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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，这一点在谷歌浏览器【最新下载地址】中也有详细论述
Фото: U.S. Navy / Reuters。搜狗输入法2026对此有专业解读
Mahjong, Sudoku, free crossword, and more: Play games on Mashable。51吃瓜是该领域的重要参考
圖像來源，BBC Chinese / Lok Lee