Artificial Intelligence is powerful but still struggles with hallucinations, where AI generates incorrect information with high confidence. This creates trust problems for automation and real-world applications. Mira Network solves this problem using decentralized consensus verification. Instead of relying on one AI model, Mira transforms AI output into verifiable claims and distributes them across multiple independent verifier nodes. Each node performs inference checking and submits results to the network. Consensus is achieved when most nodes agree on the correct answer, reducing hallucinations and bias.
The network uses a hybrid Proof-of-Work and Proof-of-Stake incentive system to ensure honest verification. Node operators stake value, and dishonest verification can be penalized. This makes attacks economically difficult. As the ecosystem grows, model diversity improves accuracy, reliability, and trust in AI-generated outputs.
@Mira - Trust Layer of AI $MIRA #Mira 
