[人人能懂] AI的“手艺人”精神：从模仿、练习到顿悟

00:01:33 “差生”配对，如何“炼”出优等生？ 00:06:09 AI的“刻意练习”：怎样探索才最高效？ 00:10:19 让AI学会顶尖“手艺活”，这事儿靠谱吗？ 00:14:35 黑箱里的光：我们好像找到了AI学习的秘密开关 00:19:47 AI 程序员的“心事”：它真的懂你的需求吗？ 今天介绍的五论文：[LG] The Delta Learning Hypothesis: Preference Tuning on Weak Data can Yield Strong Gains[University of Washington]https://arxiv.org/abs/2507.06187---[LG] Epistemically-guided forward-backward exploration[ETH Zurich & University of Tübingen]https://arxiv.org/abs/2507.05477---[LG] AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs[Tsinghua University]https://arxiv.org/abs/2507.05687---[LG] FACT: the Features At Convergence Theorem for neural networks[MIT & UCSD & UC Berkeley]https://arxiv.org/abs/2507.05644---[CL] Coding Triangle: How Does Large Language Model Understand Code?[Shanghai AI Laboratory]https://arxiv.org/abs/2507.06138

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