你有没有想过，AI是如何学会像人一样思考的？在最新的几篇论文中，AI不仅学会了像项目经理一样把大任务拆解成小目标，还能组建一支分工明确的冠军团队，自己给自己挑错。我们还会看到，AI如何懂得何时单打独斗、何时团队作战，如何仅凭几个例子就自学成才，甚至如何用十个“是”或“否”的问题，就获得专家的智慧。今天，就让我们一起揭开这些AI“超能力”背后的朴素智慧。00:00:35 想成大事？你得先学会当自己的“项目经理”00:07:15 AI冠军养成记，一个“草台班子”的制胜之道00:12:20 人多真能力量大吗？AI世界的“个人英雄”与“团队作战”00:17:58 如何用3个例子，教会AI一整本书？00:23:22 十个“是”或“否”，如何让AI“小学生”拥有“博士”的智慧？本期介绍的几篇论文：[LG] Hierarchical Planning with Latent World Models [FAIR at Meta] https://arxiv.org/abs/2604.03208 ---[AI] GrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement Learning [DeepReinforce Team] https://arxiv.org/abs/2604.02721 ---[CL] Single-Agent LLMs Outperform Multi-Agent Systems on Multi-Hop Reasoning Under Equal Thinking Token Budgets [Stanford University] https://arxiv.org/abs/2604.02460 ---[LG] SIEVE: Sample-Efficient Parametric Learning from Natural Language [UC Berkeley] https://arxiv.org/abs/2604.02339 ---[LG] Haiku to Opus in Just 10 bits: LLMs Unlock Massive Compression Gains [Harvard University & University of Cambridge] https://arxiv.org/abs/2604.02343

Ask this episode

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

Transcript

Related