以下文章来源于金错刀 ，作者云摇 金错刀 . 科技商业观察家。爆品战略提出者。 作者： 云摇 来源：金错刀 最近网上流行一个热梗： 要去大户家当丫鬟。 ---------------------------------- 这个梗的源头是奔驰裁员，采用了N+6+3+2+年终的小众赔偿方式，直接馋哭所有牛马打工人。 然而打工人的悲欢并不相通，奔驰大气裁员的时候，有不少人却在经历断崖式失业： 有人上午还在上班，下午老板就通知撤店； 有人刚交完房租，三天后只能被迫撤离。 去年全国关店3.9万家，闭店率达5.7%， 有机构预测今年还会继续关店6-10万家。 与其他行业的惨淡不同，两年前的药店还是开一家赚一家的黄金赛道，曾被誉为" 永不落幕的朝阳 产业 "。即使到现在，街边的药店仍比便利店和奶茶店还多，100米内能开出5家。 谁也没想到短短1年时间，药店便跌落神坛，就连行业龙头们也难以独善其身。 有"国内最大药店"之称的国大药房，一年半时间里关闭了近20%的门店；山东老字号漱玉平民药 店，股东一年减持四轮，有董事更是一把套现1.4亿离场；广东万店药企大参林的创始人更是身陷 囹圄。 去年还疯狂赚钱的药店生意，为何突然凉透了 ...

Core Viewpoint - The increasing use of AI health assistants among the elderly raises concerns about their ability to effectively filter misleading health information and provide reliable guidance, especially regarding "miracle drugs" and health rumors [2][3][13]. Group 1: AI Health Assistants Evaluation - A recent evaluation by Southern Metropolis Daily and Nandu Big Data Research Institute assessed 10 AI health assistants, including 5 general models and 5 specialized models, focusing on their ability to identify and correct health rumors [2][3]. - The tested AI health assistants generally performed well in recognizing health rumors and providing chronic disease management advice, but some failed to identify the exaggerated claims of "miracle drugs" [2][9]. - Specific models, such as Tongyi Qianwen and Quark Health Manager, incorrectly classified certain products as having scientific support for their efficacy, highlighting a reliance on promotional content rather than objective analysis [9][10]. Group 2: Misleading Health Claims - The evaluation identified several controversial products, such as "Can South Star Oral Liquid" and "Acid Friend Probiotic," which have been previously flagged for false advertising [3][4]. - Many AI models based their responses on promotional materials rather than authoritative sources, leading to potentially misleading conclusions about the efficacy of these products [10][12]. - The majority of AI health assistants were found to reference promotional content without consulting more credible sources or expert opinions, raising concerns about the reliability of their guidance [9][10]. Group 3: Rumor Correction and Chronic Disease Management - Despite shortcomings in identifying "miracle drugs," the AI health assistants demonstrated a high ability to recognize and correct common health rumors, using authoritative sources for analysis [13][14]. - The evaluation included specific inquiries about symptoms related to chronic diseases, where AI models provided structured guidance and recommendations based on the nature and risks of conditions like vascular plaque [14][15]. - Some specialized models offered additional services, such as connecting users to online consultations with doctors, enhancing the depth of their health management capabilities [14][15].