But its toxic effects on society are plain to see—feeding white nationalism, fueling hatred, endangering lives, and corroding our discourse on everything from sports to intelligence. Even well-intentioned people repeat stereotypes based on “science,” because cutting-edge genetics are hard to grasp—and all too easy to distort. Paradoxically, these misconceptions are multiplying even as scientists make unprecedented discoveries in human genetics—findings that, when accurately understood, are powerful evidence against racism. We’ve never had clearer answers about who we are and where we come from, but this knowledge is sorely needed in our casual conversations about race.How to Argue With a Racist emphatically dismantles outdated notions of race by illuminating what modern genetics actually can and can’t tell us about human difference. We now know that the racial categories still dividing us do not align with observable genetic differences. In fact, our differences are so minute that, most of all, they serve as evidence of our shared humanity.

    It is the Second Coming and the Apocalypse at the same time: Good AI versus evil AI." --John BrockmanMore than sixty years ago, mathematician-philosopher Norbert Wiener published a book on the place of machines in society that ended with a warning: "we shall never receive the right answers to our questions unless we ask the right questions.... The hour is very late, and the choice of good and evil knocks at our door."In the wake of advances in unsupervised, self-improving machine learning, a small but influential community of thinkers is considering Wiener's words again. In Possible Minds, John Brockman gathers their disparate visions of where AI might be taking us.The fruit of the long history of Brockman's profound engagement with the most important scientific minds who have been thinking about AI--from Alison Gopnik and David Deutsch to Frank Wilczek and Stephen Wolfram--Possible Minds is an ideal introduction to the landscape of crucial issues AI presents. The collision between opposing perspectives is salutary and exhilarating; some of these figures, such as computer scientist Stuart Russell, Skype co-founder Jaan Tallinn, and physicist Max Tegmark, are deeply concerned with the threat of AI, including the existential one, while others, notably robotics entrepreneur Rodney Brooks, philosopher Daniel Dennett, and bestselling author Steven Pinker, have a very different view. Serious, searching and authoritative, Possible Minds lays out the intellectual landscape of one of the most important topics of our time.

    The shift toward automation is about to create a tsunami of unemployment. Not in the distant future—now. One recent estimate predicts 45 million American workers will lose their jobs within the next twelve years—jobs that won't be replaced. In a future marked by restlessness and chronic unemployment, what will happen to American society? In The War on Normal People, Andrew Yang paints a dire portrait of the American economy. Rapidly advancing technologies like artificial intelligence, robotics and automation software are making millions of Americans' livelihoods irrelevant. The consequences of these trends are already being felt across our communities in the form of political unrest, drug use, and other social ills. The future looks dire-but is it unavoidable? In The War on Normal People, Yang imagines a different future—one in which having a job is distinct from the capacity to prosper and seek fulfillment. At this vision's core is Universal Basic Income, the concept of providing all citizens with a guaranteed income-and one that is rapidly gaining popularity among forward-thinking politicians and economists. Yang proposes that UBI is an essential step toward a new, more durable kind of economy, one he calls "human capitalism."

     Stretching between these figures is a cast of artists, writers, and scientists--mostly women, mostly queer--whose public contribution has risen out of their unclassifiable and often heartbreaking private relationships to change the way we understand, experience, and appreciate the universe. Among them are the astronomer Maria Mitchell, who paved the way for women in science; the sculptor Harriet Hosmer, who did the same in art; the journalist and literary critic Margaret Fuller, who sparked the feminist movement; and the poet Emily Dickinson.Emanating from these lives are larger questions about the measure of a good life and what it means to leave a lasting mark of betterment on an imperfect world: Are achievement and acclaim enough for happiness? Is genius? Is love? Weaving through the narrative is a set of peripheral figures--Ralph Waldo Emerson, Charles Darwin, Elizabeth Barrett Browning, Herman Melville, Frederick Douglass, Nathaniel Hawthorne, and Walt Whitman--and a tapestry of themes spanning music, feminism, the history of science, the rise and decline of religion, and how the intersection of astronomy, poetry, and Transcendentalist philosophy fomented the environmental movement.

