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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.
距离:孩子还小,离家近是核心指标,接送方便,也能让孩子多睡一会儿。所以方圆一公里范围成了主要选择点。,推荐阅读搜狗输入法2026获取更多信息
2025 年总营收 1291 亿元,同比下降 3%;AI 业务营收 400 亿元;
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Unlike IBM, Diebold made it successful.
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