[사설]2년 만에 꺾인 강남·용산 집값… 아직 갈 길 멀다
美國參議員柯爾絲頓・吉利布蘭德（Kirsten Gillibrand）週四批評，把Anthropic列為供應鏈風險，是「短視、自我打擊，也是送給我們敵人的禮物」。
。新收录的资料是该领域的重要参考
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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