seems Like Science Fiction MARIA SPIROPULU Emergent Hybrid Human/Machine Chimeras THOMAS METZINGER What If They Need to Suffer? BEATRICE GOLOMB Will We Recognize It When It Happens? NOGA ARIKHA Metarepresentation DEMIS HASSABIS, SHANE LEGG & MUSTAFA SULEYMAN Envoi: A Short Distance Ahead—and Plenty to Be Done NOTES ABOUT THE AUTHOR ALSO BY JOHN BROCKMAN CREDITS BACK ADS COPYRIGHT ABOUT THE PUBLISHER ACKNOWLEDGMENTS My thanks to Peter Hubbard of HarperCollins and my agent, Max Brockman, for their continued encouragement. A special thanks, once again, to Sara Lippincott for her thoughtful attention to the manuscript.

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But until we replicate the embodied emotional being—a feat I don’t believe we can achieve—our machines will continue to serve as occasional analogies for thought and to evolve according to our needs. ENVOI: A SHORT DISTANCE AHEAD—AND PLENTY TO BE DONE DEMIS HASSABIS Vice President of Engineering, Google DeepMind; cofounder, DeepMind Technologies SHANE LEGG AI researcher; cofounder, DeepMind Technologies MUSTAFA SULEYMAN Head of applied AI, Google DeepMind; cofounder, DeepMind Technologies For years we’ve been making the case that artificial intelligence, and in particular the field of machine learning, is making rapid progress and is set to make a whole lot more progress. Along with this, we’ve been standing up for the idea that the safety and ethics of artificial intelligence is an important topic that all of us should be thinking about very seriously.

The Future We Choose: Surviving the Climate Crisis by Christiana Figueres, Tom Rivett-Carnac

3D printing, Airbnb, AlphaGo, Anthropocene, autonomous vehicles, Berlin Wall, biodiversity loss, carbon footprint, circular economy, clean water, David Attenborough, decarbonisation, DeepMind, dematerialisation, Demis Hassabis, disinformation, Donald Trump, driverless car, en.wikipedia.org, Extinction Rebellion, F. W. de Klerk, Fall of the Berlin Wall, Gail Bradbrook, General Motors Futurama, green new deal, Greta Thunberg, high-speed rail, income inequality, Intergovernmental Panel on Climate Change (IPCC), Internet of things, Jeff Bezos, job automation, Lyft, Mahatma Gandhi, Marc Benioff, Martin Wolf, mass immigration, Mustafa Suleyman, Nelson Mandela, new economy, ocean acidification, plant based meat, post-truth, rewilding, ride hailing / ride sharing, self-driving car, smart grid, sovereign wealth fund, the scientific method, trade route, uber lyft, urban planning, urban sprawl, Yogi Berra

Sanjayan, Steve Sawyer, Jerome Schmitt, Kirsty Schneeberger, Seth Schultz, Klaus Schwab, Arnold Schwarzenegger, Jeff Seabright, Maros Sefcovic, Leah Seligmann, Peter Seligmann, Oleg Shamanov, Kevin Sheekey, Feike Sijbesma, Nat Simons, Paul Simpson, Michael Skelly, Erna Solberg, Andrew Steer, Achim Steiner, Todd Stern, Tom Steyer, Irene Suárez, Mustafa Suleyman, Terry Tamminen, Ratan Tata, Astro Teller, Tessa Tenant, Halldór Thorgeirsson, Greta Thunberg, Svante Thunberg, Susan Tierney, Halla Tomasdottir, Laurence Tubiana, Keith Tuffley, Jo Tyndall, Hamdi Ulukaya, Gino van Begin, Ben van Beurden, Andy Vesey, Mark Watts, Dominic Waughray, Meridith Webster, Scott Weiner, Helen Wildsmith, Antha Williams, Dessima Williams, Mark Wilson, Justin Winters, Martin Wolf, Farhana Yamin, Zhang Yue, Mohammed Yunus, Jochen Zeitz, and Xie Zhenhua.

