精选理由
这篇讨论点出了很多AI产品落地卡在哪：模型学不会新东西，每次都要人来教。想避开跟风炒作，先看懂这个根本问题。
持续学习问题使AI模型无法自主掌握新任务，每次都需要人类重新训练或微调，这限制了AI应用的速度与广度。研究人员指出，这一瓶颈也直接影响递归自我改进，因为模型无法像人类那样持续积累经验。如果无法解决遗忘问题，AI的进化将始终依赖人类反馈循环。
原文 · Ethan Mollick
Continual learning is probably the biggest barrier…
Continual learning is probably the biggest barrier to explosive AI adoption (& may have big implications for recursive self-improvement as well)
As long as you deal with amnesiac models that require humans to do the learning for them, adoption will be gated by human processes.