Evidence receipt / belief
Published · transcript-backedSpeaker unverified: belief
27 Jun 2026 The Cognitive Revolution AI:AM #4: Cameron on Model Consciousness, Duvenaud's Gradual Disempowerment, swyx's AI-Eng Alpha
“You've got to give it context. And I think as the more that we start to see phenomenal advances and changes and things in the industry, in various professions that people will, you know, they'll convert one way or the other.”
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- Speaker unverified
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- 27 Jun 2026
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- The Cognitive Revolution
Transcript context
…That internal turnover, about 80% of his people, led to the question Nathan most wanted to put to him. What about the other 80% across the whole economy? All the things that you did, you know, sound like really quite a lot. And yet, the headline number is still 80% turnover. So I'm interested in your point of view on kind of the rest of society. And that percentage kind of strikes me as like maybe where we're going, you know, a sort of 80-20 where the 20% kind of inherit the earth, you know, the labor force in the short term. Do you have any ideas about things that can be done at a broader level beyond what an individual company like yours can do to change that? I do worry about the other 80% quite a bit. I do too. And it's not like other revolutions throughout history. You can't force people to believe in something. You can't force people to do something that they just are not going to do. And so you need to leave, in my opinion, we need to leave them to their own devices. But if you can be very open and aware and make people understand what the possibility is, and #1, really attack this idea that AI is going to replace me. AI is 100% going to replace roles. It's going to replace duties. But in our case, what is done is there's too much I think we over index in this discussion of AI on efficiency gains. I see it the other way. I think it frees up innovation. So how do we help that other 80%? We get, we teach them skills. We've got to teach them skills. I was, if anybody is thinking that what we're saying is all you have to do is show up and throw a sentence into one of the models and great things will happen, you're wrong. It takes work. You've got to give it context. And I think as the more that we start to see phenomenal advances and changes and things in the industry, in various professions that people will, you know, they'll convert one way or the other. They'll convert out of necessity or they'll convert because the light bulb will go off. We're trying to make the light bulb go off. That's what we're trying to do. We're trying to ignite that fire. You need to ignite it in children. You know, what we shouldn't be doing is saying, hey, let AI do your homework for you. We should not be doing that. That's misuse. That's practically abuse. We should say, do your homework and let the AI check your homework. And if it finds you don't understand something, then say, hey, I thought I knew how to divide fractions. I guess I don't. Can you give me a tutorial on what I'm missing? And that's what AI is so good at. It'll adapt to that particular person that it's interacting with. So building the skills and building the fire, Nathan, would be my short answer. Then on standards, whether enthusiasm alone is enough.…
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