The world is more complex and volatile today than at any other time in our history. The tools of our modern existence are getting faster, cheaper, and smaller at an exponential rate, transforming every aspect of society, from business to culture and from the public sphere to our most private moments. The people who succeed will be the ones who learn to think differently. In Whiplash, Joi Ito and Jeff Howe distill that logic into nine organizing principles for navigating and surviving this tumultuous period: Emergence over AuthorityPull over PushCompasses over MapsRisk over SafetyDisobedience over CompliancePractice over TheoryDiversity over AbilityResilience over StrengthSystems over Objects Filled with incredible case studies and cutting-edge research and philosophies from the MIT Media Lab and beyond, Whiplash will help you adapt and succeed in this unpredictable world.

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

    Just to mention a few:Most unicorn founders had no industry experience;There's no disadvantage to being a solo founder or to being a non-technical CEO;Less than 15% went through any kind of accelerator program;Over half had strong competitors when starting--being first to market with an idea does not actually matter. You will also hear the stories of the early days of billion-dollar startups first-hand. The book includes exclusive interviews with the founders/investors of Zoom, Instacart, PayPal, Nest, Github, Flatiron Health, Kite Pharma, Facebook, Stripe, Airbnb, YouTube, LinkedIn, Lyft, DoorDash, Coinbase, and Square, venture capital investors like Elad Gil, Peter Thiel, Alfred Lin from Sequoia Capital and Keith Rabois of Founders Fund, as well as previously untold stories about the early days of ByteDance (TikTok), WhatsApp, Dropbox, Discord, DiDi, Flipkart, Instagram, Careem, Peloton, and SpaceX. Packed with counterintuitive insights and inside stories from people who have built massively successful companies, Super Founders is a paradigm-shifting and actionable guide for entrepreneurs, investors, and anyone interested in what makes a startup successful.

    There are updates throughout the book as well. These take into account important advances in cognitive psychology and the science of design while confirming and extending the book's basic thesis: that a physical symbol system has the necessary and sufficient means for intelligent action. The chapter "Economic Reality" has also been revised to reflect a change in emphasis in Simon's thinking about the respective roles of organizations and markets in economic systems."People sometimes ask me what they should read to find out about artificial intelligence. Herbert Simon's book The Sciences of the Artificial is always on the list I give them. Every page issues a challenge to conventional thinking, and the layman who digests it well will certainly understand what the field of artificial intelligence hopes to accomplish. I recommend it in the same spirit that I recommend Freud to people who ask about psychoanalysis, or Piaget to those who ask about child psychology: If you want to learn about a subject, start by reading its founding fathers." -- George A. Miller

    Brian Arthur puts forth the first complete theory of the origins and evolution of technology, in a major work that achieves for the invention of new technologies what Darwin’s theory achieved for the emergence of new species. Brian Arthur is a pioneer of complexity theory and the discoverer of the highly influential "theory of increasing returns," which took Silicon Valley by storm, famously explaining why some high-tech companies achieve breakaway success. Now, in this long-awaited and ground-breaking book, he solves the great outstanding puzzle of technology—where do transformative new technologies come from?—putting forth the first full theory of how new technologies emerge and offering a definitive answer to the mystery of why some cultures—Silicon Valley, Cambridge, England in the 1920s—are so extraordinarily inventive. He has discovered that rather than springing from insight moments of individual genius, new technologies arise in a process akin to evolution. Technology evolves by creating itself out of itself, much as a coral reef builds itself from activities of small organisms. Drawing on a wealth of examples, from the most ancient to cutting-edge inventions of today, Arthur takes readers on a delightful intellectual journey, bringing to life the wonders of this process of technological evolution. The Nature of Technology is the work of one of our greatest thinkers at the top of his game, composing a classic for our times that is sure to generate wide acclaim.

    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.

