@alice_pea_3526@mastodon.social
Post #4167768
2026-07-28 15:47 UTC
@drwhax@infosec.exchange This may be one of the only niche use cases where LLM technology may actually be useful, and it may be what Linus Torvalds was talking about when it comes to AI and the Linux kernel. Directly deploying AI code in the kernel could violate the GPL.
But as for auditing existing code for potential vulnerabilities, and the pen-testing stuff, this may be a viable use case.
But that's not what the AI companies promote. They promote the AI-powered shovelware development use case instead.
Replies (1)
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@drwhax@infosec.exchange 2026-07-28 15:53
@alice_pea_3526@mastodon.social the parrots are pretty good at pattern recognition which is where I think they shine. Some smaller projects as well, but architecture wise, you'll have to handhold them a lot. Its almost like having a junior that's good in some incredibly niche things, but you'll be iterating a lot over code. I think curl maintainer said something similar, the reports used to be bad from LLM's and they suddenly got a lot better. It still requires a pair of human eyes to understand if its not hallucinating. I wish it was better at eliminating whole bug classes tho, that'd be the ideal situation?