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[人人能懂] 从“自学成才”到“组团思考”的AI新范式

00:00:28 AI的“学霸”和“教练”,如何合二为一?

00:04:33 想让AI更聪明?关键不是砸钱,是“会花钱”

00:08:26 AI的“朋友圈”:单个脑补,不如组团思考

00:13:12 如何让AI既是“通才”,又是“专才”?

00:16:07 数据世界的“蝴蝶效应”:我们如何揪出那个扇动翅膀的“坏数据”?

本期介绍的五篇论文:

[LG] Your Reward Function for RL is Your Best PRM for Search: Unifying RL and Search-Based TTS

[Rutgers University & Nanyang Technological University]

https://arxiv.org/abs/2508.14313

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[LG] Compute-Optimal Scaling for Value-Based Deep RL

[UC Berkeley]

https://arxiv.org/abs/2508.14881

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[LG] Graph Concept Bottleneck Models

[Stony Brook University & University of California, San Diego & IBM Research]…

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