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Overestimating AI's water footprint

Researchers need to be more careful about the inputs into their models. Overestimates undermine the goal of reducing the environmental impact of IT.

Paper Notes - The world wide web of carbon

Will we ever be able to accurately assess the carbon footprint of IT? Could a relational footprint methodology be more useful? Paper notes on Pasek et al (2023).

Influencing the carbon emissions of AI

There is a correlation between the training time and energy consumption, but that doesn’t mean there is a correlation between training time and carbon emissions.