Pavel Sinelnikov Talks ZKM, Crypto Adoption & More at ETHDenver 2025 | GM Podcast скачать в хорошем качестве

Pavel Sinelnikov Talks ZKM, Crypto Adoption & More at ETHDenver 2025 | GM Podcast

At ETHDenver, we sat down with Pavle from ZKM ZK House to explore the convergence of zero-knowledge proofs, Web3, and AI. In this in-depth conversation, Pavle explains: The core mission of ZKM and its connection to the Metis ecosystem Why zero-knowledge proofs go far beyond privacy How ZKM is supporting verifiable compute, decentralized infrastructure, and AI agent integrity Their differentiation through the MIPS instruction set versus other ZKVMs using RISC-V The long-term vision of merging AI and Web3 using transparent, verifiable training data Their role in growing the ecosystem through Regenesis and better UX And how Bitcoin scalability is being enhanced with projects like Goat Network leveraging ZKM tech If you're interested in the future of trustless AI, verifiable compute, and Web3 infrastructure, this interview breaks it all down. Timestamps: 0:00 – Intro: Who is Pavle & what is ZKM? 0:33 – ETHDenver energy and first impressions 1:09 – Thoughts on Denver and its vibe 2:09 – Why Pavle is at ETHDenver: ZKM x Metis 2:44 – Pavle’s journey into Web3 (CryptoChicks, early Ethereum) 3:52 – How Web3 ecosystems are evolving and differentiating 4:52 – Balancing innovation across different chains and communities 5:30 – ZKM’s role in decentralized sequencers and offchain data 6:03 – ZK as a general-purpose solution (e.g., Bitcoin L2 with Goat Network) 6:51 – What does ZK actually mean? (Clarifying zero-knowledge proofs) 7:56 – Privacy vs. verifiable compute: broad ZK use cases 9:12 – What sets ZKM apart from other ZKVMs (MIPS vs. RISC-V) 10:53 – Importance of client diversity and decentralization 11:43 – Combining ZK with TEEs for multi-layered security 12:17 – The merge of AI and Web3: problems with current AI models 13:02 – Using blockchain data for training transparent AI agents 13:56 – Governance as a use case for verifiable AI 14:42 – How ZKM makes AI agent execution verifiable 15:29 – ETHDenver announcement: Focus on Regenesis and UX 16:12 – Bringing real-world applications into Web3 16:50 – Final thoughts: building the tools for onboarding and transparency 17:11 – Where to follow Pavle and learn more 17:53 – Closing thanks and shoutouts (Hedera & Foresight Ventures) Follow us on Social Media: Website: https://www.Genzio.co Twitter:   / genzioco   Instagram:   / genzioco   Tiktok:   / genzioco