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Show top LLMs buggy code and they'll finish off the mistakes rather than fix them. (www.theregister.com)

submitted 3 weeks ago by [email protected] to c/[email protected]

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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.

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[–] [email protected] 1 points 5 days ago

Thank you! I'll try this out. I've been mostly using it while playing around with new things rather than to expand scaffolding on existing stuff.

However what I find frustrating is that it so confidently gives you garbage sometimes. I was trying to configure some stuff in docker that needed a very extensive yaml config. It confidently gave me flags and keys to accomplish what I wanted that looked logical and fit in with rest of the style but simply did not exist.