jd_pressman on why learning complex specs fails: missing synthetic gradients
jd_pressman · x · 2026-11-09
AI 研究者 jdpressman 在回复中讨论了一个训练/学习规格(spec)设想的可行性瓶颈。他指出核心难点有两点:一是该规格的柯尔莫哥洛夫复杂度极高,无法直接写出,只能像普通深度学习那样通过某种并行梯度方法来学习;二是目前缺乏合成的良好梯度,难以将各组件分离训练。他还确认这并非反讽——他本人试玩过这个概念后认为当前不值得投入,已回去继续做 vapache 项目。
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