As decentralized AI gradually moves toward commercialization, data traceability and responsibility boundaries will become unavoidable practical issues.
@codexero_xyz emphasizes transparency regarding data sources, processing pathways, and usage conditions in its architecture, enabling developers to clearly assess risks and adapt to scenarios when accessing data.
This design reduces trust costs in cross-entity collaboration and also provides a more solid foundation for the deep integration of AI and blockchain.
Codexero follows a more infrastructure-oriented approach, focusing on long-term usability rather than short-term hype.
This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.
As decentralized AI gradually moves toward commercialization, data traceability and responsibility boundaries will become unavoidable practical issues.
@codexero_xyz emphasizes transparency regarding data sources, processing pathways, and usage conditions in its architecture, enabling developers to clearly assess risks and adapt to scenarios when accessing data.
This design reduces trust costs in cross-entity collaboration and also provides a more solid foundation for the deep integration of AI and blockchain.
Codexero follows a more infrastructure-oriented approach, focusing on long-term usability rather than short-term hype.
@ClusterProtocol @wallchain @x__score @kyparus @easydotfunX