In the current era of rapid artificial intelligence development, AI inference services are still predominantly monopolized by large tech companies. These centralized services are often costly, lack transparency, and users cannot verify the authenticity of inference outputs. Additionally, users participate minimally in data and computing power benefits. The emergence of @dgrid_ai offers a new solution to these deep industry pain points. It has built a decentralized AI inference network that records inference processes and outputs in a verifiable and auditable manner through a Proof of Quality mechanism. This architecture allows developers to obtain trustworthy AI computation results without trusting a single platform, while node operators can earn rewards by contributing computing power, truly achieving fair distribution of computing resources and shared value. The unified intelligent RPC interface provided by $DGAI simplifies the complexity for developers to connect to hundreds of models, enabling Web3 developers to invoke AI inference services as easily as calling ordinary blockchain nodes. This is of great significance for promoting the deep integration of AI and blockchain. Through this decentralized AI inference infrastructure, the industry will gradually reduce dependence on centralized AI APIs, fundamentally advancing AI services toward openness, transparency, and fairness. @Galxe @GalxeQuest @easydotfunX