The discussion around AI often focuses on massive models, but the reality of the sector is shifting towards specialization. The @OpenLedger ecosystem offers an interesting solution: creating a blockchain infrastructure specifically designed to track and monetize specialized models (SLMs) through their collaborative data networks.
Backed by firms like Polychain, the project aims for data creators and developers to register on-chain the origin of their information using Proof of Attribution. In this environment, the token $OPEN serves to settle transactions and execute autonomous agents, aiming to go beyond mere market speculation.
Of course, the path isn't free from technical challenges. Integrating data verification and cryptography into AI flows creates friction that developers and users must learn to manage. With 21% of the tokens in circulation, the success of the protocol will depend on how many real creators decide to migrate their models to this infrastructure. Do you think the specialization of AI on the blockchain is the right path, or will the technical friction be too high a barrier? I'm listening below.
#openledger $OPEN @OpenLedger
Backed by firms like Polychain, the project aims for data creators and developers to register on-chain the origin of their information using Proof of Attribution. In this environment, the token $OPEN serves to settle transactions and execute autonomous agents, aiming to go beyond mere market speculation.
Of course, the path isn't free from technical challenges. Integrating data verification and cryptography into AI flows creates friction that developers and users must learn to manage. With 21% of the tokens in circulation, the success of the protocol will depend on how many real creators decide to migrate their models to this infrastructure. Do you think the specialization of AI on the blockchain is the right path, or will the technical friction be too high a barrier? I'm listening below.
#openledger $OPEN @OpenLedger