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.
Овечкин продлил безголевую серию в составе Вашингтона09:40
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(一)违反国家规定,侵入计算机信息系统或者采用其他技术手段,获取计算机信息系统中存储、处理或者传输的数据,或者对计算机信息系统实施非法控制的;
这个价位段的车型,普遍还在使用骁龙 8155。把一颗旗舰芯片下放到这个价位,体验上的提升是很明显的,不仅 3D 车控模型的帧率更稳,交互的响应速度也会更快,未来两三年内的升级潜力也会更大。