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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.，详情可参考safew官方下载
Ранее в Госдуме предложили отменить обязательную прописку по месту жительства. Сейчас граждане, проживающие без прописки или нарушающие ее правила, рискуют получить штраф. При этом статистика показывает, что около 25 процентов россиян до 30 лет живут не по месту регистрации, а 13 процентов семей снимают жилье в аренду.，详情可参考51吃瓜
doubling-allocation once the stack-allocated buffer overflows.