Emad Mostaque3:51
So, we actually started with economics because again we were thinking about this. So, we released a book last summer and we were doing all the economics stuff and thinking about it from first principles because like I said, we started with the equation of generative AI, KL divergence, the difference between your internal model and external state. Those familiar with loss curves see it going down. That's a good thing. You don't want it to spike up when your model's training. And then we managed to derive like all of economics from that. Then when we generalized it, we were like, does it work with physics? You know, because you know, we love physics. And it turned out it did. Because physics is a very interesting thing wherein it's moved away from first principles to model building. Like it's kind of, it started with Zeus throwing thunderbolts creates thunder, through to Einstein doing things from first principles and Hilbert, to now we have string theory with 500 vacua dimensions and multiverses and we've not found a single particle in CERN etc. And so we're like, what happens if you take it back? This is the Demis Hassabis thing of 1911 and before, you know, like what if you train an AI model on all the knowledge you had before 1911? Can it do general relativity? And what we found is it can, but not the way that Einstein did it. And so we've got a stack of releases across every part of physics. In the first couple that we showed, the first one was within the equations of special relativity itself, it has two inputs, relativity and the speed of light. The algebra actually shows that the speed of light is forced to be positive. So you actually only need one input. And for over 100 years, 1905, so 121 years, everyone was like that's impossible. And it's like just there. It's like a 6x6 matrix multiplication. The second paper that we released, and again these are kind of warm-ups for what we've got coming, there's the cosmological constant. So Einstein added it by hand like 1917 after Hilbert said the universe is expanding. Then he took it away. Zero cosmological constant keeps the universe static. But in 1999 we found the universe was expanding thanks to Perlmutter and they won their Nobel prizes for that. But we don't actually have a single theory or derivation of why it should be positive, why the universe is expanding. And then again just looking at the algebra of relativity, special relativity actually, you find it's also forced to be positive. And this is like finding one of those bugs in Linux, you know, like the AI was just like, let's do the math right and let's throw away all the assumptions. And it was kind of helping us through that. And it was astonishing again because you wouldn't expect that again because so many people have looked at it. But then you look at where physics is today, like all of our quantum theory is based on the universe not expanding, for example, Poincaré algebra as opposed to de Sitter. So two different types of algebra to describe the universe. And so some of our upcoming papers show that the stuff that you throw away as you go from one to the other, the actual universe versus our approximation, equals all of dark energy and things like that. And so what the AI model is doing is not a million Einsteins in a data center like Dario says from Anthropic. It's like what if we just like really thorough and follow where the math goes because there should only be one equation for the universe. Like it isn't, there are multiple things and you can choose, like the universe is one way. Economics isn't quite like that, biology isn't like that, but there are common structures that we found. But physics I think, you know, there's a lot more to come. And again it's just very interesting because a, we couldn't get the current models to do it, and again we'll be releasing more details about how we did this. And this will be important as we navigate uncertain outcomes. And when you actually put these things, these papers into the AI models, it actually breaks them. So if you put it in and you say rate this paper, the cosmological constant paper, thoroughly, be objective, be unbiased, on the same metric rate Einstein's general relativity. It'll be like general relativity is a five out of 10 paper.