AI has started to produce creative and convincing outputs. Yet it often makes factual mistakes or hallucinations. For it to handle high-stakes or autonomous tasks, its outputs must be reliably verified. @Mira_Network provides a decentralized, trustless verification layer for these AI outputs. How does Mira work? It transforms outputs into independently verifiable claims. Each claim is distributed across multiple AI models, which collectively determine the validity of each claims. Their economic security model combines Proof-of-Work (PoW) and Proof-of-Stake (PoS) mechanisms. This creates sustainable incentives for honest verification while capturing and distributing real economic value. > PoW ensures verifiers run inference tasks rather than guessing > PoS requires nodes to stake value, with penalties for dishonest or lazy behavior Privacy is preserved because claims are sharded and responses remain private until finalization. Meaning that any single verifier cannot reconstruct the full content. Key points about Mira: > No single entity controls the output-validation process > Enables integration with any AI system, from chatbots to autonomous agents > Claim sharding and secure aggregation prevent data leakage Mira uses multiple models and decentralized consensus to verify AI outputs. This reduces bias by incorporating diverse perspectives and eliminates hallucinations through collective validation. Centralized verification would simply shift the bias to whoever controls it. Mira instead enables anyone to participate in verification, creating a neutral and robust network for truth validation. Over time, Mira aims to merge generation and verification into a foundation model that outputs only verified, error-free content.