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.
据人民财讯报道，昨天，华为董事长梁华在 2026 广东省高质量发展大会上透露，2025 年华为销售收入超过 8800 亿元人民币。。业内人士推荐WPS下载最新地址作为进阶阅读
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Pokémon GOTo celebrate 30 years of Pokémon, the popular Pokémon GO mobile game will see the return of a "huge range of Pokémon" that have previously appeared in the game.，详情可参考safew官方版本下载
# .env.1password — safe to commit, contains no secrets