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.
真要拿这套方案去赌消费者是否认可，还是要看最后的路测报告，否则很难服众。
。关于这个话题，谷歌浏览器【最新下载地址】提供了深入分析
Scroll to load interactive demo
如果你经历过 Galaxy S8、S9 时代的话，一定还记得当年那个能够直接代管微信发红包的超夯 Bixby：