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.
To catch any elements that somehow slipped through all of the above, I added capturing-phase event listeners as a belt-and-braces fallback:
。同城约会对此有专业解读
而据路透社报道，在本次协议曝光前，Meta 近期已在 AI 基础设施领域进行了多点布局与大规模采购。。91视频是该领域的重要参考
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