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.
记者 Mark Gurman 称，新机型将配备灵动岛以及 OLED 屏幕，整体外观仍延续现有 14 英寸与 16 英寸 MacBook Pro 的设计语言。
。Line官方版本下载对此有专业解读
基金會表示：「最終，我們未與愛潑斯坦展開任何合作，也沒有成立任何基金。基金會從未向他支付任何款項，他也從未以任何形式受僱於基金會。」，详情可参考WPS官方版本下载
./build/parakeet_bench --110m=models/model.safetensors --markdown