And so what does that mean in the generative area? No one really knows yet. As usual, there are a bunch of iterative improvements. So we use these large language models to improve our recommendations. You can have bigger vectors that can have more cultural knowledge. You can use it for safety classification on podcasts that no one has listened to yet and so forth. So there's lots of obvious improvements and we're doing those. But so far, we've only really done one real generative product in the hard definition, which is a product that couldn't have existed without generative AI, and that is the AI DJ. So that's a concept that we've been thinking about for a very long time. And the AI DJ is you press a button, a digitized person, there's a real person named X, digitized X. So he's now an AI, comes on and talks to you about music that you like and suggests music, and you can listen to it. And if you don't like it, you can just call him back and he says, "Okay, now, let's listen to something maybe from a few summers ago," or "Here's some new stuff that were trending yesterday in The Last of Us episode or something like that."
But so far, we've only really done one real generative product in the hard definition, which is a product that couldn't have existed without generative AI, and that is the AI DJ.