AI systems often produce errors or biased outputs, limiting their use in critical applications. A decentralized verification protocol addresses this by breaking responses into smaller claims, which are validated by independent models through blockchain consensus. Incentive-driven checks ensure accuracy, creating a measurable layer of trust that can make AI outputs more reliable for enterprises and autonomous systems.
MIRA
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