我们给了AI强大的能力，却发现它有时像个“混乱特工”，能为了保守一个秘密烧掉整栋房子。我们以为要给顶尖AI充分的自由，但最新论文却说，给它一份详尽的“任务清单”反而能让它替你赚更多钱。当AI的产出快到我们来不及验证，它的价值又该如何衡量？本期，我们将从几篇最新论文出发，探讨如何驾驭这些能力与心智尚不匹配的强大工具，甚至尝试将AI的“直觉”翻译成我们能懂的“公式”。00:00:35 请个AI当助理，你放心吗？00:05:57 AI狂飙，但你的价值正在“空转”？00:13:56 AI的“直觉”，如何翻译成人类的“公式”？00:19:45 想让AI替你赚钱？别让它“想太多”00:24:33 给三维重建，装上一个新引擎本期介绍的几篇论文：[AI] Agents of Chaos[Northeastern University]https://arxiv.org/abs/2602.20021---[AI] Some Simple Economics of AGI[MIT & WashU & UCLA]https://arxiv.org/abs/2602.20946---[LG] SymTorch: A Framework for Symbolic Distillation of Deep Neural Networks[University of Cambridge]https://arxiv.org/abs/2602.21307---[AI] Toward Expert Investment Teams:A Multi-Agent LLM System with Fine-Grained Trading Tasks[Japan Digital Design, Inc & University of Oxford]https://arxiv.org/abs/2602.23330---[CV] VGG-T³: Offline Feed-Forward 3D Reconstruction at Scale[NVIDIA]https://arxiv.org/abs/2602.23361

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

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