Why is it that everyone is discussing AI, yet the assumption remains that computation must be centralized?

The current AI landscape is essentially dominated by API monopolies. Who owns the models, who sets the prices, whether the results are correct—you can only trust. This conflicts with the original intention of Web3.
@dgrid_ai aims to address this layer. Instead of creating another model, it disassembles the inference process, executes it across distributed nodes, and verifies results using Proof of Quality.
The significance of this step is that computation becomes verifiable rather than blindly trusted for the first time.
The most critical change here isn't performance but the trust structure. In the past, you trusted the platform; now, you trust the mechanism.
$DGAI plays a very direct role here, serving both as a payment method and as a node collateral and incentive tool. Inference is not a free resource but a priced computing market.
If AI ultimately becomes infrastructure, the question won't be which model is stronger, but whose computation is more trustworthy.
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