OpenAI’s article explains how astrophysicist Chi-kwan Chan uses Codex to improve simulations of black holes. His team studies plasma near event horizons, where electrons and ions move in complex spirals around magnetic field lines. Traditional simulations must track every tiny particle motion, which slows even powerful supercomputers.
Codex helps Chan generate and test new numerical algorithms that may reduce this burden. The article presents AI as a research assistant that proposes ideas, while scientists verify them through rigorous testing.
If successful, these methods could unlock more realistic simulations of extreme physics around supermassive black holes in future research workflows too.
