00:00:34 AI侦探养成记：如何让机器学会“死磕到底”？

00:04:22 AI也需要“元学习”：如何打造一把能开万能锁的钥匙？

00:07:56 拆解AI大脑：它如何学会“绕个弯”解决问题？

00:12:21 AI学会“举一反三”的秘密：两层楼就够了？

00:16:34 AI思考的秘密：为什么“少”就是“多”？

本期介绍的五篇论文：

[CL] Beyond Ten Turns: Unlocking Long-Horizon Agentic Search with Large-Scale Asynchronous RL  

[Tsinghua University]  

https://arxiv.org/abs/2508.079  

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[LG] AdaptFlow: Adaptive Workflow Optimization via Meta-Learning  

[Peking University & University of Chinese Academy of Sciences]  

https://arxiv.org/abs/2508.08053  

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[LG] Multi-head Transformers Provably Learn Symbolic Multi-step Reasoning via Gradient Descent  

[CMU & UPenn & OSU]  

https://arxiv.org/abs/2508.08222  

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[LG] What One Cannot, Two Can: Two-Layer Transformers Provably Represent Induction Heads on Any-Order Markov Chains  

[MIT & EPFL & UC Berkeley]  

https://arxiv.org/abs/2508.07208  

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[CL] Less Is More: Training-Free Sparse Attention with Global Locality for Efficient Reasoning  

[Princeton University & CMU]  

https://arxiv.org/abs/2508.07101