Currently, most AI applications are like an opaque black box. Users can only passively accept the results but cannot know whether the reasoning process is fair or has been tampered with. This uncertainty is a fundamental obstacle preventing AI from deeply integrating into the Web3 world, which emphasizes certainty. In response, @inference_labs has proposed a key idea: the reasoning process of AI itself should become an auditable infrastructure. They focus not on the absolute performance of models but on ensuring that each inference result is trustworthy and can be independently verified. This directly addresses the core pain point of combining AI with blockchain. When AI decisions begin to directly impact assets or automatically execute contracts, the entire system cannot rely solely on trust in its centralized servers. Through verifiable reasoning mechanisms, Inference Labs aims to make AI outputs as reliable as on-chain transactions. This provides a crucial prerequisite for the safe application of AI in DeFi, automated protocols, and complex multi-agent systems. It also signals a future trend: in open networks, the truly scalable AI systems may not be the smartest models but those with the most transparent and trustworthy reasoning processes. Inference Labs is building the foundation for this trustworthy future. @Galxe @GalxeQuest @easydotfunX