Guillaume Verdon

They're going to have to incorporate concepts that they've never seen before and very quickly get comfortable with them, right? Or learn to work in a team. And so that's sort of what we look for when we hire. We can't hire people that are just like, you know, optimizing this subsystem for the past three or four years.

They're going to have to incorporate concepts that they've never seen before and very quickly get comfortable with them, right? Or learn to work in a team. And so that's sort of what we look for when we hire. We can't hire people that are just like, you know, optimizing this subsystem for the past three or four years.

We need like really general sort of broader, uh, intelligence and specialty, uh, and people that are, that are open-minded really. Cause if you're pioneering a new approach from scratch, there, there is no textbook. There's no reference. It's just us and, and people that are hungry to learn. So we have to teach each other. We have to learn the literature.

We need like really general sort of broader, uh, intelligence and specialty, uh, and people that are, that are open-minded really. Cause if you're pioneering a new approach from scratch, there, there is no textbook. There's no reference. It's just us and, and people that are hungry to learn. So we have to teach each other. We have to learn the literature.

We need like really general sort of broader, uh, intelligence and specialty, uh, and people that are, that are open-minded really. Cause if you're pioneering a new approach from scratch, there, there is no textbook. There's no reference. It's just us and, and people that are hungry to learn. So we have to teach each other. We have to learn the literature.

We have to share knowledge bases, collaborate, uh, in order to push the boundary of knowledge further together. And so people that are used to just getting prescribed what to do at this stage, when you're at the pioneering stage, that's not necessarily who you want to hire.

We have to share knowledge bases, collaborate, uh, in order to push the boundary of knowledge further together. And so people that are used to just getting prescribed what to do at this stage, when you're at the pioneering stage, that's not necessarily who you want to hire.

We have to share knowledge bases, collaborate, uh, in order to push the boundary of knowledge further together. And so people that are used to just getting prescribed what to do at this stage, when you're at the pioneering stage, that's not necessarily who you want to hire.

I think our goal is to both run human-like AI or anthropomorphic AI.

I think our goal is to both run human-like AI or anthropomorphic AI.

I think our goal is to both run human-like AI or anthropomorphic AI.

I know it's triggering for you. We think that the future is actually physics-based AI combined with anthropomorphic. So you can imagine I have a sort of world modeling engine through physics-based AI. Physics-based AI is better at representing the world at all scales because it can be quantum mechanical, thermodynamic, deterministic, etc.

I know it's triggering for you. We think that the future is actually physics-based AI combined with anthropomorphic. So you can imagine I have a sort of world modeling engine through physics-based AI. Physics-based AI is better at representing the world at all scales because it can be quantum mechanical, thermodynamic, deterministic, etc.

I know it's triggering for you. We think that the future is actually physics-based AI combined with anthropomorphic. So you can imagine I have a sort of world modeling engine through physics-based AI. Physics-based AI is better at representing the world at all scales because it can be quantum mechanical, thermodynamic, deterministic, etc.

hybrid representations of the world, just like our world at different scales has different regimes of physics. If you inspire yourself from that in the ways you learn representations of nature, you can have much more accurate representations of nature. So you can have very accurate world models at all scales, right? And so you have the world modeling engine

hybrid representations of the world, just like our world at different scales has different regimes of physics. If you inspire yourself from that in the ways you learn representations of nature, you can have much more accurate representations of nature. So you can have very accurate world models at all scales, right? And so you have the world modeling engine

hybrid representations of the world, just like our world at different scales has different regimes of physics. If you inspire yourself from that in the ways you learn representations of nature, you can have much more accurate representations of nature. So you can have very accurate world models at all scales, right? And so you have the world modeling engine

And then you have the sort of anthropomorphic AI that is human-like. So you can have the science, the playground to test your ideas, and you can have a synthetic scientist. And to us, that joint system of a physics-based AI and an anthropomorphic AI is the closest thing to a fully general artificially intelligent system.

And then you have the sort of anthropomorphic AI that is human-like. So you can have the science, the playground to test your ideas, and you can have a synthetic scientist. And to us, that joint system of a physics-based AI and an anthropomorphic AI is the closest thing to a fully general artificially intelligent system.

And then you have the sort of anthropomorphic AI that is human-like. So you can have the science, the playground to test your ideas, and you can have a synthetic scientist. And to us, that joint system of a physics-based AI and an anthropomorphic AI is the closest thing to a fully general artificially intelligent system.