Many on-chain AI projects face the biggest problem not of insufficient model strength, but of smart contracts being unable to determine whether inference results are reliable. Once the results are unverifiable, AI can only remain at the auxiliary tool level.

@inference_labs addresses this gap by building a verifiable inference infrastructure that decomposes inference execution, result generation, and verification processes into an auditable framework.

In this way, the contract no longer relies on single-point trust in AI output, but on verified and constrained computational results, enabling AI to truly participate in on-chain logic and automatic decision-making.

@KaitoAI #Yap @easydotfunX