目前的AI模型仅在批量训练期间学习，并且无法保留日常用户交互的知识，因为会话记忆与实际学习不同。这些系统缺乏核心的“真相”层，这意味着它们的知识不会通过持续的互动来更新或完善。这一限制突显了当前AI开发的一个基本方面，即持续从用户反馈中学习并未集成到核心模型中。 AI
影响 当前的AI模型仅限于批量训练，缺乏用户交互的持续学习能力，这可能会影响它们的适应性和实际表现。
排序理由 该条目讨论了当前AI模型在持续学习方面的基本局限性，这是一个分析性的观点，而非产品发布或研究突破。
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