Comment by londons_explore
3 days ago
Currently AI doesn't work very well on hardware separated by hundreds of milliseconds of latency and slow network links. Both the training and inference are slow.
However I think this is a solvable problem, and I started solving it a while ago with decent results:
https://github.com/Hello1024/shared-tensor
When someone gets this working well, I could totally see a distributed AI being tasked with expanding it's own pool of compute nodes by worming into things and developing new exploits and sucking up more training data.
Couldn’t an AI write and deploy a botnet much like a human does today? With a small, centralized inference core.
It doesn’t need to be fully decentralized, the control plane just needs some redundancy