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Machine Learning Street Talk / episode intelligence

When AI Decides You're a Threat — Brad Carson

31 May 2026 18 published claims 2 attributable people

Speakers in the public record

Claim mix

belief 8evaluation 5prediction 2preference 2recommendation 1

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The useful parts, with receipts.

18 published records

01 / belief

Of course, I think a huge worry of mine is this concentration of power and wealth, right, in a very few people. And that's why, you know, over the last few years, things like open sourcing, which has risks as well, I think net net is a good thing because this concentration of wealth and power is is so kind of preening to me.

“Of course, I think a huge worry of mine is this concentration of power and wealth, right, in a very few people. And that's why, you know, over the last few years, things like open sourcing, which has risks as well, I think net net is a good thing because this concentration of wealth and power is is so kind of preening to me.”
Speaker
Brad Carson
Publisher
Machine Learning Street Talk

02 / belief

If if my history serves me correctly, even after the signing of that of that treaty, there were there were countries that still continued, like, and and a couple at least, that maybe or probably developed, you know, nuclear weapons. And I think that the problem with hypothetical, like the hypothetical AI is that it's so powerful.

“If if my history serves me correctly, even after the signing of that of that treaty, there were there were countries that still continued, like, and and a couple at least, that maybe or probably developed, you know, nuclear weapons. And I think that the problem with hypothetical, like the hypothetical AI is that it's so powerful.”
Speaker
Keith Duggar
Publisher
Machine Learning Street Talk

03 / belief

I'm sure China is. And, you know, and so I think, if anything, we should, like, learn lessons from what they're doing there and venerate what they have achieved as a culture, you know, without any love for the CCP, of course, or any illusions about, you know, what Xi's ambitions might be that could be inimical to those at The US.

“I'm sure China is. And, you know, and so I think, if anything, we should, like, learn lessons from what they're doing there and venerate what they have achieved as a culture, you know, without any love for the CCP, of course, or any illusions about, you know, what Xi's ambitions might be that could be inimical to those at The US.”
Speaker
Brad Carson
Publisher
Machine Learning Street Talk

05 / belief

I think, you know, this they had especially when deep sea was kind of making a name for itself, maybe the government liked it because they were making China a champion.

“I think, you know, this they had especially when deep sea was kind of making a name for itself, maybe the government liked it because they were making China a champion.”
Speaker
Brad Carson
Publisher
Machine Learning Street Talk

06 / belief

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.

“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.”
Speaker
Brad Carson
Publisher
Machine Learning Street Talk

07 / belief

We we we totally misinterpreted a lot of what the Soviets were doing and saw aggression where there wasn't, or we saw nothing where there actually was aggression. And to me, that's like, I think, a powerful lesson about the Chinese.

“We we we totally misinterpreted a lot of what the Soviets were doing and saw aggression where there wasn't, or we saw nothing where there actually was aggression. And to me, that's like, I think, a powerful lesson about the Chinese.”
Speaker
Brad Carson
Publisher
Machine Learning Street Talk

08 / belief

I think, you know, with this incredible power does come some responsibility that's not codified in law. It's really almost a moral obligation, which to their credit, I think many of the companies recognize this and do their best you know, to try to satisfy that that itch.

“I think, you know, with this incredible power does come some responsibility that's not codified in law. It's really almost a moral obligation, which to their credit, I think many of the companies recognize this and do their best you know, to try to satisfy that that itch.”
Speaker
Brad Carson
Publisher
Machine Learning Street Talk

11 / prediction

Once you're there, you're in kind of a government licensing regime of sorts. And so you're gonna see more government involvement in this because the the power is just too too great for private sector actors alone to decide its use.

“Once you're there, you're in kind of a government licensing regime of sorts. And so you're gonna see more government involvement in this because the the power is just too too great for private sector actors alone to decide its use.”
Speaker
Brad Carson
Publisher
Machine Learning Street Talk

12 / evaluation

I think the second thing is, and this is a unique part of American law, and it's controversial in some spaces, but it's now well established, that lots of times liability is hard to place on a particular person.

“I think the second thing is, and this is a unique part of American law, and it's controversial in some spaces, but it's now well established, that lots of times liability is hard to place on a particular person.”
Speaker
Brad Carson
Publisher
Machine Learning Street Talk

13 / evaluation

Well, you know, right now, we don't have any regulations. And my view is that groups like a 16 z or people in Silicon Valley have largely captured the process because they work very informally through networks of political influence.

“Well, you know, right now, we don't have any regulations. And my view is that groups like a 16 z or people in Silicon Valley have largely captured the process because they work very informally through networks of political influence.”
Speaker
Brad Carson
Publisher
Machine Learning Street Talk

16 / evaluation

It's probably the first 1 in history that's being developed behind closed doors, right, with very little public oversight and with the best minds going behind the doors. So, yeah, I think there should be you know, I'm always excited personally by when I read Argonne is going to try to develop their own LLM for you know, the public sector.

“It's probably the first 1 in history that's being developed behind closed doors, right, with very little public oversight and with the best minds going behind the doors. So, yeah, I think there should be you know, I'm always excited personally by when I read Argonne is going to try to develop their own LLM for you know, the public sector.”
Speaker
Brad Carson
Publisher
Machine Learning Street Talk

17 / recommendation

If you're Pliny the Liberator and like a brilliant jailbreaker, maybe you can get around it on occasion. But if you're running these companies, you should expect Pliny to come and jailbreak you, and you should try to protect it against that.

“If you're Pliny the Liberator and like a brilliant jailbreaker, maybe you can get around it on occasion. But if you're running these companies, you should expect Pliny to come and jailbreak you, and you should try to protect it against that.”
Speaker
Brad Carson
Publisher
Machine Learning Street Talk

18 / preference

We chose not to use them in some way. And that's, you know, because the rule of military is not to press technology to its outer limit, to like utter destruction.

“We chose not to use them in some way. And that's, you know, because the rule of military is not to press technology to its outer limit, to like utter destruction.”
Speaker
Brad Carson
Publisher
Machine Learning Street Talk
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