One of the key challenges when combining AI with blockchain is how to build a reasoning layer that is both verifiable and efficient. This is precisely the problem @inference_labs has identified and is attempting to solve. The core idea of Inference Labs is to make AI reasoning no longer a black box, but something whose process and results can be cryptographically proven to be trustworthy. The Proof of Inference protocol uses zero-knowledge technology to enable AI outputs that are both verifiable and do not leak internal model details or data privacy. This is especially important in the current environment where large-scale AI applications demand high standards of trust and security. To achieve this, Inference Labs is building a decentralized verification architecture that allows AI reasoning to be performed off-chain, while still generating cryptographic proofs that enable on-chain applications and users to verify the authenticity of the results. Currently, this system is running on Bittensor's Subnet 2 and has produced over 100 million proof data points, demonstrating its practical potential in performance, scalability, and trustworthiness. It is clear that Inference Labs is not just stopping at technical concepts; it has made significant progress in funding and ecosystem development. The company has raised a total of $6.3 million to promote the development of Proof of Inference and related infrastructure. This funding round includes a $1 million investment from the Echo Syndicate community round and strategic investments from multiple institutions, providing resources for further development and integration. All of this reflects a deeper question: in the future AI world, will relying solely on centralized platforms for reasoning results be enough? Inference Labs' approach aims to make AI reasoning both provable and decentralized, setting new standards for AI transparency and helping to establish a trust foundation for future intelligent autonomous systems. @Galxe @GalxeQuest @easydotfunX