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Recent analysis reveals that ChatGPT's energy consumption per query is significantly lower than previously thought. While earlier estimates suggested around 3 watt-hours, new findings indicate an average of just 0.3 watt-hours, comparable to many household appliances. This shift in understanding highlights the importance of accurate data in discussions about AI's environmental impact.
The analysis by Epoch AI emphasizes that as AI technology advances, energy demands may increase, particularly with the introduction of more complex reasoning models. OpenAI's ongoing development of power-efficient models like o3-mini aims to address these concerns, but the overall infrastructure expansion for AI could still lead to higher energy consumption. Users are encouraged to consider their AI usage patterns to minimize their energy footprint.
• New analysis shows ChatGPT consumes less energy than previously estimated.
• Future AI models may increase overall energy consumption despite efficiency gains.
Energy consumption refers to the amount of power used by AI models during operation.
Reasoning models are advanced AI systems that require more computing power to process complex tasks.
Power efficiency measures how effectively an AI model uses energy to perform tasks.
OpenAI develops advanced AI models like ChatGPT and focuses on improving their energy efficiency.
Epoch AI conducts research on AI energy consumption, providing insights into its environmental impact.
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