你有没有想过，AI的大脑不仅会思考，还懂得“断舍离”吗？今天，我们就一起带上“手术刀”和“显微镜”，深入AI的思维深处。我们将看到AI如何像高手一样整理思路，进行一场思考的“接力赛”；还将揭秘一把能解锁所有企业数据的“通用钥匙”。更重要的是，我们将学会一种理解AI的全新语言，并看看如何给它喂一种更聪明的“饲料”。准备好了吗？让我们一起撬开AI的黑箱！00:00:33 AI的“三段论”：它的大脑是如何整理信息的？00:05:52 让AI学会“断舍离”，它反而更聪明了00:10:45 解锁企业数据的“通用钥匙”00:16:44 解剖AI：从“你看不懂”到“我能看懂”00:22:22 喂AI，换一种更聪明的饲料本期介绍的几篇论文：[LG] Attention Sinks and Compression Valleys in LLMs are Two Sides of the Same Coin[University of Oxford]https://arxiv.org/abs/2510.06477---[LG] The Markovian Thinker[Mila]https://arxiv.org/abs/2510.06557---[LG] Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data[Stanford University]https://arxiv.org/abs/2510.06377---[CL] Semantic Regexes: Auto-Interpreting LLM Features with a Structured Language[MIT CSAIL & Apple]https://arxiv.org/abs/2510.06378---[CL] Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining Levels[Salesforce AI Research]https://arxiv.org/abs/2510.06499

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

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