食環署2026年1月底宣佈向立法會提交討論文件，提出初步立法框架，形式為在現有禁止狗隻條文中加入賦權條文，讓食環署批准個別餐館容許狗隻進入，並稱期望能在年中簽發「500至1000個」牌照加註。
中國商業聯合會直播電商委副會長、網經社電子商務研究中心主任曹磊向BBC中文表示，監管層面應「利用AI監測私域直播關鍵詞，通過區塊鏈存證技術強制直播內容存檔備查；建立穿透式監管機制，通過大數據分析資金流識別異常交易」。平台層面需「嚴格審核商家資質，開發私域場景監測工具，提供『一鍵舉證』功能簡化消費者維權流程」。行業層面應建立黑名單制度，「對違規主體跨平台聯合封禁」。
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Many people reading this will call bullshit on the performance improvement metrics, and honestly, fair. I too thought the agents would stumble in hilarious ways trying, but they did not. To demonstrate that I am not bullshitting, I also decided to release a more simple Rust-with-Python-bindings project today: nndex, an in-memory vector “store” that is designed to retrieve the exact nearest neighbors as fast as possible (and has fast approximate NN too), and is now available open-sourced on GitHub. This leverages the dot product which is one of the simplest matrix ops and is therefore heavily optimized by existing libraries such as Python’s numpy…and yet after a few optimization passes, it tied numpy even though numpy leverages BLAS libraries for maximum mathematical performance. Naturally, I instructed Opus to also add support for BLAS with more optimization passes and it now is 1-5x numpy’s speed in the single-query case and much faster with batch prediction. 3 It’s so fast that even though I also added GPU support for testing, it’s mostly ineffective below 100k rows due to the GPU dispatch overhead being greater than the actual retrieval speed.
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«(Скандальная) европеизация нашего ядерного сдерживания, о которой Макрон объявит в понедельник, является частью этого плана войны против России», — написал он.
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