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.
Host Preston Pysh and guest Justin Evidon discuss how modern technology can be a double-edged sword, offering huge benefits while quietly reshaping behavior, privacy, and health. They cover social media recommendation algorithms, data sovereignty, decentralized protocols like Nostr, and emerging privacy-preserving AI tools. The conversation also explores physical impacts of technology such as LED light flicker, blue light, and electromagnetic exposure, along with practical strategies to protect circadian rhythms and use tech more intentionally.