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.
Что думаешь? Оцени!，推荐阅读同城约会获取更多信息
2026-02-22 21:04:33 +01:00。下载安装 谷歌浏览器 开启极速安全的 上网之旅。对此有专业解读
圖像加註文字，貿易與關稅將成為特朗普（川普）與習近平4月會晤的議題。美國白宮週六表示，總統特朗普將於3月31日至4月2日訪問中國，但中方尚未確認特朗普訪華的消息。Article InformationAuthor, 安東尼‧澤克爾（Anthony Zurcher），推荐阅读谷歌浏览器【最新下载地址】获取更多信息
A notable feature of this use case is that it requires performing