Machines Who Think
A Personal Inquiry into the History and Prospects of Artificial Intelligence,
by Pamela McCorduck
Should I read this?
Recommended by 2 sources and appears in Most Recommended Books, Programming, and Technology.
This book is a history of Artificial Intelligence,, that audacious effort to duplicate in an artifact what we consider to be our most important propertyour intelligence. It is an invitation for anybody with an interest in the future of the human race to participate in the inquiry....
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Why recommended
Recommended by 2 sources and appears in Most Recommended Books, Programming, and Technology.
Recommended by notable people
People and public figures who have recommended this book.
Recommendation Signals
Recommendation proof is sourced from public posts, interviews, reading lists, and cited references.
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Not sure if this is the right fit?
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.”
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How recommendation signals are reviewed
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.







