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.
“科学技术部共承办901件建议提案，均已按时高质量办结。”科学技术部党组成员、秘书长潘晓东表示，近年来，科学技术部承办的建议提案数量保持高位，切实将代表委员的真知灼见转化为推动科技创新发展的政策举措。
。im钱包官方下载是该领域的重要参考
В России ответили на имитирующие высадку на Украине учения НАТО18:04
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