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