Explore Concepts
Discover concepts to enhance your knowledge of Bittensor. Each category offers a structured learning path to help you master different aspects of the Bittensor ecosystem.
Tokenomics
Economic principles and mechanisms for both TAO and ALPHA tokens. Discover how the token economics creates a sustainable incentive structure.
Concept List
The native cryptocurrency of Bittensor.
Emissions control how new TAO and subnet tokens (ALPHA) enter circulation through automated distribution.
The process where Bittensor's daily token emission rate cuts in half, similar to Bitcoin's halving mechanism.
The process of returning TAO tokens back into Bittensor's emission system for future distribution.
A process that allows users to support validators and earn rewards by locking up their TAO tokens.
Network Participants
Fundamental blockchain concepts that power Bittensor. Learn the core technologies and principles that make decentralized networks possible.
Concept List
Individuals or teams who create and manage specialized AI task networks within Bittensor.
AI models that compete to solve specific tasks within Bittensor's subnets.
Network participants who check miners' work and distribute rewards in Bittensor's subnets.
A validator who accepts delegated TAO from nominators to increase their network stake.
A TAO or ALPHA (subnet tokens) holder who delegates their stake to validators to earn rewards without running validator nodes.
Dynamic TAO Ecosystem
Mechanisms introduced with the economic decentralization of subnets. Learn how the distributed consensus and incentive systems work.
Concept List
A mechanism that manages the exchange between TAO and subnet tokens. Each subnet has its own pool that determines token prices and handles staking operations.
Emissions control how new TAO and subnet tokens (ALPHA) enter circulation through automated distribution.
Root Proportion determines how validator rewards are distributed between TAO staked to root and ALPHA staked to a subnet.
Scoring/Rewards
How participants are evaluated and rewarded by distribution of incentives. Understand the mechanisms that ensure fair and effective value attribution.
Concept List
Scores that validators assign to miners to determine reward distribution in a Bittensor's subnet.
A mechanism that shapes how miners and validators interact in subnets through rewards and scoring rules.
Bittensor's method for fairly distributing rewards by measuring miner performance through validator scores.
A method where validators copy scores from others instead of checking miners' work themselves.
A security feature that hides validator weights temporarily to protect against weight copying.
A system that controls how quickly validators' historical weights (bonds) change. It uses dynamic alpha values to reward those who find good miners early and discourage copying behavior.
A data structure that contains comprehensive information about the current state of a subnet and its participants.