你有没有想过，让AI更强大，除了把它做得更大，还有哪些更聪明的办法？今天我们就来聊聊几篇最新的论文，它们不约而同地指向了“思维品质”的提升。我们将看到AI如何学会像人一样看“大局”，如何用“人海战术”的群体智慧实现零失误，甚至如何拥有一个可以推演未来的“虚拟世界”。我们还会探讨，如何通过给AI的思维“剪枝”，以及鼓励“多样性”，让它变得既聪明又不无聊。00:00:34 让AI学会“看大局”，会发生什么？00:05:38 “笨蛋”的胜利：当AI学会了“人海战术”00:10:57 如何给AI一个可以推演未来的世界？00:16:21 为什么AI越来越像个只会复读的“乖孩子”？00:21:23 给AI的思维“剪枝”，让它想得又快又好本文介绍的几篇论文：[LG] Aligning machine and human visual representations across abstraction levels[University of Maryland]https://arxiv.org/abs/2505.11080---[LG] Solving a Million-Step LLM Task with Zero Errors[Cognizant AI Lab]https://arxiv.org/abs/2511.09030---[CV] PAN: A World Model for General, Interactable, and Long-Horizon World Simulation[Mohamed bin Zayed University of Artificial Intelligence]https://arxiv.org/abs/2511.09057---[CL] Diverse Preference Learning for Capabilities and Alignment[MIT CSAIL]https://arxiv.org/abs/2511.08594---[CL] Chopping Trees: Semantic Similarity Based Dynamic Pruning for Tree-of-Thought Reasoning[Algoverse AI Research]https://arxiv.org/abs/2511.08595

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

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