[人人能懂] AI的动态思维、可塑信念与捷径法则

你真的了解那个天天与你对话的AI吗？这一期，我们来当一回“AI读心师”，带你换个全新的视角看AI。我们会潜入AI思考的“时间之河”，揭示它那颗会悄悄“变心”的内在。更重要的是，我们将看到几篇最新论文，是如何教会AI聪明地“抄近道”、真正地“辨因果”，并最终找到那个任你怎么问都不会动摇的“坚固答案”的。00:00:30 AI的“时间盲区”：我们看懂它的方式，可能一开始就错了00:05:35 那个天天陪你聊天的AI，正在悄悄“变心”00:11:23 高手过招：如何聪明地“抄近道”？00:16:33 想用AI解决数据难题？你得先学会给它“立规矩”00:23:46 换个姿势再问一遍：如何找到最可靠的答案？本期介绍的几篇论文：[LG] Priors in Time: Missing Inductive Biases for Language Model Interpretability[Goodfire AI & Harvard University]https://arxiv.org/abs/2511.01836---[CL] Accumulating Context Changes the Beliefs of Language Models[CMU & Princeton University]https://arxiv.org/abs/2511.01805---[RO] SLAP: Shortcut Learning for Abstract Planning[Princeton University & CMU]https://arxiv.org/abs/2511.01107---[LG] A Technical Exploration of Causal Inference with Hybrid LLM Synthetic Data[UC Berkeley]https://arxiv.org/abs/2511.00318---[CL] Self-Harmony: Learning to Harmonize Self-Supervision and Self-Play in Test-Time Reinforcement Learning[The University of Tokyo & RIKEN Center for Advanced Intelligence Project]https://arxiv.org/abs/2511.01191

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