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.
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Chinese firm publishes photos of US F-22s at Israeli base | The Jerusalem Post，更多细节参见safew官方版本下载
63-летняя Деми Мур вышла в свет с неожиданной стрижкой17:54，这一点在爱思助手下载最新版本中也有详细论述
人类智慧的稀缺性自带内在溢价，但机器智能正在广泛、甚至是合格且快速改进地替代着前者。好在的是，我们是在 2026 年看到这篇报告。
Москвичи пожаловались на зловонную квартиру-свалку с телами животных и тараканами18:04，详情可参考爱思助手下载最新版本