Illia Polosukhin

So actually solving a trust problem between model builders and compute providers as well while we're doing it.

And this allows to actually distribute the compute because of this kind of control, the companies you guys know, all building massive clusters.

I mean, they're useful for training, but then for inference, they still use them as well because again, of this afraid.

And so here you can actually have cluster in Japan and in Norway, in maybe Nigeria,

in Brazil that actually serve the local markets, lower latency, you know, better energy efficiency, et cetera.

It's a smaller cluster.

It serves only this.

And then you don't have any trust issues between all those parties, right?

Data stays local for the governments as well, et cetera.

So it's kind of really like

plugging in all those pieces together in like a neat model.

But it is using the kind of underlying blockchain as really like this coordination, payments, facilitation system that is neutral, that everybody knows kind of the rules ahead of the game.

And that's where going back to like, hey, we're a centralized company that's going to be benevolent.

It's like, no, we actually have, we're actually an open network where everything is open source and everybody knows the rules of the game.

coming into it, you can also contribute and become a very active participant in this as well.

Yeah, I mean, you know, a 30-second explanation of blockchain, right?

It's that easy.

So maybe just to give a context.

So we started as an AI company.

We were building vibe coding.