The deployment for top secret government networks probably is reasonably secure. The problem is that they also store those weights in a bunch of other data centers that are necessarily connected to the internet, and the only way to not do that would be to shut down their consumer product and lose 99% of their income.
I agree that the models served to civilian customers over API can’t be realistically secured from the state adversaries, but if we are speaking about advanced AI R&D in the future like in AI 2027, than it looks feasible to conduct it on protected servers. Maybe I misunderstood author’s opinion
No, it’s not at the moment feasible, without building infrastructure that would halt frontier training progress at the relevant company for months, if not years, to keep weights limited to servers with nation-state level robustness.
The deployment for top secret government networks probably is reasonably secure. The problem is that they also store those weights in a bunch of other data centers that are necessarily connected to the internet, and the only way to not do that would be to shut down their consumer product and lose 99% of their income.
I agree that the models served to civilian customers over API can’t be realistically secured from the state adversaries, but if we are speaking about advanced AI R&D in the future like in AI 2027, than it looks feasible to conduct it on protected servers. Maybe I misunderstood author’s opinion
No, it’s not at the moment feasible, without building infrastructure that would halt frontier training progress at the relevant company for months, if not years, to keep weights limited to servers with nation-state level robustness.