this post was submitted on 03 Nov 2023
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Programming
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If you were on my team and I knew you were doing this, aside from all the other issues everybody else has mentioned in this thread, I'd be going out of my way not just to check every single one of your git commits (both code changes and commit messages) for inaccuracies but also also to find every possible reason to nit pick everything you committed.
You shouldn't be using LLMs to write your git commits (messages or code changes.) They hallucinate. But if you are going to use them, you need to spend much more time proofreading what they output than you'd spend writing it yourself. Check every single word for errors. (And, honestly, make the text fit with the way other commits by your team read (assuming you are on a team).)
In short, if you're going to use LLMs, DO NOT TRUST ANYTHING THEY GIVE YOU. And don't be surprised if you get negative blowback from others for using them at all. Keep in mind what can happen if you trust LLMs.
IMHO, the provided link is largely irrelevant to this topic. It is about lawyers who used ChatGPT as a search engine https://youtu.be/oqSYljRYDEM?t=1436, which is not what it is for, and it will tell you that over and over again. The lawyers in question were not even "trusting ChatGPT". They blatantly and actively disregarded ChatGPT telling them that it was not a search engine and could not provide legal advice https://youtu.be/oqSYljRYDEM?t=1466
This topic is about using LLMs to generate natural language describing code changes that it is provided with which is not only completely different than using an LLM as a defacto search engine, but it is also something LLMs are actually meant to do: autocomplete. This topic is more akin to using LLMs to write title headings for legal documents which are already basically complete as is than it is akin to the link provided.