在 AGI 和预训练上发生的事情，在某种意义上是他们超出了目标。 你会意识到，人类并不是 AGI。因为人类缺乏大量的知识。我们依靠的是持续学习。 即使我造出一个超级智能的 15 岁少年，他其实并不真正懂很多东西。他是一个优秀的学生，非常渴望学习。你可以对他说：‘你去做程序员。你去做医生。去学习吧。’ 因此你可以想象，AGI 的部署本身将会包含某种学习、试错的过程。它更像是一个发展过程，而不是你把一个 ‘成品’ 直接扔出来。” “The thing that happened with AGI and pretraining is that in some sense they overshot the target. You will realize that a human being is not an AGI. Because a human being lacks a huge amount of knowledge. Instead, we rely on continual learning. If I produce a super intelligent 15 -year -old, they don't know very much at all. A great student, very eager. [You can say,] ‘You go and be a programmer. You go and be a doctor. Go and learn.’ So you could imagine that the deployment itself will involve some kind of a learning trial and error period. It's a process as opposed to, you drop the finished thing.”