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

submitted 5 days 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] 4 points 3 days ago* (last edited 3 days ago)

That sounds exhausting to me.

Like seriously what busywork is so routine and so basic that you need an AI to do it but couldn't make a template for it? And how is it less work to read what it gave you to check for errors? That's always the harder part of coding in my experience.

I would love to know the specifics of where this supposedly saves time.

I suspect the energy you're putting into learning this tool could go into becoming a better typist, and you wouldn't need to cook the planet to do it.