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 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.

Silicon Valley has sold us the illusion that artificial intelligence is a frictionless technology that will bring wealth and prosperity to humanity. But hidden beneath this smooth surface lies the grim reality of a precarious global workforce of millions laboring under often appalling conditions to make A.I. possible. This book presents an urgent, riveting investigation of the intricate network that maintains this exploitative system, revealing the untold truth of A.I.

We think we know what an autocratic state looks like: There is an all-powerful leader at the top. He controls the police. The police threaten the people with violence. There are evil collaborators, and maybe some brave dissidents. But in the 21st century, that bears little resemblance to reality. Nowadays, autocracies are underpinned not by one dictator, but by sophisticated networks composed of kleptocratic financial structures, surveillance technologies, and professional propagandists, all of which operate across multiple regimes, from China to Russia to Iran.

A slender novel of epic power and the winner of the Booker Prize 2024, Orbital deftly snapshots one day in the lives of six women and men traveling through space. Selected for one of the last space station missions of its kind before the program is dismantled, these astronauts and cosmonauts—from America, Russia, Italy, Britain, and Japan—have left their lives behind to travel at a speed of over seventeen thousand miles an hour as the earth reels below.

In Blockchain Chicken Farm, the technologist and writer Xiaowei Wang explores the political and social entanglements of technology in rural China. Their discoveries force them to challenge the standard idea that rural culture and people are backward, conservative, and intolerant. Instead, they find that rural China has not only adapted to rapid globalization but has actually innovated the technology we all use today. Wang unravels the ties between globalization, technology, agriculture, and commerce in unprecedented fashion.

Every day, three times a day, the students march in two straight lines, singing praises to Kim Jong-il and North Korea: Without you, there is no motherland. Without you, there is no us. It is a chilling scene, but gradually Suki Kim, too, learns the tune and, without noticing, begins to hum it. It is 2011, and all universities in North Korea have been shut down for an entire year, the students sent to construction fields - except for the 270 students at the all-male Pyongyang University of Science and Technology (PUST).

In this accessible, up-to-date, and authoritative examination of the world’s most radical technology, neuroscientist and AI researcher Christopher Summerfield explores what it really takes to build a brain from scratch. We have entered a world in which disarmingly human-like chatbots, such as ChatGPT, Claude and Bard, appear to be able to talk and reason like us—and are beginning to transform everything we do. But can AI ‘think’, 'know' and ‘understand’? What are its values? Whose biases is it perpetuating? Can it lie and if so, could we tell? Does their arrival threaten our very existence?

Throughout history, technological change — whether it takes the form of agricultural improvements in the Middle Ages, the Industrial Revolution, or today’s artificial intelligence — has been viewed as a main driver of prosperity, working in the public interest. The reality, though, is that technology is shaped by what powerful people want and believe, generating riches, social respect, cultural prominence, and further political voice for those already powerful. For most of the rest of us, there is the illusion of progress.

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.

New York Times tech reporter Kashmir Hill was skeptical when she got a tip about a mysterious app called Clearview AI that claimed it could, with 99 percent accuracy, identify anyone based on just one snapshot of their face. The app could supposedly scan a face and, in just seconds, surface every detail of a person’s online life: their name, social media profiles, friends and family members, home address, and photos that they might not have even known existed.

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.

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 developed world, we’ve reaped the benefits of refrigeration for more than a century, but the costs are catching up with us. We’ve eroded our connection to our food and redefined what “fresh” means. More important, refrigeration is one of the leading contributors to climate change. As the developing world races to build a US-style cold chain, Twilley asks: Can we reduce our dependence on refrigeration? Should we?

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.