本期我们来聊聊AI世界里那些“反直觉”的智慧：当AI不再给商品打分而是直接“写”出排名，当语音助手不再被粗暴地对答案而是被“手把手”教会思考，当“不完美”的数据反而能帮我们做出更好的决策，一场关于效率和认知的革命正在悄然发生。最新论文告诉我们，解决难题最好的方法，有时是换一个全新的玩法。00:00:28 你看到的结果，是谁为你排的序？00:07:42 AI大模型背后，一场关于“搬家”的效率革命00:13:08 你的语音助手，为什么一开口就变笨了？00:18:01 AI的“思考开关”，是个美丽的误会？00:23:25 别再等了！“不完美”的数据也能做出好决策本期介绍的几篇论文：[IR] Autoregressive Ranking: Bridging the Gap Between Dual and Cross Encoders[Google DeepMind & University of Massachusetts Amherst]https://arxiv.org/abs/2601.05588---[LG] MoEBlaze: Breaking the Memory Wall for Efficient MoE Training on Modern GPUs[Meta Platforms Inc]https://arxiv.org/abs/2601.05296---[CL] Closing the Modality Reasoning Gap for Speech Large Language Models[Microsoft Corporation & The Chinese University of Hong Kong]https://arxiv.org/abs/2601.05543---[LG] Do Sparse Autoencoders Identify Reasoning Features in Language Models?[UC Berkeley]https://arxiv.org/abs/2601.05679---[LG] Good Allocations from Bad Estimates[Stanford University & Max Planck Institute for Intelligent Systems, Tübingen]https://arxiv.org/abs/2601.05597

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

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