Can you tell me a bit about that as well?

Well, that's us.

So, so, okay.

So just a, a quick, you know, kind of introduction of how we got to where we are today.

I'm sitting around, I'm listening to the Rogan podcast and some guest on there says, Hey, what do you think about Texit? T E X I T.

And he's like, what's Texas? You know, like Brexit, like Britain left the EU.

What do you think about Texas leaving America? And Rogan was like, that's a terrible idea.

So let's say when Dexacoin becomes big, what happens to Bitcoin?

What are some of the unanswered questions that you might have or you and Andy might have still?

I'll start with hyperscalers and then kind of broaden it out to the AI labs and AI more broadly.

On the hyperscalers, one thing that we keep circling back to is just this question of industry structure and how it's changing.

You know, historically the kind of hyperscale or cloud service provider market was, was a pretty cozy oligopoly.

Three big players, Microsoft, Amazon, and Google.

We've seen a number of new entrants into this space.

Obviously you have, you know, a number of Neo clouds and Oracle reaching real critical mass.

What, a lot of use cases here in your estimation, what's the most important use case or cases that are driving AI adoption now and how do you think that evolves?