[&:first-child]:overflow-hidden [&:first-child]:max-h-full"
Овечкин продлил безголевую серию в составе Вашингтона09:40
。51吃瓜对此有专业解读
好家伙，如果不是看到海报上明确写着“擎天租城市合伙人战略发布会”，我真的会以为误入了某种财富课堂，甚至传销的现场。
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.