Travis Kalanick

So guys, I've got 500 properties with lots of energy, lots of mechanical cooling systems,

And lots of LNG access, or sorry, not LNG, natural gas, sorry, already piped in.

So on all the stuff I'm doing on robotics, AI, physical AI, we're literally looking at putting some of our compute into our kitchens.

I think the security thing is the main issue around...

non data center type real estate.

To be honest, it's the big one.

Look, you got to do liquid cooling, you got to do mechanical systems for air cooling, you have energy, like there's a lot of things you do.

But assuming you even had all that the architecture of a data center is set up like they have man traps, right?

Where you go into a room, the door closes behind you that you got into with your fingerprint, then you go into the next part of it against your fingerprint, only when that door closes, like

I'm just trying to help trap some men.

I'll try to interpret where Chamath's going a little bit.

It's like a Megapod that's sitting at a chart, like a public charging situation.

Because of the physical access of it, like there's probably some stuff you've got to do if you're going to resell it.

But if you're going to use it for yourself, you can use it for yourself.

But the one thing I'll just throw out there, guys, the distributed training stuff,

If these things are far away from each other, meaning not right next to each other, they're so less efficient.

The efficiency drops dramatically.

You want these things to be right next to each other physically.

You get like...

multiple orders of bang at least an order of magnitude type efficiency maybe plus plus plus i'd like it's a big deal yeah so like you could have two we have two facilities from one gpu to the other is super important and if it's on a peer-to-peer network it's going to have lag honestly guys even if it's on your own fiber connected like two kilometers away you're screwed it's not a thing