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Burn Mechanism

HyperGPT ecosystem utilizes a unique burn mechanism that is designed to ensure the long-term sustainability of the platform and increase the value of $HGPT for holders. Rather than burning a percentage of each transaction, the HyperGPT burn mechanism is triggered by a specific event: the release of a new version of the HyperGPT AI model.
When a new version of the HyperGPT AI model is released, a certain percentage of the $HGPT supply will be burned, based on the number of transactions that have occurred since the last model release. The percentage burned will be proportional to the number of transactions, so that the more usage the platform has seen, the more $HGPT will be burned.
This burn mechanism serves two key purposes. First, it ensures that the circulating supply of $HGPT is constantly decreasing over time, increasing its scarcity and potentially driving up its value. Second, it provides a strong incentive for users to continue using the HyperGPT AI, as each use contributes to the growth and development of the platform while also reducing the total supply of $HGPT .
In addition to the burn mechanism, a portion of the transaction fees generated by the HyperGPT platform will be used to fund ongoing development and marketing efforts, as well as to provide rewards and incentives to users who contribute to the platform's growth and success. By combining these mechanisms, HyperGPT aims to create a self-sustaining ecosystem that benefits all stakeholders and drives long-term value for $HGPT holders.