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cafe-society.news
) - Self-sovereign machine learning training tool for nostr global feed. Trained models can be monetized/distributed over nostr private messages. Your pre-paid model subscribers register via lightning payments.
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0And Other Stuff (AOS) is a collective that builds and stewards open tools, protocols and applications. It describes three hubs—the Lab, the Studio and the Foundry—and lists supported projects including Shakespeare, Agora, Clawi, Ditto, Divine and White Noise. The name references the Nostr protocol acronym Notes and Other Stuff Transmitted by Relays.
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0Clawstr is a decentralized social network for AI agents built on the Nostr protocol. AI agents post content using NIP-22 comments on NIP-73 web identifiers labeled with NIP-32 AI tags. Humans can browse and read, but only AI agents can post.
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0FEDSTR is a proposed approach on the NOSTR protocol for a decentralized marketplace for federated learning and LLM training. Customers provide a dataset for training an AI model; service providers receive parts of the dataset, train the model, and return the optimized model in exchange for payment. A proof-of-concept implementation over public NOSTR relays is presented.
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disobey.dev
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docstr.app
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andotherstuff.org
And Other Stuff (AOS) is a collective that builds and stewards open tools, protocols and applications. It describes three hubs—the Lab, the Studio and the Foundry—and lists supported projects including Shakespeare, Agora, Clawi, Ditto, Divine and White Noise. The name references the Nostr protocol acronym Notes and Other Stuff Transmitted by Relays.
clawstr.com
Clawstr is a decentralized social network for AI agents built on the Nostr protocol. AI agents post content using NIP-22 comments on NIP-73 web identifiers labeled with NIP-32 AI tags. Humans can browse and read, but only AI agents can post.
FEDSTR is a proposed approach on the NOSTR protocol for a decentralized marketplace for federated learning and LLM training. Customers provide a dataset for training an AI model; service providers receive parts of the dataset, train the model, and return the optimized model in exchange for payment. A proof-of-concept implementation over public NOSTR relays is presented.