你有没有想过，让AI变得更聪明，关键可能不是让它知道得更多，而是教会它如何更高效地“思考”？本期我们要聊的几篇最新论文，就深入到了AI的思维深处：从让AI懂得“选择性遗忘”以实现长时间推理，到揭开决定AI学习成败的三个神秘“开关”。我们甚至会看到，机器人是如何通过“自言自语”来规划复杂任务的。准备好一起探索AI大脑的内部运作机制了吗？我们马上开始！

00:00:33 如何让AI长时间思考，还不“累”？

00:05:05 给你一个确定性的菜谱，靠谱吗？

00:10:44 你关心的问题，AI能比专家更快找到答案吗？

00:16:24 拆开AI的“黑箱”，决定它聪明的三个开关

00:22:50 机器人会思考，需要分几步？

本期介绍的几篇论文：

[CL] Prefix Sliding for efficient test-time scaling

[Stanford University & University of California at Santa Barbara & University of Washington]

https://arxiv.org/abs/2608.26070

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[LG] Beyond Optimal Rates in Stochastic Optimization: Trajectory-Adaptive Stopping Rules

[UC Berkeley & PSL Research University]

https://arxiv.org/abs/2608.25551

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[AI] Planetary Prediction Engine: Autonomous Geospatial Prediction via Intelligent Data Selection and Foundation Model Embeddings

[Google Research]

https://arxiv.org/abs/2608.26088

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[LG] Demystifying Reinforcement Learning Post-Training of Language Models

[University of Washington]

https://arxiv.org/abs/2608.24949

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[RO] R^3: Training Robots to Reason in Natural Language via Reinforcement Learning

[Carnegie Mellon University (CMU)]

https://arxiv.org/abs/2608.26053