The International Energy Agency predicts that the energy consumption associated with data centers, cryptocurrency, and artificial intelligence could double by 2026, equivalent to Japan's electricity usage.
In the digital age, unseen processes powered by AI impact our lives, requiring materials like plastics and metals with real-world costs.
Generative AI, such as OpenAI's GPT-3, demands significant energy for training and operations, contributing to environmental concerns.
AI's energy costs are distributed and lack transparency, with generative AI using 30 to 40 times more energy than traditional AI approaches.
Data storage, model training, and continuous AI model operation all contribute to the energy-intensive nature of AI technologies.
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