AI差点骗过全世界,这个8.7万赞的帖子被揭穿后,我开始怀疑一切了
UberUber(US:UBER) 36氪·2026-01-12 09:30

Core Viewpoint - The article discusses a recent incident involving a purported whistleblower from a food delivery platform, which turned out to be an AI-generated hoax, highlighting the challenges of verifying information in the age of AI [4][6][23]. Group 1: Incident Overview - A user claiming to be a software engineer from a food delivery platform alleged that the company manipulates algorithms to harm consumers and delivery workers [5][8]. - The allegations included tactics such as delaying regular orders to make paid priority orders appear faster and charging a "regulatory response fee" to lobby against driver unions [8][10]. - The whistleblower claimed the platform uses a "Desperation Score" to categorize drivers based on their willingness to accept low-paying orders, which affects their access to higher-paying jobs [8][10]. Group 2: Investigation and Verification Challenges - A journalist contacted the whistleblower for more information, but inconsistencies in the whistleblower's communication raised suspicions about the authenticity of the claims [14][19]. - The whistleblower provided a document claiming to be from Uber's market dynamics team, which contained detailed descriptions of the alleged practices, but also included irrelevant information about regulatory evasion [16][18]. - AI detection tools later confirmed that the employee ID provided by the whistleblower was likely generated or edited by AI, raising further doubts about the legitimacy of the claims [20][24]. Group 3: Broader Implications of AI in Information Verification - The article emphasizes that the rapid advancement of AI tools has made it easier for fraudsters to create convincing false narratives, increasing the difficulty for journalists to verify information [23][25]. - The phenomenon of deepfakes and AI-generated content is leading to a growing distrust in information, as the public may begin to view all information as potentially deceptive [26][28]. - The article concludes that the evolution of deepfake technology is contributing to a future characterized by uncertainty and skepticism towards factual information [28].