Researchers have found that large language models (LLMs) tend to parrot buggy code when tasked with completing flawed snippets.
That is to say, when shown a snippet of shoddy code and asked to fill in the blanks, AI models are just as likely to repeat the mistake as to fix it.
Thank you. Honestly that had not really crossed my mind. I’m on the spectrum so I take people literally sometimes. That seems like a very real possibility.