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Episode 12: Discovering new materials is how we unlock new branches of the tech tree. But there is no way for the world’s most powerful AI tools to help us do that discovery – until now.
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(00:00) - Intro
(01:08) - GenMat's Goal: Building an AI System Smarter Than Humans at Physics
(02:17) - Why It's Hard for AI to Understand Physics Like Humans Do
(05:39) - How GenMat Models Atomic Level Activity to Optimize Materials
(09:35) - The Trial and Error Process of Traditional Materials Discovery
(11:28) - Materials Science 101: What Makes a Material and Its Key Properties
(15:00) - Perovskites: A Promising and Complex Material Family
(17:37) - How GenMat Helps Labs Discover and Optimize New Materials
(19:43) - The Challenges of Data, Representations and Feedback in Physics AI
(23:18) - Why GenMat Chose a Broad vs Narrow Focus Across Materials Domains
(25:32) - Expanding Into Geophysics to Find Critical Materials Using Satellites
(28:48) - The Experience of Launching GenMat's First Satellite with SpaceX
(30:58) - Overlap Between GenMat's Materials and Geophysics AI Models
(32:42) - GenMat's Progress: Team Size, Funding, Patents, Customers, Results
(35:46) - The Future 'Yug-Cyberia' Civilization Enabled by Advanced Physics AI
(38:54) - How Materials Breakthroughs Can Accelerate Mars and Space Exploration
(42:10) - The Difficulty of Communicating Complex Technical Work to Others
(44:48) - Breaking Down GenMat's AI Techniques: CDVAEs Explained
(48:55) - Why GenMat Uses Classical Deep Learning vs Quantum Computing Today
(51:37) - The Origins of GenMat: From Quantum Deep Learning to Classical AI
(54:02) - How GenMat Gets People Excited About the Potential of Materials
(56:11) - Rapid Fire Questions: Focus vs Breadth, Challenges, Surprises
(59:40) - Mapping Out a Future with Intelligent Matter and Interstellar Travel
(01:03:50) - The Meaning and Origins of the Term 'Yug-Cyberia'
(01:05:15) - Conclusion: Advanced Physics AI Can Get Us to Mars and Beyond
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Links:
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First Principles with Christian Keil