00:00:25 AI的“炼金术”：如何把“废料”变成“燃料”？00:04:50 AI替你搞科研，是馅饼还是陷阱？00:09:44 人多不一定力量大，但“脑子”多可以00:14:17 给AI当老板，你只需要做好一件事00:18:20 AI的“减肥”秘籍：高手做事，不在于“多”，而在于“准”本期介绍的几篇论文：[LG] Generative Data Refinement: Just Ask for Better Data [Google DeepMind] https://arxiv.org/abs/2509.08653 ---[LG] The More You Automate, the Less You See: Hidden Pitfalls of AI Scientist Systems [Carnegie Mellon University] https://arxiv.org/abs/2509.08713 ---[LG] Merge-of-Thought Distillation [Zhejiang University & Inclusion AI] https://arxiv.org/abs/2509.08814 ---[CL] Verbalized Algorithms [MIT CSAIL & Marist University & UC Irvine] https://arxiv.org/abs/2509.08150 ---[LG] EvolKV: Evolutionary KV Cache Compression for LLM Inference [University of Chinese Academy of Sciences & ETH Zurich] https://arxiv.org/abs/2509.08315

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

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