拉开AI的魔法幕布：后台的巧思与匠心

00:01:26 AI的“心里话”，为什么也可能是装出来的？ 00:06:38 AI的“记忆力”，如何才能赶上一本小说？ 00:12:26 AI陪练：笨功夫如何“点化”天才？ 00:16:27 AI搞装修：如何盖一座又高又省钱的“摩天楼”？ 00:20:34 小模型，大智慧：AI的“学徒”进化论 本期介绍的五篇论文：[LG] Chain-of-Thought Is Not Explainability[Oxford & WhiteBox]https://arxiv.org/abs/2025.02---[LG] Arctic Long Sequence Training: Scalable And Efficient Training For Multi-Million Token Sequences[Snowflake AI Research]https://arxiv.org/abs/2506.13996---[CL] ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models[NVIDIA]https://arxiv.org/abs/2505.24864---[LG] Don't be lazy: CompleteP enables compute-efficient deep transformers[Cerebras Systems & ETH Zurich]https://arxiv.org/abs/2505.01618---[CL] Distilling LLM Agent into Small Models with Retrieval and Code Tools[KAIST & KRAFTON]https://arxiv.org/abs/2505.17612在小宇宙查看该单集文稿