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.
精彩一周即将到来。一切从北京时间下周一晚间，拉开序幕！。关于这个话题，91视频提供了深入分析
，更多细节参见safew官方版本下载
"But when I came for the first time in 2025 - I didn't really have that much of an issue," she said.。业内人士推荐heLLoword翻译官方下载作为进阶阅读
// console.log(canSeePersonsCount([5,1,2,3,10])); // 输出 [4,1,1,1,0]（正确）