# Burn and Mint Equilibrium Model (old)

We introduce an advanced version of the Burn and Mint Equilibrium Model (BME) for collaborative machine learning. In the ChainOpera ecosystem, consumers request AI services—including AI agent interactions, model inference, and model training—from a decentralized network of AI infrastructure suppliers. Consumers pay in fiat currency and burn a variable amount of tokens to access these services, while suppliers receive a combination of fiat currency and tokens. The number of tokens that consumers must burn depends on both the current token price and job price. Similarly, supplier rewards are distributed according to a dynamic emission schedule and each supplier's contribution to ML services.

<figure><img src="/files/TIhlt1OfgtCppWsCRZC2" alt=""><figcaption></figcaption></figure>

For the complete documentation of the BME model in ChainOpera AI, please refer to [this detailed document](https://docs.google.com/document/d/1uoYLLVG3NxcvvmgVe2Huog-xSY4INMb8zWzfKBlDfc4/edit?tab=t.0) (requires permission from the ChainOpera team).


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