Key Components

• Validators: Validators play a crucial role in the Bittensor network by verifying the accuracy and reliability of AI models. They assess the contributions of miners, ensuring that only high-quality models are rewarded. Validators are selected based on their stake in TAO and their reputation within the network.

• Miners: Miners contribute computational resources to train and deploy AI models. They provide the necessary infrastructure to run machine learning tasks, and their contributions are evaluated by validators. Successful miners are rewarded with TAO tokens based on the quality of their work.

• Subnets: Subnets are subdivisions of the larger network, grouping specific validators and miners working together on particular tasks. This segmentation helps in managing network traffic and ensuring efficient data processing. Each subnet has a specific use case and a specific aim. All the validators and the miners work to achieve the goal of that subnet.