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]
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[CL] Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference
[ByteDance Seed & Tsinghua University]
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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]
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[CL] R-Zero: Self-Evolving Reasoning LLM from Zero Data
[Tencent AI Seattle Lab]
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[LG] Decomposing Representation Space into Interpretable Subspaces with Unsupervised Learning
[Saarland University]
![[人人能懂] AI的“思考”是幻觉吗?让我们一起窥探真相](https://image.xyzcdn.net/FuDP4HpAp8ezgVZMmEel3mblKCmJ.jpg@small)