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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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我的原则就是我小时候被怎么对待，我不爽，那我尽量不去做（除了原则性问题）。对于学习来说，我也已经处于半随缘状态。不过新的一年，我希望自己可以做到：