Why the Next AI Breakthrough May Come from Physics with Max Welling - #774

The biggest gains from AI won't come from just making current models larger. If your team thinks the next breakthrough is only about more compute and data, you are missing the real shift. New AI architectures, inspired by fundamental science, are poised to solve problems today's systems cannot touch. This changes what's possible in product design and complex operations.

Max Welling, on the TWIML AI podcast, argues that physics, not just scaling, could drive the next AI leap. He highlights CuspAI's work using generative AI to design new materials for semiconductors and clean energy. Welling suggests concepts like thermodynamics and wave dynamics could inspire AI architectures beyond current scaling limits. This shows how novel scientific thinking creates new commercial capabilities, rather than just optimizing existing ones.