Thinking Machines: The Inside Story of Artificial Intelligence and Our Race to Build the Future by Luke Dormehl

"World Economic Forum" Davos, Ada Lovelace, agricultural Revolution, AI winter, Albert Einstein, Alexey Pajitnov wrote Tetris, algorithmic management, algorithmic trading, AlphaGo, Amazon Mechanical Turk, Apple II, artificial general intelligence, Automated Insights, autonomous vehicles, backpropagation, Bletchley Park, book scanning, borderless world, call centre, cellular automata, Charles Babbage, Claude Shannon: information theory, cloud computing, computer vision, Computing Machinery and Intelligence, correlation does not imply causation, crowdsourcing, deep learning, DeepMind, driverless car, drone strike, Elon Musk, Flash crash, Ford Model T, friendly AI, game design, Geoffrey Hinton, global village, Google X / Alphabet X, Hans Moravec, hive mind, industrial robot, information retrieval, Internet of things, iterative process, Jaron Lanier, John Markoff, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, John von Neumann, Kickstarter, Kodak vs Instagram, Law of Accelerating Returns, life extension, Loebner Prize, machine translation, Marc Andreessen, Mark Zuckerberg, Menlo Park, Mustafa Suleyman, natural language processing, Nick Bostrom, Norbert Wiener, out of africa, PageRank, paperclip maximiser, pattern recognition, radical life extension, Ray Kurzweil, recommendation engine, remote working, RFID, scientific management, self-driving car, Silicon Valley, Skype, smart cities, Smart Cities: Big Data, Civic Hackers, and the Quest for a New Utopia, social intelligence, speech recognition, Stephen Hawking, Steve Jobs, Steve Wozniak, Steven Pinker, strong AI, superintelligent machines, tech billionaire, technological singularity, The Coming Technological Singularity, The Future of Employment, Tim Cook: Apple, Tony Fadell, too big to fail, traumatic brain injury, Turing machine, Turing test, Vernor Vinge, warehouse robotics, Watson beat the top human players on Jeopardy!

That notably changed in January 2014, when Google acquired the deep learning company DeepMind. As part of the deal, Google was pushed to set up an AI ethics board, with the goal of ensuring that the technology was used wisely. While few details have been made public about the makeup of the board, the creation of such a safeguard was an important benchmark. In the summer of 2015, Mustafa Suleyman, head of applied AI at DeepMind, acknowledged the way that the public’s view of Artificial Intelligence has started to change in this area. ‘The narrative has shifted from “Isn’t it terrible that AI has been such a failure?” to “Isn’t it terrible that AI has been such a success?”’ he said, speaking at a deep learning event.

Framers: Human Advantage in an Age of Technology and Turmoil by Kenneth Cukier, Viktor Mayer-Schönberger, Francis de Véricourt

Albert Einstein, Andrew Wiles, Apollo 11, autonomous vehicles, Ben Bernanke: helicopter money, Berlin Wall, bitcoin, Black Lives Matter, blockchain, Blue Ocean Strategy, circular economy, Claude Shannon: information theory, cognitive dissonance, cognitive load, contact tracing, coronavirus, correlation does not imply causation, COVID-19, credit crunch, CRISPR, crowdsourcing, cuban missile crisis, Daniel Kahneman / Amos Tversky, deep learning, DeepMind, defund the police, Demis Hassabis, discovery of DNA, Donald Trump, double helix, Douglas Hofstadter, Elon Musk, en.wikipedia.org, fake news, fiat currency, framing effect, Francis Fukuyama: the end of history, Frank Gehry, game design, George Floyd, George Gilder, global pandemic, global village, Gödel, Escher, Bach, Higgs boson, Ignaz Semmelweis: hand washing, informal economy, Isaac Newton, Jaron Lanier, Jeff Bezos, job-hopping, knowledge economy, Large Hadron Collider, lockdown, Louis Pasteur, Mark Zuckerberg, Mercator projection, meta-analysis, microaggression, Mustafa Suleyman, Neil Armstrong, nudge unit, OpenAI, packet switching, pattern recognition, Peter Thiel, public intellectual, quantitative easing, Ray Kurzweil, Richard Florida, Schrödinger's Cat, scientific management, self-driving car, Silicon Valley, Steve Jobs, Steven Pinker, TED Talk, The Structural Transformation of the Public Sphere, Thomas Kuhn: the structure of scientific revolutions, TikTok, Tim Cook: Apple, too big to fail, transaction costs, Tyler Cowen

Likewise, I thank the team at the British think tank Chatham House, Wilton Park, and the Ditchley Foundation led by James Arroyo, for producing reports and events that improve people’s framing. Many interviews for The Economist’s Babbage podcast and Open Future were helpful in writing this book, including with Mustafa Suleyman of DeepMind, Patrick Collison of Stripe, Aaron Levie of Box, the entrepreneurs Elad Gil and Daniel Gross, Matt Ridley, Eric Topol, David Eagleman, Adam Grant, Howard Gardner, Daniel Levitin, Bill Janeway, Andrew McAfee, Roy Bahat, Zavain Dar, Nan Li, Benedict Evans, Azeem Azhar, David McCourt, James Field, Dan Levin, Steven Johnson, Bina Venkataraman, Sean McFate, and Shane Parrish.

