Turns out Mastodon has way more active users than it thought

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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.

Turns out Mastodon has way more active users than it thought

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.

Turns out Mastodon has way more active users than it thought

Researchers worry that all this consumption could hurt water supplies given the chatbot’s enormous popularity.which has partnered with OpenAI for multiple years and billions of dollars and built supercomputers for AI training.

Turns out Mastodon has way more active users than it thought

Water footprint must be addressed as a priority as part of the collective efforts to combat global water challenges.

the water used to cool these data centers doesn’t just disappear into the ether but is usually removed from water courses like rivers.especially in the hospitality and food-service industries.

no one could mistake them for being intelligent.Smart robots will also be able to handle mucky jobs that.

Im referring to the management of software code supply chains.but theyre not equipped to repair factual errors -- or hallucinations.

Jason Rodriguezon Google+

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