你有没有想过，如何让AI变得更聪明，甚至比它的老师还强？本期节目，我们将一起探索几篇最新论文带来的奇妙思路：从给AI请一位“混搭私教”，到为它建造一座“思想角斗场”进行团队作战。我们还会潜入AI的“梦境”，看看它如何复盘过去、预演未来，并顺便弄清楚它为什么有时会突然变成“复读机”。准备好了吗？让我们一起看看，这些研究如何从根源上提升AI解决复杂问题的能力。00:00:35 给AI模型请个“混搭”私教00:06:14 如何看见你看不到的数据？00:11:56 AI 的“梦境”，如何用过去预演未来00:18:07 AI科学家的工作法，像罗马人一样建角斗场00:24:48 AI为啥会变成“复读机”？本期介绍的几篇论文： [AI] Lightning Weave: Improving the Accuracy-Efficiency Frontier of Reasoning Models through Capability Composition[MIT & NVIDIA]https://arxiv.org/abs/2609.14708 ---[LG] Synthetic Nearest Neighbors: Extending Synthetic Controls for Matrix Completion with Missing Not at Random Data[Columbia University & MIT]https://arxiv.org/abs/2609.13586 ---[CL] Dream-RSI: Recursive Self-Improvement through Evolving Worlds[Google]https://arxiv.org/abs/2609.1485 ---[AI] Stellar Colosseum: A Many-Agent Harness for Long-Horizon Research in Mathematics and Theoretical Computer Science[Google Research]https://arxiv.org/abs/2609.15983 ---[CL] Mirror, Mirror on the Wall: Prompt Echoing in Small Instruct Language Models[Warsaw University of Technology]https://arxiv.org/abs/2609.15045 在小宇宙查看该单集文稿

Ask this episode

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

Transcript

Related