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.

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.”

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.

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.

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.

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.

Hal Brands argues that a better understanding of Eurasia's strategic geography can illuminate the contours of rivalry and conflict in today's world. The Eurasian Century explains how revolutions in technology and warfare, and the rise of toxic ideologies of conquest, made Eurasia the center of twentieth-century geopolitics—with pressing implications for the struggles that will define the twenty-first.

Within the next five years, Jeremy Kahn predicts, AI will disrupt almost every industry and enterprise, with vastly increased efficiency and productivity. It will restructure the workforce, making AI copilots a must for every knowledge worker. It will compel us to reimagine how we make art, compose music, and write and publish books. The potential of generative AI to extend our skills, talents, and creativity as humans is undeniably exciting and promising. But while this new technology has a bright future, it also casts a dark and fearful shadow.

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.

There is a robotics revolution underway. A record 3.1 million robots are working in factories right now, doing everything from assembling computers to packing goods and monitoring air quality and performance. A far greater number of smart machines impact our lives in countless other ways—improving the precision of surgeons, cleaning our homes, extending our reach to distant worlds—and we’re on the cusp of even more exciting opportunities.

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.

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.

We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.

Tribalism is our most misunderstood buzzword. We’ve all heard pundits bemoan its rise, and it’s been blamed for everything from political polarization to workplace discrimination. But as acclaimed cultural psychologist and Columbia professor Michael Morris argues, our tribal instincts are humanity’s secret weapon. Ours is the only species that lives in tribes: groups glued together by their distinctive cultures that can grow to a scale far beyond clans and bands. Morris argues that our psychology is wired by evolution in three distinctive ways.

The difference between growing your business and going out of business is your ability to think strategically. The problem is, most leaders are stuck in the operational weeds, struggling to find the time to make better strategic decisions. This challenge is only heightened by the rise of AI. While you know AI is the future, current demands leave you with no time to explore its benefits. Meanwhile, your competition is gaining an edge by integrating AI. The time to act is now.

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.

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.

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.

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.”

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.

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.

Hilke Schellmann is an Emmy-award winning investigative reporter, Wall Street Journal and Guardian contributor and Journalism Professor at NYU. In The Algorithm, she investigates the rise of artificial intelligence (AI) in the world of work. AI is now being used to decide who has access to an education, who gets hired, who gets fired, and who receives a promotion. Drawing on exclusive information from whistleblowers, internal documents and real-world tests, Schellmann discovers that many of the algorithms making high-stakes decisions are biased, racist, and do more harm than good.

Yet prosperity has come at a price: environmental destruction, desolation of local cultures, the rise of vast inequalities, and destabilizing technologies. Faced with such damage, many now claim that the only way forward is through "degrowth," deliberately shrinking our economic footprint. Instead, Daniel Susskind argues, we must keep growth but redirect it, making it better reflect what we truly value.

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.

Within the next five years, Jeremy Kahn predicts, AI will disrupt almost every industry and enterprise, with vastly increased efficiency and productivity. It will restructure the workforce, making AI copilots a must for every knowledge worker. It will compel us to reimagine how we make art, compose music, and write and publish books. The potential of generative AI to extend our skills, talents, and creativity as humans is undeniably exciting and promising. But while this new technology has a bright future, it also casts a dark and fearful shadow.

How will artificial intelligence affect crime, war, justice, jobs, society, and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology - and there's nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who's helped mainstream research on how to keep AI beneficial.

A timely investigation of the causes of technological and scientific stagnation, and a radical blueprint for accelerating innovation. From the Moon landing to the dawning of the atomic age, the decades prior to the 1970s were characterized by the routine invention of transformative technologies at breakneck speed. By comparison, ours is an age of stagnation. Median wage growth has slowed, inequality and income concentration are on the rise, and scientific research has become increasingly expensive and incremental.

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.

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.

We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.