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  For this reason, Dauner suggests users be more straightforward when communicating with AI models. Specify the length of the answer you want and limit it to one or two sentences, or say you don’t need an explanation at all.
  
  Most important, Dauner’s study highlights that not all AI models are created equally, said Sasha Luccioni, the climate lead at AI company Hugging Face, in an email. Users looking to reduce their carbon footprint can be more intentional about which model they chose for which task.
  
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  Why it’s hard to measure AI’s environmental impact
  Putting a number on the environmental impact of AI has proved challenging.
  
  The study noted that energy consumption can vary based on the user’s proximity to local energy grids and the hardware used to run AI models.
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  One way AI companies could be more transparent is by disclosing the amount of carbon emissions associated with each prompt, Dauner suggested.
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