Paradoxically, just as such demands seem as elusive as ever at a political level, they are becoming encoded into the very technological foundations of neoliberalism. Srnicek examines technologies such as automated logistics, cybernetic planning, and additive manufacturing in order to re-interpret older debates about worker control over the means of production, the 'fetters' of capitalist development, and situationist concepts of détournement. In so doing, the foundations and future of neoliberalism are brought under intense scrutiny.

    From that modest beginning, container shipping developed into a huge industry that made the boom in global trade possible. "The Box" tells the dramatic story of the container's creation, the decade of struggle before it was widely adopted, and the sweeping economic consequences of the sharp fall in transportation costs that containerization brought about.Published on the fiftieth anniversary of the first container voyage, this is the first comprehensive history of the shipping container. It recounts how the drive and imagination of an iconoclastic entrepreneur, Malcom McLean, turned containerization from an impractical idea into a massive industry that slashed the cost of transporting goods around the world and made the boom in global trade possible.But the container didn't just happen. Its adoption required huge sums of money, both from private investors and from ports that aspired to be on the leading edge of a new technology. It required years of high-stakes bargaining with two of the titans of organized labor, Harry Bridges and Teddy Gleason, as well as delicate negotiations on standards that made it possible for almost any container to travel on any truck or train or ship. Ultimately, it took McLean's success in supplying U.S. forces in Vietnam to persuade the world of the container's potential.Drawing on previously neglected sources, economist Marc Levinson shows how the container transformed economic geography, devastating traditional ports such as New York and London and fueling the growth of previously obscure ones, such as Oakland. By making shipping so cheap that industry could locate factories far from its customers, the container paved the way for Asia to become the world's workshop and brought consumers a previously unimaginable variety of low-cost products from around the globe.

    He had mentored many tech leaders in his illustrious career as an investor, but few things had made him prouder, or been better for his fund's bottom line, than his early service to Mark Zuckerberg. Still a large shareholder in Facebook, he had every good reason to stay on the bright side. Until he simply couldn't. ZUCKED is McNamee's intimate reckoning with the catastrophic failure of the head of one of the world's most powerful companies to face up to the damage he is doing. It's a story that begins with a series of rude awakenings. First there is the author's dawning realization that the platform is being manipulated by some very bad actors. Then there is the even more unsettling realization that Zuckerberg and Sheryl Sandberg are unable or unwilling to share his concerns, polite as they may be to his face."

    Jill Lepore, best-selling author of These Truths, came across the company’s papers in MIT’s archives and set out to tell this forgotten history, the long-lost backstory to the methods, and the arrogance, of Silicon Valley.Founded in 1959 by some of the nation’s leading social scientists—“the best and the brightest, fatally brilliant, Icaruses with wings of feathers and wax, flying to the sun”—Simulmatics proposed to predict and manipulate the future by way of the computer simulation of human behavior. In summers, with their wives and children in tow, the company’s scientists met on the beach in Long Island under a geodesic, honeycombed dome, where they built a “People Machine” that aimed to model everything from buying a dishwasher to counterinsurgency to casting a vote. Deploying their “People Machine” from New York, Washington, Cambridge, and even Saigon, Simulmatics’ clients included the John F. Kennedy presidential campaign, the New York Times, the Department of Defense, and dozens of major manufacturers: Simulmatics had a hand in everything from political races to the Vietnam War to the Johnson administration’s ill-fated attempt to predict race riots. The company’s collapse was almost as rapid as its ascent, a collapse that involved failed marriages, a suspicious death, and bankruptcy. Exposed for false claims, and even accused of war crimes, it closed its doors in 1970 and all but vanished. Until Lepore came across the records of its remains.The scientists of Simulmatics believed they had invented “the A-bomb of the social sciences.” They did not predict that it would take decades to detonate, like a long-buried grenade. But, in the early years of the twenty-first century, that bomb did detonate, creating a world in which corporations collect data and model behavior and target messages about the most ordinary of decisions, leaving people all over the world, long before the global pandemic, crushed by feelings of helplessness. This history has a past; If Then is its cautionary tale.

    By following the recommendations of the Association of Computing Machinery's Java Task Force, this first edition text adopts a modern objects-first approach that introduces readers to useful hierarchies from the very beginning.KEY TOPICS: Introduction; Programming by Example; Expressions; Statement Forms; Methods; Objects and Classes; Objects and Memory; Strings and Characters; Object-Oriented Graphics; Event-Driven Programs; Arrays and ArrayLists; Searching and Sorting; Collection Classes; Looking Ahead.MARKET: A modern objects-first approach to the Java programming language that introduces readers to useful class hierarchies from the very beginning.

    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.

    Since its introduction in 1978, this book has charted and followed this volatile world of financial markets. Charles Kindleberger's brilliant, panoramic history revealed how financial crises follow a nature-like rhythm: they peak and purge, swell and storm. Now this newly revised and expanded Fourth Edition probes the most recent "natural disasters" of the markets--from the difficulties in East Asia and the repercussions of the Mexican crisis to the 1992 Sterling crisis. His sharply drawn history confronts a host of key questions. Charles P. Kindleberger (Boston, MA) was the Ford Professor of Economics at MIT for thirty-three years. He is a financial historian and prolific writer who has published over twenty-four books.

