In the wave of combining AI and blockchain, the infrastructure provided by @inference_labs is expected to drive the rebuilding of trust mechanisms across multiple industries. Currently, AI applications in medical diagnosis, financial risk assessment, automated decision-making, and other fields are rapidly growing, but these areas demand high accuracy and transparency of results. For example, in healthcare, if AI inference results cannot be independently verified, it is difficult to gain recognition from clinicians and regulatory agencies; in finance, AI-driven investment strategies and risk models face similar compliance challenges. Inference Labs' proposed Proof of Inference attaches a verifiable mathematical proof to the computational results, allowing these inferences to not only preserve model privacy but also demonstrate the validity of the inference process to third parties. This verifiability enhances trust in AI systems, making products and services relying on AI inference more easily accepted by mainstream industries. This cross-industry value not only promotes the technological maturity of AI itself but also opens up broader space for business models centered around AI development. @Galxe @GalxeQuest @easydotfunX