where you would be upset to discover that someone had produced at scale many versions of the same thing that a human had also produced and you couldn't tell the difference.

Hmm.

I don't know.

I heard this interesting podcast recently where this person, shoot, I'm going to forget which podcast.

It was either Radiolab or This American Life.

It was an old episode where they were talking about this woman who found out that her hometown song was actually a song that had been sold to hundreds of hometowns across America with slightly different versions, right? And she was devastated, right? It was like, no, that is my hometown song, right? Yeah.

And so I think there is something that we maybe value as humans around like rarity that it's like this is difficult or hard to do and or it's so personalized that it feels like mine and that's what makes it special and more valuable.

But this sounds to me a little different, which is we do need the me, but also we'll just help that person make what they want to make.

Right.

And, and next week there's gonna be better emotionality tools and, you know, then there's gonna be, uh, you know, we'll be able to dial in better our intro and outro music, and then we'll be able to, you know, do better checks for luffing and, um, gaps in content.

And we've now radically improved our factual, um, QC cross-check process to make sure that our content is as accurate as possible.

I mean, so every, just every, really, like, every week, just all of these iterations that we can make to improving it, improving it, improving it.

And perhaps a funny way to think about it, but t-t-today is the worst that it will ever be.

Yeah.

So we built, we built, um, I think I was saying our, our decisioning engine that helps us ideate on what cool things are happening out there, where, what trends, what are, um, what are greenfield opportunity spaces in content, what's, what we think might be niche, um, groups or micro communities that might be forming around different topics.

And then we get basically huge lists of all different things that we can make content on, um, and how, you know, we think that that content might perform, and then our creators, you know, use that as a springboard.