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The Cognitive Revolution
Detailed conversations with AI researchers and builders about frontier models, agents, safety, policy, and the path toward advanced intelligence.
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Material Abundance: Radical AI’s Closed-Loop Lab Automates Scientific Discovery
Nathan LabenzJoseph KrauseJorge Colindres
Radical AI targets a materials-commercialization gap that can require “north of $100 million” and “10-plus years” by connecting AI recommendations to a robotic laboratory targeting 100 experiments per day, with failures, images, and property tests feeding active learning.High-entropy alloys for hypersonics are the initial wedge, but the model’s economic durability depends on scale-up, processing know-how, and factory reproducibility, while the company has yet to prove genuine model understanding or overcome legacy instruments that resist software control.