this post was submitted on 16 Apr 2024
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I write automation code for devops stuff. I’ve tried to use ChatGPT several times for code, and it has never produced anything of even mild complexity that would work without modification. It loves to hallucinate functions, methods, and parameters that don’t exist.
It’s very good for helping point you in the right direction, especially for people just learning. But at the level it’s at now (and all the articles saying we’re already seeing diminishing returns with LLMs) it won’t be replacing any but the worst coders out there any time soon.
I can believe that they manage to get useful general code out of an AI, but I don't think that it's gonna be as simple as just training an LLM on English-code mapping. Like, part of the job is gonna be identifying edge conditions, and that can't be just derived from the English alone; or from a lot of other code. It has to have some kind of deep understanding of the subject matter on which it's working.
Might be able to find limited-domain tasks where you can use an LLM.
But I think that a general solution will require not just knowing the English task description and a lot of code. An AI has to independently know something about the problem space for which it's writing code.
It's good for doing the boilerplate code for you that's about it.. you still need a human to do the thinking on the hard stuff.