Theoretical Physics With Generative AI – #101

About this episode

Steve Hsu discusses the intersection of generative AI and theoretical physics, highlighting recent research and its implications.

All but the last 20 minutes of this episode should be comprehensible to non-physicists. Steve explains where frontier AI models are in understanding frontier theoretical physics. The best analogy is to a “brilliant but unreliable genius colleague”! He describes a specific example: the use of AI in recent research in quantum field theory (Tomonaga-Schwinger integrability conditions applied to state-dependent modifications of quantum mechanics), work now accepted for publication in Physics Letters B after peer review. Remarkably, the main idea in the paper originated de novo from GPT-5. Links: X discussion - https://x.com/hsu_steve/status/1996034522308026435 Companion paper: Theoretical Physics With Generative AI - https://drive.google.com/file/d/16sxJuwsHoi-fvTFbri9Bu8B9bqA6lr1H/view Physics paper - https://arxiv.org/abs/2511.15935 | https://www.sciencedirect.com/science/article/pii/S0370269325008111 Related discussion of AI and theoretical physics with Prof. Nirmalya Kajuri (IIT) and Prof. Jonathan Oppenheim (UCL) - https://youtu.be/BRuDd3l0e3k Related video: AIs Win Math Olympiad Gold: Prof. Lin Yang (UCLA) – Manifold #97 - https://youtu.be/8JeRCqNg7Rc Chapter markers: (00:00)…

People in this episode

Host: Steve Hsu

Guests: Nirmalya Kajuri, Jonathan Oppenheim

Topics covered

• theoretical physics
• generative AI
• quantum field theory
• AI models
• research publication

Keywords

• AI
• theoretical physics
• quantum mechanics
• GPT-5
• research
• peer review
• integrability conditions

Mentioned in this episode

Organizations: IIT, UCL, UCLA

Books & works: Physics Letters B, Theoretical Physics With Generative AI, arXiv, ScienceDirect

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