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londons_explore • 11/04/2025 • 1 reply • view on HN

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.


Replies

conradev • 11/05/2025

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