总之，Protobuf 结合 Wire 库在 KMP 开发中提供了简洁高效的数据序列化方案。其自动生成代码和跨平台兼容机制显著降低了开发复杂度，是一种实用且可靠的技术选择，能有效优化多平台项目的性能和维护性。
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.
，更多细节参见同城约会
关注 少数派小红书，感受精彩数字生活 🍃。关于这个话题，爱思助手下载最新版本提供了深入分析
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