Side/meta-question:

Do you all think that GPT and such will see a pattern of usefulness starting with:

1) blatantly wrong but helping to train/give examples to the most rudimentary and beginning stages of people learning a task? (since that's what it's doing at the same time?) I.e. replacing low-skilled intro training, or more charitably, helping to make it possible for far more people to learn something with assistance?

And then moving up the sophistication level to where it's, say:

2) "ok, I can tell this is not blatantly wrong, and might even be plausible from a medium skilled practitioner or analyst" and I can use this with some error checking.

to

3) even more capable / actually worrisome?

Or, does it occupy a different "sphere" of usefulness / purpose?