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 ---[CL] Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference [ByteDance Seed & Tsinghua University] https://arxiv.org/abs/2508.02193 ---[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 ---[CL] R-Zero: Self-Evolving Reasoning LLM from Zero Data [Tencent AI Seattle Lab] https://arxiv.org/abs/2508.05004 ---[LG] Decomposing Representation Space into Interpretable Subspaces with Unsupervised Learning [Saarland University] https://arxiv.org/abs/2508.01916
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