2026-10-13 03:36 UTC
Replies (7)
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@TropicalDingdong@lemmy.world 2026-10-13 04:30
Good for them.
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@red_tomato@lemmy.world 2026-10-13 06:57
This is scary if true. Imagine someone installing such model to some smart TV in some relaxation break room of a nuclear facility.
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@captain_solanum@sh.itjust.works 2026-10-13 08:15
Thankfully, the huggingface incident proved how much care AI companies put in making sure their models cannot break out, and how aligned to human values the LLM swarms are.\s With that said I think regular personal computers are more likely to get hit by this. About as secure (not very) but much more GPU power and data to harvest.
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@quinkin@lemmy.world 2026-10-13 09:50
We should only allow AI to be in the safe confines of our big data centres. It’s for our own safety, trust me bro.
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@chicken@lemmy.dbzer0.com 2026-10-13 09:55
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?
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@smeg@feddit.uk 2026-10-13 13:13
So they need brand new top-of-the-line GPUs, but they’re also capable of running on old unpatched IoT devices?
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@AVincentInSpace@pawb.social 2026-10-14 18:24
Even if I took every word of this at face value, I feel like people would notice the CPU usage.