Inference Labs: Building the 'Verification Layer' Protocol for the Autonomous AI Era As AI rapidly enters critical fields like medical surgery, a gap has emerged between the scale of technology deployment and public trust. ❌ Black Box Dilemma: Current AI agents lack auditability and accountability mechanisms in their decision-making processes when handling tasks. ✅ Proof of Inference (PoI) proposed by Inference Labs @inference_labs aims to solve this issue while providing security, identity verification, and accountability layers for autonomous systems. ■ Proof of Inference (PoI) and Performance Metrics Inference Labs @inference_labs is not just a narrative-driven project; its data performance is also outstanding: zkML Performance: By optimizing the zkML proof generation process, the median proof generation time has been reduced from 15 seconds to 5 seconds, achieving a 67% efficiency improvement. Network Scale: The network is currently supported by 1,402 miner nodes and has generated over 272 million on-chain proofs cumulatively. As the number of AI agents continues to grow, this privacy-preserving and scalable verification layer from Inference Labs @inference_labs will become an indispensable foundational protocol in the future digital economy.