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Greg Kroah-Hartman – Security in the LLM Age [video]

337 points · 128 comments · usernomdeguerre

  1. devy · · focus · HN ↗
    At 3m19s Greg KH revealed what Mythos did in "revealing" 79 CVEs - pure pattern matching the previous decades of kernel developer's patches, and applying those mechanisms elsewhere to see if they have been universally patched. And Anthropic didn't cite Kernel Developers who original fixed/patched the CVEs like a decent human being would do. So yeah, Anthropic has the same problem OpenAI had for citing original work.
    1. panarky · · focus · HN ↗
      You dismiss "pattern matching" as some sort of trivial thing, so why weren't humans able to apply the same pattern matching to find and fix these defects?
      1. devy · · focus · HN ↗
        > You dismiss "pattern matching" as some sort of trivial thing

        I didn't say that - Greg said it in the talk. You interpreted wrong. However, human are a few orders of magnitude slower than agents. Our context windows is definitely less than 1 million tokens (I believe, heck we don't even know how our brain works)

        1. panarky · · focus · HN ↗
          By quoting this segment, I inferred that you agreed with Greg.

          If you disagree with Greg, then I apologize for inadvertently criticizing you personally.

          My point stands, that we're back to debating some metaphysical understanding of what "real intelligence" is when the real standard should be "does it do a better job than humans at this specific task"?

          I don't care if the Waymo isn't "truly" intelligent, it drives better than I do, that's a very good thing.

          We're all pattern matchers, and if the machine pattern matcher is can find defects and vulns that human pattern matchers can't, that's also a very good thing.

          1. miyoji · · focus · HN ↗
            > I don't care if the Waymo isn't "truly" intelligent, it drives better than I do, that's a very good thing.

            The funny thing about Waymos is that they seem amazing driving all on their own everywhere until it rains (as it did where I live for the last two days), then they're suddenly nowhere to be seen, because they can't operate correctly in conditions that I've been driving in for my entire life.

            This is a metaphor for AI as a whole.

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