[tudelo]

Are there not situations where a learned model could be insufficient due to lack of real-time learning?

It is my understanding that a lot of current applications take a ton of training time / computing power and it's not so trivial to do in the moment. I guess this is less of a theoretical problem and more of a practical problem though.

[throwawaygh]

> I guess this is less of a theoretical problem and more of a practical problem though.

Yeah, exactly. Theoretically, ML can do anything. Practically, not so much.