With the rapid development of intelligent agent economy, the credibility of AI inference results has become an unavoidable topic. Whether models can be tampered with, whether outputs are genuine, and whether decisions can be verified—all these issues will affect the feasibility of decentralized AI in the future.

@inference_labs chooses to focus deeply on this critical point. It does not create flashy applications but is dedicated to building a verification layer for all AI, allowing each inference to generate traceable and unforgeable proofs.

The team maintains close cooperation with multiple ecosystems, including decentralized AI networks like Bittensor. On Subnet 2, they have already produced a large number of zero-knowledge proofs, providing real operational data for model verification.

Their goal is very clear: to make the decision-making process of AI reliable even without centralized trusted institutions, enabling decentralized autonomous systems, on-chain governance, and high-value industries to confidently use AI.

As the protocol capabilities continue to expand, Inference Labs is becoming an unstoppable force in the field of trustworthy AI computation.

#KaitoYap @KaitoAI #Yap