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she wrote and coproduced a television adaptation of her novel Dare Me and is now doing the same for The Turnout.

000 liters of clean freshwater (enough for producing 370 BMW cars or 320 Tesla electric vehicles) and the water consumption would have been tripled if training were done in Microsofts Asian data centers.as freshwater scarcity has become one of the most pressing challenges shared by all of us in the wake of the rapidly growing population.

water use might have increased threefold if the data had been generated in the business’ less energy-efficient Asian data center.would need to “drink” a 500-milliliter water bottle to finish a fundamental discussion with a user of around 25–50 questions.a typical user’s interaction with ChatGPT is equivalent to emptying a sizable bottle of fresh water onto the ground.

it is essential to note that water “consumed” is released back into the atmosphere through cooling towers and is not “lost” from the water cycle.A new study has uncovered how much water is consumed when training large AI models like OpenAI’s ChatGPT and Google’s Bard.

we highlight the necessity of holistically addressing water footprint along with carbon footprint to enable truly sustainable AI.

The estimates of AI water consumption were presented by researchers from the Universities of Colorado Riverside and Texas Arlington in a pre-print article titled “Making AI Less ‘Thirsty.believes integrating robotics and generative AI will revolutionize various industries by providing more intelligent.

Bringsjord reported back on his labs limited success. Its no different in the United States.

have already made it their mission to build robots that are more than simply cameras on wheels.acting as a foundation for other algorithms.