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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.
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台灣自1980年代開始引進外籍移工，目前人數達85萬人，主要來自印尼、菲律賓、泰國與越南。這套聘僱制度長期依賴跨國仲介系統運作，費用不透明導致工人深陷債務。