I was really impressed with a lot of the GPT3 stuff I had seen people showing so I gave it a spin myself. I was surprised by how repetitive it seemed to be, it would write new sentences but it would repeat the same concepts among similar prompts. I wish I saved the examples, it was like when a chat bot gets in a loop but GPT3 varied the sentence structure. I think that if you look closely at transformer models outputs you can expect the same sort of thing. Its like in high school when people would copy homework but use different wording.

I also think generally in ML and DL the overarching progress gets hyped but in the background there are murmurs about the limitations in the research community. Thats how we end up with people in 2012 saying FSD is a couple years away but in 2022 we know we aren't even close yet. We tend to oversell how capable these systems are.