你有没有想过，当AI不再是只会模仿的“鹦鹉”，它会如何为自己打造一张世界的“活地图”，甚至为万物创造出能自主思考的“数字分身”？最新论文揭示，AI正通过一系列奇妙的方法解决自己的“健忘症”与“数据饥荒”，甚至开始反思“堆料越多越糊涂”的怪圈。今天，我们就来聊聊AI是如何学会拥有“活地图”、创造“数字分身”、进行“模拟推理”，并最终实现自我“瘦身”的。00:00:34 你的脑子里，是不是也有一张“活地图”？00:05:55 你我皆有“数字分身”，当AI为万物造“镜像”00:12:23 你的常识可能被颠覆了，模仿来的思考，算不算思考？00:17:46 预测的难题，当AI遇上“数据饥荒”00:24:46 AI大模型内卷，为什么堆料越多，脑子越糊涂？本期介绍的几篇论文：[LG] Flow Equivariant World Models: Memory for Partially Observed Dynamic Environments [Harvard University & CMU] https://arxiv.org/abs/2601.01075 ---[AI] Digital Twin AI: Opportunities and Challenges from Large Language Models to World Models [Lehigh University & University of Maryland & University of New South Wales] https://arxiv.org/abs/2601.01321 ---[CL] Simulated Reasoning is Reasoning [RWTH Aachen University & CMU] https://arxiv.org/abs/2601.02043 ---[LG] Zero-shot Forecasting by Simulation Alone [Amazon] https://arxiv.org/abs/2601.00970 ---[LG] Geometric and Dynamic Scaling in Deep Transformers [New York University & Stony Brook University] https://arxiv.org/abs/2601.01014

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

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