⚡️ Friends, AI has entered a whole new era. It is no longer just generating responses but now executing payments, operating systems, conducting transactions, and making decisions.

This means that AI is no longer merely a tool but an agent capable of taking actions. However, the core issue that arises is: Are the behaviors of this agent correct and trustworthy?

Existing AI architectures cannot answer this question. System logs may be tampered with, and the internal logic of models is a black box, making it fundamentally impossible to verify their behavior.

Against this backdrop, the role of Inference Labs becomes particularly important. Inference is building a verification layer based on zero-knowledge proofs (ZK) to ensure that the actions of AI agents can be independently verified, rather than relying solely on the system’s internal unseen processes.

Through mechanisms like consistency proof and agentic verification, Inference can demonstrate in a verifiable manner: Does the agent follow the strategy? Does it maintain consistent judgment logic? Does it act based on real evidence? All of this is no longer reliant on trusting the model but is mathematically verifiable.

If AI is to truly become an economic entity and move toward autonomous action, it must ultimately possess a credible proof of behavior. Inference is precisely filling this gap, building trust infrastructure for AI at an era-defining level.

@inference_labs #inference @KaitoAI #KAITO