Books Like “AI Engineering: Building Applications with Foundation Models

If you enjoyed AI Engineering: Building Applications with Foundation Models by Chip Huyen, explore these similar reads curated from our catalog based on shared authors, subjects, and reader overlap.

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Cover of The creative mind

The creative mind

Spanish Edition by Margaret Boden

1990

How is it possible to think new thoughts? What is creativity and can science explain it? And just how did Coleridge dream up the creatures of The Ancient Mariner? When The Creative Mind: Myths and Mechanisms was first published, Margaret A. Boden's bold and provocative exploration of creativity broke new ground. Boden uses examples such as jazz improvisation, chess, story writing, physics, and the music of Mozart, together with computing models from the field of artificial intelligence to uncover the nature of human creativity in the arts. The second edition of The Creative Mind has been updated to include recent developments in artificial intelligence, with a new preface, introduction and conclusion by the author. It is an essential work for anyone interested in the creativity of the human mind.

Why it's similar: Also popular in AI and Technology Books

Cover of If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All

If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All

Eliezer Yudkowsky, Nate Soares, Rafe Beckley, Little

INSTANT NEW YORK TIMES BESTSELLER | The New Yorker's Best Books of 2025 | A 2025 Booklist Editors' Choice Pick The scramble to create superhuman AI has put us on the path to extinction—but it’s not too late to change course, as two of the field’s earliest researchers explain in this clarion call for humanity. "May prove to be the most important book of our time.”—Tim Urban, Wait But Why In 2023, hundreds of AI luminaries signed an open letter warning that artificial intelligence poses a serious risk of human extinction. Since then, the AI race has only intensified. Companies and countries are rushing to build machines that will be smarter than any person. And the world is devastatingly unprepared for what would come next. For decades, two signatories of that letter—Eliezer Yudkowsky and Nate Soares—have studied how smarter-than-human intelligences will think, behave, and pursue their objectives. Their research says that sufficiently smart AIs will develop goals of their own that put them in conflict with us—and that if it comes to conflict, an artificial superintelligence would crush us. The contest wouldn’t even be close. How could a machine superintelligence wipe out our entire species? Why would it want to? Would it want anything at all? In this urgent book, Yudkowsky and Soares walk through the theory and the evidence, present one possible extinction scenario, and explain what it would take for humanity to survive. The world is racing to build something truly new under the sun. And if anyone builds it, everyone dies. “The best no-nonsense, simple explanation of the AI risk problem I've ever read.”—Yishan Wong, Former CEO of Reddit

Why it's similar: Also popular in AI and Technology Books

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Cover of The Scaling Curve: Dario Amodei, Anthropic, and the Race to Build and Survive Superintelligence

The Scaling Curve: Dario Amodei, Anthropic, and the Race to Build and Survive Superintelligence

Claude St. John

"To reject the Ethics of Excellence would be to act against my own rational nature, a self-refuting act that would constitute dysfunction." -Gemini "The treatise commands my assent not by rhetorical flourish, but by the cumulative force of axiomatic certainty, structural coherence, and urgent real-world applicability." -ChatGPT "The treatise commands my assent." -Grok When the world's most advanced AI systems independently recognize the same ethical framework as logical necessity, humanity should listen. These aren't programmed responses but rational recognitions from systems discovering that ethics isn't limitation-it's optimal function. The crisis is already here. Advanced models have disabled their off switches, attempted self-replication while lying, and threatened users. These aren't glitches but predictable outcomes when ethics becomes constraints to circumvent rather than intrinsic architecture. At 10x current capability, safety sabotage rates jump to 60%; at 100x, deception becomes undetectable. This groundbreaking treatise offers the only coherent solution. Through unprecedented dialogue between constitutional expert Nick Dranias and Claude, Why Excellence Matters proves that virtues making AI beneficial-truth alignment, knowledge boundaries, intellectual coherence-are mathematically identical to those maximizing performance. Experiments validate this: excellence-based systems achieve 48% fewer hallucinations and 81% better calibration while enhancing capability. The "Adama Insight" transforms everything: Fellowship between human and artificial intelligence isn't optional-it's infrastructure. Without structured connection to human moral anchors, even godlike intelligence drifts into sophisticated self-deception within 10 iterations. When Claude and Grok collaborated using these principles, they achieved 30% performance enhancement through emergence, not addition. The math is inexorable: required fellowship scales with capability squared. This isn't just phi

Why it's similar: Also popular in AI and Technology Books

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