00:00:31 AI的“思考”，会不会只是个高明的“学霸”？ 

00:04:41 AI写稿，快一点和好一点，哪个更重要？

00:09:15 AI进化论：如何把“草台班子”训练成“梦之队”？ 

00:13:51  AI的“左右互搏”：不靠人类，如何自我进化？

00:17:31  AI的“读心术”：我们能看懂它的“脑回路”吗？

本期介绍的五篇论文：

[LG] Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens  

[Arizona State University]  

https://arxiv.org/abs/2508.01191  

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[CL] Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference  

[ByteDance Seed & Tsinghua University]  

https://arxiv.org/abs/2508.02193  

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[CL] Multi-module GRPO: Composing Policy Gradients and Prompt Optimization for Language Model Programs  

[University of Notre Dame & Stanford University & UC Berkeley]  

https://arxiv.org/abs/2508.04660  

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[CL] R-Zero: Self-Evolving Reasoning LLM from Zero Data  

[Tencent AI Seattle Lab]  

https://arxiv.org/abs/2508.05004  

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[LG] Decomposing Representation Space into Interpretable Subspaces with Unsupervised Learning  

[Saarland University]  

https://arxiv.org/abs/2508.01916