In this witty, often terrifying work of cultural criticism, the author of Amusing Ourselves to Death chronicles our transformation into a Technopoly: a society that no longer merely uses technology as a support system but instead is shaped by it--with radical consequences for the meanings of politics, art, education, intelligence, and truth.

    It used to be that to diagnose an illness, interpret legal documents, analyze foreign policy, or write a newspaper article you needed a human being with specific skills—and maybe an advanced degree or two. These days, high-level tasks are increasingly being handled by algorithms that can do precise work not only with speed but also with nuance. These “bots” started with human programming and logic, but now their reach extends beyond what their creators ever expected. In this fascinating, frightening book, Christopher Steiner tells the story of how algorithms took over—and shows why the “bot revolution” is about to spill into every aspect of our lives, often silently, without our knowledge. The May 2010 “Flash Crash” exposed Wall Street’s reliance on trading bots to the tune of a 998-point market drop and $1 trillion in vanished market value. But that was just the beginning. In Automate This, we meet bots that are driving cars, penning haiku, and writing music mistaken for Bach’s. They listen in on our customer service calls and figure out what Iran would do in the event of a nuclear standoff. There are algorithms that can pick out the most cohesive crew of astronauts for a space mission or identify the next Jeremy Lin. Some can even ingest statistics from baseball games and spit out pitch-perfect sports journalism indistinguishable from that produced by humans. The interaction of man and machine can make our lives easier. But what will the world look like when algorithms control our hospitals, our roads, our culture, and our national security? What hap­pens to businesses when we automate judgment and eliminate human instinct? And what role will be left for doctors, lawyers, writers, truck drivers, and many others?  Who knows—maybe there’s a bot learning to do your job this minute.

    We've begun to fall back in love with the very analog goods and ideas the tech gurus insisted that we no longer needed. Businesses that once looked outdated, from film photography to brick-and-mortar retail, are now springing with new life. Notebooks, records, and stationery have become cool again. Behold the Revenge of Analog. David Sax has uncovered story after story of entrepreneurs, small business owners, and even big corporations who've found a market selling not apps or virtual solutions but real, tangible things. As e-books are supposedly remaking reading, independent bookstores have sprouted up across the country. As music allegedly migrates to the cloud, vinyl record sales have grown more than ten times over the past decade. Even the offices of tech giants like Google and Facebook increasingly rely on pen and paper to drive their brightest ideas. Sax's work reveals a deep truth about how humans shop, interact, and even think. Blending psychology and observant wit with first-rate reportage, Sax shows the limited appeal of the purely digital life-and the robust future of the real world outside it.

    Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical detail with intuitive explanations, Complex Adaptive Systems focuses on the key tools and ideas that have emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems. It provides a detailed introduction to concepts such as emergence, self-organized criticality, automata, networks, diversity, adaptation, and feedback. It also demonstrates how complex adaptive systems can be explored using methods ranging from mathematics to computational models of adaptive agents. John Miller and Scott Page show how to combine ideas from economics, political science, biology, physics, and computer science to illuminate topics in organization, adaptation, decentralization, and robustness. They also demonstrate how the usual extremes used in modeling can be fruitfully transcended.

    To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok.In the first-ever account of Bayes' rule for general readers, Sharon Bertsch McGrayne explores this controversial theorem and the human obsessions surrounding it. She traces its discovery by an amateur mathematician in the 1740s through its development into roughly its modern form by French scientist Pierre Simon Laplace. She reveals why respected statisticians rendered it professionally taboo for 150 years—at the same time that practitioners relied on it to solve crises involving great uncertainty and scanty information (Alan Turing's role in breaking Germany's Enigma code during World War II), and explains how the advent of off-the-shelf computer technology in the 1980s proved to be a game-changer. Today, Bayes' rule is used everywhere from DNA de-coding to Homeland Security.Drawing on primary source material and interviews with statisticians and other scientists, The Theory That Would Not Die is the riveting account of how a seemingly simple theorem ignited one of the greatest controversies of all time.

