A vast and largely unseen transformation of how war is fought as profound as the invention of gunpowder or advent of the nuclear age is occurring. Flying cars that can land like helicopters, artificial intelligence-powered drones that can fly into buildings and map their interiors, microsatellites that can see through clouds and monitor rogue missile sites—all these and more are becoming part of America’s DIU-fast-tracked arsenal. Until recently, the Pentagon was known for its uncomfortable relationship with Silicon Valley and for slow-moving processes that acted as a brake on innovation.

Imagine a world where the difference between man and machine blurs, where the line between humanity and technology fades, and where the soul and the silicon chip unite. This is not science fiction. This is the twenty-first century according to Ray Kurzweil, the “restless genius” (The Wall Street Journal), “ultimate thinking machine” (Forbes), and inventor of the most innovative and compelling technology of our era.

As Wall Street swooned and boomed through the last decade, our livelihoods have—now more than ever—come to rely upon the good sense and risk appetites of a few standout investors. And amidst the BlackRocks, Vanguards, and Berkshire Hathaways stands arguably the most iconoclastic of them all: SoftBank’s Masayoshi Son. In Gambling Man, the first Western biography of Son, the self-professed unicorn hunter, we go behind the scenes of the world’s most monied halls of power in New York, Tokyo, Silicon Valley, Saudi Arabia, and beyond.

In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable. In this groundbreaking audiobook, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines.

Confused about AI and worried about what it means for your future and the future of the world? You’re not alone. AI is everywhere—and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor cut through the confusion to give you an essential understanding of how AI works, why it often doesn’t, where it might be useful or harmful, and when you should suspect that companies are using AI hype to sell AI snake oil—products that don’t work, and probably never will.

Nvidia is the darling of the age of artificial intelligence: the company’s chips are powering the generative-AI revolution, and demand is insatiable. For all the current interest and attention, however, Nvidia is not of our time. Founded more than three decades ago in a Denny’s in East San Jose, for years it was known primarily in the then-niche world of computer gaming. In fact, the company’s leather-jacketed leader, Jensen Huang, is the longest-serving CEO in an industry marked by near constant turmoil and failure.

Credit Suisse was a 166-year-old bastion of global banking. But a veneer of high-class service disguised a darker, much dirtier reality. From its sterile Zurich headquarters, Credit Suisse banked dictators and drug dealers, hid stolen Nazi gold, and helped corrupt bankers fleece the firm's own clients of billions of dollars. Its top executives oversaw a global operation that laundered money for autocrats; they hired spies to track one another through the cobbled streets of the Swiss financial capital; and they helped clients hide their money from the world's tax authorities.

In The Optimist, the Wall Street Journal reporter Keach Hagey presents the most detailed account yet of Altman’s rise, from his precocious childhood in St. Louis to his first, failed startup experience; his time as legendary entrepreneur Paul Graham’s protégé and successor as head of Y Combinator, the start-up accelerator where Altman became the premier power broker in Silicon Valley; the founding of OpenAI and his recruitment of a small yet superior team; and his struggle to keep his company at the cutting edge while fending off determined rivals, including Elon Musk.

Veteran Morgan Stanley banker Alok Sama thought he'd seen it all. Then he found himself chief dealmaker at the most influential technology investor in the world—SoftBank, the backer of Arm Holdings, Yahoo, Nvidia, TikTok, Uber, T-Mobile, Alibaba and WeWork. The Money Trap is Sama’s thrilling, stranger-than-fiction personal odyssey featuring his experiences alongside SoftBank’s iconic founder, Masayoshi Son, a visionary maverick who wants to be remembered as “the crazy guy who bet on the future” and whose mission is “happiness for everyone.”

We are approaching a critical threshold in the history of our species. Everything is about to change. Soon you will live surrounded by AIs. They will organize your life, operate your business, and run core government services. You will live in a world of DNA printers and quantum computers, engineered pathogens and autonomous weapons, robot assistants and abundant energy.

In this groundbreaking treatise, Palantir co-founder and CEO Alexander C. Karp and Nicholas W. Zamiska offer a searing critique of our collective abandonment of ambition, arguing that in order for the U.S. and its allies to retain their global edge—and preserve the freedoms we take for granted—the software industry must renew its commitment to addressing our most urgent challenges, including the new arms race of artificial intelligence. The government, in turn, must embrace the most effective features of the engineering mindset that has propelled Silicon Valley’s success.

Superagency offers a roadmap for using AI inclusively and adaptively to improve our lives and create positive change. While acknowledging challenges like disinformation and potential job changes, the book focuses on AI’s immense potential to increase individual agency and create better outcomes for society as a whole. Imagine AI tutors personalizing education for each child, researchers rapidly discovering cures for diseases like Alzheimer's and cancer, and AI advisors empowering people to navigate complex systems and achieve their goals.

We are entering a new era of global cataclysm in which the world faces a deadly mix of war, climate change, great power rivalry, rapid technological advancement, the end of both monarchy and empire, and countless other dangers. In Waste Land, Robert D. Kaplan, geopolitical expert and author of more than twenty books on world affairs, incisively explains how we got here and where we are going.

Since it was first published in 2005, Ray Kurzweil's The Singularity Is Near and its vision of the future have been influential in spawning a worldwide movement with millions of followers, hundreds of books, major films, and thousands of articles. During the succeeding decade, many of Kurzweil's predictions about technological advancements have been borne out, and their viability has become familiar to the public through such now commonplace concepts. In this entirely new book Ray Kurzweil brings a fresh perspective to advances in the singularity.

