谷歌DeepMind预测2026年将成为AI发展的关键转折点，届时持续学习技术将全面实现。该技术使AI能自主吸收新知识并不断改进，被视为AI自我提升的核心。谷歌已在NeurIPS2025大会上提出“嵌套化方法”，显著提升了大语言模型的上下文处理能力，为持续学习奠定了基础。
小红书与复旦大学联合发布AI绘画新技术InstanceAssemble，解决AI绘画“构图难”问题，实现从简单到复杂场景的精准图像生成。相关论文已被顶级会议NeurIPS2025收录。
英伟达在NeurIPS2025发布L4级自动驾驶推理模型Alpamayo-R1，基于Cosmos-Reason系列，可同时处理摄像头、激光雷达和文本指令，通过内部推理输出驾驶决策。模型采用视觉、语言、动作三模态端到端统一架构，避免模块误差叠加，旨在为车辆赋予“人类常识”。
谷歌在NeurIPS2025发布"嵌套学习"新范式，突破AI"灾难性遗忘"难题。该技术受人类神经可塑性启发，使模型持续学习新任务时几乎不丢失旧知识，遗忘率接近零。这标志着AI从"一次性专家"向"终身学习者"转变的关键进展。
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