Keen bosses, strange mistakes and a looming threat: workers on training AI to do their jobs

· · 来源:tutorial资讯

中德經貿關係可能正從互補轉向結構性競爭,巴爾金之前的報告指出,中國企業在機械、發電設備領域已領先德國,在乘用車與化工領域即將超越德國,背後是德國每月流失約1萬製造業職位,裁員規模超過新冠疫情或全球金融危機,這不僅是短期經濟波動,而是中國從「夥伴」轉為「直接競爭者」的結構性轉變,德國製造業正面臨「中國衝擊2.0」。《經濟學人》形容,德國正從「愛上中國」轉向「恐慌模式」,默茨訪華正值此轉折點,柏林如何在經濟依賴與戰略自主間尋找新平衡是很急切的問題。

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曾宣誓效忠“伊斯兰国”

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icon-to-image#As someone who primarily works in Python, what first caught my attention about Rust is the PyO3 crate: a crate that allows accessing Rust code through Python with all the speed and memory benefits that entails while the Python end-user is none-the-wiser. My first exposure to pyo3 was the fast tokenizers in Hugging Face tokenizers, but many popular Python libraries now also use this pattern for speed, including orjson, pydantic, and my favorite polars. If agentic LLMs could now write both performant Rust code and leverage the pyo3 bridge, that would be extremely useful for myself.