AI Industry Leaders Speak Out in Long-Awaited Translation! New Book: 'How Will AI Change the World? A Future Decoded from the Testimonies of the People Who Built AI'

Shoeisha Co., Ltd. (Headquarters: 5 Funamachi, Shinjuku-ku, Tokyo; President and Representative Director: Kaoru Usui) will release a new book, 'How Will AI Change the World? A Future Decoded from the Testimonies of the People Who Built AI', on June 10, 2026. This book is a collection of insights from leading CEOs, Chief Scientists, and researchers at the forefront of the AI revolution, discussing key issues in AI.

Praise from Yutaka Matsuo (Professor, University of Tokyo Graduate School)!

A young genius interviewer delves into the minds of AI industry leaders.

The world has changed dramatically with the advent of generative AI. Even now, massive investments are being poured into AI development, and its capabilities are constantly improving.

Is the future one where AI solves all problems?

This book is a curated translation of interviews with top AI industry leaders conducted by a young genius interviewer selected for 'TIME100 AI', praised by Jeff Bezos and Mark Zuckerberg. The interviews are organized by theme.

CEOs, Chief Scientists, and researchers from OpenAI, Google DeepMind, Anthropic, Meta, and other organizations at the forefront of the AI revolution discuss everything from the technical limitations and prospects of AI to its impact on humanity and the economy, and the future where AGI (Artificial General Intelligence) is realized.

Chapter 1 covers the concept of scaling, including how LLMs are built and whether previously used methods remain effective for larger models.

Chapter 2 discusses evals (evaluation frameworks), the science of verifying LLM capabilities, and Chapter 3 reveals what is happening inside large language models.

Chapter 4 explores the safety and alignment of generative AI, while Chapter 5 considers the investment and resources needed for further progress.

Chapter 6 addresses the impact of current systems on the world, and Chapter 7 considers a scenario where AI accelerates AI research itself, leading to an explosive increase in improvement speed. Finally, in Chapter 8, the interviewees predict when this technology will reach human-level versatility.

This is a must-read for understanding the essence of the AI revolution from the front lines of Silicon Valley.

'This book explains the scaling law – the most important concept for understanding current AI trends.

Why are semiconductors necessary? Why is electricity necessary? Why is the world so enthusiastic about investing in AI? You can understand this through the dialogues of the world's leading entrepreneurs, engineers, and researchers.

Raw conversations from Silicon Valley are filled with various technical terms, hypotheses, and future predictions, allowing you to glimpse the future of AI and humanity through these vivid discussions.

This is a must-read to see the landscape of the AI revolution from the front lines of Silicon Valley.'

Yutaka Matsuo (Professor, University of Tokyo Graduate School)

▼Main Characters

Dario Amodei (Co-founder and CEO, Anthropic)

Demis Hassabis (Co-founder and CEO, Google DeepMind)

Ilya Sutskever (Co-founder, Safe Superintelligence Inc. / former Chief Scientist, OpenAI)

Eliezer Yudkowsky (Co-founder, AI safety research institute MIRI)

Mark Zuckerberg (Chairman and CEO, Meta)

And many others

■Book Overview

'How Will AI Change the World? A Future Decoded from the Testimonies of the People Who Built AI'

Original Author: Dwarkesh Patel

Translation: Quipe Co., Ltd.

Release Date: June 10, 2026

Price: 3,080 yen (2,800 yen + 10% tax)

Specifications: A5, 328 pages

https://www.shoeisha.co.jp/book/detail/9784798194288

Available at bookstores and online bookstores nationwide

・Shoeisha's online store SEshop: https://www.seshop.com/product/detail/27537

・Amazon: https://www.amazon.co.jp/dp/479819428X

■Table of Contents

Preface

Basic Knowledge of Machine Learning

Chapter 1 The Science of Scaling: Why Does Adding Lots of Data Make It Work?

Chapter 2 Evaluating Large Language Models: How to Evaluate a 'Black Box'?

Chapter 3 Inside Large Language Models: What is Happening Inside the Model?

Chapter 4 How to Handle Generative AI Technology: How to Control Something Smarter Than Yourself?

Chapter 5 Investment and Resources for AGI: The 1 Trillion Cluster Concept and Reality

Chapter 6 Social Impact of AI: What is About to Happen in the World?

Chapter 7 Intelligence Explosion: What if Intelligence Creates Better Intelligence?

Chapter 8 When Will AGI Be Realized?

Conclusion

■Author Profile

Dwarkesh Patel

An Indian-American writer and podcaster based in the United States. He is the host of the 'Dwarkesh Podcast', a long-form interview show focusing on artificial intelligence, science, and history.

In 2024, he was selected for TIME magazine's 'TIME100 AI' list of the 100 most influential people in AI.