你有没有想过，一个更聪明的AI，是应该更会“思考”，还是更会“偷懒”？最新论文告诉我们，让AI学会用“记忆”分担计算，反而能让它更专注于难题。当AI面对一本几十万字的小说时，它又是如何像我们一样“做笔记”，避免“七秒记忆”的？更有趣的是，如果把AI关进小黑屋，不给任何学习资料，它竟能通过“左右互搏”实现自我进化。最后，我们会深入AI的内心世界，看看它“一本正经胡说八道”时，脑子里究竟走了哪两条路，以及它那令人惊叹的“举一反三”，可能根本不是在学习，而是在“对答案”。00:00:48 为什么“偷懒”的AI，反而更会思考？00:06:15 AI的“七秒记忆”，有救了？00:11:46 AI的“闭关修炼”，不喂数据，如何变强？00:16:53 AI为什么会“一本正经地胡说八道”？它的脑子里有两条路00:22:20 别再说AI在“学习”了，它可能只是在“对答案”本期介绍的几篇论文：[LG] Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models[DeepSeek-AI]https://arxiv.org/abs/2505.11080---[LG] Gecko: An Efficient Neural Architecture Inherently Processing Sequences with Arbitrary Lengths[University of Southern California & Meta AI Research]https://arxiv.org/abs/2601.06463---[LG] Dr. Zero: Self-Evolving Search Agents without Training Data[Meta Superintelligence Labs]https://arxiv.org/abs/2601.07055---[CL] Two Pathways to Truthfulness: On the Intrinsic Encoding of LLM Hallucinations[Peking University & Microsoft Research Asia]https://arxiv.org/abs/2601.07422---[LG] Filtering Beats Fine Tuning: A Bayesian Kalman View of In Context Learning in LLMs[UC Berkeley]https://arxiv.org/abs/2601.06100

Ask this episode

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

Transcript

Related