Core Concepts

• Decentralization: Bittensor eliminates centralized control, enabling a distributed network of nodes to participate in the training and utilization of AI models. This decentralization enhances the security, transparency, and accessibility of AI services.

• Token Economy: The Bittensor network operates using its native cryptocurrency, TAO. TAO tokens incentivize participants to contribute computational resources and AI models to the network. Validators and miners earn TAO rewards for their contributions based on the quality and usefulness of their work.

• Interoperability: Bittensor supports the integration of various AI models and datasets, facilitating interoperability across different machine learning frameworks. This capability allows for a diverse range of AI services to be offered on the network, enhancing its utility and robustness.

• Scalability: The protocol is designed to scale efficiently, accommodating a growing number of participants and AI models. Bittensor's architecture ensures that the network can handle increased demand without compromising performance or security.