May 8, 2026

Why iph.so

A short note on AI, physics, and building systems that understand the world.

AI systems are increasingly fluent in text, images, and code, but the world itself is dynamical, structured, and physical. The next generation of models will need to reason about fields, matter, constraints, and evolution over time.

iph.so exists to explore that frontier: neural representations that stay compact at high fidelity, operator-learning systems that model how states change, and scientific tools that make these systems practical to inspect, simulate, and deploy.

This site will grow with research notes, demos, and experiments aimed at that goal.