But those differences fall within a band of generally accepted results don’t they? And the cost to throw the code away and reimplement is low now. So maybe it doesn’t really matter if the implementation is perfect or identical.

That being said I agree people trust AI too much. Especially people with less experience. It’s easy to forget the models are mirrors of we are as the drivers of the input context not mentors that will guide us to best practices reliably.