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.
伯里表示，这是由于主要供应商台积电坚持要求签订更长期的合同，并以现金支付，以此作为建设满足英伟达最新芯片生产所需产能的条件。
，更多细节参见快连下载安装
这话说错了——人吃了 40 年的饭都未必有这么聪明。，详情可参考旺商聊官方下载
ranking at a glance.
numerous improvements. Among them was a new approach to peripheral connectivity