In How To Think About AI, Richard Susskind draws on his experience of working on AI since the early 1980s. For Susskind, balancing the benefits and threats of artificial intelligence is the defining challenge of our age. He explores the history of AI and possible scenarios for its future. His views on AI are not always conventional. He positions ChatGPT and generative AI as no more than the latest chapter in the ongoing story of AI and claims we are still at the foothills of developments.

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.

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?

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.

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 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?

Fully updated chapters continue to address how technology and increasing levels of education have exposed people to more information than ever before. These societal gains, however, have also helped fuel a surge in narcissistic and misguided intellectual egalitarianism that has crippled informed debates on any number of issues. Over the past several years, the rise of populism and conspiracy theories have taken this to new levels. All voices, even the most ridiculous, demand to be taken with equal seriousness, and any claim to the contrary is dismissed as undemocratic elitism.

In What's Left, Malcolm Harris cuts through the noise and gets real about our remaining options for saving the world. Just as humans have caused climate change, we hold the power to avert a climate apocalypse, but that will only happen through collective political action. Harris outlines the three strategies—progressive, socialist, and revolutionary—that have any chance of succeeding, while also revealing that none of them can succeed on their own.

Two people meet for lunch in a Manhattan restaurant. She’s an accomplished actress in rehearsals for an upcoming premiere. He’s attractive, troubling, young—young enough to be her son. Who is he to her, and who is she to him? In this compulsively readable, brilliantly constructed novel, two competing narratives unspool, rewriting our understanding of the roles we play every day–partner, parent, creator, muse–and the truths every performance masks, especially from those who think they know us most intimately.

To trace the history of the twenty-first century so far is to trace a history of unaffordability and shortage. After years of refusing to build sufficient housing, America has a national housing crisis. After years of limiting immigration, we don’t have enough workers. Despite decades of being warned about the consequences of climate change, we haven’t built anything close to the clean-energy infrastructure we need. Ambitious public projects are finished late and over budget—if they are ever finished at all.

From trips on private jets and encounters with world leaders to shocking accounts of misogyny and double standards behind the scenes, this searing memoir exposes both the personal and the political fallout when unfettered power and a rotten company culture take hold. In a gripping and often absurd narrative where a few people carelessly hold the world in their hands, this eye-opening memoir reveals what really goes on among the global elite.

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.

A compelling work of investigative journalism that explores the surprising origins and hidden ramifications of an epic late 1960s hoax, perpetrated by cultural luminaries, including Victor Navasky and E.L. Doctorow. For readers curious about the surprising connections between John F. Kennedy, Oliver Stone, Timothy McVeigh, Alex Jones, and Donald Trump.

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.

In Moral Ambition, internationally bestselling author Rutger Bregman reveals how our conventional definitions of success are harming us and the planet, and shows how we can shift the focus from personal gain to societal benefit. In the process, he explains, we will join a growing movement of pioneers who are already living out this ethos. They're the builders, the problem-solvers, the doers who have chosen a path less traveled.

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?

In How To Think About AI, Richard Susskind draws on his experience of working on AI since the early 1980s. For Susskind, balancing the benefits and threats of artificial intelligence is the defining challenge of our age. He explores the history of AI and possible scenarios for its future. His views on AI are not always conventional. He positions ChatGPT and generative AI as no more than the latest chapter in the ongoing story of AI and claims we are still at the foothills of developments.

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.

Partisanship is a dirty word in American politics. If there is one issue on which almost everyone in our divided country seems to agree, it’s the belief that the intense loyalty within the electorate toward Democrats and Republicans is the source of our democratic ills—division, dysfunction, distrust, and disinformation. The possibilities that responsible partisanship can offer were at the heart of an important intellectual tradition that flourished in the 1950s and 1960s, one which was institutionalized through a sweeping set of congressional reforms in the 1970s and 1980s.

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.

Written by seasoned tech executive Sandy Carter, AI First, Human Always is your guidebook to the seven hottest trends in AI. This book will recalibrate your approach to the exponential curve of emerging AI solutions for business. It will help you transform today's unstoppable currents of change into tailwinds that propel your organization to great heights.

Tech billionaires have decided that they should determine our futures for us. According to Elon Musk, Jeff Bezos, Sam Altman, and more, the only good future for humanity is one powered by technology: trillions of humans living in space, functionally immortal, served by superintelligent AIs. In More Everything Forever, science writer Adam Becker investigates these wildly implausible and often profoundly immoral visions of tomorrow—and shows why, in reality, there is no good evidence that they will, or should, come to pass.

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.

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.

For listeners of Walter Isaacson’s Steve Jobs and Chris Miller’s Chip War, a riveting look at how Apple helped build China’s dominance in electronics assembly and manufacturing only to find itself trapped in a relationship with an authoritarian state making ever-increasing demands.

This is a practical, non-technical guide for business leaders, entrepreneurs, and curious minds. This comprehensive guide on agentic AI cuts through the hype and offers a clear, jargon-free strategic roadmap to understanding and applying this technology. The authors bring a rare perspective, having implemented agentic AI across diverse organizations—from global enterprises to agile startups—witnessing both remarkable successes and sobering failures.

Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice.

Artificial intelligence, or AI, can recognize a pattern from any set of data it is given, which is what makes it such an extraordinarily powerful tool. But because not all patterns are authentic or reliable, AI’s pattern-finding superpower can lead to spurious patterns. Hence the conundrum at the heart of AI: its greatest strength can also be its greatest weakness. Targeting the businessperson who needs to know how to use AI profitably and responsibly, Caleb Briggs and Rex Briggs offer a foundational understanding of AI that is easy to grasp yet thorough enough to be used effectively.

Have you ever chatted with a computer that seemed to really get you? Asked it a question and, seconds later, it gave you an answer that was actually useful—or even surprisingly insightful? If you’ve had that experience recently, there’s a good chance you were talking to ChatGPT. It might feel a bit like science fiction—an artificial intelligence that can hold a conversation, write emails, draft stories, explain complex topics, and even tell you a joke or two. But ChatGPT isn’t a futuristic fantasy anymore.

In June 2023, the Wagner Group assembled an armed convoy that included tanks and rocket launchers and set out on what seemed like a journey to take control of Moscow. The last person to attempt such a venture was Adolf Hitler. Wagner’s power began from patronage, then grew from international theft and extortion, until it was so great it exposed the weakness of Russia’s conventional military and became a threat to the Russian state, one that was not demonstrably eliminated until a private jet containing Wagner’s core commanders was blown up in midair.