AI 研究者激辩:递归自我改进离我们还有多远
Dwarkesh Patel 播客新一期邀请 John Schulman、Beren Millidge 和 Charlie O'Neill 讨论递归自我改进(RSI)还有多远。Beren Millidge 认为最可能的阻碍是持续的 sim-to-real 差距和元学习泛化难题,John Schulman 则指出模型能力提升仍受判断力与自我检查瓶颈限制,难以带来爆炸式增长。
this data sitting around, I imagine there will be this big speed-up in the current paradigm we’re in. A good example of this is if you got an AI to think about the Kaplan scaling laws. An AI at this point would have noticed, “Oh, they’ve just taken these intermediate checkpoints and didn’t account for the annealing, and so this is wrong.” That would have been caught years earlier. We would have cut off a year or two of progress just from that observation from an AI. Again, once the objective is
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