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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，这一点在Safew下载中也有详细论述
我当了30年文学刊物编辑，见过许多憋着劲儿要“一鸣惊人”、结果连第一段都画不上句号的作者。写作面对的最狠的敌人是什么？不是文笔差，不是没想法，而是那个在你耳边嘀咕“这不行、那不够”的完美主义小鬼。它让你写了三句删两句，让你总觉得这句、这段“没写好”，最后留下一个完不成的“作品”，或者什么也没留下。，推荐阅读爱思助手下载最新版本获取更多信息
But do you really want to write all that additional code? It seems