    How do they do it? Why are they successful? And what keeps us falling for it, over and over again? These are the questions that journalist and psychologist Maria Konnikova tackles in her mesmerizing new book.   From multimillion-dollar Ponzi schemes to small-time frauds, Konnikova pulls together a selection of fascinating stories to demonstrate what all cons share in common, drawing on scientific, dramatic, and psychological perspectives. Insightful and gripping, the book brings readers into the world of the con, examining the relationship between artist and victim. The Confidence Game asks not only why we believe con artists, but also examines the very act of believing and how our sense of truth can be manipulated by those around us.

    Taking as territory everything from the Big Bang to the rise of civilization, Bryson seeks to understand how we got from there being nothing at all to there being us. To that end, he has attached himself to a host of the world’s most advanced (and often obsessed) archaeologists, anthropologists, and mathematicians, travelling to their offices, laboratories, and field camps. He has read (or tried to read) their books, pestered them with questions, apprenticed himself to their powerful minds. A Short History of Nearly Everything is the record of this quest, and it is a sometimes profound, sometimes funny, and always supremely clear and entertaining adventure in the realms of human knowledge, as only Bill Bryson can render it. Science has never been more involving or entertaining.

    Lieberman illuminates how these ongoing changes have brought many benefits, but also have created novel conditions to which our bodies are not entirely adapted, resulting in a growing incidence of obesity and new but avoidable diseases, including type-2 diabetes. He proposes that many of these chronic illnesses persist and in some cases are intensifying because of "dysevolution," a pernicious dynamic whereby only the symptoms rather than the causes of these maladies are treated. And finally—provocatively—he advocates the use of evolutionary information to help nudge, push, and sometimes oblige us to create a more salubrious environment.(With charts and line drawings throughout.)From the Hardcover edition.

    They distill more than 20 years of research and first-hand accounts from the most biodiverse ecosystems on Earth into straightforward principles and guidance for confronting our culture of hyper-novelty.For evolutionary biologists Heather Heying and Bret Weinstein, the cause of our woes is clear: the modern world is out of sync with our ancient brains and bodies. We evolved to live in clans, but today most people don't even know their neighbors' names. Differences between the sexes once served a necessary evolutionary purpose, but today many dismiss the concept of biological sex as offensive. The cognitive dissonance spawned by trying to live in a society we're not built for is killing us.

    This is our culture’s image of the perfect self. We see this person everywhere: in advertising, in the press, all over social media. We’re told that to be this person you just have to follow your dreams, that our potential is limitless, that we are the source of our own success. But this model of the perfect self can be extremely dangerous. People are suffering under the torture of this impossible fantasy. Unprecedented social pressure is leading to increases in depression and suicide. Where does this ideal come from? Why is it so powerful? Is there any way to break its spell? To answer these questions, Selfie by Will Storr takes us from the shores of Ancient Greece, through the Christian Middle Ages, to the self-esteem evangelists of 1980s California, the rise of narcissism and the selfie generation, and right up to the era of hyper-individualistic neoliberalism in which we live now. It tells the extraordinary story of the person we all know so intimately – our self.

    citizen recognized its ominous potential. Armed with clear evidence of computer espionage, he began a highly personal quest to expose a hidden network of spies that threatened national security. But would the authorities back him up? Cliff Stoll's dramatic firsthand account is "a computer-age detective story, instantly fascinating [and] astonishingly gripping" (Smithsonian). Cliff Stoll was an astronomer turned systems manager at Lawrence Berkeley Lab when a 75-cent accounting error alerted him to the presence of an unauthorized user on his system. The hacker's code name was "Hunter" -- a mysterious invader who managed to break into U.S. computer systems and steal sensitive military and security information. Stoll began a one-man hunt of his own: spying on the spy. It was a dangerous game of deception, broken codes, satellites, and missile bases -- a one-man sting operation that finally gained the attention of the CIA...and ultimately trapped an international spy ring fueled by cash, cocaine, and the KGB.

