I agree this is probably their thinking - they view frontier models (and the capability to build them) as a vital strategic edge that they want to keep to themselves.

The problem is that there are network effects at play - the more people you have using your models, the more training and fine-tuning data you're accumulating, so the faster you can develop the next frontier model. Not to mention the fact that more users means more revenue to fund your next-gen model training.

Perhaps the US administration is gambling that US citizens on their own provide enough of a training data and revenue flywheel for them to keep their AI development edge.

The next interesting question will be - will the US share this capability with her traditional strategic allies (e.g. five-eyes countries), or is it truly America First (or, 'America Alone')?

▲

pksebben 3 hours ago | parent | next [-]

> Perhaps the US administration is gambling that US citizens on their own provide enough of a training data and revenue flywheel for them to keep their AI development edge.

There is no way to enforce access of one and not the other, not with the state of tech in the US (and most countries without a great firewall). Bypassing such controls is as easy as a pilfered credit card (or some other american-looking payment method) and a vpn - both trivial to come by.

▲

gmueckl 2 hours ago | parent [-]

It may not be perfect, but this hurdle would still keep out ~99% of the targeted people.

▲

pksebben an hour ago | parent [-]

Genuinely curious - who do you think the targeted people are and how would this keep them out?

	▲	gmueckl an hour ago \| parent [-]
		For the sake of this discussion, I'm going with the nationalistic vibe of the order: anybody who isn't a citizen of the USA (presumably to limit risk of AI-supported action against the US?). But that in itself is telling in a way: if national security was a true concern, access should be limited to people who passed background checks.

▲

asp_hornet 3 hours ago | parent | prev [-]

> the more people you have using your models, the more training and fine-tuning data you're accumulating, so the faster you can develop the next frontier model

I’ve wondered this but then wouldn’t a large amount of input now just be AI output from a previous PR/client email/spec document/chat. Training of that would be an issue leading to distillation?