Corey Knowles

Oh, that's a good question.

And the amount of data that these sports nerds will have to eat up for the next century will be absolutely amazing.

I always think of the...

sabermetrics community in baseball where they're like, you know, here's how you do against lefties when the sun's out and the wind's coming in from the east, you know, on a Thursday.

No, no.

It's really hard to prove the ROI on that.

Everything about it, it's difficult to sell.

Let's shift gears a bit here.

I want to kind of talk about the elephant in the room when it comes to data in the AI industry.

Roughly five years ago, data labeling was this unglamorous corner of the internet.

And now you cannot have a discussion around AI without someone wanting to discuss the need for data hygiene, for data labeling, for better data practices.

And

People are suddenly realizing what a just god-awful mess their data is across their company, and it's become quite a roadblock.

Or that people are noticing finally that it is and it always is.

With their own literature, with their own...

So how do you feel like the skill level for this type of work has evolved over the years?

And what do you think that means for the economics of AI training?

Yeah, and it couldn't come in the form of just KPIs that are 10x what they were.

Or it could, I mean, we might end up with a three-day work week.

Come on.