Used GPT-6 Astra to turn OpenAI’s Navier–Stokes solution into an animation
A developer utilized GPT-6 Astra in Codex to create an animation from OpenAI’s Navier–Stokes solution. The developer aimed to gain intuition about the solution by using GPT-6 Astra to unpack the 166-page paper and reconstruct the local flow. An interactive version of this animation is available at jaime.cc/navierstokes.
Why this oneThis report uniquely details how GPT-6 Astra was used to interpret a complex 166-page paper and visualize its findings, unlike typical applications that focus on code generation.
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PublishedOffset at this time: UTC+0Sep 11, 2026, 23:38 UTC
IngestedOffset at this time: UTC+0Sep 12, 2026, 12:01 UTC
- Published
- Sep 11, 2026, 23:38
- Ingested
- Sep 12, 2026, 12:01
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I wanted to get some intuition for what OpenAI’s Navier–Stokes construction actually looks like, so I used GPT-6 Astra in Codex to help unpack the 166-page paper, reconstruct the local flow, and turn it into this animation.
What you’re seeing is a glimpse of the local geometry behind the construction: flow spiraling inward while stretching along the axis. Basically, a snapshot of the velocity field at one instant.
This is only a local reconstruction (not the full solution or proof) but it made the mechanism much easier for me to understand visually.