今天我们要聊聊，如何让AI变得更快、更聪明，甚至更“会过日子”和更“懂合作”。我们将一起探索，怎样用一种巧妙的修剪方法，让AI的信息地图建造速度提升十几倍；又如何给AI大脑动个“小手术”，打通它的多步推理思路。我们还会发现，AI不仅能看着YouTube的“野生”视频自己学会开车，还能像个精明的项目经理一样，把预算花在刀刃上。最后，我们将见证AI如何在一个游戏世界里，第一次学会“换位思考”，理解一个由我们共同构成的现实。00:00:40 你的AI为什么“反应慢”？问题可能出在建图上00:06:29 给AI大脑动个“小手术”00:11:59 AI学车的新思路，让YouTube当免费教练00:17:32 AI的省钱之道，把钱花在刀刃上00:22:37 AI学会了“换位思考”，世界会有什么不同？本期介绍的几篇论文：[IR] PiPNN: Ultra-Scalable Graph-Based Nearest Neighbor Indexing [UMD & Google Research] https://arxiv.org/abs/2602.21247 ---[LG] Interleaved Head Attention [Meta & UT Austin & MIT] https://arxiv.org/abs/2602.21371 ---[CV] Learning to Drive is a Free Gift: Large-Scale Label-Free Autonomy Pretraining from Unposed In-The-Wild Videos [Applied Intuition & Stanford University & UC Berkeley] https://arxiv.org/abs/2602.22091 ---[CL] Budget-Aware Agentic Routing via Boundary-Guided Training [University of Cambridge & M365 Research, Microsoft] https://arxiv.org/abs/2602.21227 ---[CV] Solaris: Building a Multiplayer Video World Model in Minecraft [New York University] https://arxiv.org/abs/2602.22208

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

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