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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. Gigachad · · focus · HN ↗
          Human brains don’t have a context window. The brain just constantly reconfigures itself on new input. The AI people call this “continuous learning” and believe it’s one of the most important things current AIs are missing.
          1. devy · · focus · HN ↗
            How did you know that? No one knows how human brain work yet. So don't pretend.
            1. Gigachad · · focus · HN ↗
              We do actually know pretty well how the brain works at the level of neurons. We don't know the higher levels of how all of those interactions work to produce certain behaviors.
              1. omnicognate · · focus · HN ↗
                Cellular neuroscience is a very active research field, and until we actually manage to derive organism behaviours from cellular-level models we won't know that those models are complete enough to do so. We haven't even managed that for C. Elegans, with 959 neurons, let alone humans, with 86 billion.
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