Currently, there is a fundamental problem with AI inference models: you get the answer, but you can't verify whether the result was genuinely produced according to your specified model and data. It's like a black box—you have to trust whatever comes out.

This is the core issue that projects like @inference_labs truly aim to solve—not making AI more user-friendly, but making AI outputs verifiable and trustworthy.

Writing a copy or generating some creative content, a black box is a black box, and it's no big deal anyway. But when it involves on-chain settlement, DAO governance voting, or allowing AI to participate in important decisions? At this point, credibility is not an option but a matter of life and death. You need irrefutable proof that this result was indeed generated based on transparent computational logic and genuine input data. Otherwise, the foundation of the entire on-chain application is just sand.