Now a number-one international best seller, Billion Dollar Whale is "an epic tale of white-collar crime on a global scale" (Publishers Weekly), revealing how a young social climber from Malaysia pulled off one of the biggest heists in history. In 2009, a chubby, mild-mannered graduate of the University of Pennsylvania's Wharton School of Business named Jho Low set in motion a fraud of unprecedented gall and magnitude—one that would come to symbolize the next great threat to the global financial system.

A vast and largely unseen transformation of how war is fought as profound as the invention of gunpowder or advent of the nuclear age is occurring. Flying cars that can land like helicopters, artificial intelligence-powered drones that can fly into buildings and map their interiors, microsatellites that can see through clouds and monitor rogue missile sites—all these and more are becoming part of America’s DIU-fast-tracked arsenal. Until recently, the Pentagon was known for its uncomfortable relationship with Silicon Valley and for slow-moving processes that acted as a brake on innovation.

Something new entered our world in November 2022—the first general purpose AI that could pass for a human and do the kinds of creative, innovative work that only humans could do previously. Wharton professor Ethan Mollick immediately understood what ChatGPT meant: after millions of years on our own, humans had developed a kind of co-intelligence that could augment, or even replace, human thinking. Through his writing, speaking, and teaching, Mollick has become one of the most prominent and provocative explainers of AI.

We are entering a new technological age in which artificial intelligence and immersive media will transform society at all levels, mediating our lives by altering what we see, hear, and experience. If managed well, this could unleash a new age of abundance. If managed poorly, this technological revolution could easily go astray, compromising our privacy, autonomy, agency, and humanity. Two industry veterans provide a data-driven debate on whether the new world we're creating will be a technological utopia or an AI-powered dystopia and give guidance on how to aim for the best future we can.

Nvidia is the darling of the age of artificial intelligence: the company’s chips are powering the generative-AI revolution, and demand is insatiable. For all the current interest and attention, however, Nvidia is not of our time. Founded more than three decades ago in a Denny’s in East San Jose, for years it was known primarily in the then-niche world of computer gaming. In fact, the company’s leather-jacketed leader, Jensen Huang, is the longest-serving CEO in an industry marked by near constant turmoil and failure.

We are approaching a critical threshold in the history of our species. Everything is about to change. Soon you will live surrounded by AIs. They will organize your life, operate your business, and run core government services. You will live in a world of DNA printers and quantum computers, engineered pathogens and autonomous weapons, robot assistants and abundant energy.

Artificial intelligence (AI) is having a profound impact on individuals, businesses, and governments, but what is required to get ahead and stay ahead of the AI curve is not well-understood. AI Supremacy is a comprehensive guide to AI’s impact on a societal and global level and provides a vision for how AI and machine learning will likely influence the way business is done, societies function, and governments interact in the future.

Confused about AI and worried about what it means for your future and the future of the world? You’re not alone. AI is everywhere—and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor cut through the confusion to give you an essential understanding of how AI works, why it often doesn’t, where it might be useful or harmful, and when you should suspect that companies are using AI hype to sell AI snake oil—products that don’t work, and probably never will.

As it absorbs data, gains agency, and intermediates between humans and reality, AI will help us to address enormous crises, from climate change to geopolitical conflicts to income inequality. It might well solve some of the greatest mysteries of our universe, revolutionize fields as diverse as medicine and architecture, and elevate the human spirit to unimaginable heights. But it will also pose challenges on a scale and of an intensity that we have never seen.

In The Optimist, the Wall Street Journal reporter Keach Hagey presents the most detailed account yet of Altman’s rise, from his precocious childhood in St. Louis to his first, failed startup experience; his time as legendary entrepreneur Paul Graham’s protégé and successor as head of Y Combinator, the start-up accelerator where Altman became the premier power broker in Silicon Valley; the founding of OpenAI and his recruitment of a small yet superior team; and his struggle to keep his company at the cutting edge while fending off determined rivals, including Elon Musk.

Since it was first published in 2005, Ray Kurzweil's The Singularity Is Near and its vision of the future have been influential in spawning a worldwide movement with millions of followers, hundreds of books, major films, and thousands of articles. During the succeeding decade, many of Kurzweil's predictions about technological advancements have been borne out, and their viability has become familiar to the public through such now commonplace concepts. In this entirely new book Ray Kurzweil brings a fresh perspective to advances in the singularity.

John Kay's incisive overhaul of our ideas about business redefines our understanding of successful commercial activity and the corporation—and describes how we have come to "love the product" as we "hate the producer." This is a brilliant and original work from one of the greatest economists.

A sweeping history of the United States' economy and politics, Shock Values reveals how the American state has been shaped by a massive, ever-evolving effort to insulate its economy from the real and perceived dangers of price fluctuations. Carola Binder narrates how the pains of rising and falling prices have brought lasting changes for every generation of Americans. And with each brush with price instability, the United States has been reinvented—not as a more perfect union, but as a reflection of its most recent failures.

What does it mean to be smart? To be human? What do we really want from life and the intelligence we have, or might create? With deep and exclusive reporting, across hundreds of interviews, New York Times Silicon Valley journalist Cade Metz brings you into the rooms where these questions are being answered. Where an extraordinarily powerful new artificial intelligence has been built into our biggest companies, our social discourse, and our daily lives, with few of us even noticing.

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.

In June of 2024, thirty-one years after its founding in a Denny’s restaurant, Nvidia became the most valuable corporation on Earth. The Thinking Machine is the astonishing story of how a designer of video game equipment conquered the market for AI hardware, and in the process re-invented the computer. Essential to Nvidia’s meteoric success is its visionary CEO Jensen Huang, who more than a decade ago, on the basis of a few promising scientific results, bet his entire company on AI.