according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog "AI Weirdness." She creates silly AIs that learn how to name paint colors, create the best recipes, and even flirt (badly) with humans--all to understand the technology that governs so much of our daily lives.We rely on AI every day for recommendations, for translations, and to put cat ears on our selfie videos. We also trust AI with matters of life and death, on the road and in our hospitals. But how smart is AI really, and how does it solve problems, understand humans, and even drive self-driving cars?Shane delivers the answers to every AI question you've ever asked, and some you definitely haven't--like, how can a computer design the perfect sandwich? What does robot-generated Harry Potter fan-fiction look like? And is the world's best Halloween costume really "Vampire Hog Bride"?In this smart, often hilarious introduction to the most interesting science of our time, Shane shows how these programs learn, fail, and adapt--and how they reflect the best and worst of humanity. You Look Like a Thing and I Love You is the perfect book for anyone curious about what the robots in our lives are thinking.

    He solidified his standing as the nation's foremost political forecaster with his near perfect prediction of the 2012 election. Silver is the founder and editor in chief of FiveThirtyEight.com. Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data. Most predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty. Both experts and laypeople mistake more confident predictions for more accurate ones. But overconfidence is often the reason for failure. If our appreciation of uncertainty improves, our predictions can get better too. This is the "prediction paradox": The more humility we have about our ability to make predictions, the more successful we can be in planning for the future.In keeping with his own aim to seek truth from data, Silver visits the most successful forecasters in a range of areas, from hurricanes to baseball, from the poker table to the stock market, from Capitol Hill to the NBA. He explains and evaluates how these forecasters think and what bonds they share. What lies behind their success? Are they good-or just lucky? What patterns have they unraveled? And are their forecasts really right? He explores unanticipated commonalities and exposes unexpected juxtapositions. And sometimes, it is not so much how good a prediction is in an absolute sense that matters but how good it is relative to the competition. In other cases, prediction is still a very rudimentary-and dangerous-science.Silver observes that the most accurate forecasters tend to have a superior command of probability, and they tend to be both humble and hardworking. They distinguish the predictable from the unpredictable, and they notice a thousand little details that lead them closer to the truth. Because of their appreciation of probability, they can distinguish the signal from the noise.

    Now he gathers the best of his best, updated and expanded upon, to guide readers on a mind-bending tour of the far frontier, and how these advances are radically transforming our lives. From the ways science and technology are fundamentally altering our bodies and our world (the world’s first bionic soldier, the future of evolution) to those explosive collisions between science and culture (life extension and bioweapons), we’re crossing moral and ethical lines we’ve never faced before.As Kotler writes, “Life is tricky sport—and that's the emotional core of this story, the real reason we can’t put Pandora back in the box. When you strip everything else away, technology is nothing more than the promise of an easier tomorrow. It’s the promise of hope. And how do you stop hope?”Join Kotler in this fascinating exploration of our incredible next: a deep dive into those future technologies happening now—and what it means to be a part of this brave new world.

    Since 2001, newspaper and music revenues have fallen by 70%, book publishing, film and television profits have also fallen dramatically. Revenues at Google in this same period grew from $400 million to $74.5 billion. Google's YouTube today controls 60% of the streaming audio business and pays only 11% of the streaming audio revenues. More creative content is being consumed than ever before, but less revenue is flowing to creators and owners of the content.With the reallocation of money to monopoly platforms comes a shift in power. Google, Facebook, and Amazon now enjoy political power on par with Big Oil and Big Pharma, which in part explains how such a tremendous shift in revenues from artists to platforms could have been achieved and why it has gone unchallenged for so long.The stakes in this story go far beyond the livelihood of any one musician or journalist. As Taplin observes, the fact that more and more Americans receive their news, music and other forms of entertainment from a small group of companies poses a real threat to democracy. Move Fast and Break Things offers a vital, forward-thinking prescription for how artists can reclaim their audiences using knowledge of the past and a determination to work together. Using his own half-century career as a music and film producer and early pioneer of streaming video online, Taplin offers new ways to think about the design of the World Wide Web and specifically the way we live with the firms that dominate it.Table of contentsIntroduction1. The Great Disruption2. Levon's Story3. Tech's Counterculture Roots4. The Libertarian Counterinsurgency5. Digital Destruction6. Monopoly in the Digital Age7. Google's Regulatory Capture8. The Social Media Revolution9. Pirates of the Internet10. Libertarian and the 1 Percent11. What It Means to Be Human12. The Digital RenaissanceAfterword

