Comment by embedding-shape

Ultimately what seems more important that how good the model is at task X vs task Y, seems to be that the human accepting/rejecting/iterating on the text can actually identify "good" from "bad" text, and makes the effort to fix it. Otherwise it doesn't matter much what model you use, it makes boring, bland and bloated prose.