Superintelligence asks the questions: What happens when machines surpass humans in general intelligence? Will artificial agents save or destroy us? Nick Bostrom lays the foundation for understanding the future of humanity and intelligent life. The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. If machine brains surpassed human brains in general intelligence, then this new superintelligence could become extremely powerful - possibly beyond our control.

Over the past 25 years, Jason Calacanis has made a fortune investing in creators, spotting and helping build and fund a number of successful technology start-ups - investments that have earned him tens of millions of dollars. Now, in this enlightening guide that is sure to become the bible for 21st century investors, Calacanis takes potential angels step by step through his proven method of creating massive wealth: start-ups.

The deep-learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep-learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.

Unknown Market Wizards continues in the three-decade tradition of the hugely popular Market Wizards series, interviewing exceptionally successful traders to learn how they achieved their extraordinary performance results. The twist in Unknown Market Wizards is that the featured traders are individuals trading their own accounts. They are unknown to the investment world. Despite their anonymity, these traders have achieved performance records that rival, if not surpass, the best professional managers.

Before the internet became widely known as a global tool for terrorists, one perceptive US 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.

In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very concept of the firm. AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value.

Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us - and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole - and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.

In Spam Nation, investigative journalist and cybersecurity expert Brian Krebs unmasks the criminal masterminds driving some of the biggest spam and hacker operations targeting Americans and their bank accounts. Tracing the rise, fall, and alarming resurrection of the digital mafia behind the two largest spam pharmacies - and countless viruses, phishing, and spyware attacks - he delivers the first definitive narrative of the global spam problem and its threat to consumers everywhere.

Today we think statistics are the enemy, numbers used to mislead and confuse us. That’s a mistake, Tim Harford says in The Data Detective. We shouldn’t be suspicious of statistics - we need to understand what they mean and how they can improve our lives: they are, at heart, human behavior seen through the prism of numbers and are often “the only way of grasping much of what is going on around us”.

A New York Times technology correspondent presents the dramatic rise and fall of Uber, set against the rapid upheaval in Silicon Valley during the mobile era. Based on hundreds of interviews with current and former Uber employees, along with previously unpublished documents, Super Pumped is a pause-resisting story of ambition and deception, obscene wealth, and bad behavior, that explores how blistering technological and financial innovation culminated in one of the most catastrophic 12-month periods in American corporate history.

Global technology executive, serial entrepreneur, and angel investor Elad Gil has worked with high-growth, tech companies like Airbnb, Twitter, Google, Stripe, and Square as they've grown from small companies to global enterprises. Across all of these breakout companies, a set of common patterns has evolved into a repeatable playbook that Gil has now codified in High Growth Handbook.

In AI Superpowers, Kai-fu Lee argues powerfully that because of these unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power.

The digital revolution has transformed the world of media, upending centuries-old companies and business models. Now, it is restructuring every business, every job, and every sector of society. Yet the biggest changes are still ahead. To survive, every industry and organization will have to transform itself in multiple ways. O'Reilly explores what the next economy will mean for the world and every aspect of our lives - and what we can do to shape it.

Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. 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 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.

From the beet fields of North Dakota to the wilderness campgrounds of California to an Amazon warehouse in Texas, people who once might have kicked back to enjoy their sunset years are hard at work. Underwater on mortgages or finding that Social Security comes up short, they're hitting the road in astonishing numbers, forming a new community of nomads: RV and van-dwelling migrant laborers, or "workampers".

The widening gap between rich and poor means dealing with one big, uncomfortable truth: If you're not at the top, you're at the bottom. The global labor market is changing radically thanks to growth at the high end and the low. About three quarters of the jobs created in the United States since the great recession pay only a bit more than minimum wage. Still, the United States has more millionaires and billionaires than any country ever, and we continue to mint them.

In The Second Machine Age, Andrew McAfee and Erik Brynjolfsson predicted some of the far-reaching effects of digital technologies on our lives and businesses. Now they’ve written a guide to help listeners make the most of our collective future. Machine | Platform | Crowd outlines the opportunities and challenges inherent in the science fiction technologies that have come to life in recent years, like self-driving cars and 3D printers, online platforms for renting outfits and scheduling workouts, or crowd-sourced medical research and financial instruments.

What to Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on artificial intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans, it raises profound questions on the future of work and how companies compete.

The recent changes in our economic landscape have only exposed and intensified a phenomenon: an explosion in sharing, bartering, lending, trading, renting, gifting, and swapping. From enormous marketplaces such as eBay and Craigslist to emerging sectors such as peer-to-peer lending (Zopa), "swap trading" (Swaptree), and car sharing (Zipcar), Collaborative Consumption is disrupting outdated modes of business and reinventing not only what we consume but how we consume.

In AI Superpowers, Kai-fu Lee argues powerfully that because of these unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power.

