Thread

1. intrepidsoldier · 1790914300 · focus · HN ↗

   Just the beginning. AI is going to expose how fragile the entire computing infrastructure in our world is.

   1. flohofwoe · 1790934118 · focus · HN ↗

      No, it will be a tsunami of new discoveries in old code bases at first, but that will settle down as those old bugs are fixed. It's been like this with every new code analysis tool (the wave may be exceptionally high this time though).

      1. thewizzardofnl · 1790939767 · focus · HN ↗

         There is a difference here. The "new coding analysis tool" that you use for the analogy here is getting better every few weeks with the release of new models.

         It is plausible to assume that, for instance, a Linux kernel that was hardened for CVEs that Sonnet 3.5 could detect is not hardened for bugs that Sonnet 4.5, 5.5, Opus, Fable, and models in 2027 can and will be able to detect.

         Hence, it is rather a constant catch-up game until the LLM improvements might hit a ceiling and won't get any better in this regard.

         1. adrianN · 1790941766 · focus · HN ↗

            You assume an infinite level of brokenness is legacy code bases. Granted, working on those things one can get the impression, but I think stable code converges to a low level of bugs after sufficient scrutiny and superhuman scrutiny doesn't reveal a never ending deluge of new problems. Not to mention that the bug-chains that you need for a successful exploit keep getting longer very quickly as more problems are discovered and the code is hardened.

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