你有没有想过，聪明的AI也需要“成本意识”来做决策吗？本期内容，我们将一起探索几篇有趣的最新论文。我们会看到AI如何像精明的生意人一样学会“算账”，又如何像严谨的科学家一样，在未知领域做出有“误差保证”的可靠预测。接着，我们会发现AI绘画的新玩法，它竟然像是在玩一场二进制的填字游戏。最后，我们将揭秘，打造一个跑酷机器人高手，原来只需要聪明的“三步走”。准备好了吗？让我们一起出发！00:00:27 聪明人，更懂算账，AI决策的“成本意识”是怎么炼成的？00:06:21 AI算命，如何从“猜”到“算”？00:12:38 AI绘画新思路，画画，其实是在玩填字游戏00:17:38 造一个跑酷高手，分几步？00:23:45 AI画画，如何从“猜”到“查”？本期介绍的几篇论文：[CL] Calibrate-Then-Act: Cost-Aware Exploration in LLM Agents [New York University] https://arxiv.org/abs/2602.16699 ---[LG] BEACONS: Bounded-Error, Algebraically-Composable Neural Solvers for Partial Differential Equations [Princeton University & Princeton Plasma Physics Laboratory] https://arxiv.org/abs/2602.14853 ---[CV] BitDance: Scaling Autoregressive Generative Models with Binary Tokens [ByteDance] https://arxiv.org/abs/2602.14041 ---[RO] Perceptive Humanoid Parkour: Chaining Dynamic Human Skills via Motion Matching [Amazon FAR] https://arxiv.org/abs/2602.15827 ---[CV] Image Generation with a Sphere Encoder [Meta & University of Maryland] https://arxiv.org/abs/2602.15030

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

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