In the world of artificial intelligence 🧠 trust is the new currency. Every day we receive predictions from models: whether it's financial markets, medical diagnoses, or even automatic code audits. But there is a problem: how to verify that the model is not wrong or manipulating the results if we cannot see its internal logic?
This is where Lagrange's zkML technology comes into play. It allows the creation of cryptographic proofs of the correctness of AI operations without revealing either the model's structure or the data on which it was trained. It's like having a guarantee that a calculator gives the correct result, even if you can't see the calculation process.
Imagine a world where banks can assess a client's risk without access to their private information, and the government can verify the fairness of algorithms without interfering with their settings. This is not science fiction — it's a new level of transparency and security that is already unfolding today.
Follow me if you want to understand how Lagrange is step by step changing the future of AI and cryptography — I explain deeper than anyone else in the feed 🚀
And hold on — in the next post we will talk about one subtle but revolutionary aspect of zkML that changes the very logic of AI verification… 🔍