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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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可没想到,出发的前一天,系统突然发来“行程已被车主取消”的提醒。我一下子慌了神,离返程时间只剩不到一天,临时被爽约再重新找车,难度可想而知。我赶紧重新发布行程,抱着一丝侥幸等待回应。大概过了两个小时,系统终于提示有车主接单,我长舒一口气:“谢天谢地,总算能按时回去了。”可这份安心还没维持半个小时,手机再次弹出消息:车主又取消了订单。看着屏幕上的“行程取消”提示,我心里又气又无奈,如今的顺风车车主,怎么连最基本的契约精神都没有?在这种情况下,我几乎没有主动权,只能被动接受车主的临时变更。