Bittensor

Bittensor is a decentralized machine-intelligence network organized into specialized subnets where miners provide computational or model outputs and validators evaluate their usefulness. Its incentive system distributes TAO according to subnet and participant performance, with Yuma Consensus used to convert validator assessments into rewards. Coverage should examine subnet design, validator and miner operation, network upgrades, incentive changes, security, governance, developer tooling, and the deployment of machine-learning services. TAO as a traded asset and individual applications built on Bittensor need separate tags when the network's coordination system is not the central issue.