So I've explained elsewhere why I think actual continual learning is needed. I don't think you can have AIs that perform whole jobs as competently as humans if they are forced to just write marked-on files from session to session.
Why listen
It goes beyond the title with direct discussion of model, kind, think, including: I don't think you can have AIs that perform whole jobs as competently as humans if they are forced to just write marked-on files from session to session.
Key takeaways
01I think the same thing will be true for a lot of skills that we want AIs to actually accumulate from all the different workplaces in which they're deployed
02One, I think that a lot of proposals that have been put forward about regulating AI assume that you train a model and then you deploy
03And therefore, if you run a bunch of checks on the model before it is deployed, we can make sure that it's not going to aid in cyber attacks or do something crazy
Best for
research-minded practitioners comparing model behavior