Bitcoin: the Future of Money?


Dominic Frisby - 2014
    Dominic Frisby has written a great account. Read it and glimpse into the future'—Sir Richard Branson In 2008, while the world was busy panicking about the global financial crisis, a computer programmer called Satoshi Nakamoto posted a message on an out-of-the-way mailing list. ‘I’ve been working on a new electronic cash system,’ he said. ‘It might make sense to get some just in case it catches on.’ Nobody seemed to care. But what he had programmed would become the world’s most famous alternative currency: Bitcoin. Economists, anarchists, speculators, computer coders, libertarians, criminals and entrepreneurs were inspired across the world. Early adopters would make a return two million times larger than their investment. Now it seems that Bitcoin will do to banking and finance what email did to the postal service and what the internet did to publishing: destroy old monopolies and create opportunities for the masses. Some even suggest that the technology behind Bitcoin will usurp our Western systems of representative democracy. In this gripping book, Dominic Frisby sets out to solve the mystery surrounding the identity of Bitcoin’s secretive creator, Satoshi Nakamoto. He shows how Bitcoin will change the world. And, perhaps most importantly of all, he does something nobody else has hitherto been able to do: he explains in layman’s language exactly how it works. 'The book’s outstanding, but the story it tells is even better.’ —Matt Ridley, The Times ‘In this highly readable yet technically accomplished book, Dominic Frisby makes crypto currencies crystal clear. Read it, or fail to understand possibly the most important financial innovation of our time.' —Liam Halligan, Sunday Telegraph 'Despite having an MSc in Computer Science and spending over ten years studying monetary theory, I ignored Bitcoin as hype for too long. You shouldn’t. Read Dominic’s thrilling book and discover the next big thing.’ —Steve Baker, MP

Mind Design II: Philosophy, Psychology, and Artificial Intelligence


John Haugeland - 1997
    Unlike traditional empirical psychology, it is more oriented toward the how than the what. An experiment in mind design is more likely to be an attempt to build something and make it work--as in artificial intelligence--than to observe or analyze what already exists. Mind design is psychology by reverse engineering.When Mind Design was first published in 1981, it became a classic in the then-nascent fields of cognitive science and AI. This second edition retains four landmark essays from the first, adding to them one earlier milestone (Turing's Computing Machinery and Intelligence) and eleven more recent articles about connectionism, dynamical systems, and symbolic versus nonsymbolic models. The contributors are divided about evenly between philosophers and scientists. Yet all are philosophical in that they address fundamental issues and concepts; and all are scientific in that they are technically sophisticated and concerned with concrete empirical research.ContributorsRodney A. Brooks, Paul M. Churchland, Andy Clark, Daniel C. Dennett, Hubert L. Dreyfus, Jerry A. Fodor, Joseph Garon, John Haugeland, Marvin Minsky, Allen Newell, Zenon W. Pylyshyn, William Ramsey, Jay F. Rosenberg, David E. Rumelhart, John R. Searle, Herbert A. Simon, Paul Smolensky, Stephen Stich, A.M. Turing, Timothy van Gelder

The Industries of the Future


Alec J. Ross - 2016
    In the next ten years, change will happen even faster. As Hillary Clinton's Senior Advisor for Innovation, Alec Ross travelled nearly a million miles to forty-one countries, the equivalent of two round-trips to the moon. From refugee camps in the Congo and Syrian war zones, to visiting the world's most powerful people in business and government, Ross's travels amounted to a four-year masterclass in the changing nature of innovation. In The Industries of the Future, Ross distils his observations on the forces that are changing the world. He highlights the best opportunities for progress and explains how countries thrive or sputter. Ross examines the specific fields that will most shape our economic future over the next ten years, including robotics, artificial intelligence, the commercialization of genomics, cybercrime and the impact of digital technology. Blending storytelling and economic analysis, he answers questions on how we will need to adapt. Ross gives readers a vivid and informed perspective on how sweeping global trends are affecting the ways we live, now and tomorrow.

Thinking Statistically


Uri Bram - 2011
    Along the way we’ll learn how selection bias can explain why your boss doesn’t know he sucks (even when everyone else does); how to use Bayes’ Theorem to decide if your partner is cheating on you; and why Mark Zuckerberg should never be used as an example for anything. See the world in a whole new light, and make better decisions and judgements without ever going near a t-test. Think. Think Statistically.

Biggest Secrets


William Poundstone - 1993
    Fields Cookies... What backward messages on records are really trying to tell you... Frank Sinatra's real age... Why you can't counterfeit a lottery ticket... Barbra Streisand's blue movie... The other Boy Scout rituals... Ingmar Bergman's soap commercials... The formula for Play-Doh... and more.

New Thinking: From Einstein to Artificial Intelligence, the Science and Technology that Transformed Our World


Dagogo Altraide - 2019
    Now, more than ever, it’s important to see how we got here. What hidden stories lie behind much of the technology we use today? What drove those who invented it to do so? What were those special moments that changed the world forever? New Thinking is the story of human innovation, the story of us―through war and peace, it is humanity at our most innovative.Disruptive technology and innovation: From the stories behind the steam engine revolution to the electric world of Tesla, to the first computers, to the invention of the internet and artificial intelligence, this book explores the hidden history of technology, discovering the secrets that have shaped our world. New Thinking brings you the stories of the men and women who thought in a new way to bring our world to where it is today.In New Thinking: The Technology and Science That Transformed Our World you will delight in learning and appreciating: How a technology can spawn a new technology, and how they influence each other How our modern world came to be Our incredible modern world and potential for the future If you've read books such as The Third Industrial Revolution, They Made America, or How We Got to Now, you're going to love New Thinking

How to Change Your Mind: What the New Science of Psychedelics


Zhivko - 2018
    

The Future of Everything: The Science of Prediction


David Orrell - 2006
    He asks how today's scientists can claim to predict future climate events when even three-day forecasts prove a serious challenge. Can we predict and control epidemics? Can we accurately foresee our financial future? Or will we only find out about tomorrow when tomorrow arrives?

