今天,我们将一起探索如何让AI更强大也更“像人”:比如,让AI的记忆不再是短暂的,而是像组织一样层层沉淀;让两个聪明的AI合作不再犯傻,甚至通过“自我反思”拥有稳定的性格。更有趣的是,我们还会看到,教AI谱曲就像教它一门外语,而训练它不出错的最好方法,竟是给它找个专门“抬杠”的对手。让我们马上进入今天的前沿探索之旅!00:00:32 AI的记忆黑洞:为什么我们看到的深度学习只是冰山一角00:06:40 两个聪明的AI,为何凑在一起就犯傻?00:12:05 让AI学会“谱曲”,只需教它一门新外语00:17:17 打造有“个性”的AI助手00:23:36 如何训练一个更聪明的AI?给它找个“抬杠”的对手本文介绍的几篇论文:[LG] Nested Learning: The Illusion of Deep Learning Architectures [Google Research] https://abehrouz.github.io/files/NL.pdf---[LG] The Collaboration Gap [Microsoft Research & EPFL] https://arxiv.org/abs/2511.02687---[AS] MIDI-LLM: Adapting Large Language Models for Text-to-MIDI Music Generation [MIT] https://arxiv.org/abs/2511.03942---[CL] Open Character Training: Shaping the Persona of AI Assistants through Constitutional AI [University of Cambridge & MATS & Allen Institute for AI & Anthropic] https://arxiv.org/abs/2511.01689---[LG] RLAC: Reinforcement Learning with Adversarial Critic for Free-Form Generation Tasks [Shanghai Jiao Tong University & UC Berkeley] https://arxiv.org/abs/2511.01758
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