你有没有想过，一个细胞修复自己的逻辑，和AI画画的逻辑，竟然是相通的？我们又该如何设计一场“高考”，来检验AI是不是真的能干活，而不是个花架子？本期节目，我们将一起探索AI如何学会“自我反思”来纠正错误，如何通过“化整为零”的智慧让万物动起来，以及它为何在理解真实物理世界时频频“翻车”。准备好了吗？让我们一起解码智能的最新进化。

00:30:04 从细胞到AI，智能的底层逻辑是什么？

00:06:25 AI离成为“靠谱员工”，还差几门考试？

00:11:39 给AI请个“一对一”私教，它自己教自己

00:17:04 让万物动起来，需要几步？

00:21:45 AI画视频，为什么一碰到机器人就“翻车”？

本期介绍的几篇论文：

[AI] Remapping and navigation of an embedding space via error minimization: a fundamental organizational principle of cognition in natural and artificial systems

[Allen Discovery Center at Tufts University]

https://arxiv.org/abs/2601.14096

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[AI] Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces

[Stanford University & Laude Institute & Anthropic]

https://arxiv.org/abs/2601.11868

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[LG] InT: Self-Proposed Interventions Enable Credit Assignment in LLM Reasoning

[CMU & University of Illinois Urbana-Champaign]

https://arxiv.org/abs/2601.14209

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[CV] Motion 3-to-4: 3D Motion Reconstruction for 4D Synthesis

[Westlake University]

https://arxiv.org/abs/2601.14253

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[CV] Rethinking Video Generation Model for the Embodied World

[Peking University & ByteDance Seed]

https://arxiv.org/abs/2601.15282