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Dario Amodei: belief

11 Nov 2024 Lex Fridman Podcast #452 – Dario Amodei: Anthropic CEO on Claude, AGI & the Future of AI & Humanity

“I think no matter how smart you are, people talk about, “Oh, we can make models of biological systems that’ll do everything the biological systems … ” Look, I think computational modeling can do a lot.”

— Dario Amodei

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Everything needed to verify it.

Speaker
Dario Amodei
Attribution
Verified speaker
Claim type
belief
Recorded
11 Nov 2024
Publisher
Lex Fridman Podcast

Transcript context

…So why? So yeah. Let’s describe the extreme. So one extreme would be, “Well, look. If we look at evolutionary history like there was this big acceleration, where for hundreds of thousands of years we just had single-celled organisms, and then we had mammals, and then we had apes. And then that quickly turned to humans. Humans quickly built industrial civilization.” And so, this is going to keep speeding up and there’s no ceiling at the human level. Once models get much, much smarter than humans, they’ll get really good at building the next models. And if you write down a simple differential equation, like this is an exponential … And so what’s going to happen is that models will build faster models. Models will build faster models. And those models will build nanobots that can take over the world and produce much more energy than you could produce otherwise. And so, if you just kind of solve this abstract differential equation, then like five days after we build the first AI that’s more powerful than humans, then the world will be filled with these AIs in every possible technology that could be invented, like will be invented. I’m caricaturing this a little bit, but I think that’s one extreme. And the reason that I think that’s not the case is that, one, I think they just neglect the laws of physics. It’s only possible to do things so fast in the physical world. Some of those loops go through producing faster hardware. It takes a long time to produce faster hardware. Things take a long time. There’s this issue of complexity. I think no matter how smart you are, people talk about, “Oh, we can make models of biological systems that’ll do everything the biological systems … ” Look, I think computational modeling can do a lot. I did a lot of computational modeling when I worked in biology. But just there are a lot of things that you can’t predict how … They’re complex enough that just iterating, just running the experiment is going to beat any modeling, no matter how smart the system doing the modeling is. Well, even if it’s not interacting with the physical world, just the modeling is going to be hard?…

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