The Creativity Code: How AI Is Learning to Write, Paint and Think by Marcus Du Sautoy

3D printing, Ada Lovelace, Albert Einstein, algorithmic bias, AlphaGo, Alvin Roth, Andrew Wiles, Automated Insights, Benoit Mandelbrot, Bletchley Park, Cambridge Analytica, Charles Babbage, Claude Shannon: information theory, computer vision, Computing Machinery and Intelligence, correlation does not imply causation, crowdsourcing, data is the new oil, data science, deep learning, DeepMind, Demis Hassabis, Donald Trump, double helix, Douglas Hofstadter, driverless car, Elon Musk, Erik Brynjolfsson, Fellow of the Royal Society, Flash crash, Gödel, Escher, Bach, Henri Poincaré, Jacquard loom, John Conway, Kickstarter, Loebner Prize, machine translation, mandelbrot fractal, Minecraft, move 37, music of the spheres, Mustafa Suleyman, Narrative Science, natural language processing, Netflix Prize, PageRank, pattern recognition, Paul Erdős, Peter Thiel, random walk, Ray Kurzweil, recommendation engine, Rubik’s Cube, Second Machine Age, Silicon Valley, speech recognition, stable marriage problem, Turing test, Watson beat the top human players on Jeopardy!, wikimedia commons

It was during coffee breaks from lab work that Hassabis started discussing with a neuroscientist, Shane Legg, his plans to create a company to try out his ideas. It shows the low status of AI even a decade ago that they never admitted to their professors their dream to dedicate their lives to AI. But they felt they were on to something big, so in September 2010 the two scientists decided to create a company with Mustafa Suleyman, a friend of Hassabis from childhood. DeepMind was incorporated. The company needed money but initially Hassabis just couldn’t raise any capital. Pitching on a platform that they were going to play games and solve intelligence did not sound serious to most investors. A few, however, did see the vision.

The Road to Conscious Machines by Michael Wooldridge

Ada Lovelace, AI winter, algorithmic bias, AlphaGo, Andrew Wiles, Anthropocene, artificial general intelligence, Asilomar, augmented reality, autonomous vehicles, backpropagation, basic income, Bletchley Park, Boeing 747, British Empire, call centre, Charles Babbage, combinatorial explosion, computer vision, Computing Machinery and Intelligence, DARPA: Urban Challenge, deep learning, deepfake, DeepMind, Demis Hassabis, don't be evil, Donald Trump, driverless car, Elaine Herzberg, Elon Musk, Eratosthenes, factory automation, fake news, future of work, gamification, general purpose technology, Geoffrey Hinton, gig economy, Google Glasses, intangible asset, James Watt: steam engine, job automation, John von Neumann, Loebner Prize, Minecraft, Mustafa Suleyman, Nash equilibrium, Nick Bostrom, Norbert Wiener, NP-complete, P = NP, P vs NP, paperclip maximiser, pattern recognition, Philippa Foot, RAND corporation, Ray Kurzweil, Rodney Brooks, self-driving car, Silicon Valley, Stephen Hawking, Steven Pinker, strong AI, technological singularity, telemarketer, Tesla Model S, The Coming Technological Singularity, The Future of Employment, the scientific method, theory of mind, Thomas Bayes, Thomas Kuhn: the structure of scientific revolutions, traveling salesman, trolley problem, Turing machine, Turing test, universal basic income, Von Neumann architecture, warehouse robotics

Before we can use deep learning in sensitive applications, we need to understand these problems in much more detail. DeepMind The story of DeepMind, which I referred to earlier in this chapter, perfectly epitomizes the rise of deep learning. The company was founded in 2010 by Demis Hassabis, an AI researcher and computer games enthusiast, together with his school friend and entrepreneur Mustafa Suleyman, and they were joined by Shane Legg, a computational neuroscientist that Hassabis met while working at University College London. As we heard, Google acquired DeepMind early in 2014; I can recall seeing stories in the press about the acquisition, and starting in surprise when I saw that DeepMind were an AI company.

