你有没有想过，一群“健忘”的AI如何自发形成群体智慧？我们又该如何为AI量身定做一套“习题集”，培养出“四两拨千斤”的编程高手？本期节目，我们将一起探究几篇最新论文，看看科学家是如何通过“画地图”式的新方法进行信息检索，如何给AI做“信念体检”来判断它是否言行一致，以及如何引导AI从一团乱麻的“噪点”中走出清晰的思考路径。准备好，让我们一起解码AI思考与学习的底层智慧！00:00:36 AI界的“四两拨千斤”，如何养出一个小个子编程高手？00:05:48 AI的群体智慧，一个动作解释所有00:11:12 信息检索的内功，从存照片到画地图00:17:19 AI有“信念”吗？一张体检表告诉你答案00:22:42 从一团乱麻到清晰答案的思考路径本期介绍的几篇论文： [AI] FrogNano: Training a 4B Coding Agent via Online Task Synthesis[Froggy Team – Microsoft Research Montréal]https://arxiv.org/abs/2609.07925 ---[CL] Copying explains the collective behavior of AI agents in the wild[University of Konstanz & Intesa Sanpaolo]https://arxiv.org/abs/2609.09150 ---[IR] Generative Late-Interaction Embeddings For Visual Document Retrieval[King Abdullah University of Science and Technology (KAUST)]https://arxiv.org/abs/2609.11808 ---[AI] Beliefs and Behavior in Language Models[Toulouse School of Economics & CMU]https://arxiv.org/abs/2609.07943 ---[LG] Thinking with Looped Flows[EPFL & KAIST & University of Amsterdam]https://arxiv.org/abs/2609.11801 在小宇宙查看该单集文稿

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

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