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
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[LG] Distributional Unlearning: Forgetting Distributions, Not Just Samples
[EPFL & Stanford University]
https://arxiv.org/abs/2507.15112
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[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
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[CL] Towards Compute-Optimal Many-Shot In-Context Learning
[Google Cloud AI Research]
https://arxiv.org/abs/2507.16217
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[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