[人人能懂AI前沿] AI的思考术：从逆向学习、技能博弈到情境安全

我们都希望AI能像人一样思考和成长，但你有没有想过，AI要如何向一位只做不说的“沉默高手”学到心法？又如何突破“刷题”瓶颈，进化到自己“编写教材”的境界？本期节目，我们将通过几篇最新论文，一起探寻AI如何拥有“复盘”的元认知能力，如何像人一样兼顾大局与细节，以及在复杂的指令面前，它究竟凭什么判断对错。准备好，我们马上进入AI的深度思考世界。00:00:32 如何向一位沉默的高手学艺？00:06:26 AI的自我进化，从“刷题”到“编教材”00:11:54 同一个命令，AI凭什么判断对错？00:18:33 AI的左右脑难题，如何让它既懂大局，又见细节？00:25:12 如何让AI拥有“复盘”能力本期介绍的几篇论文：[LG] LeAct: Learning to Reason from Expert Actions[Princeton University]https://arxiv.org/abs/2607.21856 ---[CL] Skill Self-Play: Pushing the Frontier of LLM Capability with Co-Evolving Skills[Qwen Large Model Application Team, Alibaba]https://arxiv.org/abs/2607.22529 ---[AI] Agent Security Needs Redefinition through a Holistic Framework[UC Santa Cruz & UC Berkeley]https://arxiv.org/abs/2607.22024 ---[CV] Twins: Learn to Predict Unified Representations with Focal Loss[The Chinese University of Hong Kong & Tencent, Hunyuan]https://arxiv.org/abs/2607.22531 ---[LG] Teaching LLMs to Self-Evolve: Cultivating Core Meta-Skills with Reinforcement Learning[University of Illinois Urbana-Champaign]https://arxiv.org/abs/2607.21971 在小宇宙查看该单集文稿