In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.

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.

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.

The War Below reveals the explosive brawl among industry titans, conservationists, community groups, policymakers, and many others over whether the habitats of rare plants, sensitive ecosystems, Indigenous holy sites, and other places should be dug up for their riches.

From veteran Amazon reporter for The Wall Street Journal, The Everything War is the first untold, devastating exposé of Amazon's endless strategic greed, from destroying Main Street to remaking corporate power, in pursuit of total domination, by any means necessary.

If you read (or listen to) nothing else on artificial intelligence and machine learning, listen to these ten articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand the future direction of AI, bring your AI initiatives to scale, and use AI to transform your organization.

AI will be the defining development of the 21st century. Within two decades, aspects of daily human life will be unrecognizable. AI will generate unprecedented wealth, revolutionize medicine and education through human-machine symbiosis, and create brand-new forms of communication and entertainment. In liberating us from routine work, however, AI will also challenge the organizing principles of our economic and social order.

Some people bounce back in response to setbacks; others break. We often think that these responses are hardwired, but fortunately this is not the case. Stoicism offers us an alternative approach. Plumbing the wisdom of one of the most popular and successful schools of thought from ancient Rome, philosopher William B. Irvine teaches us to turn any challenge on its head. The Stoic Challenge, then, is the ultimate guide to improving your quality of life through tactics developed by ancient Stoics, from Marcus Aurelius and Seneca to Epictetus.

From the Pulitzer Prize-winning reporters behind the 2018 bombshell New York Times exposé of then-President Trump’s finances, an explosive investigation into the history of Donald Trump’s wealth, revealing how exactly one of the country’s biggest business failures lied his way into the White House.

Few billionaires have been in the public eye for as long, and in as many guises, as Bill Gates. At first heralded as a tech visionary, the Microsoft cofounder next morphed into a ruthless capitalist, only to change yet again when he fashioned himself into a global do-gooder. Along the way, Gates forever influenced how we think about tech founders, as the products they make and the ideas they sell continue to dominate our lives. Through the Bill & Melinda Gates Foundation, he also set a new standard for high-profile, billionaire philanthropy.

In November 2022, a webpage was posted online with a simple text box. It was ChatGPT, and was unlike any app people had used before. It was more human than a customer service agent, more convenient than a Google search. Behind the scenes, battles for control and prestige between the world’s two leading AI firms, OpenAI and DeepMind, who now steers Google's AI efforts, has remained elusive—until now.

Three of the world’s most accomplished and deep thinkers come together to explore Artificial Intelligence (AI) and the way it is transforming human society - and what this technology means for us all.

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.

Sara Dykman made history when she became the first person to bicycle alongside monarch butterflies on their storied annual migration—a round-trip adventure that included three countries and more than 10,000 miles. Equally remarkable, she did it solo, on a bike cobbled together from used parts. Her panniers were recycled buckets. In Bicycling with Butterflies, Dykman recounts her incredible journey and the dramatic ups and downs of the nearly nine-month odyssey.

On the surface, a British poet, an UberEats courier in Pittsburgh, an Indian doctor, and a Chinese activist in exile have nothing in common. But they are in fact linked by a profound common experience—unexpected encounters with artificial intelligence. In Code Dependent, Murgia shows how automated systems are reshaping our lives all over the world, from technology that marks children as future criminals, to an app that is helping to give diagnoses to a remote tribal community.

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 Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.

AI will be the defining development of the 21st century. Within two decades, aspects of daily human life will be unrecognizable. AI will generate unprecedented wealth, revolutionize medicine and education through human-machine symbiosis, and create brand-new forms of communication and entertainment. In liberating us from routine work, however, AI will also challenge the organizing principles of our economic and social order.

Unequal access to technology and the revenue it creates is one of the most pressing issues in the United States. An economic gulf exists between those who have struck gold in the tech industry and those left behind by the digital revolution; a geographic divide between those in the coastal tech industry and those in the heartland whose jobs have been automated; and existing inequalities in the technological access—students without computers, rural workers with spotty WiFi, and many workers without the luxury to work remotely.

How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the world’s leading practitioners construct and maintain software. This book covers Google’s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization.

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.

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.

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.

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.

When AI expert and investigative journalist Karen Hao first began covering OpenAI in 2019, she thought they were the good guys. Founded as a nonprofit with safety enshrined as its core mission, the organization was meant, its leader Sam Altman told us, to act as a check against more purely mercantile, and potentially dangerous, forces. What could go wrong?

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.

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.

Part memoir, part history, Burn Book is a necessary chronicle of tech’s most powerful players. This is the inside story we’ve all been waiting for about modern Silicon Valley and the biggest boom in wealth creation in the history of the world. When tech titans crowed that they would “move fast and break things,” Kara Swisher was moving faster and breaking news. While covering the explosion of the digital sector in the early 1990s, she developed a long track record of digging up and reporting the facts about this new world order.

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.

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.