NIP-90: Data Vending Machines updated
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 Highlighter (npub1w0r…cu4x) that would be truly impossible to calculate on the client (lists that contains most zapped highlights within a specific domain, e.g. AI).
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 Highlighter (npub1w0r…cu4x) that would be truly impossible to calculate on the client (lists that contains most zapped highlights within a specific domain, e.g. AI).