Continual Learning Needs More Nuance

(This blog post is derived from this video response on my YouTube channel.) Dwarkesh Patel has been making the case for continual learning for a while, both with guests on his podcast and, most recently, in a blog post and an accompanying video.

I agree with his basic point. A frozen model that cannot learn from experience or adapt to its surroundings is limited. If we want AI systems that can carry out long-running work and do open-ended problem solving in the real world, some form of continual learning is necessary.