AI's Impact on Earth
This is a London news story, published by Science News, that relates primarily to CO news.
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AI energy useScience News
•Technology
Technology
How much energy does your AI prompt use? It depends
82% Informative
Large language models (LLMs) produce up to 50 times more CO emissions than others.
They're deployed in massive data centers across the world.
The second half of the model ’s life cycle is inference, which happens every time a user prompts the model.
The environmental impact of a single query can vary dramatically depending on which data is routed to power the data center.
Using a 70 -parameter reasoning model DeepSeek R1 to answer 600,000 questions would emit as much CO as a round-trip flight from London to New York .
Using AI less frequently during the daytime or summer , when power demand spikes, can also make a difference.
VR Score
84
Informative language
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Neutral language
35
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informal
Language
English
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46
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Attention-grabbing headline
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Time-value
long-living
External references
9
Source diversity
8
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