Lagrange: ZK-Proving AI Alignment - Ismael Hishon-Rezaizadeh
Update: 2025-08-16
Description
In an age when AI models are becoming exponentially more sophisticated and powerful, how does one ensure that proper results are being generated and that the AI model functions in desired parameters? This pressing concern of AI alignment could be solved through cryptographic verification, using zero knowledge proofs. ZKPs not only allow for verifying computation at scale, but they also confer data privacy. Lagrange’s DeepProve zkML is the fastest in existence, making it easy to prove that AI inferences are correct, scaling verifiable computation as the demand for AI grows.
Topics covered in this episode:
- Ismael’s background and founding Lagrange
- AI x crypto convergence
- ZKML use cases
- AI inference verifiability
- AI safety regulations
- Revenue accruing tokens
- Pitching Lagrange to enterprise clients
- Assembling a dedicated team
- Cryptography research
Episode links:
Sponsors:
- Gnosis: Gnosis builds decentralized infrastructure for the Ethereum ecosystem, since 2015. This year marks the launch of Gnosis Pay— the world's first Decentralized Payment Network. Get started today at - gnosis.io
- Chorus One: one of the largest node operators worldwide, trusted by 175,000+ accounts across more than 60 networks, Chorus One combines institutional-grade security with the highest yields at - chorus.one
This episode is hosted by Sebastien Couture.
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