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DeepNode $DN officially launches on multiple trading platforms today, and at the same time, the network's coordination layer has begun operation.
The highlight of this project is not in the candlestick charts, but in how it designs the operational logic of a decentralized AI system—simply put, how to automatically align the contributions, execution rights, and revenue sharing of different participants.
Traditional AI systems often adopt a centralized architecture, with decision-making power and revenue rights controlled by a few parties. DeepNode's approach is completely opposite: it transparently records each node's contribution through an on-chain coordination layer and automatically distributes value according to rules. This model allows participants to directly see how their contributions translate into rewards, eliminating layers of middlemen.
From a technical perspective, this represents a new exploration direction for decentralized AI infrastructure.