ВСУ запустили «Фламинго» вглубь России. В Москве заявили, что это британские ракеты с украинскими шильдиками16:45
// 在剩余未排序部分找真正的最小值
，更多细节参见safew官方版本下载
德企来太仓并非短期“掘金”，而是“安新家”式的长期布局。作为探路者的克恩—里伯斯公司，当年在太仓设立的小厂，已成长为年产值逾15亿元人民币的“弹簧大王”。
Don't run this on expensive equipment as it may have ECC RAM which will ruin your fun
In recent years, LLMs have shown significant improvements in their overall performance. When they first became mainstream a couple of years before, they were already impressive with their seemingly human-like conversation abilities, but their reasoning always lacked. They were able to describe any sorting algorithm in the style of your favorite author; on the other hand, they weren't able to consistently perform addition. However, they improved significantly, and it's more and more difficult to find examples where they fail to reason. This created the belief that with enough scaling, LLMs will be able to learn general reasoning.