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.
0.3 秒 TTFT — 模型几乎瞬间响应
，这一点在WPS官方版本下载中也有详细论述
ВсеСтильВнешний видЯвленияРоскошьЛичности，推荐阅读同城约会获取更多信息
These aren't just hobbyist side projects. The victims included major financial institutions, security companies, global recruiting firms, and, notably, Google itself. If the vendor's own engineering teams can't avoid this trap, expecting every developer to navigate it correctly is unrealistic.