Since the emergence of @inference_labs, it is not only a technological innovation in the credibility of AI outputs but also a bridge between decentralized computing and AI verification. It builds a decentralized zkML computing network, enabling distributed nodes to participate in AI inference calculations and generate proof that these inference results are valid. This model breaks the trust framework of traditional centralized deployment, allowing different organizations and users to trust AI data and results without third-party oversight. This decentralized verification mechanism has a profound impact on future industries, especially as more enterprises and developers begin to use AI agents for complex scenarios such as automated trading, compliance checks, and smart contract execution. Ensuring that the behaviors of these automated systems are consistent and traceable becomes a necessary condition. Inference Labs' architecture provides scalable solutions for these scenarios by automatically generating zk proofs, thereby enhancing the robustness and interoperability of the entire decentralized ecosystem, while also promoting the deep integration of AI and blockchain technology. @Galxe @GalxeQuest @easydotfunX