00:00:32 你的夸奖，正在“毒害”AI 00:05:22 数据大扫除：不止是扔垃圾，更是换风格00:10:55 AI的“世界观”：它如何从零开始看懂现实？ 00:15:46 AI的“省钱攻略”：如何花小钱办大事？ 00:20:27 喂养AI的新艺术：从“吃什么”到“怎么吃” 本期介绍的无篇文章：[LG] Off-Policy Corrected Reward Modeling for Reinforcement Learning from Human Feedback [The University of Tokyo and RIKEN AIP] https://arxiv.org/abs/2507.15507 ---[LG] Distributional Unlearning: Forgetting Distributions, Not Just Samples [EPFL & Stanford University] https://arxiv.org/abs/2507.15112 ---[LG] Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning [Max Planck Institute for Intelligent Systems & University of Tübingen] https://arxiv.org/abs/2507.14748 ---[CL] Towards Compute-Optimal Many-Shot In-Context Learning [Google Cloud AI Research] https://arxiv.org/abs/2507.16217 ---[LG] LLM Data Selection and Utilization via Dynamic Bi-level Optimization [University of Chinese Academy of Sciences & Huawei Noah’s Ark Lab] https://arxiv.org/abs/2507.16178

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“What did the council decide on item 42?” — answered with the speaker and the moment.

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