Trained on buggy code, LLMs often parrot same mistakes
www.theregister.com
: One more time, with feeling ... Garbage in, garbage out, in training and inference

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.

  • sugar_in_your_teaEnglish
    11·
    9 hours ago

    And if you do that without saying you want to factor, I likely won’t stand up for you on the next round of layoffs. If I wanted to make the codebase worse, I’d use AI.