Them and Us: How Immigrants and Locals Can Thrive Together by Philippe Legrain

affirmative action, Albert Einstein, AlphaGo, autonomous vehicles, Berlin Wall, Black Lives Matter, Boris Johnson, Brexit referendum, British Empire, call centre, centre right, Chelsea Manning, clean tech, coronavirus, corporate social responsibility, COVID-19, creative destruction, crowdsourcing, data science, David Attenborough, DeepMind, Demis Hassabis, demographic dividend, digital divide, discovery of DNA, Donald Trump, double helix, Edward Glaeser, en.wikipedia.org, eurozone crisis, failed state, Fall of the Berlin Wall, future of work, illegal immigration, immigration reform, informal economy, Jane Jacobs, job automation, Jony Ive, labour market flexibility, lockdown, low cost airline, low interest rates, low skilled workers, lump of labour, Mahatma Gandhi, Mark Zuckerberg, Martin Wolf, Mary Meeker, mass immigration, moral hazard, Mustafa Suleyman, Network effects, new economy, offshore financial centre, open borders, open immigration, postnationalism / post nation state, purchasing power parity, remote working, Richard Florida, ride hailing / ride sharing, Rishi Sunak, Ronald Reagan, Silicon Valley, Skype, SoftBank, Steve Jobs, tech worker, The Death and Life of Great American Cities, The future is already here, The Future of Employment, Tim Cook: Apple, Tyler Cowen, urban sprawl, WeWork, Winter of Discontent, women in the workforce, working-age population

English physicist Francis Crick and American biologist James Watson concluded that it consisted of a three-dimensional double helix, based on the earlier discovery of DNA by a Swiss scientist, Friedrich Miescher, developed by Phoebus Levene, a Lithuanian-born American biochemist, and Erwin Chargaff, an Austro-Hungarian one.2 Or consider DeepMind, a London-based company doing groundbreaking practical research on artificial intelligence. Mustafa Suleyman, whose father was a Syrian-born taxi driver and mother an English nurse, met Demis Hassabis, whose father was Greek-Cypriot and mother Chinese Singaporean, when they were teenagers in north London. ‘Demis and I had conversations about how to impact the world, and he’d argue that we need to build these grand simulations that one day will model all the complex dynamics of our financial systems and solve our toughest social problems,’ Mustafa explains.

Exponential: How Accelerating Technology Is Leaving Us Behind and What to Do About It by Azeem Azhar

"Friedman doctrine" OR "shareholder theory", "World Economic Forum" Davos, 23andMe, 3D printing, A Declaration of the Independence of Cyberspace, Ada Lovelace, additive manufacturing, air traffic controllers' union, Airbnb, algorithmic management, algorithmic trading, Amazon Mechanical Turk, autonomous vehicles, basic income, Berlin Wall, Bernie Sanders, Big Tech, Bletchley Park, Blitzscaling, Boeing 737 MAX, book value, Boris Johnson, Bretton Woods, carbon footprint, Chris Urmson, Citizen Lab, Clayton Christensen, cloud computing, collective bargaining, computer age, computer vision, contact tracing, contact tracing app, coronavirus, COVID-19, creative destruction, crowdsourcing, cryptocurrency, cuban missile crisis, Daniel Kahneman / Amos Tversky, data science, David Graeber, David Ricardo: comparative advantage, decarbonisation, deep learning, deglobalization, deindustrialization, dematerialisation, Demis Hassabis, Diane Coyle, digital map, digital rights, disinformation, Dissolution of the Soviet Union, Donald Trump, Double Irish / Dutch Sandwich, drone strike, Elon Musk, emotional labour, energy security, Fairchild Semiconductor, fake news, Fall of the Berlin Wall, Firefox, Frederick Winslow Taylor, fulfillment center, future of work, Garrett Hardin, gender pay gap, general purpose technology, Geoffrey Hinton, gig economy, global macro, global pandemic, global supply chain, global value chain, global village, GPT-3, Hans Moravec, happiness index / gross national happiness, hiring and firing, hockey-stick growth, ImageNet competition, income inequality, independent contractor, industrial robot, intangible asset, Jane Jacobs, Jeff Bezos, job automation, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, John Perry Barlow, Just-in-time delivery, Kickstarter, Kiva Systems, knowledge worker, Kodak vs Instagram, Law of Accelerating Returns, lockdown, low skilled workers, lump of labour, Lyft, manufacturing employment, Marc Benioff, Mark Zuckerberg, megacity, Mitch Kapor, Mustafa Suleyman, Network effects, new economy, NSO Group, Ocado, offshore financial centre, OpenAI, PalmPilot, Panopticon Jeremy Bentham, Peter Thiel, Planet Labs, price anchoring, RAND corporation, ransomware, Ray Kurzweil, remote working, RFC: Request For Comment, Richard Florida, ride hailing / ride sharing, Robert Bork, Ronald Coase, Ronald Reagan, Salesforce, Sam Altman, scientific management, Second Machine Age, self-driving car, Shoshana Zuboff, Silicon Valley, Social Responsibility of Business Is to Increase Its Profits, software as a service, Steve Ballmer, Steve Jobs, Stuxnet, subscription business, synthetic biology, tacit knowledge, TaskRabbit, tech worker, The Death and Life of Great American Cities, The Future of Employment, The Nature of the Firm, Thomas Malthus, TikTok, Tragedy of the Commons, Turing machine, Uber and Lyft, Uber for X, uber lyft, universal basic income, uranium enrichment, vertical integration, warehouse automation, winner-take-all economy, workplace surveillance , Yom Kippur War

