OpenLedger is a blockchain infrastructure focused on AI — specially designed so contributors (data providers, model developers, etc.) can be fairly credited and rewarded.
Key ideas:
Community datasets (“Datanets”) owned or contributed to by many people.
Transparent model training and inference, with who contributed, how, and which data was used being traceable.
A system of governance and rewards so that contributions are properly compensated and protocol decisions can be made in a decentralized way.
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How it Works / Components
Here are the main components and workflows:
Component Role / Function
Datanets These are shared datasets: people can contribute data, and these Datanets are used to train AI models. They focus on specialized domains.
Proof of Attribution (PoA) A mechanism for tracing which data contributions, model-builder actions, etc., influenced a given AI output, so rewards can be distributed fairly.
ModelFactory A no-code / low-code interface/dashboard to build, fine-tune, deploy models using data from Datanets. Allows users to train models with Datanet data.
