reSee.it - Related Video Feed

- Indianapolis residents organized to stop Google's proposed $1,000,000,000 AI data center on a 500-acre site, which reportedly would have used 1,000,000 gallons of water per day. Google withdrew its petition to build, preventing a city council vote. Community members described the victory as “we beat Google,” while warning the fight isn’t over and noting tactics used by a secretive tech company in Saint Charles, Missouri. Residents voiced fears about water supply, contamination, and rising electricity costs, with one farmer stressing the risk to livelihoods if water is unavailable. - The victory was celebrated as a win for community power, though participants cautioned that Google could reappear with a new plan in a few months. The broader context included concerns that big tech seeks data centers in communities, potentially impacting water and energy prices, and the possibility of revisiting projects once opposition fades. - An NPR overview on America’s AI industry highlighted concerns about data centers depleting local water supplies for cooling, driving up electricity bills, and worsening climate change if powered by fossil fuels. The IEA warns climate pollution from power plants serving data centers could more than double by 2035. In the Great Lakes region, water utilities, industry, and power plants draw from a shared resource; questions arise about how much more water the lakes can provide for data centers and associated power needs. - Examples cited include Georgia where residents reported drinking-water problems after a nearby data center was built; Arizona cities restricting water deliveries to high-demand facilities. The Data Center Coalition notes efforts to reduce water use through evaporative cooling versus closed-loop systems; a Google data center in Georgia reportedly uses treated wastewater for cooling and returns it to the Chattahoochee River. There is a push toward waterless cooling, with a balancing act described: more electricity to cool means less water, and vice versa. - Rising electricity bills are a major concern as data centers increase power demand. A UCS analysis found that in 2024, homes and businesses in several states faced $4.3 billion in additional costs from transmission projects needed to deliver power to data centers. The dialogue includes questioning why centers aren’t built along coastlines where desalination could be used at the companies’ own expense, arguing inland siting imposes greater resource strain on residents. - Financial concerns extend to tax incentives for data centers. GoodJobsFirst.org reports that at least 10 states lose more than $100,000,000 annually in tax revenue to data centers; Texas revised its cost projection for 2025 from $130,000,000 to $1,000,000,000 within 23 months. The group calls for canceling data center tax exemption programs, capping exemptions, pausing programs, and robust public disclosure. - The narrative concludes with a call to resist placing data centers in established communities, urging organized action and advocating for desalination and energy infrastructure funded by the data centers themselves. A personal anecdote about Rick Hill’s cancer recovery via Laotryl B17 and enzyme therapies is tied to a promotional plug: rncstore.com/pages/ricksbundle, discount code pulse for 10% off, promoting Laotryl B17 and related detox/purity kits.

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.

The video documents a drive through rural farmland in Indiana to a growing AI data center. The area is described as “super rural,” with miles of farmland and few signs of life until the data center lights appear, creating a noticeable intrusion in an otherwise empty landscape. The narrator notes the drive covers “30 plus miles, maybe more of nothing but just beautiful rural farmland,” and expresses strong emotion about returning to this area after a year away. As the video continues, the scenery remains rural and expansive, with mentions of semi trucks and cement trucks on the way to the site. The narrator highlights the emotional impact of the development, stating, “the first time I drove this, it genuinely made me so emotional because I haven't been this way. I haven't left town in, like a year.” The content hints at a pause in filming near a small parking lot or staging area before continuing along the corridor toward the project. A key claim is that the Meta AI data center is being built on this farmland, consuming “beautiful farmland that we will never be able to replace.” The narrator emphasizes the contrast between the large land use for the data center and the relatively small number of jobs it will create, stating that it will “only employ one to 500 people,” which the speaker finds startling. The final sentiment underscores the perceived imbalance between the considerable land impact and the limited employment opportunity, describing the situation as “pretty fucking insane.” The video ends after confirming the path to the data center and the ongoing construction.

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?

