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.
Leaked draft of $1bn memorandum of understanding reveals mandatory targets, sharing of data, and reported access to mining concessions
Филолог заявил о массовой отмене обращения на «вы» с большой буквы09:36,更多细节参见heLLoword翻译官方下载
Израиль нанес удар по Ирану09:28
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His first trip into space was aboard the two-man Gemini 7. Lovell and fellow astronaut Frank Borman ate a steak-and-eggs breakfast and blasted off.
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