When Adobe Inc. released its Firefly image-generating software last year, the company said the artificial intelligence model was trained mainly on Adobe Stock, its database of hundreds of millions of licensed images. Firefly, Adobe said, was a “commercially safe” alternative to competitors like Midjourney, which learned by scraping pictures from across the internet.
But behind the scenes, Adobe also was relying in part on AI-generated content to train Firefly, including from those same AI rivals. In numerous presentations and public postsabout how Firefly is safer than the competition due to its training data, Adobe never made clear that its model actually used images from some of these same competitors.
Put like this, because too much variety is the biggest problem in terms of quality. People don’t want variety in terms of, say, number of limps or fingers. People have something specific in mind when they prompt an AI. They only want very limited and specific variability.
In a sense, limiting variety is the whole point of the AI. There is a vast number of possible images. Most of them would be simply indistinguishable noise to us. The proportion we would consider a sensible picture is tiny. We want to constrain the variety to within this tiny segment.
But “AI” generated images don’t suffer from too much variety, they suffer from looking samey. It’s the opposite of what you’re arguing about. Limbs aren’t really the issue here since this is about Midjourney, which handles that part fairly well already.
Adobe trained its AI “Firefly” on its stock library (and other images). Their library contains AI images. It’s unlikely that these are all from Midjourney.
I’m not sure what you mean by samey. As I said, people chase the same mainstream taste. If the images from one service looks samey, then they probably figure that’s what the customers want. It’s also possible that you only recognize this type of image as AI generated.