Grant Harvey

Baseball is a very statistics-heavy game because lots of these things are measurable.

But now, things that were historically viewed as unmeasurable because they were unstructured data, you can actually analyze more effectively.

I mean, that's what language models and other models do.

They take unstructured data and do interesting potential stuff with it.

Not guaranteed.

It could be complete dross.

But they give you the ability to interrogate it more effectively.

Just think conceptually, a large language model

reading Tolstoy is the same as a video model watching the Charlotte Hornets.

It's able to take that unstructured information and bring some sense from it in a way that was never previously possible.

These two things, you asked your question Grant about the modules, like we're not coming in there and pitching modules.

We're not saying buy our tools, buy our widgets.

These are our tools in our tool belt.

But our job is to come in there and be like, do you need a screwdriver?

Do you need a hammer?

Do you need a monkey wrench?

What is your problem?

And often it'll be a combination.

And what's really interesting, I think this is really what differentiates ourselves, is the people we have as well are such an incredible factor in enabling those tools to be more effective.

For example, like, okay, everyone wants it to be step one, have problems.