Oh for crying out loud, I obviously mean these specific mistakes. If you have worked in any capacity with LLMs like this you would have seen them variables or suddenly switch up the convention of how they're written.
Certainly if you are in a conversation mode after a few back and forths this happens from time to time.
I am just not going to spend my time digging to previous prompts of code I might not want to share just to satisfy a random internet person .
The models I've used don't make typos on variable names that already exist in the context. Typos are not the failure mode, this is literally the easiest text prediction task they can do.
What you guys probably want to do instead is get to a common definition of what a typo is. Personally, I understand it as a typographic error, which is a fancy way of saying a spelling mistake (a mistake on a letter), not a mistake where one use a word for another.
Certainly if you are in a conversation mode after a few back and forths this happens from time to time.
I am just not going to spend my time digging to previous prompts of code I might not want to share just to satisfy a random internet person .