00:00:27 高手过招：抄作业还是自己闯？00:04:38 AI也会“喜新厌旧”？高手是如何做到“学而不忘”的00:09:36 让AI学会“脑补”，速度提升5倍的秘密00:13:45 AI的“开窍”秘诀：如何让机器学会举一反三？00:17:53 聪明反被聪明误？AI的“笨办法”本期介绍的五篇论文：[LG] Towards a Unified View of Large Language Model Post-Training [Tsinghua University] https://arxiv.org/abs/2509.04419 ---[LG] RL's Razor: Why Online Reinforcement Learning Forgets Less [MIT] https://arxiv.org/abs/2509.04259 ---[LG] Set Block Decoding is a Language Model Inference Accelerator [FAIR at Meta] https://arxiv.org/abs/2509.04185 ---[LG] ArcMemo: Abstract Reasoning Composition with Lifelong LLM Memory [University of California, San Diego] https://arxiv.org/abs/2509.04439 ---[LG] Learning When to Plan: Efficiently Allocating Test-Time Compute for LLM Agents [University College London & University of Oxford] https://arxiv.org/abs/2509.03581

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

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