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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.

去南極的工作機會又來了,详情可参考快连下载安装

违反治安管理所得的财物,追缴退还被侵害人;没有被侵害人的,登记造册,公开拍卖或者按照国家有关规定处理,所得款项上缴国库。

当地负责同志向总书记介绍:千百年来广济桥就“广济百粤之民”,但真正实现这个夙愿、让群众安居乐业的是中国共产党。

持续增强市场内在稳定性