
It just can't seem to handle fine nuanced details outside of the training data. I am trying to get it to do complicated engineering calculations to be fair. I run into frequent hallucinations. And when I write C or C++, it's allocation strategies are terrible and unmaintainable. The one thing I've got it to perform well at was writing a basic fast API service. It got the scaffolding up pretty quick. Or writing large amount of boilerplate.
Small sections within the same context with explicit instructions for each step. I usually waste more time than I save, so I've recently just taken AI out of my workflow completely other than as a stack overflow replacement. Even then, I often find just slowing down and reading the docs like I used to more helpful.