agree and i wonder why don't they (the leading AI labs that are putting out these models) fix this? I felt it shouldn't be too hard to introduce some bias towards more intelligible text during the post training/fine-tuning stages?
Maybe users engage more with the flowery text? An accidental (or intentional) dark pattern would be that more tokens get used if you have to summarise. Or maybe it's just that many AI users like it (they like the AI to sound smart, or like to feel smart puzzling it out).
I guess they use their chatlogs to fine tune.
Maybe users engage more with the flowery text? An accidental (or intentional) dark pattern would be that more tokens get used if you have to summarise. Or maybe it's just that many AI users like it (they like the AI to sound smart, or like to feel smart puzzling it out).