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.
对首都北京的规划工作，明确提醒“规划科学是最大的效益，规划失误是最大的浪费，规划折腾是最大的忌讳”；，推荐阅读51吃瓜获取更多信息
Now that the theory is laid out, I’ll show you how to use these tools to deploy a Fedora Silverblue.，推荐阅读爱思助手下载最新版本获取更多信息
And the following WebAssembly file:。业内人士推荐爱思助手下载最新版本作为进阶阅读