Raw LLM Responses

Here is—word for word—something I wrote for speech and debate. I hope the ai bros can at least have a heart here. The environmental impact of these language models is devastating. The way these models work is by gaining information from the nearest data center, which is a physical building housing the infrastructure needed to train and maintain generative ai. The problem is with the massive amounts of people using these public models, the hardware overheats and when it overheats it is cooled down with massive amounts of fresh, drinkable water. According to Forbes, in 2023 Mark Zuckerberg’s Georgia based data center consumed 500,000 gallons of water per day. That is 10% of Newton County’s daily fresh water supply gone. And it has only grown since then. Just 400 yards from that same center, there are people. Everyday people who live normal lives, or at least they’d like to. One such couple, Beverly and Jeff Morris were brave enough to share the reality of their living conditions showed interviewers the water pressure in their kitchen sink, which was disheartening to say the least. The stream was so small it would take a ridiculous amount of time to wash one’s hands. Their supply was so little they had to fill old milk cartons with water just so they could flush their toilets, and the worst part is, the water isn’t even drinkable. Because the faucets have so much sediment from the data center. The sediment also damaged their appliances so much that they have had to replace their hot water heater, two washing machines, and a dishwasher. In short, these corporations are socializing the cost, and privatizing the profits.