Brian

What does that mean if other parts of the world are also having that type of data to rely on?

And does that cause issues there?

So it's an interesting conversation because as we get here into the future even more and AI becomes more interwoven into all of our lives and we stop thinking about it as, oh, I used AI for this.

And it's more just like, oh, I used electricity.

Well, we don't we don't say we use electricity.

We don't call it out and we flip a light switch.

That's just what happens.

Right.

And I think as we get this is my opinion, obviously, but as we get into the future,

AI will, in parts of AI, will be woven into all parts of life.

And when that happens, who gets to control what type of data it was trained on and what the biases were?

You know, do we want raw intelligence?

The answer is, I don't really know.

That's why I think this is a really interesting conundrum is to just listen to both sides.

And I think if it's, you know, if it's a, if it does what it does for me, then you'll find yourself agreeing with, you know, the first side of the year to kind of agree with the second side to work.

Maybe you'll disagree with both.

That's, that's really what I love about these conversations is we're not trying to solve the world here.

We're just trying to have really interesting conversations and make for a nice Saturday afternoon.

you know, podcast episode.

So with that, I'm going to get into the intro and the conundrum, and then we will let our two AI co-hosts take it away.