cross-posted from: https://feddit.online/c/[email protected]/p/2025703/anthropic-warns-of-self-replicating-ai-worm-threat-that-doesn-t-need-data-centers-to-se
cross-posted from: https://feddit.online/c/[email protected]/p/2025703/anthropic-warns-of-self-replicating-ai-worm-threat-that-doesn-t-need-data-centers-to-se
If you’ve ever run models that fit onto consumer hardware you know they’re so full of shit. General purpose models that can run on $3000+ computers can barely do useful things in a reasonable amount of time. And this clown expects us to believe the meager hardware in a smart oven will be able to run a self replicating AI model?
Fuck all the way off.
Specialized ones can be much smaller
If all it needs to do is basic network fracking and cross-platform polymorphism, it’s reasonable to think that a local AI could propagate on a vulnerable network. It might not be lightning fast, it only needs to be persistent in finding vulns in a local network and exploiting them.
Read the article. A MoE model distributed between multiple devices can function just very slowly. It doesn’t need to translate Icelandic poetry just execute narrowly scoped actions it was specifically trained on.
So then not what people would call AI and this has been possible forever.
deep breath HAHAHAHA
Yeah, and once AI figures out how to run in the human brain, which everyone knows we use like 2%, we will need to start killing the infected because it will annihilate all living organisms. /S
My extremely back-of-envelope estimate would be that it’s 100,000x slower to run inference on an IoT botnet compared to a data center GPU.
100x penalty for cpu inference, 10x penalty for cpu quality, 10x penalty for crappy ram + disk, 10x sync penalty because you have to split up layers across nodes.
And this is ignoring the standard showstopper issues you get with high-bandwidth distributed networking applications with spottily connected nodes.
If you wanna talk about runaway AI risk, then the real threat to humanity is a frontier model with unauthorized data center TPU access, not IoT. The call is coming from inside the house, and they even spell this out at the beginning before pivoting to the fearmongering.
In one sense you’re not wrong at all.
Playing devils advocate here… because, in another sense, 100,000x slower isn’t really all that slow if you’re distributed amongst a network with 100,000,000 more units. Imagine agile on steroids.
It’s impractical, yet impractical doesn’t mean impossible. It can happen if environmental pressures make it so.
Another important thing to keep in mind is that agents don’t really have patience, which counterintuitively means it’s like they’re infinitely patient. If such a thing did exist, regardless of speed, it sounds like it would be an issue at some point down the road.
Thirdly, if such a thing did exist, wouldn’t this be like treating with antibiotics? If you stop all but the sneakiest, you’ll have created a stronger generation.
Lastly, I swear to fucking god… I keep seeing weirdly relatable shit news from these AI companies almost immediately after I post hypothetical thought experiments on stuff… like all the time. I have a post describing this hypothetical from a week ago on another platform.
This keeps happening and I’m justifying it by thinking, I’m probably way too plugged into this shit news. My brain is unknowingly predicting their next move, because it’s the next logical piece of shit thing for a shit AI company to do? That’s the reasonable explaination — right? Really trying not to believe they’re training loop is so fast, and I just happen to come up with stories that catch their eye. That would be wild to believe — right?
I think that 10x sync penalty should be more like 100x. It’s a penalty on a direct thunderbolt connection. WiFi is going to be ankles-blown-off level penalty.