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The Eureka Machine

Why AI Is the Key to Unlocking a New Era of Scientific Discoveries

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Contributors

By Richard Socher

Formats and Prices

On Sale
Sep 22, 2026
Page Count
288 pages
Publisher
PublicAffairs
ISBN-13
9781541705791

Price

$18.99

Price

$24.99 CAD

Format

  1. Hardcover

Format:

  1. ebook $18.99 $24.99 CAD
  2. Hardcover $30.00 $40.00 CAD

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An AI expert reveals the transformative potential of artificial intelligence to usher in a new era of scientific discovery.

“There is a lot being written about AI, but this is the first book dedicated to showing how AI makes science better.” —Kevin Kelly, New York Times bestselling author of The Inevitable

Researchers are publishing more papers than ever before, but human expertise has grown narrower and the rate of scientific progress is slowing.

AI will reverse this trend. AI pioneer Richard Socher argues that AI will usher in a century’s worth of breakthroughs in just the next decade as each stage of the scientific process—from hypothesis to experiment, from data to theory—is connected and transformed. The Eureka Machine pulls back the curtain on how AI is already revolutionizing fields as diverse as medicine, cell biology, economics, neuroscience, and astronomy. The results? Radically sped-up timelines for drug development, simulated life-forms accurate down to the subcellular level, and a nascent ability to read and record thoughts (even dreams!). Every branch of science will be transformed, but none more than the new science of intelligence itself. The future, predicts Socher, is a superintelligence that can continuously improve itself until it hits various theoretical upper bounds.

Essential reading for funders, founders, researchers, skeptics, and anyone curious about what the AI future will hold, The Eureka Machine reveals the foundation for a coming era of supercharged scientific discovery.

Genre:

  • Nonfiction
  • |
  • Computers Artificial Intelligence General

Richard Socher is the CEO and cofounder of Recursive, a company building self-improving superintelligence to automate knowledge discovery, and the CEO and founder of You.com, a web search infrastructure provider for AI. He is also the founder and managing partner of AIX Ventures, an AI venture capital firm. Socher was previously an adjunct professor of computer science at Stanford, where he received his PhD, and chief scientist and EVP at Salesforce, following the acquisition of his AI startup MetaMind. His pioneering research in natural language processing—including landmark work on word vectors and prompt engineering—has shaped how neural networks understand language. He lives in the Bay Area.

  • “This narrative of coming scientific and social transformations is remarkably astute and straightforward in charting how, exactly, a ‘new era’ is dawning and what its awesome technical dimensions might be. An insider’s richly detailed yet accessible view of AI’s positive potential.”
    Kirkus Reviews
  • “Grounded and accessible, this is a remarkable look at the present and some exciting possibilities for the future.” 
    Publishers Weekly, starred review
  • “Richard Socher built modern AI. Now he’s written the book that explains where it’s taking us.” 
    Steven Kotler, New York Times bestselling author of The Art of Impossible
  • “In the long run, AI will transform our lives by accelerating science. This is our Eureka Machine, and how it works is brightly presented in this readable book by Richard Socher. There is a lot being written about AI, but this is the first book dedicated to showing how AI makes science better.” 
    Kevin Kelly, New York Times bestselling author of The Inevitable
  • “Many books predict that AI will enable amazing discoveries in science and medicine. The Eureka Machine is the first clear exposition of how AI will not only facilitate discoveries in scientific fields but will make discoveries in the way we make them, improving the scientific method itself.” 
    Peter Norvig, coauthor of Artificial Intelligence: A Modern Approach
  • “The Eureka Machine is a clear-eyed look at how AI is shaping the future of science. It has already advanced the field in many ways, but as Richard Socher shows, the biggest changes are still to come. A fully realized AI system, such as Socher imagines, would be able to see blind spots and pose questions that would never occur to humans alone—and in the process, would open up new frontiers for science and knowledge.” 
    Tobias Dengel, Wall Street Journal bestselling coauthor of The Sound of the Future
  • “Richard Socher makes a compelling case that AI isn’t just another tool for scientists but a fundamentally new way of doing science, one that will keep evolving and improving. His optimism is infectious, making superintelligence something to look forward to, not fear.” 
    Andrew Hessel, coauthor of The Genesis Machine
  • “Richard Socher is one of the pioneers of artificial intelligence. His work in deep learning and natural language processing helped lay the foundation for today’s Agentic Revolution. In The Eureka Machine, Socher offers a powerful vision for how AI can transform the scientific process itself, accelerating discovery and unlocking breakthroughs that can improve lives around the world.” 
    Marc Benioff, chair, CEO, and cofounder, Salesforce
  • “The Eureka Machine is a compelling read. Standing against the swirling money of AI, Richard Socher offers something rarer: a scientist’s heartfelt and inspiring case for how AI can free science from its current sclerosis and open a new era of discovery that improves people’s lives.” 
    Christopher Manning, professor of machine learning, Stanford University

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Richard Socher

About the Author

Richard Socher is the CEO and cofounder of Recursive, a company building self-improving superintelligence to automate knowledge discovery, and the CEO and founder of You.com, a web search infrastructure provider for AI. He is also the founder and managing partner of AIX Ventures, an AI venture capital firm. Socher was previously an adjunct professor of computer science at Stanford, where he received his PhD, and chief scientist and EVP at Salesforce, following the acquisition of his AI startup MetaMind. His pioneering research in natural language processing—including landmark work on word vectors and prompt engineering—has shaped how neural networks understand language. He lives in the Bay Area.

Learn more about this author

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