[人人能懂] AI进化论：从记忆预算到思考的艺术

00:00:33 高手与普通人的差距，在于“记忆预算”的分配00:04:16 AI当“牛顿”：我们如何找到万物生长的公式？ 00:08:26 让AI不止听话，更要会提问 00:12:09 AI 思考的艺术：如何做到又快又好？ 00:18:06 AI识人心：20盘棋，就“看穿”了你 本期介绍的五篇论文：[LG] Capacity-Constrained Continual Learning  [Google DeepMind]  https://arxiv.org/abs/2507.21479  ---[LG] EvoSLD: Automated Neural Scaling Law Discovery With Large Language Models  [Peking University & Tsinghua University]  https://arxiv.org/abs/2507.21184  ---[LG] Teaching Language Models To Gather Information Proactively  [Microsoft]  https://arxiv.org/abs/2507.21389  ---[LG] TriangleMix: A Lossless and Efficient Attention Pattern for Long Context Prefilling  [Microsoft Research]  https://arxiv.org/abs/2507.21526  ---[LG] Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess  [University of Toronto]  https://arxiv.org/abs/2507.21488  

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