In this episode, Ron Bodkin explores the intersection of AI and crypto, emphasizing responsibility, governance, and the transformative potential of Web3. He shares his journey from Google to founding Theoric and ChainML, reflecting on the shift from corporate AI leadership to startup innovation. The discussion covers agent collectives, challenges in AI standardization, and metrics for decentralized AI success. Ron also introduces Proof of Contribution and Collaboration as trust-building mechanisms in AI, along with Theoric’s core pillars—interoperability, composability, and decentralized innovation. He delves into token economics, governance, and company culture, concluding with insights on leadership and the future of AI.

In this conversation, Jay from Sei Labs discusses the parallels between established cities and virtual machines, emphasizing the challenges of displacing dominant systems like the EVM. He shares his journey from traditional finance at Robinhood to now building Sei Network in Web3, highlighting the importance of user feedback and the need for higher throughput in blockchain technology. Jay introduces the concept of parallelization as a solution to current limitations and reflects on the role of memecoins in fostering community movements.

Join David Minarsch as he explores the concept of autonomy and its impact on human-machine relationships. He shares his journey into the crypto and AI space, including his work with Fetch.ai and the founding of Valory and OLAS. The conversation highlights the rise of autonomous agents, their practical applications, and the challenges within the Web3 AI landscape. David also emphasizes the value of mission-driven teams and the open-source ethos of OLAS, designed to coordinate decentralized autonomous agents effectively.