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.
The Dutch love four-day working weeks, but are they sustainable?
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Раскрыты подробности похищения ребенка в Смоленске09:27
这种效果在物理学上被称为「朗伯余弦定律」（Lambert’s Cosine Law），其核心特征就是无论从哪个角度观察，屏幕的亮度看起来都是一样的。
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63-летняя Деми Мур вышла в свет с неожиданной стрижкой17:54
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