In this deep-dive episode, our host Dylan Kawalec sits down with Arman Aurobindo from zkVerify to explore the cutting-edge intersection of zero-knowledge proofs and trusted execution environments (TEEs).zkVerify handles verification for all major proof types (Groth16, RISC Zero, SP1) while eliminating the expensive 20-30% proof wrapping overhead and reducing verification costs by over 90% compared to native EVM verification. We dive into their integration with Phala's trusted execution environments and explore practical applications from ZK gaming to AI-powered DeFi trading agents.Arman explains why ZK proofs alone aren't enough for complete privacy, how TEEs fill the gaps, and their vision for bridging Web2 services with Web3 verification. We also discuss the future of ZK-AI applications, identity systems for underserved populations, and why the combination of ZK + TEE is the optimal approach for privacy-preserving applications.This conversation covers technical architecture, developer experience improvements, and the practical path to making privacy-preserving applications economically viable.Phala Docs: https://docs.phala.networkzkVerify Docs: https://docs.zkverify.io

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