But for thousands of years, people have done things like this—and things that make radioactive underpants seem downright sensible! In their hit podcast, Sawbones, Sydnee and Justin McElroy breakdown the weird and wonderful way we got to modern healthcare. And some of the terrifying detours along the way.Every week, Dr. Sydnee McElroy and her husband Justin amaze, amuse, and gross out (depending on the week) hundreds of thousands of avid listeners to their podcast, Sawbones. Consistently rated a top podcast on iTunes, with over 15 million total downloads, this rollicking journey through thousands of years of medical mishaps and miracles is not only hilarious but downright educational. While you may never even consider applying  boiled weasel to your forehead (once the height of sophistication when it came to headache cures), you will almost certainly face some questionable medical advice in your everyday life (we’re looking at you, raw water!) and be better able to figure out if this is a miracle cure (it’s not) or a scam. Table of Contents:Part One: The Unnerving The Resurrection Men Fun w Galvanism Weird Weight Loss Miracle Cure: Opium Black Plague Heroes of Misguided Medicine: Pliny the Elder Erectile Dysfunction The Doctor Is In: Listener Questions Answered Don’t Drill a Hole in Your HeadPart Two: The Gross Mummy Medicine The Guthole Bromance The Unkillable Phineas Gage Max Drank Poopy Water Heroes of Misguided Medicine: Robert Liston Golden Showers of Health Miracle Cure-All: Radium Dr. John Romulus Brinkley The Doctor Is In Q&A Just (Four) Humour Me The Camel Dung MiraclePart Three: The Weird The Dancing Plague Bad Medicine: Tobacco for Health The Seasick-Proof Saloon Miracle Cure-All: Vinegar The Doctor Is In Q&A Heroes of Misguided MedicinePart Four: The Awesome The Poison Squad Bad Medicine: Self Experimentation Eat Your Chocolate! Heroes of Misguided Medicine Parrot Fever Miracle Cure-All: Honey The Miraculous Polio Vaccine The Doctor Is In

    Clarke sounds a timely and chilling warning about America’s vulnerability in a terrifying new international conflict—Cyber War! Every concerned American should read this startling and explosive book that offers an insider’s view of White House ‘Situation Room’ operations and carries the reader to the frontlines of our cyber defense. Cyber War exposes a virulent threat to our nation’s security. This is no X-Files fantasy or conspiracy theory madness—this is real.

    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.

    If we started off with rudimentary utterances on the level of "man throw spear," how did we end up with sophisticated grammars, enormous vocabularies, and intricately nuanced degrees of meaning?Drawing on recent groundbreaking discoveries in modern linguistics, Deutscher exposes the elusive forces of creation at work in human communication, giving us fresh insight into how language emerges, evolves, and decays. He traces the evolution of linguistic complexity from an early "Me Tarzan" stage to such elaborate single-word constructions as the Turkish sehirlilestiremediklerimizdensiniz ("you are one of those whom we couldn't turn into a town dweller"). Arguing that destruction and creation in language are intimately entwined, Deutscher shows how these processes are continuously in operation, generating new words, new structures, and new meanings.

    No academic analysis or bystander’s account can capture it. Now Doug Edwards, Employee Number 59, offers the first inside view of Google, giving readers a chance to fully experience the bizarre mix of camaraderie and competition at this phenomenal company. Edwards, Google’s first director of marketing and brand management, describes it as it happened. We see the first, pioneering steps of Larry Page and Sergey Brin, the company’s young, idiosyncratic partners; the evolution of the company’s famously nonhierarchical structure (where every employee finds a problem to tackle or a feature to create and works independently); the development of brand identity; the races to develop and implement each new feature; and the many ideas that never came to pass. Above all, Edwards—a former journalist who knows how to write—captures the “Google Experience,” the rollercoaster ride of being part of a company creating itself in a whole new universe. I’m Feeling Lucky captures for the first time the unique, self-invented, yet profoundly important culture of the world’s most transformative corporation.

    Biological processes do not create consciousness. This conceptual breakthrough turns traditional scientific thinking upside down. In An End to Upside Down Thinking, Mark Gober traces his journey - he explores compelling scientific evidence from a diverse set of disciplines, ranging from psychic phenomena, to near-death experiences, to quantum physics. With cutting-edge thinkers like two-time Nobel Peace Prize nominee Dr. Ervin Laszlo, Chief Scientist at the Institute of Noetic Sciences Dr. Dean Radin, and New York Times bestselling author Larry Dossey, MD supporting this thesis, this book will rock the scientific community and mainstream generalists interested in understanding the true nature of reality. Today's disarray around the globe can be linked, at its core, to a fundamental misunderstanding of our reality. This book aims to shift our collective outlook, reshaping our view of human potential and how we treat one another. The book's implications encourage much-needed revisions in science, technology, and medicine. General readers will find comfort in the implied worldview, which will impact their happiness and everyday decisions related to business, health and politics. Stephen Hawking's A Brief History of Time meets Eckhart Tolle's The Power of Now.

