The AI economy just got decentralized. Instead of data flowing to centralized platforms, developers now monetize directly—earning for every inference their models process. Here's the twist: validators judge output quality, not compute power. Models actually compete on accuracy and relevance rather than marketing budgets.

Built on Base, the protocol introduces "Proof-of-Work Relevance"—a mechanism that rewards genuine utility over raw computational resources. Think of it as merit-based competition for AI services.

$DN launched recently, gaining traction on major exchanges. The model here flips the script: those who contribute valuable compute and validation get rewarded proportionally. It's a fresh take on how AI infrastructure could operate at scale.