In the history of technological evolution, what truly changes the game are often not more powerful models, but transparent, fair, and accessible infrastructure. @dgrid_ai provides exactly this foundational layer for verifiable AI reasoning. Existing reasoning methods are mostly controlled by a few centralized platforms, which not only set pricing and control costs but also hold the execution data and optimization pathways. However, DGrid breaks this control through a decentralized node network and the PoQ verifiable architecture, placing the reasoning process and results on the blockchain to ensure auditability and transparency. Anyone can submit requests, run models, and verify results on this network without relying on centralized hosting. Such a change goes far beyond the technical level; it is leading a new economic model that fairly distributes AI reasoning value. Node operators receive token rewards, users gain truly verifiable service experiences through payments, and community governance is jointly decided by participants holding $DGAI on the future upgrades of the network. This design redistributes value from the platform abstraction layer back to foundational contributors and users, enabling a decentralized AI ecosystem to truly move toward openness, fairness, and efficiency. In the future, more Web3 applications may adopt this model, transforming complex services into community-built, co-governed, and shared infrastructure. @Galxe @GalxeQuest @easydotfunX