Host Preston Pysh interviews Maple AI founder Mark Suman about building privacy-preserving, verifiable AI using trusted execution environments and secure enclaves. They discuss the cultural importance of privacy at Apple, the risks of feeding proprietary AI systems with intimate personal data, and how verifiable, open-weight models can mitigate manipulation and data leakage. The conversation also covers Maple's architecture, AI memory, the open-source vs proprietary model race, AI-assisted software development, and the potential future of running personal AI servers at home.