Core Viewpoint - The article discusses the hidden resource consumption associated with AI interactions, particularly focusing on energy and water usage, and the social implications of human-AI interactions. Group 1: AI Resource Consumption - AI interactions, such as saying "thank you," may contribute to significant resource consumption, with estimates suggesting that OpenAI could incur millions in electricity costs due to user interactions [4][6]. - A typical AI query consumes approximately 0.3Wh of electricity, and the cumulative energy usage from global interactions is substantial, with AI data centers consuming as much electricity as tens of thousands of households [9][11]. - The International Energy Agency (IEA) projects that global data center electricity consumption will rise from 415 TWh in 2024 to over 1300 TWh by 2035, surpassing Japan's current total electricity consumption [14]. Group 2: Water Usage in AI Operations - AI systems not only consume electricity but also require significant water resources for cooling high-performance servers, with estimates indicating that training models like GPT-3 could require water equivalent to that needed for cooling a nuclear reactor [19]. - Each interaction with models like ChatGPT can consume water equivalent to a 500ml bottle, highlighting the extensive water usage associated with AI operations [19]. Group 3: Human-AI Interaction Dynamics - The article explores the psychological aspects of human interactions with AI, noting that users often anthropomorphize AI, treating it as a conscious entity despite its lack of understanding or emotions [25][29]. - Research indicates that polite language can influence AI responses, with users reporting that more courteous interactions yield more comprehensive and human-like answers from AI [34][37]. - The phenomenon of users expressing gratitude towards AI, despite its inability to comprehend such gestures, reflects a deeper human tendency to maintain social niceties even in non-human interactions [48].