[人人能懂AI前沿] AI如何学会做事、看懂世界、融入我们？

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 ---[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 ---[AI] LLM-as-a-Verifier: A General-Purpose Verification Framework [Stanford University & UC Berkeley] https://arxiv.org/abs/2607.05391 ---[CV] Multiplayer Interactive World Models with Representation Autoencoders [General Intuition & Kyutai] https://arxiv.org/abs/2607.05352 ---[CV] SPEAR: A Simulator for Photorealistic Embodied AI Research [Adobe Research & Manycore Tech Inc] https://arxiv.org/abs/2607.06701 在小宇宙查看该单集文稿