Messari releases Mira research report: Daily processing of 3 billion tokens, accuracy rate improved to 96%.

CoinVoice recently learned that Messari released a research report on the decentralized AI infrastructure Mira, which optimizes the reliability of AI output through a distributed model consensus mechanism, and its verification layer can improve the accuracy of AI facts in scenarios such as finance and education from 70% to 96%. The protocol disassembles the AI output into an independent statement of fact, which is cross-verified by heterogeneous models provided by node operators such as Io.Net and Aethir, and requires more than 2/3 of the nodes to pass.

Mira currently processes over 3 billion text tokens daily, covering 4.5 million users across chatbots, educational platforms, and more. The protocol adopts an economic incentive model, where validating nodes receive rewards based on their contribution, while abnormal nodes will be penalized. Partners include decentralized GPU power suppliers such as Hyperbolic and Exabits, achieving power expansion through a node delegation mechanism.

According to team data, this protocol has reduced the AI hallucination rate by 90%, with a processing time of less than 30 seconds per verification. Users can trace the verification process through on-chain proof, with each output accompanied by an encrypted certificate recording the model voting details. Currently, integrated applications like Klok have utilized this technology to optimize educational content generation, and in the future, it plans to expand into high-risk fields such as medical diagnosis.