Corey Knowles

Fair enough.

Fair enough.

That's okay.

That's okay.

That's, you know, we've talked before about, you know, the idea of that if you put the tool in the hands of a person who knows the skill, it's more like a superpower than it is like making something worse.

Like there's often this idea that what it's going to do is going to be worse.

And it's like not if you put it in the hands of somebody who knows the right way to ask the right questions, who knows...

You know, specifically how to use it in this case.

I think what you guys have done is really smart and will have a big benefit for a lot of years to come.

Or this is better than what I expected to write myself in some way.

Legal research, you know, and we touched on this a minute ago, traditionally takes hours.

And there's this idea that this can bring that down to minutes.

Do you feel like the quality that you're getting out of what you see is up to a standard that you're, I mean, I assume it is or you wouldn't be releasing it.

But have you been impressed with the quality of one it's been able to find so far?

Have there been any surprises in that way?

That's really interesting.

And to me, you kind of touch on the explainability of it all, which I think is going to be a really big discussion in the AI space and every space that touches it moving forward.

When we're dealing with subjects like law, like healthcare, human resources, banking, finance, for example.

there is this need to be able to to both go back and look to see how it arrived at a conclusion as well as to intervene at a step or or at least go back and and have the ability to re-trigger it from this step with a different decision maybe that since it sends it back forward if if it's if it's not in real time uh but it sounds like you know that was that was a goal you all were baking in early

Yeah, understanding the, you know, the whole need for a human in the loop with AI and the reason that is so vital.