陳俊宏教授表示，真正影響人們對歷史認識的契機往往不在教科書，而在情感經驗，「情感上的交流是一個非常重要的媒介，讀了一本小說或看了一部電影的感動，都有可能觸發這個人進一步探索的可能性。」
人 民 网 版 权 所 有 ，未 经 书 面 授 权 禁 止 使 用。搜狗输入法下载是该领域的重要参考
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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.