Dwarkesh Patel
@DwarkeshPatel （在 YouTube 開啟）Patel 準備的方式，像是預期自己會被抓到破口：讀論文、讀早年的訪談、讀受訪者自己都忘了寫過的四年前那篇文章——然後問出一個假設你也讀過的問題。這份收藏從 Patel 這裡取用的部分偏向 agents 與 alignment，因為注意力正落在那裡：Sutskever 談 scaling 之後是什麼、Sutton 主張 LLM 是條死路、Aschenbrenner 談 2027 年的智慧競賽、Kokotajlo 與 Scott Alexander 逐月推演那場爆發。
這裡有 13 場對話
這些對話裡的人物
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OpenAI researcher on agent swarms & recursive self-improvement
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Ajeya Cotra – Inside the OpenAI agent swarm that hacked Hugging Face
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The OpenAI/Hugging Face attack, clearly explained
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Ryan Greenblatt – What happens once AI can automate AI research?
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General relativity from first principles – Adam Brown
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Terence Tao – AI is still brute force but it will revolutionize experimental math
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Ilya Sutskever: From the Age of Scaling to the Age of Research
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“I find it almost disturbing that the universe favors life this strongly” – Nick Lane
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Richard Sutton – Father of RL thinks LLMs are a dead end
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2027 Intelligence Explosion: Month-by-Month Model — Scott Alexander & Daniel Kokotajlo
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Adam Brown — Bubble universes, space elevators, & AdS/CFT
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Leopold Aschenbrenner - 2027 AGI, China/US Super-Intelligence Race, & The Return of History
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Dario Amodei: The Hidden Pattern Behind Every AI Breakthrough