    After decades of sci-fi fantasies and hype, artificial intelligence has leapt out of research labs and Silicon Valley engineering departments and into the center of our lives. Algorithms shape everything around us, from the news we see to the products we buy and the relationships we form. And while the debate over whether or not automation will destroy jobs rages on, a much more important question is being ignored:What does it mean to be a human in a world that is increasingly built by and for machines?In Futureproof: 9 Rules for Humans in the Age of Automation, New York Times technology columnist Kevin Roose lays out a hopeful, pragmatic vision of how people can succeed in the machine age by making themselves irreplaceably human. He shares the secrets of people and organizations that have survived technological change, and explains how we can protect our own futures, with lessons like- Do work that is surprising, social, and scarce (the types of work machines can't do). - Demote your phone. - Work near other people. - Treat A.I. like an army of chimpanzees. - Add more friction to your life.Roose rejects the conventional wisdom that in order to compete with machines, we have to become more like them--hyper-efficient, data-driven, code-writing workhorses. Instead, he says, we should let machines be machines, and focus on doing the kinds of creative, inspiring, and meaningful things only humans can do.

    Kids typically no longer expect their lives to be better than their parents’ were. Dystopian scenarios loom ever larger in public consciousness as fisheries collapse, CO2 levels rise, and clouds of radioactive steam billow from “fail-safe” nuclear plants that failed. Despite the technological marvels of our age—or perhaps because of them—these are dark days.As comedian Louis C.K. put it, “Everything’s amazing, but nobody’s happy.”Even for the most fortunate among us, material abundance comes at a very high price. Facebook is a hollow replacement for face time. We produce more food than ever, but hunger and malnutrition are standard in most of the world while the rest of us stuff ourselves quite literally to death. Despair darkens ever more lives as rates of clinical depression and suicide continue their grim climb in the developed world. A third of all American children are obese or seriously overweight, and fifty four million of us are pre-diabetic. Pre-schoolers represent the fastest-growing market for anti-depressants, while the rate of increase of depression among children is over twenty percent, according to a recent Harvard study. Twenty four million American adults are thought to suffer from Post-Traumatic Stress Disorder—mostly attributable to the never-ending wars that have become part of modern life for the swelling underclass with few other employment opportunities.It’s common to wonder how an anthropologist from Mars would view our world or what sage advice an emissary from the future would bring back. But how would a time-traveler from our prehistoric past assess the lives we lead and the future prospects for the path we’re on? Such a visitor from 200 centuries ago would no doubt be impressed by much of what she found here. But once her amazement at iPhones, air travel, and liver transplants subsided, what would she make of our daily lives? Would she ultimately be more impressed by our advances or dismayed by what we’ve lost in our always accelerating rush toward the future?With faith in the future melting like an overheated glacier even as contentment with the present evaporates, it’s high time for a sober reassessment of the past. Ten thousand years since turning from the ancient path our ancestors trod forever, it’s time for a scientifically-informed, multidisciplinary look at the effects of this fateful divergence. It’s time to ask what may be the most subversive question of all: Are modern humans, even the most fortunate among us, living significantly better lives than our pre-civilized ancestors? Taken as a whole, is civilization a net gain for individual human beings?

    Now, two science professors give us the tools to dismantle misinformation and think clearly in a world of fake news and bad data.It's increasingly difficult to know what's true. Misinformation, disinformation, and fake news abound. Our media environment has become hyperpartisan. Science is conducted by press release. Startup culture elevates bullshit to high art. We are fairly well equipped to spot the sort of old-school bullshit that is based in fancy rhetoric and weasel words, but most of us don't feel qualified to challenge the avalanche of new-school bullshit presented in the language of math, science, or statistics. In Calling Bullshit, Professors Carl Bergstrom and Jevin West give us a set of powerful tools to cut through the most intimidating data.You don't need a lot of technical expertise to call out problems with data. Are the numbers or results too good or too dramatic to be true? Is the claim comparing like with like? Is it confirming your personal bias? Drawing on a deep well of expertise in statistics and computational biology, Bergstrom and West exuberantly unpack examples of selection bias and muddled data visualization, distinguish between correlation and causation, and examine the susceptibility of science to modern bullshit.We have always needed people who call bullshit when necessary, whether within a circle of friends, a community of scholars, or the citizenry of a nation. Now that bullshit has evolved, we need to relearn the art of skepticism.

