In real AI application scenarios, what is often the scarcest is not computing power, but stable, compliant, and sustainable data supply.

Many projects rely on temporary data sources in the early stages. Once scaled up, issues of quality and responsibility quickly surface.

@codexero_xyz's approach is to incorporate the data production process into protocol design, establishing a verifiable data collection process and a clear incentive structure to foster long-term collaboration among data contributors, users, and the system.

This accumulated data is not a one-time investment but a foundational resource that can continuously serve AI and on-chain applications.

@ClusterProtocol @wallchain @x__score @kyparus @easydotfunX