你是否想过，AI要如何才能像武林高手一样“左右互搏”，自己给自己出题，实现无限成长？当它学习一项新技能时，又要如何避免像我们一样，一紧张就把基本功忘得一干二净？更神奇的是，我们还将看到AI如何不靠开颅手术，就能精准“读懂”我们大脑里的句子。本期节目，我们将通过几篇最新论文，一起探寻AI世界里关于学习、成长与解决复杂问题的非凡智慧。

00:00:33 当AI学会“读心”，我们离未来还有多远？

00:07:00 突破成长天花板，AI如何学会“左右互搏”，做自己最好的老师？

00:12:39 告别“狗熊掰棒子”式的努力，从一台AI机器手的进化，看高手的“底层能力”构建

00:16:14 破局“好与快”的死结，从猜答案到重塑底层逻辑的认知飞跃

00:21:06 当麻烦“祸不单行”时，我们该如何破局？，，来自前沿AI算法的生存智慧

本期介绍的几篇论文：

[CL] Accurate Decoding of Natural Sentences from Non-Invasive Brain Recordings

[Meta AI & Université PSI]

https://arxiv.org/abs/2608.18114

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[CL] SPADE: Self-Play in Adaptive Synthetic Executable Environments

[University of Washington & Northeastern University & CMU]

https://arxiv.org/abs/2608.19197

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[RO] ADEPT: Accelerating Dexterity via Pre-Training and Post-Training using Reinforcement Learning

[NVIDIA]

https://arxiv.org/abs/2608.19182

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[AI] Coupled-cluster molecular properties across the main group that extrapolate beyond training size

[MIT]

https://arxiv.org/abs/2608.18346

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[LG] Continuous-Time Reinforcement Learning for Controlled Hawkes Jump-Diffusions

[UC Berkeley]

https://arxiv.org/abs/2608.19151