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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По ее словам, спортсмен сражался как лев. «Я даже не знаю, какой марафон его больше вымотал бы», — добавила Рок.
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报道指出，按 5500 亿美元的最新估值测算，此次交易定价较去年字节跳动官方股票回购时的 3300 亿美元估值大幅增长 66%，并较去年 11 月二级市场老股转让时的 4800 亿美元估值溢价约 15%。