Alexandr Wang

And then we have a community of people, a network of people who help produce the data that go into the system. And they get paid to do that.

Creating good data, exactly. And it's huge. So we do this through our platform called Outlier. And Outlier, last year, people, contributors, we call them, contributors on Outlier earned about $500 million total across everybody. In the U.S., that's across... 9,000 different towns. And- So it created a lot of jobs.

Creating good data, exactly. And it's huge. So we do this through our platform called Outlier. And Outlier, last year, people, contributors, we call them, contributors on Outlier earned about $500 million total across everybody. In the U.S., that's across... 9,000 different towns. And- So it created a lot of jobs.

Creating good data, exactly. And it's huge. So we do this through our platform called Outlier. And Outlier, last year, people, contributors, we call them, contributors on Outlier earned about $500 million total across everybody. In the U.S., that's across... 9,000 different towns. And- So it created a lot of jobs.

Yep.

Yep.

Yep.

So we, yeah, I mean, yeah, Scale AI is an AI system. Okay.

So we, yeah, I mean, yeah, Scale AI is an AI system. Okay.

So we, yeah, I mean, yeah, Scale AI is an AI system. Okay.

Yeah, we basically – To pull in data. Yeah, we build this platform that anybody – a lot of people, frankly, all around the world, but Americans too, can log on and help build data that goes into the algorithms and get paid to do so. Wow. Yeah.

Yeah, we basically – To pull in data. Yeah, we build this platform that anybody – a lot of people, frankly, all around the world, but Americans too, can log on and help build data that goes into the algorithms and get paid to do so. Wow. Yeah.

Yeah, we basically – To pull in data. Yeah, we build this platform that anybody – a lot of people, frankly, all around the world, but Americans too, can log on and help build data that goes into the algorithms and get paid to do so. Wow. Yeah.

Yeah. Let's say you're a nurse, like you're a nurse with like tons of tons of experience. So, you know, a lot about how to take care of people and take care of people who are sick or, you know, have issues and whatnot. And so you could log on to the system and and this and our platform.

Yeah. Let's say you're a nurse, like you're a nurse with like tons of tons of experience. So, you know, a lot about how to take care of people and take care of people who are sick or, you know, have issues and whatnot. And so you could log on to the system and and this and our platform.

Yeah. Let's say you're a nurse, like you're a nurse with like tons of tons of experience. So, you know, a lot about how to take care of people and take care of people who are sick or, you know, have issues and whatnot. And so you could log on to the system and and this and our platform.

And you could see that the algorithm is – let's say you ask the algorithm like, hey, I have a pain in my stomach. What should I do? And you notice that the algorithm says the wrong thing. Like the algorithm says, oh, just hang out and it will go away. And you know as a nurse like – That's wrong.

And you could see that the algorithm is – let's say you ask the algorithm like, hey, I have a pain in my stomach. What should I do? And you notice that the algorithm says the wrong thing. Like the algorithm says, oh, just hang out and it will go away. And you know as a nurse like – That's wrong.

And you could see that the algorithm is – let's say you ask the algorithm like, hey, I have a pain in my stomach. What should I do? And you notice that the algorithm says the wrong thing. Like the algorithm says, oh, just hang out and it will go away. And you know as a nurse like – That's wrong.

You have to go to the emergency room because you might have appendicitis or you might have something really bad. And so you would, as a nurse, you would go in and you would basically correct all these mistakes that the AI system has. And then that would then feed it back into the algorithm so that it's smarter the next time.