An image of an archeologist adventurer who wears a hat and uses a bullwhip

Idk, the models generating what are basically 1:1 copies of the training data from pretty generic descriptions feels like a severe case of overfitting to me. What use is a generational model that just regurgitates the input?

I feel like the less advanced generations, maybe even because of their limitations in terms of size, were better at coming up with something that at least feels new.

In the end, other than for copyright-washing, why wouldn't I just use the original movie still/photo in the first place?

So I train a model to say y=2, and then I ask the model to guess the value of y and it says 2, and you call that overfitting?

Overfitting is if you didn't exactly describe Indiana Jones and then it still gave Indiana Jones.

The prompt didn't exactly describe Indiana Jones though. It left a lot of freedom for the model to make the "archeologist" e.g. female, Asian, put them in a different time period, have them wear a different kind of hat etc.

It didn't though, it just spat out what is basically a 1:1 copy of some Indiana Jones promo shoot. No where did the prompt ask for it to look like Harrison Ford.

But... the prompt neither forbade Indiana Jones nor did it describe something that excluded Indiana Jones.

If we were playing Charades, just about anyone would have guessed you were describing Indiana Jones.

If you gave a street artist the same prompt, you'd probably get something similar unless you specified something like "... but something different than Indiana Jones".

The nice thing about humans is that not every single human being read almost every content present on the Internet. So yeah, a certain group of people would draw or think of Indiana Jones with that prompt, but not everyone. Maybe we will have different models with different trainings/settings that permits this kind of freedom, although I doubt it will be the commercial ones.

I mean, did anyone here read the prompt and not think “Indiana Jones”?