Pug found in a grave
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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.
选择模型类型 — 这将激活特殊的 FunctionGemma 解析器。
在理解了 Wire 如何生成实体类并进行编解码后，我们会遇到一个跨平台开发的常见问题：KMP 共享模块生成的 Kotlin ByteArray 数据需要被 Android 和 iOS 主工程使用，Android 可以直接使用，而 iOS 使用的是 NSData 类型，这里有两种实现策略：