• •Astrophysicist Chi-kwan Chan utilized OpenAI's Codex to automate code generation for complex relativistic astrophysics simulations.
• •The integration assisted in testing Einstein’s theory of general relativity by accelerating the creation of software used to visualize black hole environments.
• •It remains unclear how frequently the AI-generated code requires manual correction for high-precision scientific accuracy.

University of Arizona astrophysicist Chi-kwan Chan has incorporated OpenAI’s Codex into his workflow to generate code for black hole simulations. This approach relies on large language models to bridge the gap between theoretical models of extreme physics and the intensive computational software required to visualize them. However, researchers still face challenges verifying the precision of AI-authored scripts, as complex simulations demand absolute mathematical rigor. Whether AI tools like Codex will become standard in high-stakes research remains to be seen, as accuracy benchmarks are still being established for scientific software.