    But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future.But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.When AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions under uncertainty. Our businesses and personal lives are riddled with such decisions. Prediction tools increase productivity--operating machines, handling documents, communicating with customers. Uncertainty constrains strategy. Better prediction creates opportunities for new business structures and strategies to compete. Penetrating, fun, and always insightful and practical, Prediction Machines follows its inescapable logic to explain how to navigate the changes on the horizon. The impact of AI will be profound, but the economic framework for understanding it is surprisingly simple.

    Can this young upstart money challenge the global monetary order? Economist Saifedean Ammous traces the history of the technologies of money to seashells, limestones, cattle, salt, beads, metals, and government debt, explaining what gave these technologies their monetary role, what makes for sound money, and the benefits of a sound monetary regime to economic growth, innovation, culture, trade, individual freedom, and international peace.The monetary and historical analysis sets the stage for understanding the mechanics of the operation of Bitcoin, the reasons for its initial success, and the role it could play in an information economy. Rather than serving as a currency and network for consumer purchases, the author argues Bitcoin is better suited as a store of value and network for settlement between large financial institutions. With an automated and perfectly predictable monetary policy, and the ability to perform final settlement of large sums across the world in a matter of minutes, Bitcoin's true importance may just lie in providing a decentralized, neutral, free-market alternative to national central banks.

    Never before have the cultural powers- that-be been able to exert such control over what we can and can't do with the culture around us. Our society defends free markets and free speech; why then does it permit such top-down control? To lose our long tradition of free culture, Lawrence Lessig shows us, is to lose our freedom to create, our freedom to build, and, ultimately, our freedom to imagine.

    Yet in The Science of Interstellar, Kip Thorne, the physicist who assisted Nolan on the scientific aspects of Interstellar, shows us that the movie’s jaw-dropping events and stunning, never-before-attempted visuals are grounded in real science. Thorne shares his experiences working as the science adviser on the film and then moves on to the science itself. In chapters on wormholes, black holes, interstellar travel, and much more, Thorne’s scientific insights—many of them triggered during the actual scripting and shooting of Interstellar—describe the physical laws that govern our universe and the truly astounding phenomena that those laws make possible.Interstellar and all related characters and elements are trademarks of and © Warner Bros. Entertainment Inc. (s14).

    Bannon had long sensed that deep within America's soul lurked an explosive tension. Cambridge Analytica had the data to prove it, and in 2016 Bannon had a presidential campaign to use as his proving ground.Christopher Wylie might have seemed an unlikely figure to be at the center of such an operation. Canadian and liberal in his politics, he was only twenty-four when he got a job with a London firm that worked with the U.K. Ministry of Defense and was charged putatively with helping to build a team of data scientists to create new tools to identify and combat radical extremism online. In short order, those same military tools were turned to political purposes, and Cambridge Analytica was born. Wylie's decision to become a whistleblower prompted the largest data crime investigation in history. His story is both exposé and dire warning about a sudden problem born of very new and powerful capabilities. It has not only exposed the profound vulnerabilities and profound carelessness in the enormous companies that drive the attention economy, it has also exposed the profound vulnerabilities of democracy itself. What happened in 2016 was just a trial run. Ruthless actors are coming for your data, and they want to control what you think.

    However, according to Hofstadter, the formal system that underlies all mental activity transcends the system that supports it. If life can grow out of the formal chemical substrate of the cell, if consciousness can emerge out of a formal system of firing neurons, then so too will computers attain human intelligence. Gödel, Escher, Bach is a wonderful exploration of fascinating ideas at the heart of cognitive science: meaning, reduction, recursion, and much more.

    will mean for us, it also forces readers to challenge their preconceptions. And it manages to do all this in a way that is both entertaining and engaging.” —The New York Times As we approach a great turning point in history when technology is poised to redefine what it means to be human, The Fourth Age offers fascinating insight into AI, robotics, and their extraordinary implications for our species.In The Fourth Age, Byron Reese makes the case that technology has reshaped humanity just three times in history: - 100,000 years ago, we harnessed fire, which led to language. - 10,000 years ago, we developed agriculture, which led to cities and warfare. - 5,000 years ago, we invented the wheel and writing, which lead to the nation state. We are now on the doorstep of a fourth change brought about by two technologies: AI and robotics. The Fourth Age provides extraordinary background information on how we got to this point, and how—rather than what—we should think about the topics we’ll soon all be facing: machine consciousness, automation, employment, creative computers, radical life extension, artificial life, AI ethics, the future of warfare, superintelligence, and the implications of extreme prosperity. By asking questions like “Are you a machine?” and “Could a computer feel anything?”, Reese leads you through a discussion along the cutting edge in robotics and AI, and, provides a framework by which we can all understand, discuss, and act on the issues of the Fourth Age, and how they’ll transform humanity.

