Replying to Avatar PABLOF7z

What would be some examples that come to mind for how we can use DVMs with #[5]​?

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One idea that comes to mind would be a user describing a song they want to create, or a style, genre, etc, and then a DVM could return sounds related to that criteria.

Cool idea!

Where would the agent fetch or generate the sounds from?

Maybe that could be definable to when generating the request? Idk what’s possible so nostr:npub1l2vyh47mk2p0qlsku7hg0vn29faehy9hy34ygaclpn66ukqp3afqutajft could probably help answer that. For instance, perhaps it could just be sourcing the sounds from user posts on Stemstr by default. But there may be other sources of sounds online that a user would want to query, that could be optionally included.

There would have to be a way for it to identify the sounds according to the criteria. Not sure if that would be from user tags/hashtags, or something else. Could AI be intelligent enough to analyze a sound and categorize it itself? πŸ˜…πŸ€·β€β™‚οΈ

I haven't delved into what AIs can do wrt music analysis, but I would not be surprised if it's already really good at it

nostr:npub1nxa4tywfz9nqp7z9zp7nr7d4nchhclsf58lcqt5y782rmf2hefjquaa6q8 might know

but yeah; and the cool thing is that you don't have to have a single DVM dealing with these type of discovery, you could have ones that only discover sounds based on hashtags, but you could have much more sophisticated ones

that's the beauty of it, you can go really really long-tail with this because nostr solves discoverability

Not my speciality either, but as people are generating new Michael Jackson songs using AI, I'm pretty sure someone can build it.