圖像加註文字，2025年11月29日，巿民在宏福苑附近公園擺放鮮花悼念罹難者，一張紙張上寫著：「要檢討的不是竹棚，而是制度」。公共專業聯盟創會主席、資深工程師黎廣德建議，港府可以採用過往巿區重建模式，按既定程序及框架為居民進行需求評估及釐定收購價錢。
As a data scientist, I’ve been frustrated that there haven’t been any impactful new Python data science tools released in the past few years other than polars. Unsurprisingly, research into AI and LLMs has subsumed traditional DS research, where developments such as text embeddings have had extremely valuable gains for typical data science natural language processing tasks. The traditional machine learning algorithms are still valuable, but no one has invented Gradient Boosted Decision Trees 2: Electric Boogaloo. Additionally, as a data scientist in San Francisco I am legally required to use a MacBook, but there haven’t been data science utilities that actually use the GPU in an Apple Silicon MacBook as they don’t support its Metal API; data science tooling is exclusively in CUDA for NVIDIA GPUs. What if agents could now port these algorithms to a) run on Rust with Python bindings for its speed benefits and b) run on GPUs without complex dependencies?
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Трамп высказался о непростом решении по Ирану09:14
In Web streams, creating a simple producer/consumer pair requires TransformStream, manual encoding, and careful lock management: