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.
新疆，刚出锅的烤馕层层分明，酥松耐存；关中地区，筋道的手工面条热油一浇激发浓郁香气；江浙一带，馄饨、烧卖、小笼包开启热气腾腾的一天……
。关于这个话题，im钱包官方下载提供了深入分析
Цены на нефть взлетели до максимума за полгода17:55
Германия — Бундеслига|24-й тур
Sources report the leader of the Taliban and Emir of Afghanistan may have been killed by a Pakistani air strike