想知道AI如何学会给自己准备“B计划”以防不测，又如何像个聪明的财务顾问一样在预算内做出最优决策吗？本期我们将一探究竟，从让AI拥有“元认知”能力，到学会“两步一回头”的智慧工作法，再到化身“艺术家与工匠”的完美结合体。这些最新的AI论文，正在教AI如何更聪明地思考和工作，而不仅仅是更努力地计算。00:00:30 你的“外挂”，也需要一个“外挂”00:06:39 你的AI助手，需要一个“Plan B”00:13:33 预算有限，如何做出最优决策？00:20:07 为什么顶尖高手，都懂得“两步一回头”？00:26:01 AI制药，高手对决还是联手坐庄？本期介绍的几篇论文：[AI] Meta-Harness: End-to-End Optimization of Model Harnesses [Stanford University] https://arxiv.org/abs/2603.28052 ---[LG] Next-Token Prediction and Regret Minimization [Google Research] https://arxiv.org/abs/2603.28499 ---[LG] Multiple-Prediction-Powered Inference [MIT & Google Research] https://arxiv.org/abs/2603.27414 ---[LG] High dimensional theory of two-phase optimizers [Google DeepMind] https://arxiv.org/abs/2603.26954 ---[LG] Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute [NVIDIA] https://arxiv.org/abs/2603.27950

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

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