How the Quest for the Ultimate Learning Machine Will Remake Our World
by Pedro Domingos
Recommended by public sources
Amazon availability
Recommended by 4 sources and appears in Most Recommended Books, Technology, and Art.
A thoughtprovoking and wideranging exploration of machine learning and the race to build computer intelligences as flexible as our ownIn the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In Th...
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Why recommended
Recommended by 4 sources and appears in Most Recommended Books, Technology, and Art.
People and public figures who have recommended this book.
Recommendation proof is sourced from public posts, interviews, reading lists, and cited references.
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Consider AI Superpowers by Kaifu Lee. Recommended by 20 sources.
“This book reads like a well-connected technologist’s urgent TED talk, blending personal career story, startup anecdotes, and macro predictions. What works best is a clear, alarm-bell view of China’s rapid AI rise and the coming job displacement, with tangible data and sector breakdowns. You’ll likely find it useful as a conversation starter or trend snapshot. But it often oversimplifies complex geopolitical and ethical tensions into a binary rivalry, and the determined optimism can feel boosterish. The tone may grate if you prefer nuanced, academic treatments or worry about the author’s business interests shaping the narrative.”
Each recommendation is collected from a public source — interviews, articles, or curated lists — and linked to its original URL. Books with many verifiable recommendations from respected people rank higher.
