TruthArchive.ai - Related Video Feed

One ChatGPT query uses 10 times more energy than a Google search, equivalent to running a 5-watt LED for an hour. Creating an AI image consumes the same energy as charging a smartphone. Data centers built for AI are experiencing soaring emissions. In 2019, training one large language model was estimated to produce as much CO2 as five gas-powered cars over their entire lifespan. The aging power grid is struggling to support the energy demands of AI.

Experts have warned of a coming water crisis, possibly already spurring conflicts due to scarcity. While Earth appears to be a blue planet, 98% of its water is saline, with much of the fresh water locked in glaciers. The available fresh water is unevenly distributed, and reservoirs are being depleted. Big Tech's growing demand for water is exacerbating the problem, though this is intentionally kept secret. The speaker investigated Big Tech's water consumption and its potential disastrous consequences. This video you are watching is brought to you by water. Data centers, which host massive amounts of data, require vast amounts of water for cooling. An average data center consumes up to 5 million gallons of water daily, equivalent to the usage of 50,000 people in an American city.

An environmental lawsuit was just filed against the city of Lakeville over a potential hidden data center. Not to mention this is being built right next to Lakeville South High School. The Minnesota Center for Environmental Advocacy claims that the city violated state environmental law by conducting a review of a 1,360,000 square foot development without disclosing it's likely a data center. This matters because data centers have unique environmental impacts. The lawsuit points to 2,500,000 gallons of daily water use, noises from computers and ventilation, and a developer specializing in data centers as evidence that the city knew what this really was. MCEA wants the court to halt all development and require a full environmental impact statement.

The state of Louisiana has rolled out the red carpet for Meta and this data center. It's one of the biggest data centers on the planet. The site could fit 173 superdomes. It'll use enough electricity to power 2,000,000 homes. And Meta is only sharing in the costs for the first fifteen years of its operation. The majority of the details are being kept secret, meaning this very well could fuel higher electric bills for decades to come. The fourth wave of exploitation will be in your water and will come from your wallet. This is not a good deal for Louisiana, and it's not a good deal for anyone except Entergy and Meta. The first thing we can do is build understanding.

Big Tech companies often don't report off-site water usage, but Google, Microsoft, and Meta already withdraw as much water as two Denmarks combined through on-site and off-site operations. AI is projected to withdraw up to six Denmarks of water annually in three years. OpenAI's Sam Altman acknowledges AI's energy demand has surpassed expectations, potentially causing an energy crisis. Data centers consume water on-site for cooling and off-site for electricity generation. Manufacturing devices also requires vast amounts of water, especially in semiconductor plants that use millions of liters daily for cooling and ultra-pure water production. Water consumption numbers from these plants are obscure, but estimated to be immense. Water recycling could reduce usage, but isn't widely adopted. Discharged water from semiconductor plants is toxic, polluting local water resources. Mining is potentially the largest scope of water consumption.

Meta is building a two gigawatt data center in Mansfield, Georgia, a facility so large it could cover a significant part of Manhattan. These data centers power AI tools but come with costs, including environmental impacts and strain on the power grid. Residents Beverly and Jeff Morris, whose home is less than 400 yards from the data center, are experiencing issues with their water quality, including sediment. They feel overwhelmed by the infrastructure changes and believe Meta should be responsible for the costs, such as replacing fixtures and lines. Data centers are considered a "hot item," and this supercomputer is built to power Grok. The question is posed: What is the true cost of the AI revolution, and who should be paying for it?

Cloud providers are investing heavily in data centers to support AI. Microsoft, Meta, Google, and Amazon collectively spent $125 billion on data centers in 2024. These data centers require increasing power to train and operate AI models. Data center power demand is projected to rise by 15-20% annually through 2030 in the US due to the AI boom. The average data center, around 100 megawatts, consumes the equivalent energy of 100,000 US households.

Data centers use vast amounts of water for cooling, with an average center consuming up to 5,000,000 gallons daily. In 2022, Google, Facebook, and Microsoft used 1,500,000,000,000 liters for on-site cooling, and this usage is increasing, driven by AI; training GPT-3 evaporated 700,000 liters of water in Microsoft data centers. Data centers evaporate one to nine liters of water per kilowatt hour of server energy. Big Tech has allegedly concealed this information, treating water withdrawals as trade secrets, sometimes using shell companies. While they report direct cooling water consumption, they often omit the larger off-site water usage. In the US, 73% of electricity comes from thermoelectric plants that use water for steam and cooling, adding 3.1 liters of water consumption and up to 43.8 liters of withdrawal per kilowatt hour. Google, Microsoft, and Meta's combined water usage equals that of two Denmarks.

