Grant Harvey

And that's it for today.

Farewell for now, humans.

What's up?

That's hilarious.

Well, Corey mentioned the leaky bucket at the top.

And this was from a podcast that you did recently that we put you on our radar and we got really excited to talk to you about this.

So can you explain the leaky bucket for our listeners and what you meant by that?

And do you see the bucket getting less leaky over time or more leaky?

We had that problem at our parent company where we went and we looked up a search result and it was conflating two different websites.

So it seemed like it was taking reviews about a completely different website that was like a SaaS tool and they were conflating it with our website, which was like a media publication.

And like it was taking the bad reviews from the SAS tool and it was applying it to our media.

And that was just right there in the AI overview.

So that's like a huge problem.

Right.

Like because now people could then read that review and then they could think that they're taught it's talking about, you know, a different company just because I had similar names.

They YOLO it till they get more money.

Pretty much.

I mean, do you think this gets better with reasoning models?

Like, better reasoning models?

Or, like, will reasoning models be able to, like, parse that problem?