[人人能懂] AI的内功心法：少即是多，巧胜于拙

00:00:38 给AI的大脑做减法：一种聪明的“偷懒”智慧

00:04:34 你的数据正在“减肥”：人工智能时代的生存新法则

00:09:23 AI的“闭关修炼”：不给它网络，它能有多强？

00:13:07 给AI装上一个“语法”导航仪

00:16:49 AI的“通感”：为什么“我写的”和“我是作者”是一回事？

本期介绍的几篇论文：

[LG] XQuant: Breaking the Memory Wall for LLM Inference with KV Cache Rematerialization  

[UC Berkeley & FuriosaAI]  

https://arxiv.org/abs/2508.10395

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[LG] SoK: Data Minimization in Machine Learning  

[ETH Zurich]  

https://arxiv.org/abs/2508.10836

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[CL] SSRL: Self-Search Reinforcement Learning  

[Tsinghua University & Shanghai AI Laboratory]  

https://arxiv.org/abs/2508.10874

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[LG] Constrained Decoding of Diffusion LLMs with Context-Free Grammars  

[ETH Zurich]  

https://arxiv.org/abs/2508.10111

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[CL] A Rose by Any Other Name Would Smell as Sweet: Categorical Homotopy Theory for Large Language Models  

[Adobe Research]  

https://arxiv.org/abs/2508.10018