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.
Ранее в Сингапуре крыса упала с потолка торгового центра в суп к посетительнице ресторанного дворика.。关于这个话题，搜狗输入法下载提供了深入分析
Publication date: 10 March 2026，推荐阅读同城约会获取更多信息
Филолог заявил о массовой отмене обращения на «вы» с большой буквы09:36，更多细节参见heLLoword翻译官方下载