Category: ai ecologies
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In a recent paper titled “Making AI Less “Thirsty”: Uncovering and Addressing the Secret Water Footprint of AI Models,” […] researchers from the University of Colorado Riverside and the University of Texas Arlington [find that] training GPT-3 in Microsoft’s US data centers can directly consume 700,000 liters of freshwater — equivalent to what it takes…