What comes to mind, reading these sentences? “The challenge is not technical but political(不是...而是...), requiring careful sequencing(仔细排序), clear communication, and sustained commitment(持续承诺).” Or: “Private ownership is not rewarding innovation but collecting a toll(收取通行费) on Victorian infrastructure(维多利亚时代基础设施) while deferring the investment(推迟投资) required to keep it functional. The technology has not changed. The ownership has—and the ownership is the problem.”
读这些句子时，你想到了什么？“挑战不是技术性的，而是政治性的，需要仔细排序、清晰的沟通和持续的承诺。”或者：“私人所有权不是在奖励创新，而是在对维多利亚时代的基础设施征收通行费，同时推迟维持其功能所需的投资。技术没有改变。所有权改变了——而所有权就是问题所在。”
Boredom first, probably. Policy writing can be sandpaper-dry(像砂纸一样干燥). But something else might stand out too, at least to anyone who often interacts with artificial-intelligence models like ChatGPT or Claude. Prose produced by those AI tools has a distinctive smell(独特气味). One telltale whiff(明显迹象/气味) is a love of contrasts(偏爱对比): “not technical but political”; “The technology has not changed. The ownership has”. Another is tricolons(三连结构/排比). Humans have long appreciated groups of three (Cicero(西塞罗) studded his speeches with them), but AI’s enthusiasm is superhuman(超人的): “careful sequencing, clear communication, and sustained commitment”. And then there are the em-dashes—everywhere.
首先很可能是无聊。政策写作可能像砂纸一样干燥。但还有别的东西可能会引起注意，至少对那些经常与ChatGPT或Claude等人工智能模型互动的人来说。这些AI工具产生的散文有一种独特的气味。一个明显的迹象是喜欢对比：“不是技术性的，而是政治性的”；“技术没有改变。所有权改变了”。另一个是排比（三句式）。人类长期以来都欣赏三连结构（西塞罗的演讲中充满了它们），但AI的热情是超人的：“仔细排序、清晰沟通、持续承诺”。然后是破折号——无处不在。
Readers today can do better than guesswork(猜测) and amateur stylometry(业余文体学), though. Over the past few years, AI detection technology has improved dramatically(显著提升). These tools use similar machine-learning techniques(机器学习技术) to AI models. Pangram, a market leader, boasts of a 0.01% false-positive rate(误报率). A study by researchers at the University of Chicago found it had a “near-zero(接近于零)” error rate on longer texts.
不过，今天的读者可以做得比猜测和业余文体学更好。过去几年，AI检测技术已经显著提升。这些工具使用与AI模型类似的机器学习技术。市场领导者Pangram声称其误报率为0.01%。芝加哥大学研究人员的一项研究发现，对较长文本的误差率“接近零”。