Many people discuss AI decentralization, often focusing on computing power or data layers, but @dgrid_ai presents us with another approach: decentralizing the evaluation authority. No matter how powerful the model is, if the evaluation system remains closed, the ultimate beneficiaries will still be a few individuals. $DGAI By designing an environment that is participatory and incentivized, user judgments become an integral part of the system. Voting is no longer just about expressing preferences but directly influences the model's reputation and reward distribution. This structural change makes participants realize that their actions are valuable and forces model developers to face genuine feedback. It results not in emotional consensus but in the combined outcome of many independent judgments. This underlying logic has very clear long-term significance for the development of the entire AI ecosystem. @Galxe @GalxeQuest @easydotfunX