This month, OpenAI announced their Codex app and my coworkers were asking questions. So I downloaded it, and as a test case for the GPT-5.2-Codex (high) model, I asked it to reimplement the UMAP algorithm in Rust. UMAP is a dimensionality reduction technique that can take in a high-dimensional matrix of data and simultaneously cluster and visualize data in lower dimensions. However, it is a very computationally-intensive algorithm and the only tool that can do it quickly is NVIDIA’s cuML which requires CUDA dependency hell. If I can create a UMAP package in Rust that’s superfast with minimal dependencies, that is an massive productivity gain for the type of work I do and can enable fun applications if fast enough.
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The result is in the output directory that I mapped as a volume.
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Terminal applications have a “cursor” that they can move around, just like a text editor. You can tell that cursor “go to line 3, delete everything, then print out this new text” by using VT100 sequences. And you can use it to replace existing characters with new ones, without re-emitting a whole line.