A fren of mine is working on a medical data model, and he is anxious every day:

"I fear that AI may produce errors, but I'm also afraid that the data might be altered. I'm not comfortable with centralized servers, and putting it on the chain is too expensive."

This is actually a contradiction that the entire AI application layer is facing: it needs to be secure, yet it also needs to run.

@irys_xyz Recently, what @Mira_Network and I have done together is to build a bridge between the two.

Mira is responsible for verifying the "authenticity" of AI, while Irys is responsible for ensuring that these verification results are permanently recorded, auditable, and callable.

The city attack lion believes that this is fundamentally reconstructing the foundational logic of "trustworthy AI."

🤝 @irys_xyz × @Mira_Network: The foundational puzzle of trusted AI is coming together.

What Mira is doing is verification—cross-referencing AI outputs using a multi-model consensus mechanism to make "hallucinations" and biases traceable.

Irys provides a data storage solution that is low-cost, programmable, and permanently verifiable, allowing these verification results to be recorded, invoked, and traced.

The combination of the two is like AI's "brain + memory":
Mira is responsible for identifying authenticity, and Irys is responsible for ensuring that the truth is never lost.

Currently, Mira processes over 3 billion tokens daily, with an accuracy rate of about 96%;

The storage cost of Irys is as low as just $0.03 per GB, supporting EVM chains and global node synchronous replication.

This "verification + permanent storage" structure lays a truly practical infrastructure for trustworthy AI.

The city attack lion believes that this is not an ordinary collaboration, but rather the final piece of the decentralized AI ecosystem puzzle is being put together.

When AI can be verified and data can be programmed, we are one step closer to "truly trustworthy AI."

#Irys MiraNetwork #AI Web3 #ProgrammableData