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.
В ЦБ объяснили снижение ставки на фоне выросших ценЗаботкин: Для принятия решений по ставке Центробанку важна устойчивая инфляция，这一点在WPS官方版本下载中也有详细论述
投资 50 亿元，刘强东宣布造游艇，更多细节参见同城约会
So far, there's no evidence that it has the planes or the capability to launch airstrikes deep into Pakistan.，更多细节参见51吃瓜