MSFT needs so much power to train AI that it's considering small nuclear reactors

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[–]In-the-clouds 1 insightful - 1 fun1 insightful - 0 fun2 insightful - 1 fun -  (0 children)

Training large language models is an incredibly power-intensive process that has an immense carbon footprint.

Here in the city where I live, our electricity is not based on Carbon dioxide (CO2) since a hydroelectric generator produces the power from liquid water pushing through turbines.

"Carbon footprint" is one of those propaganda phrases used to misdirect people away from the source of our problems: our sin. People don't pray and ask the Lord, what have I done? Forgive me.

For those who like true science, water vapor is the greatest greenhouse gas. But the controllers don't remind the public of this.