Thinking Machines· @thinkymachines · X·· 19 天前AI 评分42
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我们自己的 @johnschulman2 与 Dwarkesh 对话，讨论随着模型不断进步和自我改进，人类判断力在哪些方面仍然重要：教它们处理混乱的现实世界任务，用品味判断什么在长期内有效，以及最重要的——明确我们真正想要什么。
正文
Our own @johnschulman2 talks with Dwarkesh about where human judgment still matters as models improve and self-improve: teaching them to handle messy real-world tasks, applying taste to what works in the long run, and, above all, specifying what we actually want.
New episode with @johnschulman2, @oneill_c and @BerenMillidge. I got together with some of the most insightful AI researchers I know who are at the openish companies, because I wanted to hear the details of what's actually happening at the frontier and what comes next. 0:00:00 – Steelmanning the case against RSI 0:18:39 – What’s driving the Chinese labs’ progress 0:28:06 – How will automated AI researchers be trained 0:33:51 – Will long-horizon RL elicit AGI? 0:45:24 – The sim-to-real gap 1:00:33 – How much progress is explained by data? 1:18:03 – Why is RL working so well? 1:24:54 – Move 37 and entropy collapse 1:28:31 – Rapid-fire timelines在 X 查看被引用的帖子
来源：Thinking Machines · x.com