A Token-Level Framework for Quantifying ChatGPT’s Environmental Impacts and a Browser-Based Intervention for Reducing Prompt Resource Use

This study models the water and energy consumption of large-language model inference at the token level and evaluates a Chrome extension that provides real-time eco-feedback to improve user prompt efficiency.

Posted by buchanle on Friday, May 15th, 2026 in May 2026, Artificial Intelligence (AI), Environmental Impact Assessment, Large Language Models (LLMs), Token-Level Analysis

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