Part 2/11:
AI, particularly large-scale models utilized in Natural Language Processing (NLP) and Machine Learning (ML), demands an astonishing amount of energy to function. As it burgeons in popularity, so does its thirst for resources—electricity, metals for server construction, and water for cooling. Despite the efficiencies AI might present from a labor perspective, the reality is stark: these digital systems consume energy at a rate that rivals some of the most energy-intensive industries, including cryptocurrency mining.