The speaker explains that understanding the digital control grid requires grasping three parts: programmable money, digital IDs, and a supporting hardware infrastructure. First, programmable money is presented as the most important element. The speaker argues that guardrails are needed to prevent programmable money from interfering with “financial freedom.” Second, programmable money is said to depend on a digital ID. The speaker claims they fought against digital IDs and lists excuses used to justify them, including online safety, vaccinations, election fraud, and immigration. The speaker says tight borders existed before digital technology and asserts there is no need for digital IDs. According to the speaker, proponents want a high-quality, globally interoperable digital ID in order to implement a “third lock,” and that digital IDs are required for that third lock. Third, the speaker says the final requirement is hardware infrastructure. They describe this as increasingly visible in America, citing FLAC cameras, drones overhead, and large data centers. The speaker references an approval of a data center in Utah described as 63 miles wide or long, with an estimate that full capacity would use three times more energy than the entire state of Utah currently uses. They add that the United States has approximately 4,500 data centers, while China has about 368, claiming the U.S. has more than ten times as many despite having a much smaller population. The speaker connects these data centers to collecting data and implementing the “third lock,” not only on American citizens but also on people worldwide who have stable coins or trade digital tokens. The speaker concludes that as hardware becomes more present and visible, more people—especially young people—start objecting and pushing back, saying they do not want to be part of it.

- The speaker argues that data centers are expanding globally despite claims of an energy crisis, describing this growth as dangerous and indiscriminate. Project Matador in the Texas Panhandle is highlighted as potentially the largest data center, planned up to 18,000,000 square feet (about 6,000 acres) and reportedly using up to 96,000,000,000 kilowatts of electricity per year. Conservative figures are used for illustration. Texas residential electricity use is stated as approximately 172,000,000,000 kilowatts annually, meaning Matador could consume roughly 55–65% of all Texas residential electricity, with hundreds more centers either operating, under construction, or planned in the state (87 in operation, about 135 under construction, and a pipeline of over 600 planned). - The video cites reports of data centers destroying communities nationwide and worldwide. A segment about Meta’s new AI data center in Richland Parish, Louisiana, is presented: the center is 4,000,000 square feet and 2,250 acres (roughly 70 football fields). Residents describe rising rents due to out-of-state workers, disruption to local businesses, constant noise and bright lights, and a halo over homes. The speaker notes that the area has long faced job and poverty issues, and while some view the AI center as an economic opportunity, the disruption is described as significant and ongoing. - A conservative view is attributed to the Louisiana report, followed by the speaker’s own assertion that AI data centers will drain water and energy, potentially enabling a “smart city” agenda that renders rural areas unlivable and pushes populations to cities. The speaker suggests rural communities may be targeted as part of a broader strategy. - The discussion moves to Utah, where the Stratos project is described as rivaling Matador in scale. Jason Basleronex (the speaker’s reference) describes a proposed largest hyperscale data center in Box Elder County, Utah (approximately 40,000 acres, 62 square miles), backed by Canadian billionaire Kevin O’Leary and fast-tracked by Utah’s Military Installation Development Authority with Governor Spencer Cox. The public would be locked out of decision-making. The project is linked to anticipated 50% increase in CO2 emissions, polluted water, and 24/7 noise and light pollution. The implication is that the initiative operates as a military operation, with national security justification cited. - A clip from Noah B Price is cited to illustrate living near a data center: water usage of 5,000,000 gallons per day in a drought state, with residents unable to collect rainwater in some areas, constant roar, and destroyed property values. The clip is used to argue about the “AI future” and potential government abuse of technology, including references to a broad list of dystopian outcomes (social credit systems, programmable digital currency, cars controlled by tech, rural self-sufficiency eliminated, and gene-edited humans integrated with AI). The speaker suggests these are directions supported by certain tech and government actions. - The video concludes with a call for local communities to band together, elect representatives who oppose the agenda, and protect their communities as a sanctuary against the “eye of Sauron” at Palantir HQ. It frames the data-center expansion as a threat to rural living and a push toward an AI-driven, controlled future. - The message ends with an advertising note for Genesis Gold Group and a free wealth protection guide via dailypulsesilver.com, promoting gold and silver investment as a hedge.

