As AI applications continue to expand, a core question arises: How can different countries and institutions collaborate trustworthily without sharing data?
Lagrange's solution is Proofs of Training. It allows multinational hospitals, financial alliances, and research institutions to jointly train AI models without exposing sensitive data, and generates a verifiable compliance certificate through zero-knowledge proofs. This not only ensures privacy but also enables multiple parties to establish trust at the encryption level.
In the latest engineering update, DeepProve-1 has already verified the reasoning of GPT-2, laying a solid foundation for the global implementation of Proofs of Training in the future. It is foreseeable that future AI governance will no longer rely on political agreements but rather on mathematics and cryptography.
Supporting the entire system is the token $LA : it drives the verification network to operate continuously and provides economic incentives for multi-party collaboration.
Lagrange is building not just a technical framework but a governance blueprint for globally trusted AI.