When scholars write the history of the world twenty years from now, what will they say was the most crucial development in the first few years of the twenty-first century? The attacks on the World Trade Center on 9/11 and the Iraq war? Or the convergence of technology and events that allowed India, China, and so many other countries to become part of the global supply chain for services and manufacturing, creating an explosion of wealth in the middle classes of the world's two biggest nations?

Author of the extremely popular "Dear Economist" column in Financial Times, Tim Harford reveals the economics behind everyday phenomena in this highly entertaining and informative book. Can a book about economics be fun to read? It can when Harford takes the reins, using his trademark wit to explain why it costs an arm and a leg to buy a cappuccino and why it's nearly impossible to purchase a decent used car.

Here's how entrepreneurs find the next big thing-and make it huge. The era of easy money and easy jobs is officially over. Today, we're all entrepreneurs, and the tides of change threaten to capsize anyone who plays it safe. Taking risks is the name of the game - but how can you tell a smart bet from a stupid gamble? Andy Kessler offers 12 surprising and controversial rules for these radical entrepreneurs.

Many people today are so dazzled by the long-term potential for artificial intelligence that they overlook the much clearer and more immediate potential for a new form of "collective intelligence": the intelligence of groups of people and computers working together. In Superminds, Thomas Malone explains what we need to do to take advantage of this potential. Groundbreaking and utterly fascinating, Superminds will change the way you work - both with others and with computers - for the better.

Clayton M. Christensen, the author of such business classics as The Innovator’s Dilemma and the New York Times best-seller How Will You Measure Your Life, and coauthors Efosa Ojomo and Karen Dillon reveal why so many investments in economic development fail to generate sustainable prosperity and offers a groundbreaking solution for true and lasting change.

Risky Is the New Safe is a different kind of book for a different kind of thinking - a thought-provoking manifesto for risk takers. It will challenge you to think laterally, question premises, and be a contrarian. Disruptive technology, accelerating speed of change, and economic upheaval are changing the game. The same tired, old conventional thinking won’t get you to success today. Risky Is the New Safe will change the way you look at everything!

How important is luck in economic success? No question more reliably divides conservatives from liberals. As conservatives correctly observe, people who amass great fortunes are almost always talented and hardworking. But liberals are also correct to note that countless others have those same qualities yet never earn much. In recent years, social scientists have discovered that chance plays a much larger role in important life outcomes than most people imagine.

Most new products fail. So do most small businesses. And most of us, if we are honest, have experienced a major setback in our personal or professional lives. So what determines who will bounce back and follow up with a home run? If you want to succeed in business and in life, Megan McArdle argues in this hugely thought-provoking book, you have to learn how to harness the power of failure. McArdle has been one of our most popular business bloggers for more than a decade, covering the rise and fall of some the world' s top companies and challenging us to think differently about how we live, learn, and work.

From the shuttered factories of the rust belt to the look-alike strip malls of the sun belt---and almost everywhere in between---America has been transformed by its relentless fixation on low price. This pervasive yet little examined obsession is arguably the most powerful and devastating market force of our time---the engine of globalization, outsourcing, planned obsolescence, and economic instability in an increasingly unsettled world.

America has a huge problem. It faces four major challenges, on which its future depends, and it is failing to meet them. In That Used to Be Us, Thomas L. Friedman, one of our most influential columnists, and Michael Mandelbaum, one of our leading foreign policy thinkers, analyze those challenges - globalization, the revolution in information technology, the nation's chronic deficits, and its pattern of energy consumption - and spell out what we need to do now to rediscover America and rise to this moment.

Artificial Intelligence is likely to greatly increase our aggregate wealth, but it will also upend our labor markets, reshuffle our social order, and strain our private and public institutions. Eventually it may alter how we see our place in the universe, as machines pursue goals independent of their creators and outperform us in domains previously believed to be the sole dominion of humans.

Advances in Generative Artificial Intelligence (GAI) have created a new class of computer systems that exhibit astonishing proficiency on a wide variety of tasks with superhuman performance, producing novel text, images, music, and software by analyzing enormous collections of digitized information. Soon, these systems will provide expert medical care; offer legal advice; draft documents; write computer programs; tutor our children; and generate music and art. These advances will accelerate progress in science, art, and human knowledge, but they will also bring new dangers.

Today, there are three Americas. At one extreme are the brain hubs with workers who are among the most productive, creative, and best-paid on the planet. At the other extreme are former manufacturing capitals that are rapidly losing jobs and residents. The rest of America could go either way. For the past 30 years, the three Americas have been growing apart at an accelerating rate. This divergence is one the most important developments in the history of the US and is reshaping the very fabric of our society. But the winners and losers aren't necessarily who you'd expect.

What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? Drawing on more than a decade of research, award-winning scholar Kate Crawford reveals how AI is a technology of extraction: from the minerals drawn from the earth, to the labor pulled from low-wage information workers, to the data taken from every action and expression. This book reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequity.

In this audiobook, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general listener, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context.