Currently, AI model training faces data bottlenecks, and the cost of acquiring high-quality data is rising. One approach worth paying attention to is: leveraging community efforts for distributed data collection and then rewarding contributors with the proceeds. This model changes the traditional centralized data monopoly pattern, allowing community members to participate in Web3 ecosystem development while receiving tangible rewards. Such innovative attempts are redefining data ownership and value distribution methods.