Human-written data varies in style, whereas model-generated outputs tend to be stylistically consistent.

“So that was, uh, one big learning. The other big learning is that every time you produce data, it comes in a different style. Humans-- all humans write in a different style, but if you look at models output, they are very stylistically consistent.”