I'm curious how you would airgap a datacenter-scale training run. No reading training data from a cloud store, someone from OpenAI flies out to Abilene or whereever with a suitcase full of SSDs? When researchers in SF write code for a new RL environment, they ping somebody who sticks it on a flash drive and walks over to the server rack with the GPUs? Has anyone ever trained an LLM like this?
Maybe you don't mean a literal airgap, you just mean configuring Internet access off. But... they did that. That's why the agents had to hack Artifactory to get it...
> how you would airgap a datacenter-scale training run
You could start with standard firewall rules and VLANs. Pretty basic stuff we've had for decades.
Data diodes exist and are common in high-security environments https://en.wikipedia.org/wiki/Unidirectional_network
The hardware literally only goes one way. Nothing can "escape" without rewiring cables.