你有没有想过，我们该如何为AI的高速公路设计智能的交通规则，又该如何教会一颗活的“迷你大脑”摸盲文？如果让AI来炒股，市场会更疯狂还是更理性？本期，我们将从几篇最新的论文出发，揭开AI从一个工具箱进化为发明家，并学会复杂推理的底层设计图。00:00:26 给AI修路，为什么“车道”越多反而越容易“堵车”？00:05:32 如果让AI来炒股，它会比你更贪婪吗？00:11:24 当你的电脑开始用“脑子”摸盲文00:16:21 你的AI助手，应该是个工具箱，还是个发明家？00:21:28 AI变聪明的“导航系统”，一份来自底层的设计图本期介绍的几篇论文：[CL] mHC: Manifold-Constrained Hyper-Connections[DeepSeek-AI]https://arxiv.org/abs/2512.24880---[AI] Can Generative AI agents behave like humans? Evidence from laboratory market experiments[College London & CENTAI Institute & Bank of Canada]https://arxiv.org/abs/2505.07457---[RO] Encoding Tactile Stimuli for Organoid Intelligence in Braille Recognition[University of Bristo]https://arxiv.org/abs/2508.20850---[AI] Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution[Princeton University & Tsinghua University & Shanghai Jiao Tong University]https://arxiv.org/abs/2505.20286---[LG] On the Design of KL-Regularized Policy Gradient Algorithms for LLM Reasoning[University of California, Los Angeles]https://arxiv.org/abs/2505.17508

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

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