Life-sized human plastic waste sculpture on display
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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.
「但張又俠的問題並非一夜之間，」亞洲協會政策研究所中國政治研究員牛犇（Neil Thomas）在發給BBC中文的電郵中表示，多年來傳言不斷的張深陷政治漩渦。他長期掌管解放軍裝備採購系統——這正是腐敗醜聞的「震中」。前「副手」李尚福倒台，幾位前秘書被查，勝利日閱兵被邊緣化。種種跡象早已浮現。張又俠的清洗，與其說是晴天霹靂，不如說是一場緩慢醞釀的醜聞終於爆發。，更多细节参见搜狗输入法2026
Вячеслав Агапов
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