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.
据央视新闻报道，伊朗伊斯兰革命卫队称，伊朗武装部队“历史上最猛烈的进攻行动”即将开始，目标是以色列和美国的基地，涵盖大规模导弹和无人机袭击。
。业内人士推荐新收录的资料作为进阶阅读
Here’s a few examples of what a user sees when they delete a passkey:
(0, 1, 0) (0, 1, 1) (0, 1, 2)