你是否想过，AI不仅能当助手，更能成为科学家的“寻宝图”，预测未来的新发现？本期我们将一起探讨，AI如何学会从“挤牙膏”式写作进化到“一步到位”的神奇魔法，并首次“窥探”它的大脑，看看它是否真的理解了“2+5”和“二加五”的区别。我们还会揭示，如何通过一张“地图”让AI读懂万卷书，以及它学习掌握“祖传手艺”的秘密。

00:00:29 AI 如何成为科学家的「寻宝图」

00:06:12 语言模型，告别“挤牙膏”时代

00:11:33 会做“2+5”，为何不会“二加五”？我们终于有办法偷看AI的大脑了

00:17:29 给AI一张地图，它能更好地为你读书

00:21:54 AI如何拥有“祖传手艺”？

本期介绍的几篇论文：

[LG] Hakken: Predicting future discoveries to fill the gaps in today's knowledge

[SonyAI]

https://arxiv.org/abs/2609.04494

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[LG] Distilled Continuous Diffusion Language Models Can Write Code in Few Steps---or One

[Duke University & Tsinghua University]

https://arxiv.org/abs/2609.04531

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[CL] Shared circuits predict whether LLMs generalize across formats in arithmetic reasoning

[MIT]

https://arxiv.org/abs/2609.04463

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[AI] STAIR (STructure Aware Information Retriever): A novel dataset and LLM based retriever for document structure augmentation

[IBM]

https://arxiv.org/abs/2609.03874

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[AI] SkillGLoW: Procedural-Family Skill Consolidation for Self-Improving Agents on Long-Horizon Task Streams

[National University of Singapore & Institute of Advanced Intelligence and Computing (IAIC)]

https://arxiv.org/abs/2609.02217