🔍 Who checks the checker — when it comes to AI?
Imagine: you received a medical recommendation from an AI model. How to ensure that it hasn't been tampered with, fabricated, or simply lied about? Traditional validation methods are either too slow or require full access to the model itself.
The answer is provided by @Lagrange Official with zkML technology and the DeepProve product. This is a system that generates special cryptographic "proofs of correctness" — without disclosing data or the algorithm.
That is:
✅ AI remains private,
✅ the result is publicly verifiable,
✅ trust is ensured automatically.
This is ideal for applications in healthcare, finance, governance — where transparency and security are critically important.
And most importantly — DeepProve is already working now and supports even models like GPT-4 and Claude.
