Comment by hypfer
6 days ago
What are they talking about.
How much ram do they think smart ovens have?!?
Have they ran this by any domain expert that isn't claude?
Even a 9B weights model is way too large for any such IoT. And that then is a 9B weights model, which really cannot do all that much.
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> It appears that GLM-5.2 is able to propagate Llama3.1-8B well, which suggests that future small models of the same capability level could also complete the network enumeration, payload delivery, and inference standup steps of the replication process.
That's not science. That's science fiction.
The almost 744B parameter count model capabilities will "in the future" fit in 8B parameters. That's their assumption?
That is coming from an actual frontier AI lab?
> The almost 744B parameter count model capabilities will "in the future" fit in 8B parameters. That's their assumption?
The article says by the end of the year. It's laughable.
Not just that, but also directly at odds with the data center buildout, because if true then why bother with all that expensive VRAM and compute?
So even within their own system logic it makes no sense.
exactly. and in their table of potential devices the botnet can use:
- endoscopy AI units - portable DNA sequencers - smart shopping carts - surgical robots
this is ridiculous.