Comment by abalashov

I've found it helpful to think of models as precisely what they are: bundles of probabilistic textual associations, convolutions of their training, more search engine than "intelligence".

Just having that mental paradigm will lead to more correct uses, and avoid a lot of the most ones most likely to lead one down the primrose path. This cultural moment of SF AI psychosis will pass, but we'll be stuck with the resulting code for a long time.

Also, +1 to the folks saying that code is a liability. More is almost never better. Aim for succinctness and brevity. That cuts directly against the thrust of LLMs' tendency, but will give you plenty to curate.