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backend systems. Ultimately, as so often happens, it may have been IBM's success
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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.
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数据作为新型生产要素，已快速融入生产、分配、流通、消费和社会服务管理等各环节。在各类应用场景中，数据通过协同优化、复用增效和融合创新，持续释放其资源价值，为生产方式、生活方式和社会治理方式带来了全方位变革。