The same goes for image generation models, AI art already has a tendency to veer into the same clichés and those are only going to get reinforced if newer models are trained on newer scrapes which now include the million hyper-derivative AI images being uploaded to places like DeviantArt, Twitter and Pixiv every day. Those vendors who got in early have a moat in the form of untainted scrapes, but they'll eventually n…
This is such a wrong take. Even if the data is 100% synthetic, you can still hill climb to new mountains. If you don't believe me, look at evolution. It doesn't matter if we no longer have 100% human art as input. This is the worst these systems will ever look and feel, and they're only going to improve. I'd be willing to do a longbets on this one.
Plugging LLM into this analogy would lead to a story where we're at the initial "Permian explosion" phase of evolution. New LLMs are rapidly "hill climbing" as they feed on virgin data scraped from the Internet. But as those LLMs diversify and adapt, they peter out once all niches have been filled and the fuel consumed.
Another analogy is the Petri dish, but that's an even more pessimistic analogy than adaptive radiation.