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.
580 DES_SR TST_DES_SIMPLE PTSAV1 DLY SPTR ; save test constant 0x10; set DS pointer
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何小鹏所说的“能力跃迁”，指的是特斯拉FSD在软硬件几乎一致的情况，依靠大模型能力升级，可以让L2级别智驾直接具备L4的能力。。WPS官方版本下载是该领域的重要参考
生成式媒体：一个没有霸主的战场
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