The discussion focuses on what “Todd” and others want from cold fusion–related units: a device that can be set on a desk and run to generate heat, along with questions about feasibility and distance to that capability. One participant recalls a prior meeting at Google headquarters/grounds where a unit was operating, with photographs taken and “no press” present. They say many top science people were there, but no one else seemed to know anything, and the demonstration may have involved a turn-the-wheel type mechanism by Robert Goddard designed for that event. The point was that investors need to see something directly; simply looking at a static unit does not convey useful information because “you can’t see heat.” The group also notes difficulties with press access during COVID, describing scenarios where press people bypassed procedures but were still not allowed in because others could not get through. The speaker emphasizes they are discussing units available outside the company and want to be “the first to buy a unit.” The conversation then shifts to plans for showcasing technology for an audience: robots walking around, cold fusion devices being used, drones delivering smoothies, and experimenting with an old used EV battery as home storage after hacking it for storage. A participant says they could have sent updates by email or text but came in person to thank them because an event “changed things for the country.” They add that targets should not be put into emails. Regarding the technical and investment direction, the speaker refers to earlier expectations that the system would be “a hybrid boiler” generating electricity, contrasting that with investors wanting electricity “now.” They then cite Jensen Huang of Nvidia, who said the world needs “a thousand times more electricity than we have in the entire world to run AI,” and connect this to scale requirements: they say some data centers run at “one gigawatt of continuous,” while producing “one gigawatt of output from cold fusion requires some scale, a lot of scale, massive scale,” and would not be near that yet. They also note cold fusion would not match the energy density output of a gas turbine, and they describe a belief that it will not aim in that direction initially. Finally, they argue that the plans to power large data centers won’t work for a long time, specifically mentioning the “grid approach.” The speaker says the grid is already stressed and suggests the plans themselves are not harmonious with broader needs, implying that powering all these data centers is not expected to be feasible.

The transcript covers a wave of community pushback against surveillance and data-center developments, highlighting how residents are challenging authorities and big tech projects in their towns. - Surveillance cameras (Flock) controversy: The piece opens with cases suggesting that what’s marketed as public safety can be misused. A poster mentions Brandon Upchurch, whose license plate 7 was misread as 2 by flock cameras, leading to a police stop at gunpoint, a K-9 release, an arrest, and jail for a crime that didn’t exist. Andrew Kaufman notes flock cameras are being destroyed so fast that police in Kentucky are withholding their locations after the devices were released and promptly destroyed. The argument is that communities don’t want to be monitored and should have right to privacy; Flock cameras are going up across towns often without public input. In Pine Plains, New York, a resident saw a flock contractor install 12 cameras without town-board approval; the cameras were not installed, but the incident exposed contract-authorization confusion. The takeaway is to stay vigilant, talk to neighbors, attend town meetings, and make clear that surveillance is not desired. - Data centers: widespread, rapid pushback across multiple communities. The broader thrust is that communities are resisting data centers due to concerns about power, water use, land, privacy, and local impacts. - Utah – Provo data center rejection: Robert Bryce reports that Provo, Utah rejected a data center project, citing no city interest and concerns about power demand. He notes 53 data-center rejections or restrictions in the U.S. in 2026 so far (more than all of 2025). The proposed load was initially five megawatts, potentially up to 50 megawatts, which would strain the Utah Municipal Power Agency’s 415-megawatt capacity. - Additional examples of pushback: A video from New Jersey shows hundreds of New Brunswick residents celebrating a protest that led to the plans being canceled. Stark County, Indiana, enacted a twelve-month moratorium on data-center construction after sustained community pressure; a public meeting featured residents opposing the project and some calling for a total ban. Northwest Indiana residents voiced alarm about Big Tech’s data-center incursions and the AI agenda, arguing it would not benefit them and would affect electricity costs. In several counties (Indiana, Georgia, Missouri, Illinois, and beyond), moratorium measures or restrictions were adopted to pause or ban new proposals, with claims that capacity issues and local concerns justify stopping projects. - Apex, North Carolina: Over 100 Apex residents packed a town hall to oppose a data center proposal, citing strained power grid, massive water usage, wildlife disruption, and industrial noise. A community organizer, Melissa Ripper, led the Protect Wake County Coalition; Natelli Investment withdrew its applications, described as a “small victory.” - Tucson: Community members organized to reject a data center proposed by Amazon, citing drought and water-use concerns; the video emphasizes that Tucson became the first city to reject a massive data center proposal due to a large local uprising and distrust of assurances about water reclamation. - Kentucky landowners’ stand against offers: Ida Huddleston and her daughter Delsia Bear rejected multimillion-dollar offers from an anonymous tech company to build a data center on their land. Huddleston declined $60,000 per acre for 71 acres; Bear declined $48,000 per acre for 463 acres. The company behind the project has not been revealed, which adds to residents’ concerns about transparency. The proposed site is Big Pond Pike in Mason County, with claims the project would create 400 full-time jobs and more than 1,500 construction jobs, though Bear says many jobs may not materialize. - Closing sentiment: The speaker argues that “they simply cannot pull the wool over the eyes of a country folk,” noting the daughter’s rejection of $22,000,000 and Ida Huddleston’s insistence on staying put to protect her community, underscoring a broader theme of local resilience and community solidarity against large-scale, opaque projects.

