[人人能懂] AI的系统之美：当“设计”比“天才”更重要

00:01:37 你的 AI，是“记性好”还是“真会学”？00:06:19 管好AI的“注意力”：一个“分而治之”的智慧 00:10:22 造个“世界”给AI：为什么光看视频还不够？ 00:16:51 AI团队管理的终极难题：既要、又要、还要，怎么办？ 00:21:45 想把AI训练好？别等“秋后算账” 今天介绍的五篇论文：[LG] Memory Mosaics at scale[New York University & FAIR, Meta Inc]https://arxiv.org/abs/2507.03285---[CL] RAT: Bridging RNN Efficiency and Attention Accuracy in Language Modeling[CLAIRE, EPFL & Google DeepMind]https://arxiv.org/abs/2507.04416---[LG] Critiques of World Models[CMU]https://arxiv.org/abs/2507.05169---[LG] Optimas: Optimizing Compound AI Systems with Globally Aligned Local Rewards[Stanford University]https://arxiv.org/abs/2507.03041---[LG] Discrete Diffusion Trajectory Alignment via Stepwise Decomposition[Stanford University & Caltech]https://arxiv.org/abs/2507.04832在小宇宙查看该单集文稿