Buks.base.eth (buks99)

The @ritualnet VM executes AI models and wraps their outputs in zero-knowledge proofs. This means results can be verified without revealing private data. Computation stays secure while still being provable. Sensitive inputs don’t need to be exposed to the public. It balances transparency with privacy at the protocol level. gritual

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Right now, using AI feels like ordering food from a kitchen you can’t see. You hope it’s clean. You hope the chef knows what they’re doing. Ritual is trying to build a glass kitchen. You see what’s happening. You know where it came from. And you don’t have to cross your fingers before taking a bite. gritual

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I’m ritualized Say it back 🫵

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On Ritual, AI models can be registered, tracked, and monetized on-chain. This creates verifiable ownership and provenance for machine learning models. Developers can prove where a model came from and how it was used. Attribution becomes part of the protocol itself and It turns models into programmable digital assets. gritual

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