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.
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[단독]폴란드, 韓 해군 최초 잠수함 ‘장보고함’ 무상 양도 안받기로，更多细节参见safew官方版本下载
（二）非法买卖、运输、携带、持有少量未经灭活的罂粟等毒品原植物种子或者幼苗的；
В стране ЕС белоруске без ее ведома удалили все детородные органы22:38