this post was submitted on 13 Oct 2026
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Seems kind of impractical, why even bother with trying to propagate a 4b model running at 0.39 tokens per second if you could instead make a conventional worm using a more powerful AI model targeting known devices? It seems like the only reason you would want to do this is if you can only find vulnerabilities while actually on the given network, but that would be kind of niche since how many people are really running totally custom stuff?
It doesn't even have to be only for known devices. Once you've compromised one device, you can just phone home to have a full powered LLM do your work.
The only real use cases for this would be on closed networks with no internet access, or networks where the traffic is closely monitored. Like, yeah, if I'm trying to hack the CIA, maybe I consider something like this. For the vast majority of devices and networks, this is inefficient and unnecessary.
I mean, it is kind of cool. But vanishingly few organizations have tight enough security that this is worth doing.
And if the traffic is closely monitored, you'd think they'd also notice all their cpu and ram suddenly being used for some mysterious purpose