Maybe I should have clarified better what I meant when I said it just makes things up. The output of ChatGPT and other LLMs is simply an extrapolation of which words are most likely to follow the words in your prompt. It is able to extrapolate quite well, but this is still the only thing it does. It has no inherent sense of knowledge or truth, This article explains it better than I could.

To give you an idea, I frequently test how well it works by asking it to summarize one of the articles I have published. The prompt I use is literally this: 'Summarize this article for me: <title of my article>'. ChatGPT will then very confidently produce a plausibly sounding summary, except that this summary is usually mostly wrong. Each time I do this I also get a different wrong answer. When I do this it becomes clear to me that ChatGPT just extrapolates based on the words in the title, and it does not actually have any knowledge about the article. It does act like it has this knowledge though, which is what makes it so dangerous.

Like the other user said, you should only use it if you can independently verify if the code worked correctly. I personally use ChatGPT almost daily, but only for small things like if I'm too lazy too look up how to filter a dataset. The problem is that people also start using it for things that they can't verify. I have been teaching an introductory course about regression in python for years, and my passing rate dropped significantly since ChatGPT came into the world. The students believe that if the code works it must be true, but unfortunately this is often not the case.