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.

To most of us, it seems like recent developments in artificial intelligence emerged out of nowhere to pose unprecedented threats to humankind. But to Dr. Joy Buolamwini, who has been at the forefront of AI research, this moment has been a long time in the making.

We live in a world that’s obsessed with talent. We celebrate gifted students in school, natural athletes in sports, and child prodigies in music. But admiring people who start out with innate advantages leads us to overlook the distance we ourselves can travel. We underestimate the range of skills that we can learn and how good we can become. We can all improve at improving. And when opportunity doesn’t knock, there are ways to build a door.

When Elon Musk was a kid in South Africa, he was regularly beaten by bullies. One day a group pushed him down some concrete steps and kicked him until his face was a swollen ball of flesh. He was in the hospital for a week. But the physical scars were minor compared to the emotional ones inflicted by his father, an engineer, rogue, and charismatic fantasist.

When Michael Lewis first met him, Sam Bankman-Fried was the world’s youngest billionaire and crypto’s Gatsby. CEOs, celebrities, and leaders of small countries all vied for his time and cash after he catapulted, practically overnight, onto the Forbes billionaire list. Who was this rumpled guy in cargo shorts and limp white socks, whose eyes twitched across Zoom meetings as he played video games on the side?

Robert Sapolsky’s Behave, his now classic account of why humans do good and why they do bad, pointed toward an unsettling conclusion: We may not grasp the precise marriage of nature and nurture that creates the physics and chemistry at the base of human behavior, but that doesn’t mean it doesn’t exist. Now, in Determined, Sapolsky takes his argument all the way, mounting a brilliant (and in his inimitable way, delightful) full-frontal assault on the pleasant fantasy that there is some separate self telling our biology what to do.

Katalin Karikó has had an unlikely journey. The daughter of a butcher in postwar communist Hungary, Karikó grew up in an adobe home that lacked running water, and her family grew their own vegetables. She saw the wonders of nature all around her and was determined to become a scientist. That determination eventually brought her to the United States, where she arrived as a postdoctoral fellow in 1985 with $1,200 sewn into her toddler’s teddy bear and a dream to remake medicine.

Many of us dread having to convey our ideas to others, often feeling ill-equipped, anxious, and awkward. Public speaking experts help by focusing on planned communication experiences such as slide presentations, pitches, or formal talks. Yet, most of our professional and personal communication occurs in spontaneous situations that creep up on us and all too often leave us flustered and stumbling for words. Stanford lecturer, podcast host, and communication expert Matt Abrahams provides tangible, actionable skills to help even the most anxious of speakers succeed when speaking spontaneously.

As David Brooks observes, “There is one skill that lies at the heart of any healthy person, family, school, community organization, or society: the ability to see someone else deeply and make them feel seen—to accurately know another person, to let them feel valued, heard, and understood.”

Why we think it’s a great listen: You thought he was a stodgy scientist with funny hair, but Isaacson and Hermann reveal an eloquent, intense, and selfless human being who not only shaped science with his theories, but politics and world events in the 20th century as well. Based on the newly released personal letters of Albert Einstein, Walter Isaacson explores how an imaginative, impertinent patent clerk became the mind reader of the creator of the cosmos.

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.

What is “being geeky?” It’s being a perennially curious person, one who's not afraid to tackle hard problems and embrace unconventional solutions. McAfee shows how the geeks have created a new culture based around four norms: science, ownership, speed, and openness. The geek way seems odd at first. It's not deferential to experts, fond of planning and process, afraid of mistakes, or obsessed with "winning." But it explains everything from why Montessori babies turn out to be creative tinkerers to how newcomers are disrupting industry after industry (and still just getting started).

Rana el Kaliouby is a rarity in both the tech world and her native Middle East: a Muslim woman in charge in a field that is still overwhelmingly white and male. Growing up in Egypt and Kuwait, el Kaliouby was raised by a strict father who valued tradition - yet also had high expectations for his daughters - and a mother who was one of the first female computer programmers in the Middle East. Even before el Kaliouby broke ground as a scientist, she broke the rules of what it meant to be an obedient daughter and, later, an obedient wife to pursue her own daring dream.

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 revolution is underway. For the first time in human history, we are at the cusp of experiencing contact with nonhuman life-forms of all kinds due to technological innovations and research into the experiences of people at the forefront of this development. In Encounters, author D.W. Pasulka takes listeners to the forefront of this revolution, sharing the work of experts across a spectrum of fields who are working to connect humanity with unknown life-forms.

In AI Superpowers, Kai-fu Lee argues powerfully that because of these unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power.

On August 13, 1944, Joe Moser set off on his forty-fourth combat mission over occupied France. Soon, he would join almost 170 other Allied airmen as prisoners in Buchenwald, one of the most notorious and deadly of Nazi concentration camps. Tom Clavin's Lightning Down tells this largely untold and riveting true story.

These days, whenever anything spreads, whether it's a YouTube fad or a political rumor, we say it went viral. But how does virality actually work? In The Rules of Contagion, epidemiologist Adam Kucharski explores topics including gun violence, online manipulation, and, of course, outbreaks of disease to show how much we get wrong about contagion, and how astonishing the real science is. Why did the president retweet a Mussolini quote as his own? Why do financial bubbles take off so quickly?

A candid, colorful, and comprehensive oral history that reveals the secrets of Silicon Valley - from the origins of Apple and Atari to the present day clashes of Google and Facebook, and all the start-ups and disruptions that happened along the way. Drawing on over 200 in-depth interviews, Valley of Genius takes listeners from the dawn of the personal computer and the Internet, through the heyday of the web, up to the very moment when our current technological reality was invented.

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.

This “incredibly captivating” (Siddhartha Mukherjee, author of The Emperor of All Maladies) portrait of schizophrenia, the most malignant and mysterious mental illness, by renowned psychiatrist Jeffrey Lieberman, interweaves cultural and scientific history with dramatic patient profiles and clinical experiences to impart a revolutionary message of hope. For the first time in history, we can effectively treat schizophrenia, limiting its disabling effects—and we’re on the verge of being able to prevent the disease’s onset entirely.

Erika Krouse has one of those faces. “I don’t know why I’m telling you this,” people say, spilling confessions. In fall 2002, Erika accepts a new contract job investigating lawsuits as a private investigator. The role seems perfect for her, but she quickly realizes she has no idea what she’s doing. Then a lawyer named Grayson assigns her to investigate a sexual assault, a college student who was attacked by football players and recruits at a party a year earlier. Erika knows she should turn the assignment down.

If the history of the Earth were compressed down to a year, our species would arise in the last thirty minutes or so of the final hour. But life itself is not such a late arrival: It has existed on Earth for something like 3.7 billion years—most of our planet’s history and over a quarter of the age of the universe (as far as we can tell). What have these organisms—bacteria, animals, plants, and the rest—done in all this time? In Living on Earth, the philosopher Peter Godfrey-Smith proposes a new way of understanding how the actions of living beings have shaped our planet.

Author Kevin Grange—former paramedic and park ranger at Yellowstone and Grand Teton—comes face-to-face with North America’s most fearsome predator, Ursus Arctos. His quest takes him from his home in the Tetons to an eerie, mist-shrouded island of gigantic bruins; from the Bear Center at Washington State University—where scientists believe the secrets of hibernation might help treat diabetes, heart disease, and obesity in humans—to the dark underbelly of for-profit wildlife parks, illegal animal trade and black markets hawking bear bile.

Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.

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.

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.

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.

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.