揭示网页智能体的能耗代价，呼吁透明化与专用能效评估
Towards Sustainable Web Agents: A Plea for Transparency and Dedicated Metrics for Energy Consumption
- 分析不同设计思路对网页智能体能耗的影响
- 发现部分智能体能耗高达数百千瓦时/月，差异显著
- 适合关注AI可持续性与绿色计算的研究者
大型语言模型的发展正转向构建能调用外部工具并解析输出结果的网络智能体，使其可自主与互联网交互，成为处理重复性任务的高效助手。然而，当前研究对智能体的可持续性关注不足。本文首次量化分析了网页智能体的能源消耗与碳排放成本，发现不同设计范式导致能耗差异巨大。同时指出，因缺乏对模型参数和运行过程的透明披露，难以准确估算能耗。因此，论文呼吁在评估智能体时引入专门的能耗与可持续性指标，推动绿色人工智能发展。
原文摘要 · Abstract (English)
Improvements in the area of large language models have shifted towards the construction of models capable of using external tools and interpreting their outputs. These so-called web agents have the ability to interact autonomously with the internet. This allows them to become powerful daily assistants handling time-consuming, repetitive tasks while supporting users in their daily activities. While web agent research is thriving, the sustainability aspect of this research direction remains largely unexplored. We provide an initial exploration of the energy and CO2 cost associated with web agents. Our results show how different philosophies in web agent creation can severely impact the associated expended energy. We highlight lacking transparency regarding the disclosure of model parameters and processes used for some web agents as a limiting factor when estimating energy consumption. As such, our work advocates a change in thinking when evaluating web agents, warranting dedicated metrics for energy consumption and sustainability.
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