Thomas Massey holds a high-ranking seat on the judiciary committee in Kentucky. The transcript claims that if he loses his election, Kentucky would lose that seat and, as a result, lose his position to effect change through the judiciary committee. It says that two weeks ago, during a judiciary committee session, a bill was introduced quietly and was about to pass unanimously. The transcript identifies it as the Protect American AI Act and claims it was supported on both sides of the aisle. It further claims that Massey “single handedly killed” the bill. According to the transcript, the bill would have granted immunity to data center developers for any harm they cause to communities. The transcript describes Massey’s action as unexpected and states that there is not a single article written about it. The transcript then claims that data centers “paid” to ensure nobody knew about Massey killing the bill, characterizing data centers as a hot button issue and saying they do not want anyone to know this outcome. It asserts that people believe data centers should not be able to build across the street, destroy home values, damage the water table, or poison children without accountability. Finally, the transcript argues that residents should be able to sue data centers to hold them accountable for harms they cause.

This segment juxtaposes everyday living with the expanding footprint of data centers and the perceived costs of the AI revolution. In the home, Speaker 0 demonstrates a high-pressure cold water line used for storage and filling tanks, noting that the water is needed for flushing toilets. Speaker 1 observes sediment in the water coming from the faucet and asks if that sediment comes from the data center, to which Speaker 0 confirms—“Yeah. And this is what's in all the pipes.” Speaker 2 adds that the well itself is likely “20,000” (units implied) and that this figure doesn’t include costs for replacing fixtures, faucets, toilets, and pipes underneath the house. The cumulative burden feels overwhelming, as Speaker 0 describes feeling up against a “huge wall that you can't penetrate” and a sense that “they don't care.” Turned outward, the report spotlights Meta’s new data center in Mansfield, Georgia: a 2,000,000 square foot facility intended to power AI tools such as ChatGPT and other technologies integrated into daily life. Data centers are described as a hot item and an exciting asset class, with Meta building a two gigawatt-plus data center so large it could cover a significant part of Manhattan. Yet this growth comes with significant costs: light and noise pollution, environmental impacts, and potential rises in energy bills. The facilities exert extraordinary demand on the power grid and require entirely new infrastructure. Speaker 0 voices concern that the burden should be borne by those responsible, not residents. Speaker 2 argues that large tech companies—Meta, Amazon, Microsoft—“can afford to pay for their own generation,” urging people to search their profits. The reporters pursued two central questions in Georgia: “What’s the true cost of the AI revolution, and who should be paying for it?” They note the proximity of a house to the data center—“less than 400 yards.” The profile then introduces Beverly and Jeff Morris, who purchased their home near downtown Atlanta in 2016, with deep roots in the community. Beverly characterizes country living as her peace and therapy, while Jeff notes he was raised about five miles away.