Bill Gates just last year in September created a deal with the 3 Mile Island Nuclear plant to reopen it just power Microsoft's data centers. You have the same thing going on with Google who's doing nuclear energy. I think they have a plant going up in Oak Ridge, Tennessee where the other nuclear incident happened. You have Amazon, they're building nuclear reactors at Hanford, and many other places. Meta just announced a twenty year deal as well with a nuclear facility for theirs. And so what you have is essentially they're they're going to be obviously absorbing all of this energy for themselves.

Speaker 0 discusses the public misunderstanding of what it means for humans to integrate with AI, noting that many imagine only using chatbots more, but the concept is a mixed reality existence where it’s hard to distinguish digital from real. They reference documents describing a future where people won’t leave their lounge rooms, with loved ones appearing as holograms and the sensation of hugging them in the skin, including dopamine and endorphin release, even though the contact is with a hologram. This is presented as part of a broader push into a digital world since COVID. Speaker 1 responds by connecting this to the idea of a societal digital nervous system, where everything is based on electricity and emotions, and life is governed by electrical processes like fight or flight. They describe a state-run institution in which AI would be the teacher, and emphasize that the spectrum of digital integration would form a pervasive nervous-system-like infrastructure. Speaker 0 calls the future horrific to contemplate and points to aggressive data-center expansion, NDAs shielding big tech from communities, aquifers being drained, and people losing access to water. They argue the situation will worsen as the push continues. Speaker 1 adds that the flooding in Texas highlighted the strategic importance of the Edward Aquifer and notes that many natural underground water stores are being taken over by the Army Corps of Engineers, the Department of Energy, and the Department of Commerce, with involvement from the Interior and State Department. They describe a broader pattern of resource control, mentioning the Tennessee Valley Authority and the involvement of the Department of Defense and the Army Corps of Engineers in a large-scale, fifteen-minute city grid, including water resources and nuclear power being confiscated. Speaker 0 warns that declaring national security needs could justify eminent domain, a notion Sam Altman has suggested in relation to AI, and asserts that this would normalize the appropriation of resources. They argue this is why legislative action is needed to protect communities and prevent such takeovers. The discussion expands to concerns about water poisoning through data-center pollution, EMF exposure, noise, health impacts, and other environmental harms accompanying the data-center push. Speaker 1 concludes by offering a personal course of action: a heartfelt recommendation to pray and to build a relationship with Jesus, stressing the importance of prayer and faith in navigating these concerns.

The IT industry relies on minerals like lithium and cobalt, and their extraction consumes massive amounts of water, causing pollution. As ore quality decreases and demand increases, extraction practices become more aggressive. The global demand for lithium is projected to rise 40 times by 2040. Disruptions like floods and droughts are forcing mining plants and factories to shut down. Big tech data centers, often located in drought-stricken regions due to incentives, are increasing pressure on water levels, leading to conflict with farmers and local communities. Big tech is competing for water with agriculture, which accounts for 70% of human water usage. The relentless push for AI adoption will multiply water consumption and energy demand, despite AI not being sustainable. AI-assisted searches consume up to five times more energy than conventional searches. Those pushing for AI adoption are often those who have invested heavily in it.

Demand for powerful servers in data centers is at an all-time high due to the Internet's need for cloud computing. The cloud is not somewhere else, but is a physical presence. Data centers are essential for streaming, social media, photo storage, and especially for training and running chatbots like ChatGPT, Gemini, and Copilot, which require significant data. The generative AI race is causing data centers to be built rapidly, increasing the demand for power to run and cool them. If the power problem is not addressed, the strain could limit the potential of this technology.

Because the plan is to cover the whole planet with this to produce enough power for these data centers. I don't think this is really a one for one swap on the positive side for humanity to cover our entire planet with this to to divert power when there's so many other ways to do it, you know? We can't get clean coal technologies. Only pure spring water slash artesian water slash deep well water punching into aquifers will work. So the call is once they get the electrification route from Eritrea, Ethiopia down through Tanzania, you're gonna watch a bunch of AI data centers pop up along there and they're gonna tap all those sandstone aquifers beneath to get that water. No data center left behind.