One overlooked advantage of Cluster Protocol is its approach to data access and source tracking. Traditional AI infrastructure often requires copying or exposing raw data to train models, which poses security risks. In contrast, Cluster connects to big data markets, allowing data to remain private while achieving full traceability and dynamic update capabilities. More importantly, it offers a fine-grained permission control mechanism to ensure that different participants' access rights to data precisely match their needs. This design philosophy fundamentally changes the logic of data governance in the AI era.