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Brad Carson

Published podcast speaker

Claims
16
Episodes
1
Shows
1
Named items
0

Claim ledger

What Brad said.

6 transcript-backed 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

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

03 / 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

04 / 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

05 / 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

06 / 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
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