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

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[CL] Reasoning Models Generate Societies of Thought

[Google & University of Chicago]

https://arxiv.org/abs/2601.10825

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[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

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[LG] Transient learning dynamics drive escape from sharp valleys in Stochastic Gradient Descent

[Peking University & Zhejiang University]

https://arxiv.org/abs/2601.10962

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[CL] Do explanations generalize across large reasoning models?

[Northeastern University & Microsoft Research]

https://arxiv.org/abs/2601.11517