Ely Greenfield

So all those examples you gave, I mean, I think the latest ways of AI give us more opportunities to improve that and again, help people save more time doing that.

But yes, in some ways, the problem statements are not new.

There's a really interesting analogy that I keep discussing with people.

If you look at what's going on in the vibe coding space, or I'll say in the AI-assisted coding space,

There's kind of two ends of that spectrum.

There's the pure vibe coding side, which is, hey, you don't have to look at the code.

You don't have to think about the code.

You're not a coder.

You don't care how it's implemented.

You just want to be able to talk with the assistant and you get results.

You get an app out of it and it's great.

Now, if you don't like what you get, you're kind of out of luck.

You can kind of coax the AI the direction you want, but you're not going to get in there.

and mess with the code yourself, versus the other side of it, which is you're in an IDE, you're writing code, you've got the assistant there, and it's not changing the tools and the structure of what you're working with.

You're working with code and projects, but it is there to help you.

But it is really a collaborator that you can hand tasks off to it, you can take them back from it, you can dive in and use all of your expertise, and it becomes a partnership or an assistant you hand off to.

So I think when you look at the media space, as we look more and more at a Gentic, we're probably going to see those same two poles.

And it's obviously a continuum, but there are people for whom they don't have the production skills.

They don't know how to use our tools or other people's tools.

And they may have creativity.