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.
（一）应税交易的购买方为自然人；
。关于这个话题，搜狗输入法2026提供了深入分析
（二）移动、损毁国家边境的界碑、界桩以及其他边境标志、边境设施或者领土、领海基点标志设施的；
Филолог заявил о массовой отмене обращения на «вы» с большой буквы09:36