[人人能懂AI前沿] 从绘制科学寻宝图、一步生成代码到拥有“祖传手艺”

你是否想过，AI不仅能当助手，更能成为科学家的“寻宝图”，预测未来的新发现？本期我们将一起探讨，AI如何学会从“挤牙膏”式写作进化到“一步到位”的神奇魔法，并首次“窥探”它的大脑，看看它是否真的理解了“2+5”和“二加五”的区别。我们还会揭示，如何通过一张“地图”让AI读懂万卷书，以及它学习掌握“祖传手艺”的秘密。00:00:29 AI 如何成为科学家的「寻宝图」00:06:12 语言模型，告别“挤牙膏”时代00:11:33 会做“2+5”，为何不会“二加五”？我们终于有办法偷看AI的大脑了00:17:29 给AI一张地图，它能更好地为你读书00:21:54 AI如何拥有“祖传手艺”？本期介绍的几篇论文：[LG] Hakken: Predicting future discoveries to fill the gaps in today's knowledge[SonyAI]https://arxiv.org/abs/2609.04494 ---[LG] Distilled Continuous Diffusion Language Models Can Write Code in Few Steps---or One[Duke University & Tsinghua University]https://arxiv.org/abs/2609.04531 ---[CL] Shared circuits predict whether LLMs generalize across formats in arithmetic reasoning[MIT]https://arxiv.org/abs/2609.04463 ---[AI] STAIR (STructure Aware Information Retriever): A novel dataset and LLM based retriever for document structure augmentation[IBM]https://arxiv.org/abs/2609.03874 ---[AI] SkillGLoW: Procedural-Family Skill Consolidation for Self-Improving Agents on Long-Horizon Task Streams[National University of Singapore & Institute of Advanced Intelligence and Computing (IAIC)]https://arxiv.org/abs/2609.02217 在小宇宙查看该单集文稿