AI的学习和思考方式正在发生一场静悄悄的革命。这一期的最新论文，将带我们深入AI的“思维”深处：从和AI陪练一起进化的动态标准，到扔掉秘籍、只学“心法”的速成功夫；从让AI睁开“心眼儿”看懂空间，到将你的指令变成它的“临时大脑”；最后，我们还会看看如何治好AI写作的“耿直病”，让它变得更聪明、更高效。准备好了吗？让我们一起探索AI如何变得更像我们。00:00:36 让AI成为一个既聪明又靠谱的研究助理00:05:51 想学绝世武功，非得有本秘籍吗？00:10:25 让AI睁开‘心眼儿’看世界00:14:33 你的指令，如何成为AI的临时大脑？00:19:45 AI写稿太慢？也许是它太“耿直”了本期介绍的几篇论文：[CL] DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research[University of Washington & Allen Institute for AI & MIT]https://arxiv.org/abs/2511.19399---[LG] Flow Map Distillation Without Data[MIT & NYU]https://arxiv.org/abs/2511.19428---[CV] Chain-of-Visual-Thought: Teaching VLMs to See and Think Better with Continuous Visual Tokens[UC Berkeley & UCLA]https://arxiv.org/abs/2511.19418---[LG] Equivalence of Context and Parameter Updates in Modern Transformer Blocks[Google Research]https://arxiv.org/abs/2511.17864---[LG] CDLM: Consistency Diffusion Language Models For Faster Sampling[Seoul National University & UC Berkeley]https://arxiv.org/abs/2511.19269

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

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