253: Polyhedra’s Eric on Scaling Secure AI with ZK Proofs and Real-Time ML Verification

Eric from Polyhedra joins Sam Kamani to unpack how zero-knowledge proofs are redefining interoperability, AI verification, and developer tooling. They dive into the launch of ZK PyTorch, EXP Chain, and how verifiable AI could become the new standard for trusted machine learning. If you’re building with LLMs, exploring trustless infrastructure, or care about blockchain security—this episode is for you.Key Timestamps[00:00:00] Introduction: Sam welcomes Eric from Polyhedra and previews the conversation on ZK proofs, AI, and Web3.[00:01:00] Polyhedra Origin: Eric shares how he met the team while working at LayerZero and why he joined the project.[00:02:30] The Problem with Bridges: Why Polyhedra’s ZK-based approach makes interoperability more secure.[00:04:00] What is Expander?: A fast, scalable ZK proof system designed for real-time verifiability.[00:06:00] ZK PyTorch: Turning any PyTorch model into a verifiable model in minutes.[00:08:00] Verifiable AI Use Cases: Why financial applications like agents handling payments need proof-backed AI.[00:10:00] Developer Workflow: How easy it is to integrate ZK PyTorch into existing machine learning pipelines.[00:13:30] ZKML Festival & Community: Polyhedra’s push to educate AI developers on trust-minimized systems.[00:15:30] Marketing Advice: Eric’s background in content-driven growth, and why domain-specific content still wins.[00:19:30] EXP Chain: Polyhedra’s new L1 for verifying ZK proofs cheaply and efficiently on-chain.[00:23:30] The Future of Verifiable AI: The team’s goal to bring sub-second ZK proofs to large language models.[00:25:00] Call to Action: How developers, users, and founders can get involved with Polyhedra’s ecosystem.Connecthttps://www.polyhedra.network/https://x.com/PolyhedraZKhttps://www.linkedin.com/company/polyhedrazk/https://x.com/vreelandhttps://www.linkedin.com/in/evreeland/DisclaimerNothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.Be a guest on the podcast or contact us - https://www.web3pod.xyz/