     You're told that if you "do what you love, you'll never work a day in your life." Whether it's working for "exposure" and "experience," or enduring poor treatment in the name of "being part of the family," all employees are pushed to make sacrifices for the privilege of being able to do what we love.In Work Won't Love You Back, Sarah Jaffe, a preeminent voice on labor, inequality, and social movements, examines this "labor of love" myth -- the idea that certain work is not really work, and therefore should be done out of passion instead of pay. Told through the lives and experiences of workers in various industries -- from the unpaid intern, to the overworked nurse, to the nonprofit worker and even the professional athlete -- Jaffe reveals how all of us have been tricked into buying into a new tyranny of work. As Jaffe argues, understanding the trap of the labor of love will empower us to work less and demand what our work is worth. And once freed from those binds, we can finally figure out what actually gives us joy, pleasure, and satisfaction.

    The result would be an unprecedented system of mass surveillance with the ability to pry into the private lives of every person on earth. Six years later, Snowden reveals for the very first time how he helped to build this system and why he was moved to expose it.Spanning the bucolic Beltway suburbs of his childhood and the clandestine CIA and NSA postings of his adulthood, Permanent Record is the extraordinary account of a bright young man who grew up online—a man who became a spy, a whistleblower, and, in exile, the Internet’s conscience. Written with wit, grace, passion, and an unflinching candor, Permanent Record is a crucial memoir of our digital age and destined to be a classic.

    With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it.Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains:Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details."-- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths."-- Tim Wolters, CTO, Collective Intellect

    This long-awaited revision contains changes throughout the text. There are new implementations of most of the major programming systems in the book, including the interpreters and compilers, and the authors have incorporated many small changes that reflect their experience teaching the course at MIT since the first edition was published. A new theme has been introduced that emphasizes the central role played by different approaches to dealing with time in computational models: objects with state, concurrent programming, functional programming and lazy evaluation, and nondeterministic programming. There are new example sections on higher-order procedures in graphics and on applications of stream processing in numerical programming, and many new exercises. In addition, all the programs have been reworked to run in any Scheme implementation that adheres to the IEEE standard.

     Once one of Silicon Valley’s greatest success stories, Facebook has been under constant fire for the past five years, roiled by controversies and crises. It turns out that while the tech giant was connecting the world, they were also mishandling users’ data, spreading fake news, and amplifying dangerous, polarizing hate speech. The company, many said, had simply lost its way. But the truth is far more complex. Leadership decisions enabled, and then attempted to deflect attention from, the crises. Time after time, Facebook’s engineers were instructed to create tools that encouraged people to spend as much time on the platform as possible, even as those same tools boosted inflammatory rhetoric, conspiracy theories, and partisan filter bubbles. And while consumers and lawmakers focused their outrage on privacy breaches and misinformation, Facebook solidified its role as the world’s most voracious data-mining machine, posting record profits, and shoring up its dominance via aggressive lobbying efforts. Drawing on their unrivaled sources, Sheera Frenkel and Cecilia Kang take readers inside the complex court politics, alliances and rivalries within the company to shine a light on the fatal cracks in the architecture of the tech behemoth. Their explosive, exclusive reporting led them to a shocking conclusion: The missteps of the last five years were not an anomaly but an inevitability—this is how Facebook was built to perform. In a period of great upheaval, growth has remained the one constant under the leadership of Mark Zuckerberg and Sheryl Sandberg. Both have been held up as archetypes of uniquely 21st century executives—he the tech “boy genius” turned billionaire, she the ultimate woman in business, an inspiration to millions through her books and speeches. But sealed off in tight circles of advisers and hobbled by their own ambition and hubris, each has stood by as their technology is coopted by hate-mongers, criminals and corrupt political regimes across the globe, with devastating consequences. In An Ugly Truth, they are at last held accountable.