The AI Agent That Compressed 8 Years of R&D Into 2 Weeks

Scientific discovery has always been slow. Until now. In this episode, we sit down with Dr. Qichao Hu, CEO of SES AI, to reveal how they are using AI agents to turn a 8-year research cycle into a 2-week sprint. By combining autonomous "wet labs" with advanced AI models, they are solving one of the hardest physics problems in tech: the battery bottleneck. We dive deep into how this "Molecular Universe" project isn't just about EV batteries—it's about unlocking power for data centers, robotics, and AR glasses. If you want to see a concrete example of AI agents working in the physical world to solve material science constraints, do not miss this conversation. 🔗 Learn more about SES AI: https://www.ses.ai/ 🔗 Follow the Molecular Universe project: https://molecular-universe.com/about Subscribe for more interviews with the people building AI’s next wave. For more practical, grounded conversations on AI systems that actually work, subscribe to The Neuron newsletter at https:// theneuron.ai.