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

ChainCatcher news, Messari released a research report on the decentralized AI infrastructure Mira. Mira optimizes the reliability of AI outputs through a distributed model consensus mechanism, with its verification layer improving the accuracy of AI facts in scenarios such as finance and education from 70% to 96%. The protocol breaks down AI outputs into independent factual statements, which are cross-verified by heterogeneous models provided by node operators such as Io.Net and Aethir, requiring consensus from over 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 employs an economic incentive model, where verification nodes receive rewards based on their contributions, while anomalous nodes face penalties. Partners include decentralized GPU computing providers like Hyperbolic and Exabits, achieving computing power expansion through a node delegation mechanism.

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