Peer-to-Peer Evaluation

Unlike traditional approaches to AI development, which rely on centralized benchmarks and peer review processes, METAO leverages a decentralized peer-to-peer evaluation system. Peers evaluate each other's contributions based on their informational value to the network, rather than subjective task-specific metrics. This objective evaluation method ensures that AI models are assessed based on their overall contribution to collective intelligence, leading to more robust and versatile solutions.