Exactly right, I mentioned this in a comment elsewhere but basically we can’t have our cake and eat it too.

We can’t have a perfect NL impersonator that can also be detected as not NL. (Best case, obviously things arent perfect for any AI model so technically detecting those mistakes could be used to help identify perhaps, but who’s to say what the FP rate would look like!)

Ultimately the cat is out of the bag and I’m not quite sure there is anything we can do now. Ultimately some smart fingerprinting solution would be ideal but I just don’t know how feasible that would remain.

Edit: source: I took a few 600 level ai classes in college and have made several of my own of varying types and what not