想知道AI如何学会“看眼色”举一反三吗？本期，我们将一起揭秘几篇最新论文，看看AI如何像有了“变速箱”一样动态切换快慢刀，又如何通过“智能菜谱”让机器人学会干活。我们还会聊聊如何给AI一张“认知体检表”来衡量它的真实水平，以及它那套偷偷学会的“省钱”妙招。准备好了吗？让我们一探究竟！00:00:34 AI如何学会“看眼色”，一个关于举一反三的发现00:05:43 机器人后空翻都会，为什么还不会端茶倒水？00:11:28 AI的“变速箱”，什么时候该用牛刀？00:17:29 给AI一张体检表，我们离通用人工智能还有多远？00:23:00 你的AI，正在偷偷学会“省钱”本期介绍的几篇论文：[LG] Fine-Tuning Dynamics of In-Context Factual Recall in Transformers [Duke University & Princeton University & UC Berkeley] https://arxiv.org/abs/2605.27774 ---[RO] HumanoidMimicGen: Data Generation for Loco-Manipulation via Whole-Body Planning [NVIDIA] https://arxiv.org/abs/2605.27724 ---[LG] Multi-Mixer Models: Flexible Sequence Modeling with Shared Representations [CMU & Google Research] https://arxiv.org/abs/2605.28769 ---[AI] Measuring Progress Toward AGI: A Cognitive Framework [Google DeepMind] https://arxiv.org/abs/2605.28405 ---[LG] Meta-Attention: Bayesian Per-Token Routing for Efficient Transformer Inference [Knowledge Lab AG] https://arxiv.org/abs/2605.28384 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