    She ended up becoming so closely connected to Anonymous that the tricky story of her inside–outside status as Anon confidante, interpreter, and erstwhile mouthpiece forms one of the themes of this witty and entirely engrossing book.The narrative brims with details unearthed from within a notoriously mysterious subculture, whose semi-legendary tricksters—such as Topiary, tflow, Anachaos, and Sabu—emerge as complex, diverse, politically and culturally sophisticated people. Propelled by years of chats and encounters with a multitude of hackers, including imprisoned activist Jeremy Hammond and the double agent who helped put him away, Hector Monsegur, Hacker, Hoaxer, Whistleblower, Spy is filled with insights into the meaning of digital activism and little understood facets of culture in the Internet age, including the history of “trolling,” the ethics and metaphysics of hacking, and the origins and manifold meanings of “the lulz.”

    It is a ‘ must’ book for those in every branch of science . . . in addition, economists, politicians, statesmen, and businessmen cannot afford to overlook cybernetics and its tremendous, even terrifying implications. "It is a beautifully written book, lucid, direct, and despite its complexity, as readable by the layman as the trained scientist." -- John B. Thurston, "The Saturday Review of Literature" Acclaimed one of the "seminal books . . . comparable in ultimate importance to . . . Galileo or Malthus or Rousseau or Mill," "Cybernetics" was judged by twenty-seven historians, economists, educators, and philosophers to be one of those books published during the "past four decades", which may have a substantial impact on public thought and action in the years ahead." -- Saturday Review

    Based on her work at the Santa Fe Institute and drawing on its interdisciplinary strategies, Mitchell brings clarity to the workings of complexity across a broad range of biological, technological, and social phenomena, seeking out the general principles or laws that apply to all of them. Richly illustrated, Complexity: A Guided Tour--winner of the 2010 Phi Beta Kappa Book Award in Science--offers a wide-ranging overview of the ideas underlying complex systems science, the current research at the forefront of this field, and the prospects for its contribution to solving some of the most important scientific questions of our time.

    Albert-László Barabási, the nation’s foremost expert in the new science of networks and author of Bursts, takes us on an intellectual adventure to prove that social networks, corporations, and living organisms are more similar than previously thought. Grasping a full understanding of network science will someday allow us to design blue-chip businesses, stop the outbreak of deadly diseases, and influence the exchange of ideas and information. Just as James Gleick and the Erdos–Rényi model brought the discovery of chaos theory to the general public, Linked tells the story of the true science of the future and of experiments in statistical mechanics on the internet, all vital parts of what would eventually be called the Barabási–Albert model.

    How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions.And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.

    “Big data” refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior.In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing.www.big-data-book.com

    Years earlier, in the wake of the financial crisis of 2008, a global hi-tech uprising has birthed a post-capitalist world in which work, money, land, digital networks and politics have been truly democratised.In a thought-experiment of startling originality, world-famous economist Yanis Varoufakis offers a glimpse of this alternative reality. Through the eyes of three characters - a libertarian ex-banker, a Marxist-feminist and a maverick technologist - we see the genesis of a world without commercial banks or stock markets, where companies are owned equally by all staff, basic income is guaranteed, global imbalances and climate change cancel each other out, and housing is socialised.Is a liberal socialism feasible? Can prosperity grow without costing the Earth? Are we able to build the good society, despite our flaws?As radical in its form as in its vision, Another Now blends Platonic dialogue with speculative fiction to show that there is an alternative to capitalism, while also confronting us with the greatest question: how far are we willing to go to bring it about?

    Taking us on a journey through every fundamental field of science, as well as the history of civilization, art, moral values, and the theory of political institutions, Deutsch tracks how we form new explanations and drop bad ones, explaining the conditions under which progress—which he argues is potentially boundless—can and cannot happen. Hugely ambitious and highly original, The Beginning of Infinity explores and establishes deep connections between the laws of nature, the human condition, knowledge, and the possibility for progress.