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Zero-knowledge proofs are revolutionizing trust in AI and blockchain by providing verifiable computation without compromising privacy or security.  Ismael Hishon-Rezaizadeh, founder of Lagrange, explains how their technology is making AI trustworthy at internet scale with practical applications for combating deepfakes and securing sensitive data.

• ZK proof generation costs have decreased by 1000x in just three years, making previously theoretical applications practical
• Lagrange's DeepProof is the first zero-knowledge machine learning library, 700 times faster than competitors
• Users typically don't prioritize privacy and security until they experience a breach, creating adoption challenges
• ZK technology enables verifying AI outputs without revealing underlying data, essential for trust in autonomous systems
• The convergence of AI and blockchain creates more than additive effects – not 1+1=2, but 1+1=5 in terms of innovation potential
• Common misconception: ZK technology is not limited to Ethereum but applicable to any chain, execution environment, or application
• Two enduring use cases in crypto: simple cross-border value transfer and complex AI systems deployed on decentralized infrastructure

This episode was recorded through a Descript call on March 18, 2025. Read the blog article and show notes here: https://webdrie.net/decentralizing-security-how-lagrange-is-revolutionizing-crypto-and-ai-verification-with-ismael-hishon-rezaizadeh

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