dChan - Q Origins Project Archive

Anonymous ID: 61662d Sept. 3, 2025, 3:30 p.m. No.23544813 🗄️.is 🔗kun >>4822 >>5069

the beast shall come. it is written.

>comply with the assailant

while they're cutting pieces off of you with a machete, or they decide to leave no witnesses or maybe they just want to kill you for fun?

These government officials are psychotic.

topest kek

>>23544860

>>23544867

Anonymous ID: 61662d Sept. 3, 2025, 3:51 p.m. No.23544884 🗄️.is 🔗kun >>4905

>>23544882

surf n turf

>>23544883

>but reform does NOT mean slash & burn which is what is happening at @CDC. We need the CDC! Premier agency

reform means getting your dangerous ass out

>>23544914

watch the water

2023 study by researchers from the University of California, Riverside, and others estimated that 5–50 ChatGPT queries (using GPT-3) consume about 500 mL of water, including indirect usage like cooling for power plants. Scaling this to 100 queries, assuming a midpoint of 25 queries per 500 mL, suggests 2 liters for 100 queries. For GPT-4, a 2024 study reported that generating a 100-word response consumes about 519 mL. If 100 queries each produce a 100-word response, this could mean 51.9 liters for 100 queries.

Anonymous ID: 61662d Sept. 3, 2025, 4:03 p.m. No.23544934 🗄️.is 🔗kun >>4942

>>23544926

he probably knows where Barack Obama really came from and how he got the Illinois Senate seat. Probably the real reason he was sent to prison.

>>23544936

Closed-loop systems: Studies and industry reports suggest that closed-loop cooling systems lose 10–30% of water due to evaporation and blowdown. For example, a 2023 report on data center water usage estimated that evaporative cooling towers lose about 1–2% of circulated water per cycle, with blowdown accounting for another 0.5–1%. Over time, this can add up to 20–30% of total water not being recirculated.

>>23544942

where?

he is a C_A construct with a fake family.

>>23544950

>>23544960

Water Usage for Meta’s Hyperion Data Center (Louisiana)

Water Consumption: The Hyperion data center, designed to support AI workloads, is expected to be a massive facility with a power capacity of up to 5 gigawatts. According to reports, large AI-focused data centers like Hyperion can consume millions of gallons of water per day for cooling. For context, typical data centers use around 500,000 gallons daily, but hyperscale AI facilities could require up to 6 million gallons per day, as noted in a 2025 Engadget article citing water permit applications in similar projects.

Cooling Systems and Recirculation: Meta has transitioned to advanced cooling methods, such as Air-Assisted Liquid Cooling, which uses water for direct-to-chip cooling at a supply temperature of 30°C. Meta’s sustainability data indicates a Water Usage Effectiveness (WUE) of 0.20 liters per kilowatt-hour (L/kWh), significantly better than the industry average of 1.8 L/kWh. This suggests efforts to optimize water use, likely involving closed-loop systems where 70–90% of water is recirculated, with losses of 10–30% due to evaporation and blowdown (purging to manage water quality), as discussed in general data center practices.

Water Loss: Assuming Hyperion uses 6 million gallons daily (22.7 million liters), with a 20% loss rate (typical for closed-loop systems), approximately 1.2 million gallons (4.54 million liters) could be lost daily to evaporation or blowdown. The remaining water would be recirculated or discharged as wastewater, potentially treated for reuse depending on local infrastructure.