Q Oh yeah, yeah. 15 trillion tokens used to train, uh, you know, uh, the model. I know at Grok you guys are deploying Lama three. I think you deployed it the same day that it came out. Um, so how important is this? How important a development is it in the world of models?
A Well, really, you know, Zuck came out and threw down for the entire world of folks that are building models. And it's, it's really disruptive because, um, when you look at the rankings, you have a model that's much smaller, so much easier to run on all different types of hardware, uh, and much faster. And so those two things are like catnip for developers. And for us, we saw within the first 48 hours, it become the most power, most popular model that we run on Grok. And so really replacing what? Replacing Mixtrel eight by seven for us, which was, you know, generally considered the best open source model at that point. And what the capabilities have happened beyond us sort of running it, the developers that use it, the use cases we've seen it in are incredible. And people are doing a direct replacement with, with open AI across the board. They come to us. So they come to, you know, all the different providers and they replace out, uh, open AI. And they don't really see any performance impact or any reasoning impact or, which is.
AI assessment note: “it's really disruptive because, um, when you look at the rankings”