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介绍了五项AI研究：1）利用自回归语言模型进行因果推断，简化了复杂情况下的因果关系分析；2）CurricuLLM方法利用大型语言模型为机器人设计学习课程，提高机器人学习复杂技能的效率；3）无状态强化学习算法，让机器在信息不全的情况下也能高效学习和决策；4）可分解Transformer点过程模型，实现了对时间点事件的快速准确预测；5）对OpenAI的o1模型的全面评估，展示了其在多个领域接近甚至超越人类专家水平的推理能力，也揭示了其局限性。完整推介：https://mp.weixin.qq.com/s/srCU14pxgMMeUcJOSNyPDg
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