A recurring debate in Web3 concerns the reliability of AI outputs when deployed in decentralized environments. Without verification, advanced models risk becoming new points of centralization. @mira_network approaches this dilemma through incentive engineering and cryptographic assurances.
At its core, the network establishes economic structures that reward accurate computation while penalizing dishonest behavior. The $MIRA token functions as both a coordination mechanism and a security primitive. Participants are economically motivated to validate and maintain trustworthy AI outputs.
This design reflects a broader theoretical tension between automation and accountability. Rather than rejecting AI, @mira_network integrates it into blockchain systems under provable constraints. The outcome is a network where intelligence is not merely efficient but also economically disciplined.
Such alignment could prove essential as Web3 protocols increasingly rely on algorithmic reasoning for governance, risk modeling, and automation.