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.
User warnings for applications that are directly installed (or “sideloaded”)
这5年，全国上下同心协力、迎难而上，圆满完成过渡期各项目标任务，牢牢守住了不发生规模性返贫致贫的底线。摆脱绝对贫困、持续巩固拓展脱贫攻坚成果，极不平凡、极不容易。新时代减贫治理，成为中国之治的生动实践。
await dropNew.writer.write(chunk3); // silently dropped
Tan, who works in communications, regularly jumps on the site for skincare advice, to view reactions to shows she watches, such as The Traitors, and for help planning her upcoming wedding in May.