这一期，我们脑洞大开。你会听到，顶尖AI的大脑里，原来天天都在开激烈的辩论会；而训练AI，竟然就像呵护一个需要犯错、需要折腾的“青春期”。我们还会聊聊，如何用优雅的数学工具给AI一套更聪明的“橡皮泥”，如何让大模型退居幕后帮你“造”一个更高效的AI，以及，怎么判断AI老师的“板书”是不是真的靠谱。准备好了吗？让我们一起出发。00:00:33 AI建模，我们得到了一套更聪明的“橡皮泥”工具00:07:19 AI的大脑里，原来天天在开会00:12:55 聪明人的“笨功夫”，如何让AI帮你造一个AI？00:18:52 成大事者，为何要珍惜“犯错”的青春期？00:24:39 AI当老师，它的“板书”靠谱吗？本期介绍的几篇论文：[LG] Analytic Bijections for Smooth and Interpretable Normalizing Flows[University of Amsterdam]https://arxiv.org/abs/2601.10774---[CL] Reasoning Models Generate Societies of Thought[Google & University of Chicago]https://arxiv.org/abs/2601.10825---[LG] FORESTLLM: Large Language Models Make Random Forest Great on Few-shot Tabular Learning[National University of Singapore & Zhejiang University & University of British Columbia]https://arxiv.org/abs/2601.11311---[LG] Transient learning dynamics drive escape from sharp valleys in Stochastic Gradient Descent[Peking University & Zhejiang University]https://arxiv.org/abs/2601.10962---[CL] Do explanations generalize across large reasoning models?[Northeastern University & Microsoft Research]https://arxiv.org/abs/2601.11517

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

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