00:00:34 AI也会“想多了”?聊聊机器的“顿悟”与“纠结”00:05:23 AI的“顿悟”时刻:为什么高手总在“瓶颈期”后迎来爆发?00:10:29 AI的大脑换食谱:不吃“山珍海味”,改吃“压缩饼干”00:16:16 给复杂世界建模:AI如何成为科学家的“超级学徒”00:20:44 顶尖高手的心法:如何一眼看出谁是“好学生”?本期介绍的五篇论文:[LG] MDPO: Overcoming the Training-Inference Divide of Masked Diffusion Language Models [University of Tübingen] https://arxiv.org/abs/2508.13148 ---[LG] Learning In-context n-grams with Transformers: Sub-n-grams Are Near-stationary Points [EPFL] https://arxiv.org/abs/2508.12837 ---[CV] Separating Knowledge and Perception with Procedural Data [MIT] https://arxiv.org/abs/2508.11697 ---[LG] Simulation-Based Inference: A Practical Guide [University of Tübingen] https://arxiv.org/abs/2508.12939 ---[CV] Dextr: Zero-Shot Neural Architecture Search with Singular Value Decomposition and Extrinsic Curvature [Friedrich-Alexander-Universität Erlangen-Nürnberg & Universität Ulm] https://arxiv.org/abs/2508.12977
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