Grant

We don't know.

So there is a very good reason to try and have as much localized compute power as possible.

And to my earlier point, the models are also getting smaller.

They're getting not only smaller, but better when they're smaller, which is a very exciting thing to see.

And I think that the more that we specialize into...

niche models, the more that we'll see smaller models get used.

I guess the counterpoint, though, is like, what if you do have a really niche use case that you think, you know, you don't need like incredible data, you know, gigawatt level data centers to do?

You can technically train your own model on like a workstation or a series of workstations.

Great question.

Yeah.

Right.

Because you only need it for that very specific case.

Quick tangent about that.

I wrote for a company once that was doing basically the equivalent of that, but for drones.

And so they have these automated drone swarms that basically can survey people.

different, uh, like let's say like in, in the transport industry, for example, like, you know, basically figuring out inventory levels, you know, checking grain, all that sort of stuff.

They run on this sort of autonomous loop and they basically are trying to figure out all of these things.

Like how much inventory do we have?

Like, is there any theft going on?

Really sick.