Travis Kalanick

And so now it's like a huge amount of capex. My store's down for two to three months. And the economics start to not work. And by the way, I still have to have humans in that brick and mortar. And so, you know, look, we have a different take. We're in that delivery only model. So these are it's true infrastructure for making food behind the scenes for delivery. So you don't have these issues.

And so now it's like a huge amount of capex. My store's down for two to three months. And the economics start to not work. And by the way, I still have to have humans in that brick and mortar. And so, you know, look, we have a different take. We're in that delivery only model. So these are it's true infrastructure for making food behind the scenes for delivery. So you don't have these issues.

And of course, our setup, our infrastructure, these kitchens are designed for these kinds of machines to be in them and vice versa. We've designed the machine to be in them.

And of course, our setup, our infrastructure, these kitchens are designed for these kinds of machines to be in them and vice versa. We've designed the machine to be in them.

I just heard this voice from above. It was the czar of AI and crypto. I was like, wow, let's all sit back and listen.

I just heard this voice from above. It was the czar of AI and crypto. I was like, wow, let's all sit back and listen.

But real quick, Sax, you've got you've got an open source model and the white paper they put out there is very specific about what they did to make it and sort of the results they got out of it. I don't think they give the training data, but you could start to stress test what they've already put out there and see if you can do it cheap, essentially.

But real quick, Sax, you've got you've got an open source model and the white paper they put out there is very specific about what they did to make it and sort of the results they got out of it. I don't think they give the training data, but you could start to stress test what they've already put out there and see if you can do it cheap, essentially.

When you say they, who are you referring to, Sax? Microsoft.

When you say they, who are you referring to, Sax? Microsoft.

You guys have a buddy who has R1 on his laptop, you know? Yeah, exactly.

You guys have a buddy who has R1 on his laptop, you know? Yeah, exactly.

But guys, what it would take to distill a one, like brute force, it wouldn't be like, oh, geez, I can't believe it was distilled. It would be like such a massive number of calls against an API or against something. Something. That it wouldn't be unnoticed.

But guys, what it would take to distill a one, like brute force, it wouldn't be like, oh, geez, I can't believe it was distilled. It would be like such a massive number of calls against an API or against something. Something. That it wouldn't be unnoticed.

No, no, but they're always doing that. That's constant. You're always doing that. That's like the old school. Go ahead, Zach.

No, no, but they're always doing that. That's constant. You're always doing that. That's like the old school. Go ahead, Zach.

Because you need to test your model against theirs anyways.

Because you need to test your model against theirs anyways.

Here's the other side, and totally agree, Chamath, but here's the other side. You go through the white paper, you see what it is they did, what they innovated on, the science behind it, the thoroughness. And you're like, these guys are badass. They're badass. It does not feel or sound like somebody who took something just when you get through it.

Here's the other side, and totally agree, Chamath, but here's the other side. You go through the white paper, you see what it is they did, what they innovated on, the science behind it, the thoroughness. And you're like, these guys are badass. They're badass. It does not feel or sound like somebody who took something just when you get through it.