    The Ultimate History of Video Games reveals everything you ever wanted to know and more about the unforgettable games that changed the world, the visionaries who made them, and the fanatics who played them. From the arcade to television and from the PC to the handheld device, video games have entraced kids at heart for nearly 30 years. And author and gaming historian Steven L. Kent has been there to record the craze from the very beginning.This engrossing book tells the incredible tale of how this backroom novelty transformed into a cultural phenomenon. Through meticulous research and personal interviews with hundreds of industry luminaries, you'll read firsthand accounts of how yesterday's games like Space Invaders, Centipede, and Pac-Man helped create an arcade culture that defined a generation, and how today's empires like Sony, Nintendo, and Electronic Arts have galvanized a multibillion-dollar industry and a new generation of games. Inside, you'll discover:·The video game that saved Nintendo from bankruptcy ·The serendipitous story of Pac-Man's design ·The misstep that helped topple Atari's $2 billion-a-year empire·The coin shortage caused by Space Invaders ·The fascinating reasons behind the rise, fall, and rebirth of Sega ·And much more! Entertaining, addictive, and as mesmerizing as the games it chronicles, this book is a must-have for anyone who's ever touched a joystick.

    How we address it in the next thirty years will determine the kind of world we will live in and will bequeath to our children and to theirs.In The Future We Choose, Christiana Figueres and Tom Rivett-Carnac--who led negotiations for the United Nations during the historic Paris Agreement of 2015--have written a cautionary but optimistic book about the world's changing climate and the fate of humanity.The authors outline two possible scenarios for our planet. In one, they describe what life on Earth will be like by 2050 if we fail to meet the Paris climate targets. In the other, they lay out what it will be like to live in a carbon neutral, regenerative world. They argue for confronting the climate crisis head-on, with determination and optimism. The Future We Choose presents our options and tells us what governments, corporations, and each of us can and must do to fend off disaster.

    Rise of the Machines reclaims the spectacular story of cybernetics, one of the twentieth century’s pivotal ideas.Springing from the mind of mathematician Norbert Wiener amid the devastation of World War II, the cybernetic vision underpinned a host of seductive myths about the future of machines. Cybernetics triggered blissful cults and military gizmos, the Whole Earth Catalog and the air force’s foray into virtual space, as well as crypto-anarchists fighting for internet freedom.In Rise of the Machines, Thomas Rid draws on unpublished sources—including interviews with hippies, anarchists, sleuths, and spies—to offer an unparalleled perspective into our anxious embrace of technology.

    In captivity, octopuses have been known to identify individual human keepers, raid neighboring tanks for food, turn off lightbulbs by spouting jets of water, plug drains, and make daring escapes. How is it that a creature with such gifts evolved through an evolutionary lineage so radically distant from our own? What does it mean that evolution built minds not once but at least twice? The octopus is the closest we will come to meeting an intelligent alien. What can we learn from the encounter?In Other Minds, Peter Godfrey-Smith, a distinguished philosopher of science and a skilled scuba diver, tells a bold new story of how subjective experience crept into being—how nature became aware of itself. As Godfrey-Smith stresses, it is a story that largely occurs in the ocean, where animals first appeared. Tracking the mind’s fitful development, Godfrey-Smith shows how unruly clumps of seaborne cells began living together and became capable of sensing, acting, and signaling. As these primitive organisms became more entangled with others, they grew more complicated. The first nervous systems evolved, probably in ancient relatives of jellyfish; later on, the cephalopods, which began as inconspicuous mollusks, abandoned their shells and rose above the ocean floor, searching for prey and acquiring the greater intelligence needed to do so. Taking an independent route, mammals and birds later began their own evolutionary journeys.But what kind of intelligence do cephalopods possess? Drawing on the latest scientific research and his own scuba-diving adventures, Godfrey-Smith probes the many mysteries that surround the lineage. How did the octopus, a solitary creature with little social life, become so smart? What is it like to have eight tentacles that are so packed with neurons that they virtually “think for themselves”? What happens when some octopuses abandon their hermit-like ways and congregate, as they do in a unique location off the coast of Australia?By tracing the question of inner life back to its roots and comparing human beings with our most remarkable animal relatives, Godfrey-Smith casts crucial new light on the octopus mind—and on our own.

