The problem is eventually what are LLMs going’s to draw from? They’re not creating new information, just regurgitating and combining existing info. That’s why they perform so poorly on code for which there aren’t many many publicly available samples, SO/reddit answers etc.
AI companies are already paying humans to produce new data to train on and will continue to do that. There's also additional modalities -- they've already added text, video, and audio, and there's probably more possible. Right now almost all the content being fed into these AIs is stuff that humans can sense and understand, but why does it have to limit itself to that? There's probably all kinds of data types it coul…
The sheer difference in scale between the domain of “here are all the people in the world that have shared data publicly until now” and “here is the relatively tiny population of people being paid to add new information to an LLM” dooms the LLM to become outdated in an information hoarding society. So, the question in my mind is, “Why will people keep producing public information just for it to be devalued into LLMs?”