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.
热闹是真的，但落地比所有人想象的都难。
。搜狗输入法2026是该领域的重要参考
第四十四条 国家网信部门统筹相关部门和网络运营者采取技术措施和其他必要措施，阻断来源于中华人民共和国境外的违法信息。
В России ответили на имитирующие высадку на Украине учения НАТО18:04
从以往的职业经验来看，郭锐十分善于同年轻消费者同频共振，知道用户需要什么。