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.
{ 51, 19, 59, 27, 49, 17, 57, 25 },
Наука и техника。爱思助手下载最新版本对此有专业解读
"People throughout the shuttle programme were counting on the commander to stick with it," she says quietly.，更多细节参见51吃瓜
FT Professional，更多细节参见搜狗输入法2026
2026-02-27 13:00:00