当AI变得越来越好用，该不该对它说谢谢？

都市快报02-12

2月10日，#不要对AI说谢谢#登上微博热搜首位。如果你还有印象，去年OpenAI创始人阿尔特曼就曾提醒过用户，不要对AI说谢谢。但实际上，当多数AI应用采用对话框的形式和用户互动，用户得到想要的结果时还是会顺手打出“谢谢”二字。这个频率比你想的要高。此前，百度就有数据显示，“谢谢”是用户与文心一言对话中最常用的词汇之一，全年出现了上千万次。国外调研机构YouGov在2025年的调查也发现，83%...

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it?","themeId":null,"isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"89888":0.6,"09888":1.86,"BIDU":1.86},"content_text":"2月10日，#不要对AI说谢谢#登上微博热搜首位。如果你还有印象，去年OpenAI创始人阿尔特曼就曾提醒过用户，不要对AI说谢谢。但实际上，当多数AI应用采用对话框的形式和用户互动，用户得到想要的结果时还是会顺手打出“谢谢”二字。这个频率比你想的要高。此前，百度就有数据显示，“谢谢”是用户与文心一言对话中最常用的词汇之一，全年出现了上千万次。国外调研机构YouGov在2025年的调查也发现，83%的AI用户会对AI说“请”或“谢谢”。问题在于，简单的一个“谢谢”也会占用计算资源。据《中国能源报》报道，一次“谢谢”与AI回复的完整交互，大约消耗0.0003度电。单看这个数字很小，但想象一下：如果有上亿用户每天都这么说，累积起来确实可观。阿尔特曼曾透露，处理“请”“谢谢”等日常礼貌用语，已成为AI服务运营中一项不可忽视的成本因素。这类交互每年为企业带来数千万美元的额外支出，主要源于计算资源调度及服务器持续运行所产生的能耗。从技术实现角度看，早期AI模型在响应此类对话时，往往需要调动数百个GPU计算单元。相关分析显示，单次礼貌交互所消耗的电力资源，相当于一部智能手机全年充电所需电量。这种资源消耗模式反映出AI技术发展初期存在的效率瓶颈：系统尚未建立精细化的资源分配机制，难以区分简单社交表达与复杂问题求解之间的差异。实际上，AI公司早就注意到这个现象并加以完善。现在的主流AI系统，比如文心一言、通义千问等，都已经做了针对性优化。当你说“谢谢”时，系统通常不会启动复杂的大模型计算，而是调用预设的友好回应。这有点像手机的快捷回复——既保持了交互的自然流畅，又大幅降低了计算成本。许多网友分享了自己为什么会和AI那么有礼貌的原因。比如“习惯了，就像对Siri说‘请’一样自然。”“觉得礼貌点，AI会不会更乐意帮我？”“是对自己的一种提醒——保持基本的礼貌，哪怕对方是机器。”橙柿互动·都市快报见习记者 朱婧瑀编辑 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