this post was submitted on 19 Mar 2025
372 points (100.0% liked)

Technology

67987 readers
3882 users here now

This is a most excellent place for technology news and articles.

Our Rules

  1. Follow the lemmy.world rules.
  2. Only tech related news or articles.
  3. Be excellent to each other!
  4. Mod approved content bots can post up to 10 articles per day.
  5. Threads asking for personal tech support may be deleted.
  6. Politics threads may be removed.
  7. No memes allowed as posts, OK to post as comments.
  8. Only approved bots from the list below, this includes using AI responses and summaries. To ask if your bot can be added please contact a mod.
  9. Check for duplicates before posting, duplicates may be removed
  10. Accounts 7 days and younger will have their posts automatically removed.

Approved Bots

founded 2 years ago
MODERATORS
[email protected]
[email protected]
[email protected]
[email protected]
[email protected]
372
Show top LLMs buggy code and they'll finish off the mistakes rather than fix them. (www.theregister.com)
submitted 1 week ago by [email protected] to c/[email protected]
43 comments fedilink hide all child comments
 

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.

you are viewing a single comment's thread
view the rest of the comments
[–] [email protected] 4 points 1 week ago (1 children)

We have a handful of Python tools that we require to adhere to PEP8 formatting, and have Jenkins pipeline jobs to validate it and block merge requests if any of the code isn’t properly formatted. I haven’t personally tried it yet, but I wonder if these AI’s might be good for fixing up this sort of formatting lint.