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.
第八十条 制作、运输、复制、出售、出租淫秽的书刊、图片、影片、音像制品等淫秽物品或者利用信息网络、电话以及其他通讯工具传播淫秽信息的，处十日以上十五日以下拘留，可以并处五千元以下罚款；情节较轻的，处五日以下拘留或者一千元以上三千元以下罚款。
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22:24, 27 февраля 2026Мир
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Absent entirely. Framework-native routing preferred