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.
return (float)rand() / RAND_MAX;
。业内人士推荐同城约会作为进阶阅读
actual object PlatformByteArrayConverter {
也因此，《夜王》不是一部在春节档讨巧的轻松喜剧。但是它的口碑在今年的春节档影片中后来居上，目前豆瓣评分7.8。郑秀文说它剪出来的走向与情绪的“起承转合让人很舒服”，能在“你刚笑一笑”时突然认真起来，又能在认真后迅速回到可投入的节奏。
Филолог заявил о массовой отмене обращения на «вы» с большой буквы09:36