This is an automated archive made by the Lemmit Bot.
The original was posted on /r/artificial by /u/NuseAI on 2024-05-11 10:25:39+00:00.
- 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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