Jeff Dean 离开 Google 后首次公开演讲，对谈 RSI 与自动化科学发现
Thanks for the great discussion, @dawnsongtweets!
在 Google 待了 27 年的 Jeff Dean 离职后首次开讲，聊 RSI、AI 安全和新创业公司方向。
Jeff Dean 在离开 Google 后首次公开亮相，他在 Google 工作了 27 年，参与过 MapReduce、Bigtable、TensorFlow、TPU 和 Gemini。这场对谈由 Dawn Song 主持，议题包括如何选择值得投入 5 年的研究问题、递归自我改进（RSI）可能的样子，以及编程经验对构建推理模型的启示。两人还讨论了科学发现循环逐步自动化后的影响，Jeff Dean 的新创业公司计划在这一方向上发力。对谈同时覆盖了 AI 自主性提升后的安全与可控问题，以及下一代研究者该做什么。
Thanks for the great discussion, @dawnsongtweets!
Thanks for the great discussion, @dawnsongtweets ! Dawn Song @dawnsongtweets I had the great honor and pleasure of sitting down with @JeffDean for his first public talk since leaving Google, where he spent an extraordinary 27 years. Few people have shaped modern computing and AI as profoundly - from MapReduce and Bigtable to TensorFlow, Mixture-of-Experts, TPUs, and Gemini. Our conversation covered some of the biggest questions shaping the future of AI: • How do you recognize a foundational idea before everyone else does? • How do you choose a research problem worth spending 5 years on? • What can coding teach us about building better reasoning models? • What might recursive self-improvement (RSI) actually look like? • What happens when the scientific discovery loop itself becomes increasingly automated? (and how is Jeff’s new startup going to contribute in this space?) • As AI becomes increasingly autonomous, how do we keep it safe and secure? • What should the next generation of researchers be working on? Here are some key insights and highlights for anyone building the future of AI. 🧵1/8 🔗 View Quoted Tweet 💬 2 🔄 4 ❤️ 55 👀 8040 📊 7 ⚡
