Mira Network has launched its public testnet, aiming to enhance the reliability of AI-generated content. The project seeks to address issues related to AI hallucinations, where AI systems produce inaccurate or fabricated information. By employing a decentralized consensus mechanism, Mira aims to verify the authenticity of data outputs from AI models. The project raised $9 million in funding last July, backed by notable investors including Framework Ventures and Mechanism Capital. The testnet's release is seen as a significant step in building trust in AI technologies, with various applications already in use that demonstrate its potential to reduce inaccuracies in AI-generated content.