Essential Context
In this deep dive conversation, we sit down with David Johnston, one of the key contributors to Morpheus AI, to explore how decentralized AI is reshaping the future of personal intelligence. From co-authoring the original Ethereum whitepaper to now building the infrastructure for personal AI ownership, David shares the lessons learned from crypto's biggest successes and how they're being applied to solve AI's centralization problem. What You'll Learn: * Why personal AI ownership matters more than privacy alone * How Morpheus uses a "fair launch" model to reward builders, capital providers, and compute contributors * The key differences between building ecosystems vs. building companies * Why open-source AI models are catching up to proprietary ones faster than expected * How to design tokenomics that actually work for all stakeholders Key Topics Covered: * The "Holy Trinity" of crypto success: engineers, capital, and compute working together * Why neutrality and permissionless building create stronger network effects * Lessons from Ethereum's early days that apply to AI infrastructure today * The importance of removing friction for both builders and end users * How fair launches create stronger community ownership than traditional funding models Standout Quotes: * "When they say data is the new oil, that's what they're talking about. Your data is worth money." * "The DAOs that govern best govern least" * "Action creates information" - why shipping MVPs beats perfect planning About the Guest: David Johnston is a key contributor to Morpheus AI and co-author of the original Ethereum whitepaper. He's been in the crypto space since 2012 and has been instrumental in developing the smart contract infrastructure that powers Morpheus's decentralized AI ecosystem.
2 episodios
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