Bittensor is a decentralized machine-learning network. It lets users share computing power and AI models using blockchain technology. Unlike traditional AI, Bittensor removes central control, making AI development open and scalable.
Description
Here's how it works:
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Subnets and Participants: The network has subnets, which are smaller communities. Each subnet has miners who create AI models and validators who check their quality.
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TAO Token Rewards: The system rewards participants with TAO tokens. Miners and validators earn TAO based on the value they bring. The token also supports governance and staking.
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Decentralized Governance: TAO holders can vote on network changes. Governance keeps the system fair and ensures it evolves based on community input.
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Staking and AI Services: Users can stake TAO to secure the network and earn extra rewards. TAO also allows access to AI-powered services, like renting machine learning models and computing power.
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Dynamic TAO and Alpha Tokens: A new system lets users stake TAO in subnets to receive alpha tokens (α). Each subnet has its own alpha token, and its value changes based on supply and demand.
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Reward Distribution: Each subnet distributes rewards fairly among miners, validators, stakers, and subnet owners. Incentives keep the network active and growing.
In summary, Bittensor combines blockchain and AI to create a decentralized and fair machine learning system. The TAO token powers rewards, governance, and staking, making AI development more open and community-driven.