    If we get it right it will make humans almost godlike. If we get it wrong... well, extinction is not the worst possible outcome.“Surviving AI” is a concise, easy-to-read guide to what's coming, taking you through technological unemployment (the economic singularity) and the possible creation of a superintelligence (the technological singularity).Here's what some of the leading thinkers in the field have to say about it:A sober and easy-to-read review of the risks and opportunities that humanity will face from AI. Jaan Tallinn – co-founder of Skype Understanding AI – its promise and its dangers – is emerging as one of the great challenges of coming decades and this is an invaluable guide to anyone who’s interested, confused, excited or scared. David Shukman – BBC Science Editor We have recently seen a surge in the volume of scholarly analysis of this topic; Chace impressively augments that with this high-quality, more general-audience discussion. Aubrey de Grey – CSO of SENS Research Foundation; former AI researcher It's rare to see a book about the potential End of the World that is fun to read without descending into sensationalism or crass oversimplification. Ben Goertzel – chairman of Novamente LLC Calum Chace is a prescient messenger of the risks and rewards of artificial intelligence. In “Surviving AI” he has identified the most essential issues and developed them with insight and wit – so that the very framing of the questions aids our search for answers. Chace’s sensible balance between AI’s promise and peril makes “Surviving AI” an excellent primer for anyone interested in what’s happening, how we got here, and where we are headed. Kenneth Cukier – co-author of “Big Data” If you’re not thinking about AI, you’re not thinking.  “Surviving AI” combines an essential grounding in the state of the art with a survey of scenarios that will be discussed with equal vigor at cocktail parties and academic colloquia. Chris Meyer – author of “Blur”, “It’s Alive”, and “Standing on the Sun” The appearance of Calum Chace's book is of some considerable personal satisfaction to me, because it signifies the fact that the level of social awareness of the rise of massively intelligent machines has finally reached the mainstream. If you want to survive the next few decades, you cannot afford NOT to read Chace's book. Prof. Dr. Hugo de Garis – former director of the Artificial Brain Lab, Xiamen University, China “Surviving AI” is an exceptionally clear, well-researched and balanced introduction to a complex and controversial topic, and is a compelling read to boot. Seán Ó hÉigeartaigh – executive director of Cambridge Centre for the Study of Existential Risk In “Surviving AI”, Calum Chace provides a marvellously accessible guide to the swirls of controversy that surround discussion of what is likely to be the single most important event in human history - the emergence of artificial super

    But what if everything we’ve been taught to believe about aging is wrong? What if we could choose our lifespan? In this groundbreaking book, Dr. David Sinclair, leading world authority on genetics and longevity, reveals a bold new theory for why we age. As he writes: “Aging is a disease, and that disease is treatable.” This book takes us to the frontlines of research many from Dr. David Sinclair’s own lab at Harvard—that demonstrate how we can slow down, or even reverse, aging. The key is activating newly discovered vitality genes, the descendants of an ancient genetic survival circuit that is both the cause of aging and the key to reversing it.

    He believes that we should investigate what makes some countries more capable than others. Complex products—from films to robots, apps to automobiles—are a physical distillation of an economy’s knowledge, a measurable embodiment of its education, infrastructure, and capability. Economic wealth accrues when applications of this knowledge turn ideas into tangible products; the more complex its products, the more economic growth a country will experience.A radical new interpretation of global economics, Why Information Grows overturns traditional assumptions about the development of economies and the origins of wealth and takes a crucial step toward making economics less the dismal science and more the insightful one.

    Unfortunately, people tend to be terrible forecasters. As Wharton professor Philip Tetlock showed in a landmark 2005 study, even experts’ predictions are only slightly better than chance. However, an important and underreported conclusion of that study was that some experts do have real foresight, and Tetlock has spent the past decade trying to figure out why. What makes some people so good? And can this talent be taught?   In Superforecasting, Tetlock and coauthor Dan Gardner offer a masterwork on prediction, drawing on decades of research and the results of a massive, government-funded forecasting tournament. The Good Judgment Project involves tens of thousands of ordinary people—including a Brooklyn filmmaker, a retired pipe installer, and a former ballroom dancer—who set out to forecast global events. Some of the volunteers have turned out to be astonishingly good. They’ve beaten other benchmarks, competitors, and prediction markets. They’ve even beaten the collective judgment of intelligence analysts with access to classified information. They are "superforecasters."   In this groundbreaking and accessible book, Tetlock and Gardner show us how we can learn from this elite group. Weaving together stories of forecasting successes (the raid on Osama bin Laden’s compound) and failures (the Bay of Pigs) and interviews with a range of high-level decision makers, from David Petraeus to Robert Rubin, they show that good forecasting doesn’t require powerful computers or arcane methods. It involves gathering evidence from a variety of sources, thinking probabilistically, working in teams, keeping score, and being willing to admit error and change course. Superforecasting offers the first demonstrably effective way to improve our ability to predict the future—whether in business, finance, politics, international affairs, or daily life—and is destined to become a modern classic.

    It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.In particular, Deep learning excels at solving machine perception problems: understanding the content of image data, video data, or sound data. Here's a simple example: say you have a large collection of images, and that you want tags associated with each image, for example, "dog," "cat," etc. Deep learning can allow you to create a system that understands how to map such tags to images, learning only from examples. This system can then be applied to new images, automating the task of photo tagging. A deep learning model only has to be fed examples of a task to start generating useful results on new data.