The emergence of Inference Labs marks a new stage in the integration of Web3 and artificial intelligence technology.



In the past, decision-making and outputs of AI inference systems often lacked verifiability, which was especially unsuitable for applications involving large-scale funds or highly sensitive data.

@inference_labs builds modular, verifiable AI inference infrastructure, enabling high-level collaboration between on-chain protocols and off-chain AI computation.

For example, its collaboration with Lagrange integrates advanced zkML tools into the ecosystem, thereby enhancing the ability to generate cryptographic proofs of AI model behavior and helping to address the black-box problem of AI.

Through integration with decentralized networks, Inference Labs not only brings trusted AI inference into Web3 applications but also promotes the development of multi-party verification networks, breaking the monopoly of centralized AI service providers over result outputs.

Such architecture can provide auditable and traceable AI inference services for DeFi, gaming, enterprise applications, and more, while safeguarding model ownership and privacy.

As protocols like Proof of Inference mature and are more widely adopted in the future, decentralized and verifiable AI inference is expected to become an important infrastructure for blockchain-driven trustworthy integration of smart contracts and automated decision-making.

@inference_labs @Galxe @GalxeQuest @easydotfunX
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