    Equally important to Silicon Valley's world-altering innovation are the language and ideas it uses to explain and justify itself. And often, those fancy new ideas are simply old motifs playing dress-up in a hoodie. From the myth of dropping out to the war cry of "disruption," Daub locates the Valley's supposedly original, radical thinking in the ideas of Heidegger and Ayn Rand, the New Age Esalen Foundation in Big Sur, and American traditions from the tent revival to predestination. Written with verve and imagination, What Tech Calls Thinking is an intellectual refutation of Silicon Valley's ethos, pulling back the curtain on the self-aggrandizing myths the Valley tells about itself.FSG Originals � Logic dissects the way technology functions in everyday lives. The titans of Silicon Valley, for all their utopian imaginings, never really had our best interests at heart: recent threats to democracy, truth, privacy, and safety, as a result of tech's reckless pursuit of progress, have shown as much. We present an alternate story, one that delights in capturing technology in all its contradictions and innovation, across borders and socioeconomic divisions, from history through the future, beyond platitudes and PR hype, and past doom and gloom. Our collaboration features four brief but provocative forays into the tech industry's many worlds, and aspires to incite fresh conversations about technology focused on nuanced and accessible explorations of the emerging tools that reorganize and redefine life today.

    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.

    Must reading for anyone in the high-tech industry, it is valuable, insightful guide to innovation management and marketing for any industry.

    Reprint. NYT.

    Weaving together his immersive interest in people and history with insights gathered from his own experiences, Stephen Wolfram gives an ennobling look at some of the individuals whose ideas and creations have helped shape our world today. Contents includes biographical sketches of: Richard Feynman Kurt Godel Alan Turing John von Neumann George Boole Ada Lovelace Gottfried Leibniz Benoit Mandelbrot Steve Jobs Marvin Minsky Russell Towle Bertrand Russell Alfred Whitehead Richard Crandall Srinivasa Ramanujan Solomon Golomb

    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.

    Hes also one of the most controversial CEOs in history, allegedly throwing epic tantrums, firing staff in elevators, and taking credit for other peoples achievements. So whats the real story? According to Leander Kahney, who has covered Jobs since the early 1990s as a reporter, editor, and book author, hes a fascinating bundle of contradictions. Hes an elitist who thinks most people are bozosbut he makes gadgets so easy to use, a bozo can master them. Hes a mercurial obsessive with a filthy temperbut he forges deep partnerships with creative geniuses like Steve Wozniak, Jonathan Ive, and John Lasseter. Hes a Buddhist and antimaterialistbut he produces mass-market products in Asian factories, and he promotes them with absolute mastery of the crassest medium, advertising. In short, Jobs has embraced the personality traits that some consider flawsnarcissism, perfectionism, total faith in his intuitionto lead Apple and Pixar to triumph against steep odds. And in the process, he has become a self-made billionaire. After interviewing more Apple insiders than any previous author, Kahney has distilled the principles that guide Jobs as he launches killer products, attracts fanatically loyal customers, and manages some of the worlds most powerful brands.

    His breaking of the German U-boat Enigma cipher in World War II ensured Allied-American control of the Atlantic. But Turing's vision went far beyond the desperate wartime struggle. Already in the 1930s he had defined the concept of the universal machine, which underpins the computer revolution. In 1945 he was a pioneer of electronic computer design. But Turing's true goal was the scientific understanding of the mind, brought out in the drama and wit of the famous "Turing test" for machine intelligence and in his prophecy for the twenty-first century.Drawn in to the cockpit of world events and the forefront of technological innovation, Alan Turing was also an innocent and unpretentious gay man trying to live in a society that criminalized him. In 1952 he revealed his homosexuality and was forced to participate in a humiliating treatment program, and was ever after regarded as a security risk. His suicide in 1954 remains one of the many enigmas in an astonishing life story.

    This must change to insure a capitalism that works for us all.In this scathing indictment of our current global financial system, The Value of Everything rigorously scrutinizes the way in which economic value has been determined and reveals how the difference between value creation and value extraction has become increasingly blurry. Mariana Mazzucato argues that this blurriness allowed certain actors in the economy to portray themselves as value creators, while in reality they were just moving existing value around or, even worse, destroying it.The book uses case studies - from Silicon Valley to the financial sector to big pharma - to show how the foggy notions of value create confusion between rents and profits, a difference that distorts the measurements of growth and GDP.The lesson here is urgent and sobering: to rescue our economy from the next, inevitable crisis and to foster long-term economic growth, we will need to rethink capitalism, rethink the role of public policy and the importance of the public sector, and redefine how we measure value in our society.