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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.

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.

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, scientist and writer Adam Becker investigates these wildly implausible and often profoundly immoral visions of tomorrow to reveal why, in reality, there is no good evidence that they will, or should, come to pass.

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.

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.

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.

We like to think that we're gradually making progress towards equality. With the advent of ever more high-tech equipment at our fingertips, we tend to assume that progress will be hastened, as new technology is used in positive and democratising ways. But there is a new wave of technologies which threaten this notion. Deepfakes. The metaverse. Cyber brothels. With misogyny being baked into their design, these technologies are dragging women back to the dark ages.

Large language models (LLMs) are not just shaping the trajectory of AI, they're also unveiling a new era of security challenges. This practical book takes you straight to the heart of these threats. Author Steve Wilson, chief product officer at Exabeam, focuses exclusively on LLMs, eschewing generalized AI security to delve into the unique characteristics and vulnerabilities inherent in these models.

When it was released to the public in 2022, ChatGPT awakened the world to a secretive project: teaching A.I.-powered machines to write and talk like human beings. Its creators had a sweeping ambition—to get machines to communicate for us. But if this came to pass, would it be liberation or subjugation?

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.

Web系エンジニアになるための教科書が誕生!・需要と将来性・単価・スキルの可搬性・ワークスタイルの柔軟性・フリーランス案件の充実度・他の職種との掛け算の容易性・ジョブチェンジの実現性・オンライン上での業務の完結性

In this accessible introduction to AI, Sean O'Callaghan and Paul Hoffman explore its social and ethical impacts for ministry and teaching. The authors shed light on the biblical vision for human flourishing—and on how AI can help or hinder that flourishing. Avoiding both alarmism and uncritical acceptance, O'Callaghan and Hoffman offer resources and practical tools for using AI in our classrooms and congregations.

While traditional drugs mostly help us manage the effects of disease, cell therapies promise genuine cures for a broad range of intractable ailments, from Alzheimer’s to heart damage to cancer. They could even reverse the effects of aging. For the first time in history, on an unprecedented scale, we possess the power to modify the biology that gives rise to disease, ultimately restoring individuals to a state of normalcy and reversing debilitating ailments. Former FDA Commissioner Scott Gottlieb traces the scientific achievements that propelled progress in cell therapies.

A defense technology expert and military leader reveals the future of robotic warfare, and illuminates the path to navigate the approaching storm of global change.

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.

アメリカの研究者が確認！STAP細胞は本当に存在した！マスコミ総がかりでリンチしたSTAP細胞騒動の闇と光

The question TRANSCEND answers is, how can we use Al to unlock humanity's full potential while protecting what is most precious about the human experience? As humanity takes its first steps into the Age of Artificial Intelligence, we are only just beginning to think through the possibilities and the dangers this technology brings. But we do not have time for leisurely speculation. AI will overturn the world we know in our lifetimes, and we must prepare ourselves to meet the unprecedented changes that will soon be upon us.

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.

ChatGPTを使ったことのない人、必読！漫画つきでわかりやすく、ChatGPTとの付き合い方を解説した一冊。仕事・生活・学び・遊びなどでの豊富な活用例を通して、ChatGPTの使い方のイメージを広げましょう。

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.