On Freedom


Cass R. Sunstein - 2019
    He shows that freedom of choice isn't nearly enough. To be free, we must also be able to navigate life. People often need something like a GPS device to help them get where they want to go--whether the issue involves health, money, jobs, children, or relationships.In both rich and poor countries, citizens often have no idea how to get to their desired destination. That is why they are unfree. People also face serious problems of self-control, as many of them make decisions today that can make their lives worse tomorrow. And in some cases, we would be just as happy with other choices, whether a different partner, career, or place to live--which raises the difficult question of which outcome best promotes our well-being.Accessible and lively, and drawing on perspectives from the humanities, religion, and the arts, as well as social science and the law, On Freedom explores a crucial dimension of the human condition that philosophers and economists have long missed--and shows what it would take to make freedom real.

Digital Gold: Bitcoin and the Inside Story of the Misfits and Millionaires Trying to Reinvent Money


Nathaniel Popper - 2015
    Believers from Beijing to Buenos Aires see the potential for a financial system free from banks and governments. More than just a tech industry fad, Bitcoin has threatened to decentralize some of society’s most basic institutions.An unusual tale of group invention, Digital Gold charts the rise of the Bitcoin technology through the eyes of the movement’s colorful central characters, including an Argentinian millionaire, a Chinese entrepreneur, Tyler and Cameron Winklevoss, and Bitcoin’s elusive creator, Satoshi Nakamoto. Already, Bitcoin has led to untold riches for some, and prison terms for others.

Computer Age Statistical Inference: Algorithms, Evidence, and Data Science


Bradley Efron - 2016
    'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

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


George Zarkadakis - 2016
    He traces AI's origins in ancient myth, through literary classics like Frankenstein, to today's sci-fi blockbusters, arguing that a fascination with AI is hardwired into the human psyche. He explains AI's history, technology, and potential; its manifestations in intelligent machines; its connections to neurology and consciousness, as well as—perhaps most tellingly—what AI reveals about us as human beings.In Our Own Image argues that we are on the brink of a fourth industrial revolution—poised to enter the age of Artificial Intelligence as science fiction becomes science fact. Ultimately, Zarkadakis observes, the fate of AI has profound implications for the future of science and humanity itself.

Kings of Crypto: One Startup's Quest to Take Cryptocurrency Out of Silicon Valley and Onto Wall Street


Jeff John Roberts - 2020
    He turned to the audience and shared his idea with the simple slogan: "Coinbase, the easiest way to get started with Bitcoin."For a moment late in 2018, one Bitcoin, which physically amounts to a few electrons blipping on a tiny bit of silicon, was worth $20,000—the same as a pound of gold. Libertarian technologists who believed Bitcoin would be the foundation of a new world order saw the moment as an apotheosis. Everyone else saw a bubble. Everyone else was right, and the bubble burst. But Bitcoin survived, and the battle for its soul rages on. True believers view it as the foundation for a future economy freed from the vicissitudes of Wall Street and government control of currency. Pragmatists believe that bringing Bitcoin into the mainstream will, as the Silicon Valley cliche goes, make the world a better place. But they need buy-in from traditional institutional systems that can prevent the crypto world from devolving into the lawless criminal bazaar it was becoming during the bubble.Journalist Jeff John Roberts drops us into the unfolding drama as he follows the rise, fall, and rebirth of cryptocurrency through the experiences of major players across the globe. We follow Silicon Valley entrepreneur Brian Armstrong and his company, Coinbase, as it tries to make Bitcoin easy to use and available to all while fighting off hackers, thieves, and zealots. Roberts keenly observes the importance of leadership and strategy in the developing field of virtual currencies and what happens when these guardrails are missing. His ability to explain crypto technology clearly and lay out the ramifications of its infiltration into the global financial system makes this book a must-read for leaders in every industry. The amazing story—full of startup hijinks, shady investors, billionaire bros and their Lambos, closed-door meetings with Jamie Dimon, hacking (so much hacking!), Libertarian free-state utopias in New Hampshire, and the Winklevoss twins—make this a page turner that readers will love.

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


Pedro Domingos - 2015
    In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible.

AI Ethics


Mark Coeckelbergh - 2020
    AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues. Written by a philosopher of technology, AI Ethics goes beyond the usual hype and nightmare scenarios to address concrete questions.Mark Coeckelbergh describes influential AI narratives, ranging from Frankenstein's monster to transhumanism and the technological singularity. He surveys relevant philosophical discussions: questions about the fundamental differences between humans and machines and debates over the moral status of AI. He explains the technology of AI, describing different approaches and focusing on machine learning and data science. He offers an overview of important ethical issues, including privacy concerns, responsibility and the delegation of decision making, transparency, and bias as it arises at all stages of data science processes. He also considers the future of work in an AI economy. Finally, he analyzes a range of policy proposals and discusses challenges for policymakers. He argues for ethical practices that embed values in design, translate democratic values into practices and include a vision of the good life and the good society.