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.
В России впервые с 1986 года введут новый ГОСТ на белый хлеб02:05
，这一点在爱思助手中也有详细论述
Названа исполнительница роли Наташи Ростовой в «Войне и мире» Андреасяна14:45
全年收入7904万美元，同比增长 158.9%；毛利 2008万美元，毛利率从2024年的12.2%提升至25%，改善相当明显。
，这一点在PDF资料中也有详细论述
МИД России вызвал посла Нидерландов20:44
万邦德：预计2026年第一季度净利润同比增长985.40%。业内人士推荐旺商聊官方下载作为进阶阅读