    No other investor--Warren Buffett, Peter Lynch, Ray Dalio, Steve Cohen, or George Soros--can touch his record. Since 1988, Renaissance's signature Medallion fund has generated average annual returns of 66 percent. The firm has earned profits of more than $100 billion; Simons is worth twenty-three billion dollars.Drawing on unprecedented access to Simons and dozens of current and former employees, Zuckerman, a veteran Wall Street Journal investigative reporter, tells the gripping story of how a world-class mathematician and former code breaker mastered the market. Simons pioneered a data-driven, algorithmic approach that's sweeping the world.As Renaissance became a market force, its executives began influencing the world beyond finance. Simons became a major figure in scientific research, education, and liberal politics. Senior executive Robert Mercer is more responsible than anyone else for the Trump presidency, placing Steve Bannon in the campaign and funding Trump's victorious 2016 effort. Mercer also impacted the campaign behind Brexit.The Man Who Solved the Market is a portrait of a modern-day Midas who remade markets in his own image, but failed to anticipate how his success would impact his firm and his country. It's also a story of what Simons's revolution means for the rest of us.

    Darrell Huff runs the gamut of every popularly used type of statistic, probes such things as the sample study, the tabulation method, the interview technique, or the way the results are derived from the figures, and points up the countless number of dodges which are used to fool rather than to inform.

    The stakes could not be higher: a global architecture of behavior modification threatens human nature in the twenty-first century just as industrial capitalism disfigured the natural world in the twentieth.Zuboff vividly brings to life the consequences as surveillance capitalism advances from Silicon Valley into every economic sector. Vast wealth and power are accumulated in ominous new "behavioral futures markets," where predictions about our behavior are bought and sold, and the production of goods and services is subordinated to a new "means of behavioral modification."The threat has shifted from a totalitarian Big Brother state to a ubiquitous digital architecture: a "Big Other" operating in the interests of surveillance capital. Here is the crucible of an unprecedented form of power marked by extreme concentrations of knowledge and free from democratic oversight. Zuboff's comprehensive and moving analysis lays bare the threats to twenty-first century society: a controlled "hive" of total connection that seduces with promises of total certainty for maximum profit--at the expense of democracy, freedom, and our human future.With little resistance from law or society, surveillance capitalism is on the verge of dominating the social order and shaping the digital future--if we let it.Table of contentsINTRODUCTION1. Home or exile in the digital futureI. THE FOUNDATIONS OF SURVEILLANCE CAPITALISM2. August 9, 2011: Setting the stage for Surveillance Capitalism3. The discovery of behavioral surplus4. The moat around the castle5. The elaboration of Surveillance Capitalism: Kidnap, corner, compete6. Hijacked: The division of learning in societyII. THE ADVANCE OF SURVEILLANCE CAPITALISM7. The reality business8. Rendition: From experience to data9. Rendition from the depths10. Make them dance11. The right to the future tenseIII. INSTRUMENTARIAN POWER FOR A THIRD MODERNITY12. Two species of power13. Big Other and the rise of instrumentarian power14. A utopia of certainty15, The instrumentarian collective16. Of life in the hive17. The right to sanctuaryCONCLUSION18. A coup from aboveAcknowledgementsAbout the authorDetailed table of contentsNotesIndex

    What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of new activities and familiar favorites is the most fulfilling? These may seem like uniquely human quandaries, but they are not: computers, too, face the same constraints, so computer scientists have been grappling with their version of such issues for decades. And the solutions they've found have much to teach us.In a dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the algorithms used by computers can also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

    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.

    This is a ride on the Google wave, and the fullest account of how it formed and crashed into traditional media businesses. With unprecedented access to Google's founders and executives, as well as to those in media who are struggling to keep their heads above water, Ken Auletta reveals how the industry is being disrupted and redefined.Auletta goes inside Google's closed-door meetings, introducing Google's notoriously private founders, Larry Page and Sergey Brin, as well as those who work with - and against - them. In Googled, the reader discovers the 'secret sauce' of the company's success and why the worlds of 'new' and 'old' media often communicate as if residents of different planets. It may send chills down traditionalists' spines, but it's a crucial roadmap to the future of media business: the Google story may well be the canary in the coal mine.Googled is candid, objective and authoritative. Crucially, it's not just a history or reportage: it's ahead of the curve and unlike any other Google books, which tend to have been near-histories, somewhat starstruck, now out of date or which fail to look at the full synthesis of business and technology.

    Who are these people, what motivates them, and why should you care?Consider these facts: Everything around us is turning into computers. Your typewriter is gone, replaced by a computer. Your phone has turned into a computer. So has your camera. Soon your TV will. Your car was not only designed on computers, but has more processing power in it than a room-sized mainframe did in 1970. Letters, encyclopedias, newspapers, and even your local store are being replaced by the Internet.Hackers & Painters: Big Ideas from the Computer Age, by Paul Graham, explains this world and the motivations of the people who occupy it. In clear, thoughtful prose that draws on illuminating historical examples, Graham takes readers on an unflinching exploration into what he calls “an intellectual Wild West.”The ideas discussed in this book will have a powerful and lasting impact on how we think, how we work, how we develop technology, and how we live. Topics include the importance of beauty in software design, how to make wealth, heresy and free speech, the programming language renaissance, the open-source movement, digital design, internet startups, and more.

    We're going to do that by introducing you to Example.com, where you're going to start a new job as one of its SysAdmins. The first project you'll be in charge of is developing its new log management solution. We'll teach you how to:* Install and deploy LogStash.* Ship events from a LogStash Shipper to a central LogStash server.* Filter incoming events using a variety of techniques.* Output those events to a selection of useful destinations.* Use LogStash's Web interface and alternative interfaces like Kibana.* Scale out your LogStash implementation as your environment grows.* Quickly and easily extend LogStash to deliver additional functionality you might need.By the end of the book you should have a functional and effective log management solution that you can deploy into your own environment.