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Creating black hole simulations with Codex

OpenAI15 June 2026Watch on YouTube

Description

To learn more about black holes, computational astrophysicist Chi-kwan “CK” Chan is working to create the first moving image of one. CK creates simulations and compares them to observational data gathered at telescopes – but these don’t always match up. CK creates simulations and compares them to observational data gathered at telescopes – but these don’t always match up. So he uses Codex to generate new algorithms to test. It would normally take him ten days to create ten new algorithms. With Codex, it takes just a few minutes, making previously impossible simulations possible. Learn how Codex is changing science in fundamental ways, and how it’s helping CK reach the edge of the universe.

What you'll learn

  • Codex automatically generates new algorithms for black hole simulations, reducing development time dramatically from ten days to minutes
  • Chi-kwan Chan compares computer simulations with telescope observation data to better understand black holes
  • AI-powered code generation makes previously impossible scientific simulations and experiments now practically feasible

Frequently asked questions

How does Codex help with black hole research?
Codex automatically generates new algorithms that Chi-kwan Chan needs to test black hole simulations. This accelerates the process from ten days to a few minutes, allowing him to experiment much faster and try new simulations more rapidly.
What is the role of observational data in Chi-kwan's work?
Chi-kwan Chan compares computer simulations with telescope observation data to check if his models are correct. When simulations don't match the observational data, he uses Codex to generate new algorithms and improve the models.
What impact does Codex have on scientific research according to the story?
Codex is changing science in fundamental ways by enabling researchers to perform previously impossible simulations and experiments. The enormous time savings make iterative testing and research procedures much more efficient.

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