The special projects and podcast teams at Exponential View, including Fred Casella, Ilan Goodman, Katie Irani, Elise Thomas, Diana Fox Carney, Joanna Jones, Jayne Packer, Nasos Papadopoulos and Bojan Sabioncello, kept the guests – and the insights – flowing. This book would also not have been possible without the readers of my newsletter, Exponential View, and in particular those who gave it the early momentum – including Laurent Haug, John Henderson, Martin De Kujper, Fred Wilson, Hamish Mackenzie, Mustafa Suleyman, Kenn Cukier and Daniel Ek. A special mention goes out to members of the Exponential Do community, whose vigorous and ongoing discussions helped illuminate many issues. Particular thanks to Zavain Dar and Tuan Pham, who enticed me into presenting the earliest cut of these ideas in December 2016; and to Shamil Chandaria, who first suggested that my thesis not only could make a book but should make a book.

Human Frontiers: The Future of Big Ideas in an Age of Small Thinking by Michael Bhaskar

"Margaret Hamilton" Apollo, 3D printing, additive manufacturing, AI winter, Albert Einstein, algorithmic trading, AlphaGo, Anthropocene, artificial general intelligence, augmented reality, autonomous vehicles, backpropagation, barriers to entry, basic income, behavioural economics, Benoit Mandelbrot, Berlin Wall, Big bang: deregulation of the City of London, Big Tech, Bletchley Park, blockchain, Boeing 747, brain emulation, Brexit referendum, call centre, carbon tax, charter city, citizen journalism, Claude Shannon: information theory, Clayton Christensen, clean tech, clean water, cognitive load, Columbian Exchange, coronavirus, cosmic microwave background, COVID-19, creative destruction, CRISPR, crony capitalism, cyber-physical system, dark matter, David Graeber, deep learning, DeepMind, deindustrialization, dematerialisation, Demis Hassabis, demographic dividend, Deng Xiaoping, deplatforming, discovery of penicillin, disruptive innovation, Donald Trump, double entry bookkeeping, Easter island, Edward Jenner, Edward Lorenz: Chaos theory, Elon Musk, en.wikipedia.org, endogenous growth, energy security, energy transition, epigenetics, Eratosthenes, Ernest Rutherford, Eroom's law, fail fast, false flag, Fellow of the Royal Society, flying shuttle, Ford Model T, Francis Fukuyama: the end of history, general purpose technology, germ theory of disease, glass ceiling, global pandemic, Goodhart's law, Google Glasses, Google X / Alphabet X, GPT-3, Haber-Bosch Process, hedonic treadmill, Herman Kahn, Higgs boson, hive mind, hype cycle, Hyperloop, Ignaz Semmelweis: hand washing, Innovator's Dilemma, intangible asset, interchangeable parts, Internet of things, invention of agriculture, invention of the printing press, invention of the steam engine, invention of the telegraph, invisible hand, Isaac Newton, ITER tokamak, James Watt: steam engine, James Webb Space Telescope, Jeff Bezos, jimmy wales, job automation, Johannes Kepler, John von Neumann, Joseph Schumpeter, Kenneth Arrow, Kevin Kelly, Kickstarter, knowledge economy, knowledge worker, Large Hadron Collider, liberation theology, lockdown, lone genius, loss aversion, Louis Pasteur, Mark Zuckerberg, Martin Wolf, megacity, megastructure, Menlo Park, Minecraft, minimum viable product, mittelstand, Modern Monetary Theory, Mont Pelerin Society, Murray Gell-Mann, Mustafa Suleyman, natural language