What is TAO (Bittensor)?
TAO is the native token of Bittensor, an open-source protocol that powers a decentralized, blockchain-based machine learning network. Instead of training models behind closed doors, Bittensor enables machine learning models to train collaboratively across a globally distributed network, and get rewarded in TAO for the informational value they contribute.
The Bittensor network is designed as a trustless, transparent AI marketplace, where producers and consumers of intelligence can interact directly. TAO also grants external users access to the network, allowing them to extract information or tune the behavior of the network to suit their needs.
The Purpose of TAO (Bittensor)
Bittensor reimagines how AI is built and distributed. By combining blockchain with machine learning, it creates a decentralized infrastructure where contributors earn rewards proportional to the value they bring.
TAO plays a central role in this ecosystem:
- It is used to incentivize model training and knowledge sharing.
- It allows users to query the network or access specialized intelligence services.
- It facilitates decentralized governance and protocol upgrades.
The vision? To build a pure, open market for artificial intelligence, free from centralized control and open to innovation from anyone, anywhere.
How to Trade TAO on Bitazza
Trading TAO on Bitazza is simple. Create your account, deposit funds, and search for the TAO/USDT pair. You can now add TAO to your portfolio and participate in the future of decentralized, permissionless AI.
Why Choose TAO?
TAO stands at the intersection of Web3 and artificial intelligence. In a world where data and models are often locked behind walled gardens, Bittensor offers a radically open alternative, one that rewards merit, promotes transparency, and scales globally.
Whether you’re a developer, researcher, or investor, TAO gives you access to an evolving intelligence network driven by collaboration, performance, and fair rewards.
TAO Basics
- Blockchain: Substrate-based Bittensor
- Consensus: Yuma consensus – performance-driven ranking
- Total Supply: 21 million TAO (fixed, with halving)
- Use Cases: Model training/inference, governance, network access
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