林淑如觀察，近期因台美關稅影響，中南部許多業者景氣不佳。在推動「零付費政策」或其他改善措施時，若倡議方式不當，可能使議題演變為台灣人與外籍移工之間的對立。她認為，政府應更清楚向產業說明現狀，並提供誘因，例如增加移工配額或產業輔導，改革應循序漸進。
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.
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Comparison of Python nndex to numpy on test workloads.topk_overlap measures result matches (perfect match) and max_similarity_abs_delta measure the largest difference between calculated cosine similarities (effectively zero).