processing, Neal Stephenson, nuclear winter, nudge unit, oil shale / tar sands, open economy, OpenAI, opioid epidemic / opioid crisis, PageRank, patent troll, Peter Thiel, plutocrats, post scarcity, post-truth, precautionary principle, public intellectual, publish or perish, purchasing power parity, quantum entanglement, Ray Kurzweil, remote working, rent-seeking, Republic of Letters, Richard Feynman, Robert Gordon, Robert Solow, secular stagnation, shareholder value, Silicon Valley, Silicon Valley ideology, Simon Kuznets, skunkworks, Slavoj Žižek, sovereign wealth fund, spinning jenny, statistical model, stem cell, Steve Jobs, Stuart Kauffman, synthetic biology, techlash, TED Talk, The Rise and Fall of American Growth, the scientific method, The Wealth of Nations by Adam Smith, Thomas Bayes, Thomas Kuhn: the structure of scientific revolutions, Thomas Malthus, TikTok, total factor productivity, transcontinental railway, Two Sigma, Tyler Cowen, Tyler Cowen: Great Stagnation, universal basic income, uranium enrichment, We wanted flying cars, instead we got 140 characters, When a measure becomes a target, X Prize, Y Combinator

Jones, Victoria Krakovna, Roman Krznaric, François Lafond, James Le Fanu, Joel Mokyr, Geoff Mulgan, Mikko Packalen, Carlota Perez, Mark Piesing, Benjamin Reinhardt, Matt Ridley, Jack Scannell, Vera Schäfer, Ben Southwood, Peter Watson and Michael Webb. I'm sure there are many names I've forgotten and apologies in advance to them. A particular thanks to Anthony Blake, James Bullock, Angus Phillips, Daniel Slater, Mustafa Suleyman and George Walkley for their comments on an early draft of the book and for many conversations around it. It goes without saying that all errors are absolutely my own and I welcome readers who find them! Compared to my previous books I'm also keenly aware this was a discussion being held on blogs, newsletters and podcasts.

Evil Genes: Why Rome Fell, Hitler Rose, Enron Failed, and My Sister Stole My Mother's Boyfriend by Barbara Oakley Phd

agricultural Revolution, Alfred Russel Wallace, Barry Marshall: ulcers, cognitive dissonance, conceptual framework, corporate governance, dark triade / dark tetrad, Deng Xiaoping, disinformation, double helix, Great Leap Forward, Gregor Mendel, impulse control, Mahatma Gandhi, meta-analysis, Milgram experiment, mirror neurons, Mustafa Suleyman, Norbert Wiener, phenotype, Ponzi scheme, prisoner's dilemma, Richard Feynman, rolodex, Ronald Reagan, seminal paper, Silicon Valley, Stanford prison experiment, Steven Pinker, The Wisdom of Crowds, Thomas Kuhn: the structure of scientific revolutions, twin studies, union organizing, Y2K

A contemporary remarked: “For myself I have always heard every one speak ill of her and of her children, and well of the first-born and his mother.”42 (Recent attempts to rehabilitate Roxalena's reputation involve putting a positive, feminist spin on her more unsavory, power-hungry attributes.)43 In any event, it appears Roxalena forged a letter that made it seem that crown prince Mustafa—Suleyman's favorite son—was scheming with the shah of Persia to dethrone his father. Mustafa was subsequently strangled on Suleyman's orders. Roxalena also orchestrated Grand Vizier Ibrahim's death, taking advantage of every bit of gossip and information to inflame Suleyman's mind against his stalwart commander and best friend since childhood.

