Eiso Kant

I think you're fair to say that a lot of knowledge moves around.

I think you're fair to say that a lot of knowledge moves around.

If you look at our capital raise, our last $500 million round, you'll see that there's none of the big hyperscalers, Google, Microsoft, Amazon were part of the round. Was that deliberate? That was deliberate from us. Because I think right now there's a future we see ahead of us for the world. And right now we see a path towards that future that we can do as a standalone company.

If you look at our capital raise, our last $500 million round, you'll see that there's none of the big hyperscalers, Google, Microsoft, Amazon were part of the round. Was that deliberate? That was deliberate from us. Because I think right now there's a future we see ahead of us for the world. And right now we see a path towards that future that we can do as a standalone company.

If you look at our capital raise, our last $500 million round, you'll see that there's none of the big hyperscalers, Google, Microsoft, Amazon were part of the round. Was that deliberate? That was deliberate from us. Because I think right now there's a future we see ahead of us for the world. And right now we see a path towards that future that we can do as a standalone company.

And we have to acknowledge the fact that we're all in the same race. And so to me, you can make strategic decisions along the way where you decide to say, hey, we're partnering up together in one way or another, like you're referring to equity relationships. It wasn't something that we had to do at this point. And it's something that, frankly, we very consciously decided not to do right now.

And we have to acknowledge the fact that we're all in the same race. And so to me, you can make strategic decisions along the way where you decide to say, hey, we're partnering up together in one way or another, like you're referring to equity relationships. It wasn't something that we had to do at this point. And it's something that, frankly, we very consciously decided not to do right now.

And we have to acknowledge the fact that we're all in the same race. And so to me, you can make strategic decisions along the way where you decide to say, hey, we're partnering up together in one way or another, like you're referring to equity relationships. It wasn't something that we had to do at this point. And it's something that, frankly, we very consciously decided not to do right now.

There is one corporate that became part of our round, and that was very deliberate, was NVIDIA. And it's because we collaborate really closely with them. I think that the nature of large technology companies choosing to invest in frontier AI companies is, frankly, the game theory optimal thing for them to do.

There is one corporate that became part of our round, and that was very deliberate, was NVIDIA. And it's because we collaborate really closely with them. I think that the nature of large technology companies choosing to invest in frontier AI companies is, frankly, the game theory optimal thing for them to do.

There is one corporate that became part of our round, and that was very deliberate, was NVIDIA. And it's because we collaborate really closely with them. I think that the nature of large technology companies choosing to invest in frontier AI companies is, frankly, the game theory optimal thing for them to do.

I think there's very few left to be acquired, to be very honest. Who is left?

I think there's very few left to be acquired, to be very honest. Who is left?

I think there's very few left to be acquired, to be very honest. Who is left?

Juan? Reka. Reka. R-E-K-A. Small but very capable team from what I can see from the outside.

Juan? Reka. Reka. R-E-K-A. Small but very capable team from what I can see from the outside.

Juan? Reka. Reka. R-E-K-A. Small but very capable team from what I can see from the outside.

I believe they're in Europe. Mistral. And I'm hard-pressed to think of more companies. I mean, XAI is very unlikely to be acquired, but they're a very capable player in this space. And I focus, of course, on work in large language models and work towards AGI. So I think there's very few companies that today are sufficiently far along and that are still left.

I believe they're in Europe. Mistral. And I'm hard-pressed to think of more companies. I mean, XAI is very unlikely to be acquired, but they're a very capable player in this space. And I focus, of course, on work in large language models and work towards AGI. So I think there's very few companies that today are sufficiently far along and that are still left.

I believe they're in Europe. Mistral. And I'm hard-pressed to think of more companies. I mean, XAI is very unlikely to be acquired, but they're a very capable player in this space. And I focus, of course, on work in large language models and work towards AGI. So I think there's very few companies that today are sufficiently far along and that are still left.