TWIML · August 25, 2026 · 55m

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

Max Welling, co-founder and CTO of CuspAI and professor at the University of Amsterdam, discusses how physics could inspire the next generation of AI systems. He explains CuspAI's work using generative AI to design new materials for semiconductors, batteries, and clean energy. The conversation then explores how physics concepts like thermodynamics, waves, and symmetry breaking might lead to AI architectures beyond the current scaling paradigm.

This summary was generated from show notes and public descriptions, not from a full transcript review. Details may contain inaccuracies.

Preview

•

Generative AI Accelerates Materials Discovery

CuspAI uses generative models, agentic workflows, and automated experimentation to design new materials for semiconductors, batteries, and carbon capture, significantly speeding up the search for functional materials.

Claude ChatGPT Gemini

•

Physics Offers a New Path Beyond Scaling

Max Welling argues that the next major AI breakthrough may come from physics—not from larger models or more data—by borrowing principles from thermodynamics, waves, and symmetry breaking to build fundamentally different architectures.

Claude ChatGPT Gemini

1 more ideas & all timestamps

This episode is in its early-access window. The full breakdown unlocks free in about 43 hours — Pro members read everything the moment it lands.

Read it now with Pro$10/mo · founding $96/yr

Was this useful?