In any DISCUSSION about the human qualities that will matter to employers in an AI-inflected(受人工智能影响的) future, a few traits recur: taste, judgment, empathy, expertise. One of these bingo-card words(宾果卡上的词（指热门词汇）) is curiosity. Curious people are more likely to explore the contours of new technologies, runs the argument, and to master new skills.(论点认为，好奇的人更可能探索新技术的轮廓，并掌握新技能。) If you want a workforce that is capable of adapting to rapid change, inquisitiveness(好奇心，求知欲) is a superpower.
在关于人工智能影响下未来雇主看重哪些人类品质的任何讨论中，总有几种特质反复出现：品味、判断力、同理心、专业知识。其中一个像宾果游戏卡上常被点到的词就是好奇心。论点认为，好奇的人更可能探索新技术的轮廓，并掌握新技能。如果你想要一支能够适应快速变化的劳动力队伍，那么好奇心就是一种超能力。
It’s almost impossible to be against curiosity—which explains why job candidates tend not to brag about being totally uninterested in the world around them.(几乎不可能有人反对好奇心——这解释了为什么求职者往往不会吹嘘自己对周围世界完全不感兴趣。) But when everyone agrees on something, it’s usually worth wondering if there’s another side to the story(事情的另一面).
几乎不可能有人反对好奇心——这解释了为什么求职者往往不会吹嘘自己对周围世界完全不感兴趣。但当所有人都认同某件事时，通常值得想一想事情是否还有另一面。
True, curiosity has lots of benefits. Intellectual curiosity is predictive(预测的，有预测力的) of academic success, according to a meta-analysis(元分析，荟萃分析) by Sophie von Stumm of the University of York and her co-authors. Inquisitiveness helps learning. A study by Matthias Gruber of Cardiff University and his colleagues found that people have better recall of information that they were eager to find out about (and even of things they had learned incidentally when they were in a state of heightened curiosity).(卡迪夫大学马蒂亚斯·格鲁伯及其同事的一项研究发现，人们对他们渴望了解的信息记忆更好（甚至对他们在高度好奇状态下偶然学到的东西也是如此）。)
诚然，好奇心有很多好处。根据约克大学索菲·冯·施图姆及其合著者的一项元分析，求知欲能预测学业成功。好奇心有助于学习。卡迪夫大学马蒂亚斯·格鲁伯及其同事的一项研究发现，人们对他们渴望了解的信息记忆更好（甚至对他们在高度好奇状态下偶然学到的东西也是如此）。