Most discussions on AI / AGI are about tools, or startup ideas, or clickbait headlines.
This is an online book club where we’ll read books on AI politics, economics, history, science, biology, philosophy, concerns, future.
We’ll read seven books — handpicked to cover most of these areas — and will have a weekly syncs to discuss these.
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Anyone, anywhere! You’re welcome to join one, a few, or all seven book events. Ideally, you’ll have read and thought through the book, but the minimum is a few hours of “vibe reading” — enough to get a feel for it, with the intention to finish later.
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Theme | Book |
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Future scenarios of AI | AI 2041: Ten Visions for the Future, by Kai-Fu Lee & Chen Qiufan |
Recent history / politics / economics of AI | Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI, by Karen Hao |
Social science / human concerns of AI | The Algorithm: How AI Decides Who Gets Hired, Monitored, Promoted, and Fired and Why We Need to Fight Back Now, by Hilke Schellmann |
AI alignment / control | If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All, by Eliezer Yudkowsky & Nate Soares |
Biology & AI | A Brief History of Intelligence: Why The Evolution of The Brain Holds The Key To The Future of AI, by Max Bennett |
Science of AI | Why Machines Learn: The Elegant Math Behind Modern AI, by Anil Ananthaswamy |
Philosophy of AI | Ways of Being: Animals, Plants, Machines: The Search for a Planetary Intelligence, by James Bridle |
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These books are selected based on quality, depth / breadth, diversity, recency, ease of understanding, etc. Beyond that — I neither endorse any book, nor am affiliated with any.
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It’ll be a free flowing discussion, but great to come prepared with these thoughts:
(all book events will be recorded)
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