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Historically, LLMs have been poor at generating Rust code due to its nicheness relative to Python and JavaScript. Over the years, one of my test cases for evaluating new LLMs was to ask it to write a relatively simple application such as Create a Rust app that can create "word cloud" data visualizations given a long input text. but even without expert Rust knowledge I could tell the outputs were too simple and half-implemented to ever be functional even with additional prompting.

Opus 4.5: BalancedMost likely to name a specific tool (86.7%). Distributes picks most evenly across alternatives.

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* @param arr 待排序数组

(四)转让或者出租与纳税人机构所在地不在同一县(市、区、旗)内的不动产;

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“If there are three of you in the group, a response, if only an emoji, is almost expected,” Wesson said. “In group of 50 or more it is practically a criminal offense.”