Dynamic AI governance layer: Reinforcement PoS consensus algorithm based on reinforcement learning achieves dynamic optimization of network parameters
Modular architecture supporting parallel multi-virtual machines (EVM/WASM/BPF)
Compliance automation through zero-knowledge machine learning (zkML)
High-performance transaction processing system addressing scalability issues
Multi-chain cross-chain technology, random forest algorithms, AI neural network intelligence, and more
The native governance token of MUD public chain is $MUD, with an initial total supply of 850 million tokens that cannot be increased. Main uses include:
Staking: Users participate in node operation and network security maintenance by staking tokens to earn block rewards.
On-chain fee payment: Used to pay transaction fees and smart contract execution costs, ensuring smooth on-chain activities.
Decentralized governance voting: Token holders can participate in network governance, voting on important decisions such as public chain development, parameter adjustments, and protocol upgrades.
Ecosystem applications and incentives: Used within the ecosystem for project investments, liquidity mining, and partner incentives.