[人人能懂] 从数据炼金到思维融合

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  

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[LG] The More You Automate, the Less You See: Hidden Pitfalls of AI Scientist Systems  

[Carnegie Mellon University]  

https://arxiv.org/abs/2509.08713  

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[LG] Merge-of-Thought Distillation  

[Zhejiang University & Inclusion AI]  

https://arxiv.org/abs/2509.08814  

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[CL] Verbalized Algorithms  

[MIT CSAIL & Marist University & UC Irvine]  

https://arxiv.org/abs/2509.08150  

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[LG] EvolKV: Evolutionary KV Cache Compression for LLM Inference  

[University of Chinese Academy of Sciences & ETH Zurich]  

https://arxiv.org/abs/2509.08315