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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第一百三十八条 公安机关及其人民警察不得将在办理治安案件过程中获得的个人信息，依法提取、采集的相关信息、样本用于与治安管理、查处犯罪无关的用途，不得出售、提供给其他单位或者个人。，推荐阅读safew官方下载获取更多信息
30 years of Pokémon: The memes that made it immortal