The discussion centers on why data centers are expanding so rapidly despite the claim that existing phone and television usage already relies on server storage. Participants cite large-scale developments such as Loudoun County, Virginia’s “never-ending” complexes and a proposed 40,000-acre AI data center campus in Utah described as “two and a half times larger than Manhattan,” with claims that Utah lacks water and that the data center would require more than double the current energy consumption of the entire state of Utah. The question raised is what is really happening behind this scale and where the collected information goes. One participant links the projects to “intel” involvement, pointing to companies said to include Palantir, Nvidia, and Abraxas, and to allegations that some of these firms received CIA investments to start, including staffing by retired senior CIA officers. This leads to questions about whether “the CIA [is] spying on our own people,” referencing Edward Snowden’s revelations and mentioning NSA’s and CIA’s surveillance of Americans. The conversation states that NSA’s charter includes a restriction that it may not spy on Americans, and notes that Snowden’s disclosures are described as the reason people “wouldn’t have any idea” without them. The Utah compound is described with a claim that it has enough memory storage for every phone call, every email, and every text message from every American for the next 500 years, prompting questions about why that amount of storage exists and why such facilities are “everywhere,” and what information they are collecting. The conversation shifts to personal protection, with a suggestion that it is “almost impossible now” and a recommendation that the only way to protect yourself is to “own no technology at all,” referencing Eric Rudolph or the Unabomber as examples. The participant further claims that governments and intelligence agencies are “scooping up” data and holding it, and contrasts earlier post-9/11 practices—where obtaining information required federal judges to approve warrants—with newer methods. The transcript claims that instead of warrants, the government can use “national security letters” to require providers to turn over all information on a named person, or can query the data centers directly by inputting a name so that information “pops up,” describing a lack of legal protections and stating that these actions are “legal now.” It concludes by naming the National Defense Authorization Act of 2016 (and National Defense Act of 2016 as referenced in the transcript) as the change that made this legal.

In a Mansfield, Georgia kitchen, the cold water pressure is shown while water is filled for storage. The transcript describes items used to fill water for flushing toilets and notes visible sediment coming from the water exiting the faucet. It also says the contents found in the pipes reflect sediment likely tied to the well source, stating that just the well itself is probably “twenty thousand,” not counting replacement of fixtures, faucets, toilets, and the lines underneath the house. The homeowner characterizes the situation as overwhelming, saying it feels like “up against this huge wall that you can’t penetrate,” with the impression that “they don’t care,” and that there is “nothing that you can do.” The scene shifts as the narrator drives by Meta’s new two million square foot data center facility in Mansfield, Georgia. The transcript explains that data centers power tools like ChatGPT and other AI tools integrated into daily life, and states that “this entire supercomputer is built to power Grok.” It adds that Meta is building a two gigawatt plus data center large enough to cover a significant part of Manhattan and that data centers are viewed as an exciting asset class. Concerns are raised about the costs of data centers, including light and noise pollution, environmental impacts, potentially rising energy bills, and extraordinary demand on the power grid requiring entirely new infrastructure. The narrator says data centers “should be responsible for that, not us,” and argues that Meta, Amazon, and Microsoft “can afford to pay for their own generation.” The narrator says they came to Georgia to ask two questions: the true cost of the AI revolution, and who should be paying for it. Beverly and Jeff Morris bought their home in 2016, about an hour’s drive from downtown Atlanta, and describe their deep community roots, saying being in the country provides peace and therapy and that they decided the home was “it” and “perfect.” Beverly says she was raised about five miles from the area. The house is described as being less than four hundred yards from the data center.

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.

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.

The speakers argue the United States is moving toward widespread surveillance and biometric control, describing a future where food shortages could lead to food rationing using biometrics—scanning a thumbprint at grocery stores to buy food. They connect planned technologies shown “on your timeline,” including modified flock cameras for human voice recognition, drones reading license plates from 800 feet altitude, RFID checking systems, and biometric systems, to a dystopian outcome they describe as combining “the worst parts of every Philip K Dick novel” into one direction. They respond to claims that people could use cash, stating that even cash purchases at Walmart can still generate digital records through cameras and email receipts, and that retailers are moving toward digital price tags amid inflation and currency value changes. They say they have been studying technocracy and point to data and examples they claim show growing surveillance nationwide, including in Ohio. They mention Clearview AI as being backed by Peter Thiel and say that in many states companies can access drivers’ license information and pictures. They also describe a “snitch based system” in Ohio where residents can be rewarded via a mobile app for reporting on fellow citizens, alongside flocked cameras. As an example tied to Ohio, they claim Jeffrey Epstein was co-president of a corporate town in Ohio created by Les Wexner, and that Ohio is a main corridor for AI data centers. The conversation then shifts to data centers. One speaker says some hyperscale data centers are approved under military designation, citing a Stratos Hyperscale Center in Utah said to be powering “nine gigawatts of compute,” and questions what is being done with that compute power. They also claim that in states such as Georgia or parts of Virginia, eminent domain is being declared to take private homes and bulldoze homes and farms to make room for corporate data centers, asking how a corporation can wield eminent domain and suggesting Pentagon involvement. In reply, the other speaker states the Pentagon is involved and argues against treating data centers as purely market-driven. They cite bills and a White House policy document on AI, claiming combined proposals would give the Department of Energy control over whether an AI model can be released, with a “go/no go” decision for AI models at certain sophistication levels. They also claim the secretary of commerce would be empowered to “snipe state law” and surgically shut down state regulations on AI. They say the secretary of commerce/FTC would control political bias by requiring an FTC process to determine whether AI is politically biased. They further say Lindsey Graham’s addition strips out section 230, removing legal limitations for platforms and allowing AI developers to be held personally liable. They conclude that this is a centralized federal model controlling steps end-to-end and that data centers rely on tax subsidies, describing “taxpayers funding the control grid.”

