

The Intersection of AI and Blockchain | A Conversation with Rand Hindi
16 snips Nov 21, 2024
In this engaging discussion, Rand Hindi, Co-founder and CEO of Zama, dives into the cutting-edge world of Fully Homomorphic Encryption and its applications in AI and blockchain. He articulates his journey into tech, highlighting the critical need for privacy in our digital landscape. Rand unveils how FHE can protect confidentiality in financial transactions while simplifying compliance through smart contracts. The conversation also explores the innovative merging of AI and blockchain, paving the way for secure data monetization and future financial applications.
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Hindi's Privacy Journey
- Rand Hindi, CEO of Zama, has been a developer since age 10 and built his first company in the 90s, a social network.
- This experience sparked his interest in privacy, noticing his access to user data felt wrong.
FHE Explained
- Fully Homomorphic Encryption (FHE) allows computation on encrypted data without decryption, enabling end-to-end encryption for online services.
- This is crucial for blockchain, where everything is publicly visible, enabling confidential smart contracts.
Confidentiality vs. Privacy
- FHE's applications extend beyond personal privacy to confidential data, crucial for B2B transactions and regulatory compliance (KYC/AML).
- Confidentiality is a broader design space than privacy, encompassing non-personal sensitive information.