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.
朝新在陡峭的山坡上说，秭归脐橙绝大多数长在我脚下的山坡地，根本不能走车，果子全靠人背出山。一筐100斤的果子从山上背下来，或者从山洼地背上来，一趟就需要半个多小时。
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Reporting from, 利維尼奧
The costing estimates do not include time officials spend preparing and appearing as witnesses in person.
testSort(mergeSort, "Merge", arr, N);