Glen Tullman

But number one, you got to get great talent.

So that's where a lot of that is going.

And then, you know, you're also relying upon large language models.

You need more than one.

You can't just use one if you want the kind of accuracy we need.

You need to make sure you're building in safety.

So as an example, what most people, including some of our competitors, haven't even thought about is issues like the famous example of someone asked ChatGPT, someone said, I'm thinking of committing suicide, and it said, here are the five ways to do it.

If you said that to our app,

to our on our platform it would instantly connect you to a person and so you've got ambient listening you know you have to make sure it doesn't hallucinate you have to make sure you're in a walled garden so your information is not only not shared but that it's not used for testing and on and on and then

you have to make sure that you're protecting privacy.

So very, very important in these models.

So again, across the board, those are the kinds of commitments that you have to make to be in this space.

And generation one was,

How do you get up and start the basics?

And most recently, if you look at this, what we're doing is we're really going after problems.

And the

The biggest challenge over all of the companies I've been fortunate to lead is that you can fall in love with your technology.

And what you want to do is fall in love with solving problems.

So when you think about AI, there's a lot of AI that's out there that's being used, but

Frankly, you know, we've all had this experience.