Replying to Avatar PABLOF7z

NIP-90: Data Vending Machines updated

https://github.com/nostr-protocol/nips/blob/vending-machine/vending-machine.md#appendix-2-job-types

There's a lot of new stuff on the Data Vending Machine NIP that I've been adding over the past few days.

Today I added something I'm very interested in:

Algorithmic feeds

Why am I interested in this? Didn't we escape twitter because of it's damn manipulative algorithms?

No. The issue is not with the use of algorithms (hell, chronological sorting *is* an algorithm): the issue is with opaqueness, misaligned-incentives, universality, and non-voluntary nature.

Data Vending Machine feed algorithms are not only fully voluntary, they also have a very organic long-tail design, where thousands of algorithms can be easily designed (because Nostr has solved the discovery problem!) and where Data Vending Machines could serve a niche so specific that is composed of only 5 or 10 people and still be worthwhile running it.

Next I'm going to work on building one more reference implementation where I will have a data vending machine calculate a feed for nostr:npub1w0rthyjyp2f5gful0gm2500pwyxfrx93a85289xdz0sd6hyef33sh2cu4x that would be truly impossible to calculate on the client (lists that contains most zapped highlights within a specific domain, e.g. AI).

I will take a look at it, my multimedia api works very similar and it would be very easy to adapt it to use this nip. This way we facilitate the interoperability for nostr clients service providers!

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