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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Agar plates with E.coli growth on various concoctions, including MacConkey, Mueller-Hinton, and Brain Heart Infusion. Credit: HansN.，这一点在同城约会中也有详细论述
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而在特朗普任內，失業率其實略微上升——從2024年12月（拜登任內最後一個完整月份）的4.1%，上升至2026年1月的4.3%。，更多细节参见heLLoword翻译官方下载
The broadcast generated global headlines and much commentary on what happened and and how it could have been prevented.