In 2023, hundreds of machine-learning scientists signed an open letter warning about our risk of extinction from smarter-than-human AI. Yet today, the race to develop superhuman AI is only accelerating, as many tech CEOs throw caution to the wind, aggressively scaling up systems they don't understand—and won’t be able to restrain. There is a good chance that they will succeed in building an artificial superintelligence on a timescale of years or decades. And no one is prepared for what will happen next.

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?

Recent breakthroughs in AI have not only increased demand for AI products, they've also lowered the barriers to entry for those who want to build AI products. The model-as-a-service approach has transformed AI from an esoteric discipline into a powerful development tool that anyone can use. Everyone, including those with minimal or no prior AI experience, can now leverage AI models to build applications. In this book, author Chip Huyen discusses AI engineering: the process of building applications with readily available foundation models.

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.

Über den Platz des Menschen in der heutigen Welt. Weil er über einen Geist verfügt, konnte der Mensch bis vor kurzem glauben, etwas Besonderes zu sein. Dann kam die Künstliche Intelligenz. Dass sie viele Aufgaben besser löst als wir, war für die Menschheit Versprechen und Kränkung zugleich: Das wäre dann die Vierte seit der kopernikanischen Wende, Darwins Evolutionstheorie und Freuds Entdeckung des Unbewussten. Haben sich die Ideen des Humanismus überlebt?

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.

Are we living in a simulation? MIT computer scientist Rizwan Virk draws from research and concepts from computer science, artificial intelligence, video games, quantum physics, and ancient mystics to explain why we may be living inside a simulated reality like the Matrix. The Simulation Hypothesis is the definitive book on simulation theory and is now completely updated to reflect the latest developments in artificial intelligence and virtual reality.

AI has acquired startling new language capabilities in just the past few years. Driven by rapid advances in deep learning, language AI systems are able to write and understand text better than ever before. This trend is enabling new features, products, and entire industries. With this book, listeners will learn practical tools and concepts they need to use these capabilities today.

We've arrived in a new era—GenAI is reshaping industries and decision-making processes across the board. As a result, understanding their potential and pitfalls has become crucial. But in order to stay ahead of the curve, you'll need to develop fresh perspectives on leveraging AI beyond mere technical know-how. Geared toward business leaders and tech professionals alike, this book demystifies the strategic integration of AI into business practices, ensuring you're equipped not just to participate but to lead in this new landscape.

Businesses that want to stay competitive know that AI has become a crucial technology—and so do their employees looking to grow their careers. Earning Microsoft's AI-900: Azure AI Fundamentals certification proves your proficiency with foundational AI concepts. This study guide equips you with the knowledge needed to pass the AI-900 exam, whether you're an IT professional, a data analyst, or a student looking to break into the AI field.

An upcoming book to be published by Pengin Random House.

When longtime AI expert and 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, it was meant, its leader Sam Altman told us, to act as a check against more purely market forces. In exhilarating prose and with unparalleled access to those closest to Sam Altman, Hao recounts the meteoric rise of OpenAI and shows us the sinister impact that this industry is having on society.

Drawing from her experience at Google and Meta, Dr. Marily Nika delivers the definitive guide for product managers building AI and GenAI powered products. Packed with smart strategies, actionable tools, and real-world examples, this book breaks down the complex world of AI agents and generative AI products into a playbook for driving innovation to help product leaders bridge the gap between niche AI and GenAI technologies and user pain points.

Alex Vail took a sabbatical from his job on the board of one of the country's leading manufacturers to conduct several research projects, including the largest ever study into the UK's corporate AI capabilities. In total, he surveyed 234 senior leaders and interviewed 92 executives from FTSE350 companies to identify why digital transformations succeed or fail; the data dependency of organisations; and their levels of data literacy at senior levels.

In The AI Con, the renowned AI insiders-turned-critics Emily M. Bender and Alex Hanna, offer a sharp, witty, and wide-ranging take-down of AI hype across all its forms, exposing it for what it really is: a mask for data theft, surveillance capitalism, and the devaluing of human creativity in order to replace meaningful work with jobs that treat people like machines.

In The Intelligence Explosion, James Barrat, a leading technology expert, equips listeners with the tools to navigate the complex and often chaotic landscape of modern AI. This compelling book dives deep into the challenges posed by generative AI, exposing how tech companies have built systems that are both error-prone and impossible to fully interpret. Through insightful interviews with AI pioneers, Barrat highlights the unstable trajectory of AI development, showcasing its potential for modest benefits and catastrophic consequences.

Taking us beyond the confines of our own experiences, The Color of North traverses the kingdom of life to uncover the myriad ways that proteins shape us and all organisms on the planet. Inside every cell, a tight-knit community of millions of proteins skillfully contorts into unique shapes to give fireflies their ghostly glow, enable the octopus to see predators with its skin, and make humans fall in love.

In Scaling Responsible AI: From Enthusiasm to Execution, celebrated speaker, AI strategist, and tech visionary Noelle Russell delivers an exciting and fascinating new discussion of how to implement artificial intelligence responsibly, ethically, and profitably at your organization. Responsible AI promises immense opportunity, but unguided enthusiasm can unleash serious risks. Learn how to implement AI ethically and profitably at your company with Scaling Responsible AI.

The most influential inventor of the modern world, Sir Tim Berners-Lee is a different kind of visionary. Born in the same year as Bill Gates and Steve Jobs, Berners-Lee famously shared his invention, the World Wide Web, for no commercial reward. Its widespread adoption changed everything – transforming humanity into the first digital species. Through the web, we live, work, dream and connect.

Les enjeux et les impacts des dernières générations d'intelligence artificielle décryptés par un spécialiste mondial de l'IA. ChatGPT vous enthousiasme et vous effraie tout à la fois ? À entendre ses promoteurs, les capacités de l'intelligence artificielle seraient dès aujourd'hui sans limite. Luc Julia nous emmène dans un voyage au centre de l'IA, de son histoire et de son potentiel. Il déconstruit les idées reçues les plus répandues, à commencer par celle selon laquelle les IA génératives seraient créatives.