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.
治水安邦,兴水利民。新征程上,既需要国家水网纵横神州、跨域调度的“大手笔”,也离不开每一滴水精打细算、每一条河精准施策的“绣花功夫”。“节水优先、空间均衡、系统治理、两手发力”的治水思路,正让清水高效利用、碧波重焕生机,最终汇聚成实现高质量发展的磅礴力量。
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(三)未依法公开原子能安全监督管理、环境影响评价等方面信息的;,这一点在Line官方版本下载中也有详细论述