今天我们不聊AI有多聪明，而是聊如何让它更“会”做事。我们将一起看看，最新的AI研究如何像顶级教练一样，为AI程序员打造完美的成长路径；如何用“偷天换日”的巧思，让AI看懂世间万物的运动；我们还将揭示AI学会“人情世故”的三个秘密，并从AI的进化策略中，找到我们普通人打破僵局的生存法则。

00:00:28 AI程序员的成长烦恼，聪明还不够

00:06:34 从蝴蝶到纸飞机，如何让AI看懂世间万物的运动？

00:11:35 让AI更懂“人情世故”的三个秘密

00:17:34 别等“万事俱备”，从顶级AI算法看普通人的破局之道

本期介绍的几篇论文：

[AI] ResearchStudio-Idea: An Evidence-Grounded Research-Ideation Skill Suite from ML Conference Outcomes

[Microsoft Research & Nanyang Technological University]

https://arxiv.org/abs/2607.04439

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[RO] RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies

[HKU & PKU & THU]

https://arxiv.org/abs/2607.04434

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[AI] LLM-as-a-Verifier: A General-Purpose Verification Framework

[Stanford University & UC Berkeley]

https://arxiv.org/abs/2607.05391

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[CV] Multiplayer Interactive World Models with Representation Autoencoders

[General Intuition & Kyutai]

https://arxiv.org/abs/2607.05352

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[CV] SPEAR: A Simulator for Photorealistic Embodied AI Research

[Adobe Research & Manycore Tech Inc]

https://arxiv.org/abs/2607.06701