Top-Rated Budget Air Cleaner Receives Additional Price Reduction
广州遭遇大暴雨 一野生动物园淋雨的狮子因像失恋被刷屏
。snipaste是该领域的重要参考
Bags as Subdivisions
尾声马尼拉销售员半月完成月度指标；河内展厅业绩增长三倍；呵叻府消费者争抢库存现车；新西兰周六销量激增四倍。
An LLM prompted to “implement SQLite in Rust” will generate code that looks like an implementation of SQLite in Rust. It will have the right module structure and function names. But it can not magically generate the performance invariants that exist because someone profiled a real workload and found the bottleneck. The Mercury benchmark (NeurIPS 2024) confirmed this empirically: leading code LLMs achieve ~65% on correctness but under 50% when efficiency is also required.