Evidence receipt / belief
Published · transcript-backedBrad Carson: belief
31 May 2026 Machine Learning Street Talk When AI Decides You're a Threat — Brad Carson
“Actually, that actually becomes like a new form of like a digital divide, you know, where if this is that transformative, I want everybody to have access to it. And so this whole question of like how the public sector gets it, how universities get it, how, you know, the benefits of these incredible models are broadly distributed, I think is going to be a raging debate that is underappreciated right now in DC as the models are certainly going to get more expensive, get more gated, and it's going to be by class whether you have access to them or not.”
Source trail
Everything needed to verify it.
- Speaker
- Brad Carson
- Attribution
- Verified speaker
- Claim type
- belief
- Recorded
- 31 May 2026
- Publisher
- Machine Learning Street Talk
Transcript context
…Right? Where where there were the school had access to a supercomputer and researchers could could kind of would have quotas of time that they could they could run on the supercomputers. Could probably arrange some type of of sort of public sharing of of, you know, large scale model training. It's it's a bit tricky, but but still I I think you're absolutely right that more is needed and it'd be interesting to have a lot of these kind of shared and co developed, you know, models thriving. Right? Yeah. I think it's like the broader question of public use of this. I mean, 1 of the things that mythos, I think, brings us is this world where there's going to be increasingly bifurcated, if not separated into more elements of people who have access to top models and people who don't. You know? We know the models are only getting better. So if mythos is a problem, some of mythos is going to even be better and more dangerous to us. So presumably, it's going to be gated from the rest of us. And, you know, the government's going to not let you even give it out to companies beyond the ones they personally approve. And again, this de facto licensing regime happens. You know, if compute becomes scarcer and it becomes more expensive, you know, I want the top model. I want be able to do math and physics at home. My kids want to be able to do math and physics at home. You know, if that's $500 a month, that's a small segment that has access to superhuman intelligence. You know, my family may have it if you're certainly wealthy enough to do it, but it won't be ubiquitous. Actually, that actually becomes like a new form of like a digital divide, you know, where if this is that transformative, I want everybody to have access to it. And so this whole question of like how the public sector gets it, how universities get it, how, you know, the benefits of these incredible models are broadly distributed, I think is going to be a raging debate that is underappreciated right now in DC as the models are certainly going to get more expensive, get more gated, and it's going to be by class whether you have access to them or not. I personally was very surprised when when DeepSeek released so much detail on their methodologies and, you know, these very, like, innovative innovative algorithms, right? Because, okay, here's China, you know, our our adversary, maybe they don't love their children, you know, like like, even the Russians love their children too. Wow. They they released all this this valuable, like, information to the public. You know, wasn't that pleasantly pleasantly surprising to you? And and what do you think it says about how China interacts, let's say, in this this world of AI with the West?…
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