[Ekaros]

And I think it is radical. If the consumer wants certain race, gender, disability and so on they can do it via prompt.

If they want diversity do it by corpus. Get images from Africa and Asia and so on... Feed that to model to get there...

[bcye]

> If the consumer wants certain race, gender, disability and so on they can do it via prompt

No in that case you'll just have a default. Believing that the default should be diverse/random is imo not a radical view.

[alexey-salmin]

If it's "random" as in "proportional to the actual distribution" then it's perfectly reasonable.

But random as in "proportional to an imaginary world that some people want to present as reality" is questionable.

[Ekaros]

And here the "proportional to the actual distribution" means distribution in training data. If that is not diverse enough, they can very well spend couple billions and go get more from areas that increase that diversity, like mentioned Africa and Asia and maybe South America...

[bcye]

I think it's probably (accidentally?) proportional to actual distribution (worldwide not in the west)

[crooked-v]

> do it by corpus

That would be a default. Defaulting to current demographics fitting whatever context is requested (e.g. "a set of US doctors" matching US population demographics) would be an entirely reasonable default, but it would still be a default.