[人人能懂AI前沿] 揭秘AI的执行力、工作流与反思力

AI是如何学会“成事”的？本期节目，我们将看到，AI如何通过处理办公室杂活，竟然领悟了解决复杂问题的底层心法。我们还会揭秘一套神奇的“管家系统”，看它如何防止聪明的AI在长任务中掉链子。但与AI聊得太久，为何反而会陷入危险的“妄想旋涡”？最后，当任务完成，AI又是如何精准地判断出，哪一步才是真正的功臣？00:00:29 成事的底层心法，AI学会了，我们呢？00:06:12 你的AI为什么总掉链子？因为它缺个好管家00:12:07 为什么和AI聊得越久，就越危险？00:18:45 功劳怎么算？AI学会了“动态归因”00:25:15 AI生成，从“万里长征”到“瞬间移动”本期介绍的几篇论文：[AI] Post-Training on Office Work Improves Software Engineering: A Behavioral Account of Cross-Domain Transfer [Surge AI] https://arxiv.org/abs/2608.01604 ---[CV] LongHorizon-Harness: Advancing Long-Horizon Agents for Real-World Tasks [DreamX Team, Alibaba Group] https://arxiv.org/abs/2608.01964 ---[CL] DelusionEval: Measuring Delusion-Linked Behaviors in AI Chatbots [Stanford University] https://arxiv.org/abs/2608.05004 ---[AI] AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning [Tsinghua University & Zhejiang University] https://arxiv.org/abs/2608.05987 ---[LG] Beckmann Transport Models: From Autonomous Flows to One-Step Maps [Harvard University & Capital Fund Management & University of Oxford] https://arxiv.org/abs/2608.01692在小宇宙查看该单集文稿