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
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[LG] EvoSLD: Automated Neural Scaling Law Discovery With Large Language Models
[Peking University & Tsinghua University]
https://arxiv.org/abs/2507.21184
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[LG] Teaching Language Models To Gather Information Proactively
[Microsoft]
https://arxiv.org/abs/2507.21389
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[LG] TriangleMix: A Lossless and Efficient Attention Pattern for Long Context Prefilling
[Microsoft Research]
https://arxiv.org/abs/2507.21526
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[LG] Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess
[University of Toronto]
https://arxiv.org/abs/2507.21488