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Bittensor is a blockchain-powered network designed to connect machine learning models globally, transforming AI contributions into a tradable commodity. It empowers developers and data scientists to contribute compute resources or AI models to sub‑networks. These contributors are rewarded based on output quality, using a protocol that evaluates performance via consensus.
Its native token, TAO, serves multiple purposes, staking, governance, transaction fees, and rewards. Governance is decentralized: token holders can vote on upgrades and protocol changes. A capped supply model governs token emission, which gradually reduces over time, aligning incentives with growth and sustainability.
Participants include subnet miners (who perform inference or compute work) and validators (who assess output quality), all coordinated through a consensus mechanism that determines reward distribution. This structure creates a living economy for machine learning tasks, training, inference, validation — on a peer-to-peer basis.
The platform’s architecture supports modular subnets tailored for tasks like text, image generation, speech processing, and data storage. With its decentralized structure, Bittensor removes gatekeepers from AI development, offering open access to computational intelligence and fair incentive allocation. Its model promotes transparency, equitable participation, and global collaboration across AI innovation.
