"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis Material Abundance: Radical AI’s Closed-Loop Lab Automates Scientific Discovery
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Aug 30, 2025 
Joseph Krause and Jorge Colindres, co-founders of Radical AI, discuss their groundbreaking 'materials flywheel' that combines AI with autonomous labs to accelerate materials discovery. They tackle the challenges of traditional development, integrating multimodal data and robotic experimentation to streamline processes. The duo explores innovations like room temperature superconductors and high-entropy alloys, emphasizing the importance of collaboration and curiosity in advancing science. Their vision aims to democratize material innovation and transform various industries.
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Materials Bottlenecks: Cost, Time, Fragmentation
- Materials discovery is slowed by three structural problems: cost, time, and fragmentation. Radical AI targets the white space between academic discovery and corporate optimization to drive novel, application-focused materials.
Throughput Unlocks Experimental Data
- High-throughput autonomous labs compound discovery by running many active-learning experiments instead of serial human trials. Radical AI's lab targets ~100 experiments/day to unlock large experimental datasets and accelerate iteration.
Gorilla Glass Sat On The Shelf
- Jorge tells the Gorilla Glass story: Corning shelved Chemcor for decades until Apple repurposed it for phones. That shows how valuable materials can sit unused until a customer demand aligns with properties.