Many people discuss AI's future by focusing on model parameter scale, but what truly determines whether AI can be widely applied is actually inference cost and accessibility.

@dgrid_ai's approach is to redesign the AI network from the infrastructure layer. Through distributed nodes, intelligent routing, and on-chain verification mechanisms, the system can distribute AI inference tasks across global nodes while verifying the reliability of computation results through mechanisms like Proof of Quality.
The change brought by this structure lies in the fact that AI inference begins to possess open attributes similar to Web3 networks. Any node can participate in computation, and developers can directly invoke AI capabilities on-chain.
As AI gradually becomes an open network capability, future Web3 applications will no longer be limited to financial or data systems, but will gradually evolve into a truly intelligent decentralized application ecosystem.
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