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.
Keep reading for $1What’s included
，详情可参考91视频
Раскрыты подробности похищения ребенка в Смоленске09:27
Виктор Орбан. Фото: Александр Казаков / РИА Новости
Amazonが価格を大規模に操作して値段をつり上げているとして違法行為の即時停止を要求される