    . . It takes a skillful journalist to weave data and anecdotes together so effectively." —Carolyn Kellogg, Los Angeles TimesAn award-winning journalist investigates Amazon’s impact on the wealth and poverty of towns and cities across the United States.In 1937, the famed writer and activist Upton Sinclair published a novel bearing the subtitle A Story of Ford-America. He blasted the callousness of a company worth “a billion dollars” that underpaid its workers while forcing them to engage in repetitive and sometimes dangerous assembly line labor. Eighty-three years later, the market capitalization of Amazon.com has exceeded one trillion dollars, while the value of the Ford Motor Company hovers around thirty billion. We have, it seems, entered the age of one-click America—and as the coronavirus makes Americans more dependent on online shopping, its sway will only intensify.Alec MacGillis’s Fulfillment is not another inside account or exposé of our most conspicuously dominant company. Rather, it is a literary investigation of the America that falls within that company’s growing shadow. As MacGillis shows, Amazon’s sprawling network of delivery hubs, data centers, and corporate campuses epitomizes a land where winner and loser cities and regions are drifting steadily apart, the civic fabric is unraveling, and work has become increasingly rudimentary and isolated.Ranging across the country, MacGillis tells the stories of those who’ve thrived and struggled to thrive in this rapidly changing environment. In Seattle, high-paid workers in new office towers displace a historic black neighborhood. In suburban Virginia, homeowners try to protect their neighborhood from the environmental impact of a new data center. Meanwhile, in El Paso, small office supply firms seek to weather Amazon’s takeover of government procurement, and in Baltimore a warehouse supplants a fabled steel plant. Fulfillment also shows how Amazon has become a force in Washington, D.C., ushering readers through a revolving door for lobbyists and government contractors and into CEO Jeff Bezos’s lavish Kalorama mansion.With empathy and breadth, MacGillis demonstrates the hidden human costs of the other inequality—not the growing gap between rich and poor, but the gap between the country’s winning and losing regions. The result is an intimate account of contemporary capitalism: its drive to innovate, its dark, pitiless magic, its remaking of America with every click.

    With boundless erudition and in delightfully clear prose, Surowiecki ranges across fields as diverse as popular culture, psychology, ant biology, behavioral economics, artificial intelligence, military history, and politics to show how this simple idea offers important lessons for how we live our lives, select our leaders, run our companies, and think about our world.

    Babies were plentiful, workers outnumbered retirees, and people aspiring towards the middle class yearned to own homes and cars. Companies didn't need to see any further than Europe and the United States to do well. Printed money was legal tender for all debts, public and private. We grew up learning how to "play the game," and we expected the rules to remain the same as we took our first job, started a family, saw our children grow up, and went into retirement with our finances secure.That world—and those rules—are over.By 2030, a new reality will take hold, and before you know it:- There will be more grandparents than grandchildren- The middle-class in Asia and Sub-Saharan Africa will outnumber the US and Europe combined- The global economy will be driven by the non-Western consumer for the first time in modern history- There will be more global wealth owned by women than men- There will be more robots than workers- There will be more computers than human brains- There will be more currencies than countriesAll these trends, currently underway, will converge in the year 2030 and change everything you know about culture, the economy, and the world.According to Mauro F. Guillen, the only way to truly understand the global transformations underway—and their impacts—is to think laterally. That is, using “peripheral vision,” or approaching problems creatively and from unorthodox points of view. Rather than focusing on a single trend—climate-change or the rise of illiberal regimes, for example—Guillen encourages us to consider the dynamic inter-play between a range of forces that will converge on a single tipping point—2030—that will be, for better or worse, the point of no return.2030 is both a remarkable guide to the coming changes and an exercise in the power of “lateral thinking,” thereby revolutionizing the way you think about cataclysmic change and its consequences.