We Study Billionaires - The Investors Podcast

Mark Suman, co-founder of Maple AI and OpenSecret, shares his insights on how to build cutting-edge AI without sacrificing user privacy. From secure enclaves and attestation to real-world use cases in law and finance, Mark outlines the technical and ethical foundations of private AI, and why efficient inference, not just open models, is the next big frontier. IN THIS EPISODE YOU’LL LEARN: 00:00:00 - Intro 00:01:57 - How Mark’s Time at Apple Shaped His Vision for Secure, User-First AI 00:06:06 - Why Verifiable AI Matters for Protecting User Data 00:07:38 - The Privacy Threats of Centralized AI Models 00:15:26 - What Maple AI Does That Other AI Tools Don’t—End-to-End Encrypted, Verifiable Privacy 00:17:30 - The Threat Models Maple Addresses and How Enclaves + Attestation Work 00:19:51 - Why Inference Speed and Efficiency—Not Open Weights—Are the New AI Battleground 00:24:05 - Where Decentralized AI Fits Into Today’s Landscape 00:25:12 - A Step-by-Step Guide to Getting Started with Ma