你是否想过，最高效的学习，也许不是更努力，而是换一种更聪明的“偷懒”方式？本期我们要聊的几篇最新论文，就揭示了AI是如何通过找到失败的“关键转折点”，以及先给自己造一把快一万倍的“尺子”来解决问题的。我们还会看到，AI如何靠“即插即用”的翻译器实现跨界，如何用“聪明便签”实现过目不忘，又如何通过“先广后深”的学习策略，记住那些“远房亲戚”。准备好，让我们一起看看AI是如何“聪明地”学习和工作的。00:00:37 学习的高手，不纠结结果，只找“转折点”00:06:01 AI的“跨界”超能力：不开刀，怎么换个“脑子”？00:12:14 AI解难题的秘诀：先造一把更快的“尺子”00:17:59 AI读书“过目不忘”的秘密：往书里加点“聪明便签”00:23:04 AI的“寻根问祖”难题：为什么它总忘了远房亲戚？本期介绍的几篇论文：[LG] GPO: Learning from Critical Steps to Improve LLM Reasoning [Northwestern University & Meta AI] https://arxiv.org/abs/2509.16456 ---[CL] Can LLMs Reason Over Non-Text Modalities in a Training-Free Manner? A Case Study with In-Context Representation Learning [Nanyang Technological University & MIT] https://arxiv.org/abs/2509.17552 ---[LG] Reinforced Generation of Combinatorial Structures: Applications to Complexity Theory [UC Berkeley & Google & Google DeepMind] https://arxiv.org/abs/2509.18057 ---[CL] Language Modeling with Learned Meta-Tokens [University of Pennsylvania & IBM Research AI] https://arxiv.org/abs/2509.16278 ---[IR] Hierarchical Retrieval: The Geometry and a Pretrain-Finetune Recipe [Google] https://arxiv.org/abs/2509.16411

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

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