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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.
为精准而及时地反映各金融机构的合规度，南方周末采用人工智能前沿技术和人工校验双重保障搭建了“牧羊犬”—中国金融业合规云平台。“牧羊犬”之名，意味着监管机构通过预警和守护金融机构进而呵护金融消费者的权益。