[Lockyy]

Is this fundamentally different from training a human exclusively on the same and expecting them to advance the field of art by a hundred years? These sorts of progressions in humanity are slow and steady with occasional exceptions that produce leaps.

[V-2]

They may be slow, especially by machine standards, but they do occur. Their pace isn't really relevant to my point.

And humans are trained on the same; unlike AI, we don't have any external supply of art to rely on : ) At any given time, all we have is what we've already created so far

[saynay]

I would actually say that humans have an enormous extra set of data that we, as people, are "trained" on. We walk around in our daily lives, seeing things constantly, and that influences our perception of art. Art is always a product of the broader context it was made in (social, environmental, etc). Something that gets accepted or praised today might very well not have been 200 years ago.

One of the things that is interesting with these new big models is it is dramatically broadening the context in use. The models are learning both the textual representation of a concept, as well as the artistic/visual representation and the relationship between the two domains.

[roofone]

That’s a good point. Though AI should be millions(?) of times faster and get to those leaps quicker…but can it?

Would be very cool to see that experiement.