I think that's because the mind can make more sense of a mismash of visual data and see patterns and pictures. Comparatively if drop words here or you can still

I think that's because the mind can make more sense of a mismash of visual data and see patterns and pictures. Comparatively if drop words here or you can still make sense of what I wrote, but it's much more difficult for the reader to parse what I'm saying if I accidentally a few words. If my drawing has a clearly recognizable human figure but it has 7 fingers, it's still recognizable that it was trying to draw a human. LLMs have been able to generate words for years now. Hell, Tay was back in 2016. Making sure ChatGPT is able to answer the way it does (ie filter out bad things) is part of what makes it hard, and thus bigger, to implement. But having a cohesive readable output is what's hard and takes up more space. Plus, unless I missed it, we don't actually know how many gigabytes the model file for ChatGPT is.