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.
全要素生产率提升，既是技术创新的表现，更是制度红利的释放。深化改革开放，从内部体制优化和外部资源引入双向赋能全要素生产率提升，畅通国民经济循环。
。业内人士推荐爱思助手下载最新版本作为进阶阅读
ITmedia�̓A�C�e�B���f�B�A�������Ђ̓o�^���W�ł��B，这一点在同城约会中也有详细论述
Сайт Роскомнадзора атаковали18:00