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.

Wired called Dr. Fei-Fei Li “one of a tiny group of scientists—a group perhaps small enough to fit around a kitchen table—who are responsible for AI’s recent remarkable advances.” Known to the world as the creator of ImageNet, a key catalyst of modern artificial intelligence, Dr. Li has spent more than two decades at the forefront of the field. But her career in science was improbable from the start. The Worlds I See is the moving memoir of a scientist coming of age as an immigrant in America who finds her calling at the forefront of the AI revolution.

What entrepreneur or founder doesn't aspire to build the next Amazon, Facebook, or Airbnb? Yet those who actually manage to do so are exceedingly rare. So what separates the start-ups that get disrupted and disappear from the ones who grow to become global giants? The secret is blitzscaling: a set of techniques for scaling up at a dizzying pace that blows competitors out of the water.

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?

Hailed by Ken Burns as one of the foremost “explainers” of technology and its effect throughout history, Tom Wheeler now turns his gaze to the public impact of entrepreneurial innovation. In Techlash, he connects the experiences of the late 19th century’s industrial Gilded Age with its echoes in the 21st century digital Gilded Age. In both cases, technology innovation and the great wealth that it created ran up against the public interest and the rights of others.

Every investment plan under the sun is, at best, an informed speculation of what may happen in the future, based on a systematic extrapolation from the known past. Same as Ever reverses the process, inviting us to identify the many things that never, ever change. With his usual elan, Morgan Housel presents a master class on optimizing risk, seizing opportunity, and living your best life. Through a sequence of engaging stories and pithy examples, he shows how we can use our newfound grasp of the unchanging to see around corners.

In their eagerly awaited book, Kim and Spear bring to light a new theory of high-achieving organizations. They examine how companies solve the most important problems better, faster, and easier than their competitors by quickly and regularly closing the gap between aspirations and real-world success. This book teaches companies that are struggling to perform how to achieve the continual greatness seen in the best of the best.

Every iconic tech company was once a startup. And while these companies like to paint an origin story full of surefooted confidence, the truth is usually something different: the early life of most startups is pure chaos. This chaos comes from the vastly different motivations and incentives between those with the vision and those with the money. From fundraising paranoia to boardroom coups, Zalman and Neumann train their inimitable voices on the gulf between what founders and investors promise to do and what they end up actually doing.

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.

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.

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.

A bold call to reexamine how our government operates—and sometimes fails to—from President Obama’s former deputy chief technology officer and the founder of Code for America.

Learn how to compete against large competitors and structure your pricing for maximum growth. Discover the four SaaS Cheat Codes that can dramatically accelerate your business's success. Learn how to avoid common mistakes that SaaS founders make and identify the right marketing approaches for your business.

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.

This book predicts the decline of today's professions and describes the people and systems that will replace them. In an Internet society, according to Richard Susskind and Daniel Susskind, we will neither need nor want doctors, teachers, accountants, architects, the clergy, consultants, lawyers, and many others to work as they did in the 20th century.

Artificial intelligence is changing our world faster than we can imagine, and it will impact every area of our lives. And this is happening whether we like it or not. You might have heard that many jobs will be replaced by automation and robots, but did you also know that at the same time a huge number of new jobs will be created by AI? This book covers many fascinating and timely topics related to artificial intelligence, including: self-driving cars, robots, chatbots, and how AI will impact the job market, business processes, and entire industries, just to name a few.

Now that 75 percent of screen time is spent on connected devices, digital strategies have moved front and center of most marketing plans. But what if that's not enough? What if most people ignore company messages? What if consumer engagement never goes further than the "like" button? A sobering reality is hitting marketers. Technology hasn't just reshaped mass media, it's altering behavior as well. And getting through to customers will take some radical rethinking.

The workplace is going through a large-scale transition with digitization, automation, and acceleration. Critical skills and expertise are imperative for companies and their employees to succeed in the future, and the most forward-thinking companies are being proactive in adapting to the shift in the workforce. Kelly Palmer, Silicon Valley thought leader from LinkedIn, Degreed, and Yahoo, and David Blake, cofounder of ed-tech pioneer Degreed, share their experiences and describe how some of the smartest companies in the world are making learning and expertise a major competitive advantage.

In no more than the blink of an eye, a naïve optimism about technology’s liberating potential has given way to a dystopian obsession with biased algorithms, surveillance capitalism, and job-displacing robots. System Error exposes the root of our current predicament - how big tech’s relentless focus on optimization is driving a future that reinforces discrimination, erodes privacy, displaces workers, and pollutes the information we get- and outlines steps we can take to change course, renew our democracy, and save ourselves.

In this invaluable book, LinkedIn co-founder Reid Hoffman and venture capitalist Ben Casnocha show how to accelerate your career in today’s competitive world. The key is to manage your career as if it were a startup business: a living, breathing, growing startup of you.

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

What entrepreneur or founder doesn't aspire to build the next Amazon, Facebook, or Airbnb? Yet those who actually manage to do so are exceedingly rare. So what separates the start-ups that get disrupted and disappear from the ones who grow to become global giants? The secret is blitzscaling: a set of techniques for scaling up at a dizzying pace that blows competitors out of the water.

Behind the scenes in Silicon Valley, Reid Hoffman (founder of LinkedIn, investor at Greylock) is a sought-after adviser to heads of companies and heads of state. On each episode of his podcast, Masters of Scale, he sits down with a guest from an all-star list of visionary founders and leaders, digging into the surprising strategies that power their company’s growth. In this book, he draws on their most riveting, revealing stories - as well as his own experience as a founder and investor - to distill the secrets behind the most extraordinary success stories of our times.

Unlock the transformative potential of generative AI for your enterprise with "Understanding Generative AI for Business Leaders." This indispensable guide simplifies the complex world of AI, offering a beginner-friendly introduction and practical strategies for effective and ethical integration.

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.

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.

The COVID-19 outbreak has turned bedrooms into offices, pitted young against old, and widened the gaps between rich and poor, red and blue, the mask wearers and the mask haters. Some businesses - like home exercise company Peloton, video conference software maker Zoom, and Amazon - woke up to find themselves crushed under an avalanche of consumer demand. Others - like the restaurant, travel, hospitality, and live entertainment industries - scrambled to escape obliteration.

Superintelligence asks the questions: What happens when machines surpass humans in general intelligence? Will artificial agents save or destroy us? Nick Bostrom lays the foundation for understanding the future of humanity and intelligent life. The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. If machine brains surpassed human brains in general intelligence, then this new superintelligence could become extremely powerful - possibly beyond our control.

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.