Architects of Intelligence by Martin Ford

3D printing, agricultural Revolution, AI winter, algorithmic bias, Alignment Problem, AlphaGo, Apple II, artificial general intelligence, Asilomar, augmented reality, autonomous vehicles, backpropagation, barriers to entry, basic income, Baxter: Rethink Robotics, Bayesian statistics, Big Tech, bitcoin, Boeing 747, Boston Dynamics, business intelligence, business process, call centre, Cambridge Analytica, cloud computing, cognitive bias, Colonization of Mars, computer vision, Computing Machinery and Intelligence, correlation does not imply causation, CRISPR, crowdsourcing, DARPA: Urban Challenge, data science, deep learning, DeepMind, Demis Hassabis, deskilling, disruptive innovation, Donald Trump, Douglas Hofstadter, driverless car, Elon Musk, Erik Brynjolfsson, Ernest Rutherford, fake news, Fellow of the Royal Society, Flash crash, future of work, general purpose technology, Geoffrey Hinton, gig economy, Google X / Alphabet X, Gödel, Escher, Bach, Hans Moravec, Hans Rosling, hype cycle, ImageNet competition, income inequality, industrial research laboratory, industrial robot, information retrieval, job automation, John von Neumann, Large Hadron Collider, Law of Accelerating Returns, life extension, Loebner Prize, machine translation, Mark Zuckerberg, Mars Rover, means of production, Mitch Kapor, Mustafa Suleyman, natural language processing, new economy, Nick Bostrom, OpenAI, opioid epidemic / opioid crisis, optical character recognition, paperclip maximiser, pattern recognition, phenotype, Productivity paradox, radical life extension, Ray Kurzweil, recommendation engine, Robert Gordon, Rodney Brooks, Sam Altman, self-driving car, seminal paper, sensor fusion, sentiment analysis, Silicon Valley, smart cities, social intelligence, sparse data, speech recognition, statistical model, stealth mode startup, stem cell, Stephen Hawking, Steve Jobs, Steve Wozniak, Steven Pinker, strong AI, superintelligent machines, synthetic biology, systems thinking, Ted Kaczynski, TED Talk, The Rise and Fall of American Growth, theory of mind, Thomas Bayes, Travis Kalanick, Turing test, universal basic income, Wall-E, Watson beat the top human players on Jeopardy!, women in the workforce, working-age population, workplace surveillance , zero-sum game, Zipcar

In 2017 he was named in the Time 100 list of the world’s most influential people, and in 2018 was awarded a CBE for services to science and technology. He was elected as a Fellow of the Royal Society, has been a recipient of the Society’s Mullard Award, and was also awarded an Honorary Doctorate by Imperial College London. Demis co-founded DeepMind along with Shane Legg and Mustafa Suleyman in 2010. DeepMind was acquired by Google in 2014 and is now part of Alphabet. In 2016 DeepMind’s AlphaGo system defeated Lee Sedol, arguably the world’s best player of the ancient game of Go. That match is chronicled in the documentary film AlphaGo (https://www.alphagomovie.com/). Chapter 9.

Lonely Planet Turkey (Travel Guide) by Lonely Planet, James Bainbridge, Brett Atkinson, Steve Fallon, Jessica Lee, Virginia Maxwell, Hugh McNaughtan, John Noble

British Empire, car-free, carbon footprint, country house hotel, Exxon Valdez, Kickstarter, megacity, Mustafa Suleyman, place-making, restrictive zoning, sensible shoes, sustainable-tourism, Thales and the olive presses, trade route, urban planning, urban renewal, urban sprawl, yield management, young professional

He proceeds to take Syria and Egypt, assuming the mantle of Caliph, then captures the holy cities of Mecca and Medina. 1520–66 The reign of Süleyman the Magnificent is the zenith of the Ottoman Empire. Süleyman leads his forces to take Budapest, Belgrade and Rhodes, doubling the empire's size. 1553 Mustafa, Süleyman's first-born, is strangled upon his father's orders. Allegedly, Süleyman's wife Roxelana conspired to have Mustafa killed so her own son could succeed to the throne. 1571 The Ottoman navy is destroyed at Lepanto by resurgent European powers who are in control of Atlantic and Indian Ocean trade routes, and who are experiencing the advances of the Renaissance. 1595–1603 Stay-at-home sultan, Mehmet III, has 19 brothers strangled to protect his throne.