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▲ silveraxe93 7 hours ago

from your paper:

> Overall, we find that participants who had access to an AI assistant based on OpenAI's codex-davinci-002 model wrote significantly less secure code than those without access.

That model came out in March 2022, it's GPT-3.5 !!!

I'm sorry but it's absurd to use that as evidence for anything related to AI coding today.

You can't just hedge by saying "it's somewhat older". It's like discussing dunno a new train connection between cities and citing a paper measure steam locomotives.

▲CER10TY 7 hours ago | parent | next [-]

Hence why I said the studies here are quite old, and I'd like to see something more recent, though I guess it'll be some time before that's done.

I think most people writing code with AI nowadays will find it's still lacking in some areas. Not because the model isn't good (definitely miles ahead than what we had access to in 2022-2023), just because it wasn't actively mentioned and so the model skipped over it. The same will apply to security.

▲silveraxe93 7 hours ago | parent [-]

I'd also love to see recent studies. It's frustrating how even new studies end up using models which are behind the frontier at the time of publishing.

AI is advancing faster than academia can keep up. Which in general shouldn't matter. But you have this pattern where a paper comes out with a conclusion that just doesn't hold anymore by the time it's read, but people use it to form/support opinions.

▲tytho 7 hours ago | parent | prev [-]

I agree that we can’t compare older models to newer ones, but how much code was generated during those months/years when the models weren’t good at secure code? How much is still running publicly today? It’s still worth considering the impact to the overall ecosystem.

▲thomashabets2 7 hours ago | parent [-]

Luckily we have newer models going back and fixing these things.

In terms of the set of all bugs, the AIs from 2022-2023 pale in comparison with the amount of bugs written by hand in previous half century, even if 2022 AIs were worse than the average programmer.