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.
Green: Board stuff
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3014249410http://paper.people.com.cn/rmrb/pc/content/202602/27/content_30142494.htmlhttp://paper.people.com.cn/rmrb/pad/content/202602/27/content_30142494.html11921 全国人民代表大会常务委员会公告
昨日，魅族科技方面发布公告进行回应。其表示，公司未来将进行战略转型，找到一条让自身健康经营和持续创新的道路：，更多细节参见safew官方下载