Or more generally: it’s perhaps not the best idea to make the entirety of your reasoning ability dependant on something external to you. Doubly so if that’s a tool with a subscription model.
Then again, have you ever asked a golden retriever about CMake errors? Rubber ducking is a real thing, after all. Besides, a golden retriever would be a good morale boost if nothing else.
ML in general is alien to how we think of intelligence.
The closest I can make a biology analogy, is if someone had an immortal and congenitally-brain-damaged large rodent, and mapped tokens to different scent molecules, and spent 800,000 years training it on how well it could imagine the next smell in the sequence before even considering making it conversational.
Yes, it can do a lot.
But also, it took a long "subjective" (if it even has that) time to get there; and despite it being really bad at learning from examples, it is pretty surprising that such a small brain was even capable of learning so much at all, even though it had an effectively unbounded (by biological standards) amount of time spent on that training.
