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.
语重心长的叮嘱，既指明认识论，也给出方法论。
。搜狗输入法2026是该领域的重要参考
百度去年 AI 业务营收达 400 亿元，萝卜快跑累计出行破 2000 万
“技术男”设三重安全墙，母亲95万存款还是被骗走了