想知道AI如何像开“诸葛亮会”一样解决难题，又为何连小学生的乘法都搞不定吗？本期节目，几篇最新的论文将带我们一窥AI大脑的内部运作：看它如何上演“分身思考”的头脑风暴，如何被我们的“偏见”变得无聊。更重要的是，我将告诉你一个解锁它隐藏创造力的简单“咒语”，并揭示为何在训练AI时，不能只看“平均分”。00:00:29 让AI更聪明的秘密：不是想得更长，而是想得更巧00:06:28 分身思考：AI的大脑里如何开一场头脑风暴00:11:13 为什么聪明的AI，竟学不会小学生的乘法？00:18:03 为什么AI越来越无聊？换个问法，解锁它的隐藏技能00:22:36 AI训练揭秘：你真的懂“平均”吗？本期介绍的几篇论文：[LG] Rethinking Thinking Tokens: LLMs as Improvement Operators [Meta Superintelligence Labs & Anthropic] https://arxiv.org/abs/2510.01123 ---[LG] Thoughtbubbles: an Unsupervised Method for Parallel Thinking in Latent Space [Stanford University] https://arxiv.org/abs/2510.00219 ---[LG] Why Can't Transformers Learn Multiplication? Reverse-Engineering Reveals Long-Range Dependency Pitfalls [University of Chicago & MIT & University of Waterloo] https://arxiv.org/abs/2510.00184 ---[CL] Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity [Northeastern University & Stanford University] https://arxiv.org/abs/2510.01171 [LG] Per-example gradients: a new frontier for understanding and improving optimizers [Google Deepmind] https://arxiv.org/abs/2510.00236 ---

Ask this episode

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

Transcript

Related