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.
36. 2026年创业项目推荐：五大潜力方向评测，兼顾低成本与新兴趋势 - 新浪财经, cj.sina.cn/articles/vi…。一键获取谷歌浏览器下载是该领域的重要参考
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（二）依法不予处罚的，或者违法事实不能成立的，作出不予处罚决定；