Subnet
TensorUSD Subnet : https://github.com/TensorUSD/tensorUSD-subnet
The Subnet Side is the AI-driven core of the TAO-Backed Stablecoin () project, leveraging the Bittensor network's architecture to provide stability, liquidity, and security.
It is built upon a dedicated Bittensor subnet and utilizes the recent Dynamic TAO () upgrade.
1. SUSD Token Mechanics
The Subnet Side introduces the second token in the dual-layer architecture: the SUSD token.
Token Nature: is a native subnet token with a floating market value.
Deep Liquidity: It is designed to provide deep liquidity and decentralized market-making through -powered validators and miners.
Primary Constraint: The system enforces a crucial economic constraint: the market capitalization of must be greater than or equal to the market capitalization of .
2. Core Stability Mechanism (Miners and Validators)
The stability of the system is outsourced to the competitive intelligence of the Bittensor network:
Miners (Decentralized Market Makers - DMMs): Miners are incentivized to maintain the peg. They achieve this through algorithmic trading, which corrects any deviations in the internal price peg.
Validators: Validators are responsible for benchmarking miner performance. They use models to ensure oracle accuracy and peg stability.
3. Economic Engine (Dynamic TAO Integration)
The is powered by the Bittensor native economic model:
Incentives: The protocol directly benefits from the design, which allocates 18% of emissions to subnet incentives. This creates a powerful economic engine for the subnet.
Deflationary Pressure: subnet registration fees contribute to a deflationary pressure on supply.
4. AI-Enhanced Oracle Layer
The provides a secondary, decentralized oracle system for security:
Second Layer Security: It acts as a second layer of oracle security alongside .
Anomaly Detection: Validators and miners run models for price prediction and anomaly detection. This decentralized validation system cross-references Chainlink data, enhancing security and preventing single points of failure.
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