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.
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2026-02-27 00:00:00:0周珊珊3014251010http://paper.people.com.cn/rmrb/pc/content/202602/27/content_30142510.htmlhttp://paper.people.com.cn/rmrb/pad/content/202602/27/content_30142510.html11921 一针一线织出锦绣山河（人民论坛）。关于这个话题，同城约会提供了深入分析
The Taliban do not have the upper hand militarily, but are experienced in guerrilla and unconventional warfare
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