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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.

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.

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.

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.

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.

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.

To ensure that applications are reliable and always available, more businesses today are moving applications to AWS. But many companies still struggle to design and build these cloud applications effectively. With this practical guide, software, DevOps, and cloud engineers will learn how to implement resilient designs and configurations in the cloud using hands-on independent labs.

In the age of artificial intelligence, drafting an essay is as simple as typing a prompt and pressing enter. What does this mean for the art of writing? According to longtime writing teacher John Warner: not very much. More Than Words argues that generative AI programs like ChatGPT not only can kill the student essay but should, since these assignments don’t challenge students to do the real work of writing. To Warner, writing is thinking—discovering your ideas while trying to capture them on a page—and feeling—grappling with what it fundamentally means to be human.

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.

企業の新人研修にも即使える「新人エンジニア向け教科書」第3版！低予算や短納期、多様化するIT技術など、システム開発を取り巻く環境は厳しくなる一方です。

From “brainrot” memes and incel slang to the trend of adding “-core” to different influencer aesthetics, the internet has ushered in an unprecedented linguistic upheaval. We’re entering an entirely new era of etymology, heralded by the invisible forces driving social media algorithms. Thankfully, Algospeak is here to explain. As a professional linguist, Adam Aleksic understands the gravity of language and the way we use it: he knows the ways it has morphed and changed, how it reflects society, and how, in its everyday usage, we carry centuries of human history on our tongues.

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.

Author Brendan Burns demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system. This fully updated second edition includes new chapters on AI inference, AI training, and building robust systems for the real world.

We are surrounded by emoji. They appear in politics, movies, drug deals, our sex lives, and more. But emoji's impact has never been explored in full. In this rollicking tech and pop culture history, Keith Houston follows emoji from its birth in 1990s Japan, traces its Western explosion in the 2000s, and considers emoji's ever-expanding lexicon. Named for the world's most popular pictogram, Face with Tears of Joy tells the whole story of emoji for the first time.

Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models.

With clear and trustworthy information, Networking All-in-One For Dummies is the perfect beginner's guide AND the perfect professional reference book. Small networks, large networks, business networks, cloud networks―it's all covered. Learn how to set up a network and keep it functioning, using Windows Server, Linux, and related technologies. This book also covers best practices for security, managing mobile devices, and beyond.

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.

What does the rapid rise and astonishing rate of improvement of AI mean for brands in the next five years? Listen to what OpenAI CEO Sam Altman told authors Adam Brotman and Andy Sack when he met them: "It will mean that 95 percent of what marketers use agencies, strategists, and creative professionals for today will easily, nearly instantly, and at almost no cost be handled by AI. No problem." Upon hearing that astonishing statement, the authors began a journey of discovery to understand what the transition to an AI first world would mean.