你有没有想过，两个AI协作，能不能像科幻片里那样，直接“心灵感应”？我们又该如何判断，AI给出的正确答案，究竟是真懂了还是蒙对了？本期节目，我们将通过几篇最新论文，一起探索AI如何学会“读心术”进行合作，如何像侦探一样构建“逻辑闭环”，甚至如何从答案出发“倒着想”来优化学习。我们还会揭示AI为何会“越学越笨”，以及最聪明的AI或许拥有的终极能力——知道何时该“举手求助”。00:00:36 当机器学会了“读心术”00:05:58 你是怎么对的？比“你对不对”更重要00:10:35 先有答案，再有过程：AI推理的逆向工程学00:16:33 AI越学越笨？我们可能一开始就教错了00:22:49 聪明人的超能力：知道何时该“求助”本期介绍的几篇论文：[CL] Thought Communication in Multiagent Collaboration[CMU & Meta AI & MBZUAI]https://arxiv.org/abs/2510.20733---[LG] DAG-Math: Graph-Guided Mathematical Reasoning in LLMs[ University of Warwic & Google DeepMind & UC Berkeley]https://arxiv.org/abs/2510.19842---[LG] No Compute Left Behind: Rethinking Reasoning and Sampling with Masked Diffusion Models[Columbia University & New York University]https://arxiv.org/abs/2510.19990---[LG] KL-Regularized Reinforcement Learning is Designed to Mode Collapse[New York University & EPFL]https://arxiv.org/abs/2510.20817---[CL] Ask a Strong LLM Judge when Your Reward Model is Uncertain[Georgia Institute of Technology & Amazon]https://arxiv.org/abs/2510.20369

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“What did the council decide on item 42?” — answered with the speaker and the moment.

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