Home

About Us

Fake News

Advisors

Submit Stories

Subscribe

MIT climate justice advocates demand AI energy rationing

Artificial Intelligence data centers are consuming an ever-larger share of our nation’s limited energy budget. This is happening just as NetZero policies are rendering electrical grids increasingly unstable, putting people of color at risk.

According to the MIT Sloan Management Review “A single ChatGPT query can generate 100 times more carbon than a regular Google search.”

It is becoming apparent to even the most corrupt securities analysts that the unregulated megacorporations running Large Language Models (LLMs) are totally unconcerned about generating profits. They appear ready to pour hundreds of billions of dollars into AI systems until a miracle occurs that will allow them to use the resulting superintelligence to take over the earth. Hence, some other method must be found to curb their energy appetites so marginalized communities don’t freeze to death in the dark.

To protect our most vulnerable citizens, climate justice advocates at MIT are demanding the establishment of a federal energy rationing program.  This will distribute a monthly Guaranteed Minimum Energy Allocation (GMEA) to every SNAP recipient, who can either use their allocation certificate to pay their electricity bill or sell their certificates to a new GMEA exchange market being set up by Blackrock.

AI corporations will be required to use purchased GMEA certificates if they wish to buy electricity in excess of their Office of Energy Justice and Equity established fairness allocation.

“Energy poverty is the new Jim Crow,” explained Dr. Sophista Scelestus, MIT’s Climate & Sustainability Consortium spokesperson. “This new rationing policy and GMEA certificate exchange program guarantees that no one will be left behind when humanity becomes enslaved to intelligent machines.”

0 Comments

Leave a Reply

Discover more from The Babbling Beaver

Subscribe now to keep reading and get access to the full archive.

Continue reading