πͺToken utility
Incentivizing Training Nodes: Nodes that contribute computational power to train new voices are rewarded with NoiseGPT tokens, encouraging active participation in enhancing the platform's capabilities.
Incentivizing Inference Nodes: Nodes executing inferences for users receive NoiseGPT tokens as compensation for their computational resources, creating a decentralized, scalable, and efficient infrastructure.
Request Settlements: Users pay for voice generation services using NoiseGPT tokens, driving demand and enhancing the token's utility.Deflationary Mechanism: A percentage of tokens from each transaction is burned, reducing the overall supply and increasing scarcity. This mechanism creates upward pressure on the token's value.
Staking: Users can stake NoiseGPT tokens to receive discounts on voice generation services and earn a share of the platform's revenue, providing incentives for long-term holding.
Governance: NoiseGPT token holders have the power to vote on proposals and influence the platform's future development, fostering community engagement and decentralization.
Dynamic Fee Structure: The platform's fee structure is designed to adapt to network conditions, ensuring that fees remain competitive while rewarding nodes for their computational power.Network Effect: By integrating the NoiseGPT token into every aspect of the ecosystem, we create a strong network effect, driving demand and increasing the token's value.
Incentivized Participation: The tokenomics model rewards both training and inference nodes, ensuring that the platform has access to ample computational resources to deliver top-notch AI-generated voices.
Ecosystem Synergy: The tokenomics model encourages staking, governance participation, and long-term holding, fostering community engagement and a self-sustaining ecosystem.
Tailored Fee Structure: The dynamic fee structure caters to the unique requirements of the voice generation ecosystem, offering competitive rates while rewarding nodes fairly.
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