AI画画写代码，怎样才能告别蛮力，像高手一样把力气用在刀刃上，又像学徒一样得到名师指点，快速开窍呢？它的学习过程到底是充满“顿悟”的跳跃，还是一分耕耘一分收获的苦功？更进一步，当规则完全未知时，AI能像我们玩密室逃脱一样，自己摸索出世界的法则吗？本期节目，我们就从四篇最新论文出发，一起探寻AI从“聪明”走向“智慧”的秘密。00:00:31 生成AI的“节拍器”，如何把算力用在刀刃上？00:06:13 AI当码农，如何从“笨徒弟”进化成“老师傅”？00:12:35 AI学习的秘密，顿悟与苦功，本来就是一回事00:19:14 AI的下一个考场，在规则未知的世界里摸索00:24:27 AI养娃，要从胎教开始本期介绍的几篇论文：[LG] The data geometry of masking diffusion: Certified-optimal schedules via unmasking growth complexity[M J. Wainwright, MIT]https://arxiv.org/abs/2608.13520 ---[LG] CAKE: Compiler-Agent Co-Design for Frontier Kernel Evolution[Z Ye, Y Huang, H Jin, B Hou… (NVIDIA & CMU)]https://arxiv.org/abs/2608.12629 ---[LG] Neural Quadratic Forms: A Unified Minimal Model for Sudden Learning and Scaling Laws[L Ziyin, Y Xu, T Poggio, I Chuang (MIT & EPFL)]https://arxiv.org/abs/2608.13335 ---[LG] DiG-bench: Discovery in Games[R M. Battleday, K Sandbrink, J Cullen-Drohan, Z Yan… (Thinking About Thinking)]https://arxiv.org/abs/2608.12593 ---[LG] Synthetic Persona Pretraining: Alignment from Token Zero[J Minder, V Moskvoretskii, R Singhal, D Jiao,… (EPFL)]https://arxiv.org/abs/2608.13482 在小宇宙查看该单集文稿

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

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