this post was submitted on 19 Mar 2025
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369
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]
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.

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[–] [email protected] 8 points 4 days ago (1 children)

Coding involves a lot of very routine busy work that’s little more than typing.

That's right. You watch it type it out and right where it gets to the important part you realize that's not what you meant at all, so you hit the stop button. Then you modify the prompt and repeat that one more time. That's when you realize there are so many things it's not even considering which gives you the satisfaction that your job is still secure. Then you write a more focused prompt for one aspect of them problem and take whatever good enough bullshit it spewed as a starting point for you to do the manual work. Rinse and repeat.

[–] [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.