ZKP has launched a testnet to evaluate a hybrid consensus model that combines Proof of Intelligence and Proof of Space, utilizing a modular architecture built on Substrate. This innovative approach integrates custom pallets with BABE and GRANDPA consensus mechanisms, allowing for real-time testing in live conditions. The primary goal is to verify AI computations through zero-knowledge proofs, ensuring data and logic remain confidential. The architecture is designed to support iterative development without the need for hard forks, with core circuits already established as proof-of-concept. Additionally, ZKP is exploring data markets and tokenized datasets, highlighting its commitment to making verifiable AI a fundamental blockchain function.
ZKP Testnet Trials Hybrid Consensus for AI Verification
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