Speaker 0: Growth without restraint is driving corporate takeovers of physical space, water, power, land, and communities, with costs pushed directly onto people through their electric bills, water supply, property values, and quality of life. This is framed as enabling big tech to build the backbone of the AI economy, an economy described as planning to eliminate most jobs and most futures. Speaker 0 says the AI story is widely discussed online, including on X and Instagram. Speaker 0 rejects the idea that it is “the Chinese” pushing this, saying it is Americans asking what is happening in their communities—why electric bills are changing and why people are being forced off property—because some American oligarch wants to build a massive data center using more energy than the rest of the state. Speaker 1: Speaker 1 responds to Kevin O’Leary by saying Americans have concerns about noise pollution, light pollution, the use of local water, takeover of farmland, and destruction of local ecosystems, and that it is not foreign agents but American people who have the right to protect communities and resources. Speaker 1 argues that data centers threaten and displace local people and that they provide no benefit to the communities affected. The outcome is described as job replacement rather than job creation, with claims that people would face 24/7 noise from gas turbines and a gigawatt of power without receiving an “utopia” of abundance. Speaker 1 says the result includes noise, pollution, taking water, destroying real estate value, and taking jobs. Speaker 1 identifies himself as an accomplished AI developer who supports AI technology when used “for humanity,” but calls the data center effort “a threat to humanity.”

There are over three thousand data centers currently under construction or announced worldwide. The United States has the largest number, with many in Virginia, increasingly more in Texas, and also locations such as Phoenix and California. If all planned projects come online, the additional power consumption worldwide would exceed a terawatt. The speaker questions the intended use of the compute, saying it is far more capacity than exists today. They argue this level of compute is consistent with “managing a technocratic state,” citing needs for AI systems for surveillance and for areas such as healthcare, including predictive modeling (referencing “Operation Stargate”). They further claim that the “most offensive” example is a proposed technocratic reconstruction of Gaza, described as involving six AI-powered smart cities with surveillance systems. They state that Gaza is proposed for with USD1, described as a Trump family stablecoin and “a backdoor CBDC,” and that Palantir and Oracle are involved. They say the plan was presented at Davos, with Jared Kushner involved, and that it is not merely a sketch but a business plan. In response to the follow-up about the scale, the speaker highlights a data center in Utah said to be two and a half times larger than Manhattan, and describes other large facilities as comparable to tens of thousands of Wal-marts, with many additional data centers on hundreds of acres. They say they run a mini data center with 48 GPU workstation units and believe a single server rack of GPUs could do “amazing things,” making them unable to understand why “millions of server racks” are needed to run a technocratic society. The other speaker replies that a large portion of proposed data centers may be canceled or paused, and emphasizes that AI is sometimes treated as “vaporware” or unreal. They assert there is a bubble and overcapacity in AI compute buildout, stating that developers build compute power under the assumption that AI models will operate the same way. They reference DeepSeek as a breakthrough but say the broader assumption remains that more compute will be required for models to function similarly, while innovations in how models work continue. They conclude that some data center construction will remain unused and that companies building them may go out of business due to overbuilding, even if AI development continues.