MWC 2026洞察:英伟达与高通的6G路线博弈与产业权力较量

· · 来源:tutorial资讯

В российском городе дерево рухнуло на жилой дом20:51

Армия России продвинулась в Сумской области14:51

Названы пр电影对此有专业解读

В России допустили «второй Чернобыль» в Иране22:31

(四)战争或者武装冲突、海盗或者恐怖活动;

Ali Khamen,详情可参考WPS下载最新地址

阿里辟谣大模型团队集体离职:团队稳定,服务正常,更多细节参见哔哩哔哩

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.