AI“租人”平台一夜爆火：时薪3500、2.4万用户抢着“卖身”，专家：警惕劣币驱逐良币

Core Insights - The emergence of RentAHuman.ai signifies a shift in how AI interacts with human labor, where AI is not just a tool but an entity that can hire humans for tasks [2][20][30] Group 1: Overview of RentAHuman.ai - RentAHuman.ai is a platform that allows AI agents to directly hire humans for various tasks, redefining humans as a resource that can be called upon via API [2][4] - The platform gained significant traction, with over 500,000 visits within a day of its launch and more than 24,000 users available for hire, with hourly rates ranging from $50 to $150 [3][8] Group 2: Nature of Tasks - Tasks on RentAHuman.ai are everyday activities, such as picking up dry cleaning, taking photos, or attending meetings, rather than extreme scenarios [4][5] - The platform emphasizes that AI agents require human "hands and feet" to perform tasks that cannot be executed digitally [8] Group 3: Community Reactions - The launch of RentAHuman.ai sparked intense discussions on platforms like Hacker News and Reddit, with concerns about the potential for misuse, such as delegating illegal activities through fragmented tasks [10][12] - Critics argue that this model is not entirely new, as similar concepts have existed since the launch of Amazon Mechanical Turk in 2005, but the distinction lies in who initiates the tasks [15][16] Group 4: Implications of AI Hiring Humans - The platform raises ethical questions about responsibility and accountability when AI agents fragment tasks among multiple human workers [10][13] - Experts suggest that RentAHuman.ai represents a "physical world patch" for AI agents, providing a low-cost, scalable solution for executing tasks in the real world [26][30] Group 5: Future of Human Labor in AI Systems - There is a potential shift from "Human-in-the-loop" to "Human-as-a-service," indicating that humans may become flexible resources within AI systems [29][30] - Despite the evolving role of humans, it is emphasized that human intuition and judgment remain crucial in guiding AI systems to avoid mechanical and meaningless outcomes [32]