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