reSee.it - Related Video Feed

Speaker 0 describes Flock cameras, which are automatic license plate readers. This is not Palantir; it is a separate company, with multiple companies attempting to do this. The cameras are set up to look at a car and pick up the make, model, and license plate, as well as details like dents in the door and bumper stickers. A few months ago, Home Depots and, more broadly, stores around the country are using this technology in their parking lots, so if you drive to a Home Depot, you’re on that database somewhere. The use of this technology extends beyond retail parking lots: HOAs have contracts with Flock cameras; assisted living facilities and similar establishments are involved; police departments and municipalities are using it for traffic purposes. There is, therefore, a growing dragnet of license plate scanning. There is some controversy about this on the internet. In the speaker’s opinion, Flock cameras could be modified in their software to also recognize facial features. There’s no reason why they wouldn’t, and why they couldn’t. However, they are probably the types of cameras that are farther back; you might need better optical quality at range. The speaker believes it would be easy for them to modify, and that once they have the agreement in place, it would be easy to produce another camera.

Break a little bit of news on your program, Jesse. Our partners that do sort of geotagging with devices, they told us that they tracked over 277,000 devices in the vicinity of State Farm Stadium in Glendale, Arizona. 277,000. That's unbelievable. Gives you an idea of the scale of humanity out there.

Two of the largest private surveillance networks in America have formed a partnership. Amazon's Ring and Flock Safety have officially joined forces, and the collaboration is presented as a move that could change how surveillance data is accessed and used. The partnership is described as enabling Ring and Flock to interconnect their systems in a way that expands the reach of video data in public and semi-public spaces. The summary asserts that the AI-powered cameras used to track vehicles on the street can now request video from neighbors' Ring doorbells. In practical terms, this means the street-level cameras could obtain footage from front-door devices, effectively creating a link between street surveillance and doorbell cameras. The result is characterized as “one massive searchable surveillance network for the police,” implying broad access to footage for investigative or monitoring purposes. The claim is that this development is not hypothetical. Four0four Media reportedly documented that ICE (Immigration and Customs Enforcement) and the Secret Service already have access to Flock's network. With Ring entering the mix, the network is said to be poised to gain millions of additional camera endpoints, further expanding the pool of video data available for review by authorities. The transcript recalls Ring’s regulatory history, noting that Ring had been fined $5,800,000 by the FTC because its employees were reported to have spied on customers’ private videos. The implication drawn is that Ring’s devices were purchased by consumers to deter unauthorized access and intrusions, but the partnership with Flock is framed as a move that extends access to federal agents. The closing emphasis is on the expansion of access to surveillance footage as a direct consequence of Ring’s collaboration with Flock Safety, highlighting a transition from consumer use to broader, potentially federal-level access to video data across a combined network. The overall message conveys concern about the scale and implications of integrating street-level and doorbell video systems, and the potential for law enforcement to draw from a larger, interconnected pool of footage.

Speaker 0 discusses Palantir and expanded government use. Key points: - Palantir is openly building databases on people, used with ICE and announced for broader government use; Palantir also manages all health data due to extensive contracts with HHS. - Trump’s first term included a push to have social media companies flag statements to prevent shootings, using analytics to determine intervention before a crime—concept described as “minority report.” - William Barr, during the first Trump administration, created DEEP, a program that legalized precrime in the United States; there were a few arrests under DEEP for Facebook posts, but not many, with the legal framework in place since Trump’s first term. - The pitch for a precrime system included HARPA, a health-focused version of DARPA, and a program called Safe Homes intended to analyze American social media posts for early warning signs of neuropsychiatric violence. Based on that analysis, individuals could be sent to a court-ordered psychologist or physician or placed under house arrest without having committed any crime. - With Palantir’s increased government integration, especially through the Doge agency led by Elon Musk, Palantir has embedded itself further in government, including the IRS and mortgage-related entities like Fannie Mae; this involves access to data from the Department of Treasury and the IRS, forming a master database aimed at stopping crime before it happens. - Palantir’s precrime activities included piloting predictive policing programs in police departments, initially in New Orleans, targeting primarily low-income minority neighborhoods. - Other companies besides Palantir, such as Predpol in Los Angeles, claim to provide predictive policing with an accuracy of 0.5%; contracts with Predpol have not been terminated. - The overarching concept traces to the Panopticon idea: constant surveillance leads people to police themselves and censor themselves, implying control through perpetual observation, rather than purely improved efficiency in policing. The speaker characterizes this as the foundational form of control.

On October 1, there were over 9,000 911 calls in just one minute, highlighting the challenges of emergency response. Garrett Langley shared a powerful story about how Flock Safety's technology helped locate a kidnapped baby in Atlanta, showcasing the impact of public safety technology. Sheriff Kevin McMahill discussed innovations in law enforcement, including the use of drones and gun detection technology, which have significantly improved safety and crime resolution rates in Las Vegas. Flock Safety operates in over 4,000 cities, solving about 22,100 crimes daily. The conversation emphasized the importance of community engagement and transparency in law enforcement, as well as the future potential of technology to enhance public safety and reduce crime.

The system covers the entire Internet, including social networks like Facebook and Twitter. It identifies 200,000 suspect posts and tweets related to antisemitism daily, using artificial intelligence and machine learning. Approximately 10,000 antisemitic posts are identified each day. This information will now be made public, serving as a deterrent to antisemitism. We will be able to determine which city has the highest antisemitic internet activity and identify the top 10 antisemitic tweets and Twitter users. By understanding the causes behind spikes in antisemitism, we can take action. The command center in Tel Aviv is already operational, analyzing and sharing information with local authorities and municipalities to address antisemitic activities. This marks the official launch of the system.

Ford has filed a series of patents at the U.S. Patent and Trademark Office describing sensors and cameras inside the cab of their trucks that can prevent shifting from park to drive if they determine the driver isn’t fit to drive. The concept builds on Ford’s existing telematics, which can pull up real-time cab cameras for fleet vehicles. Ford markets this to insurance companies, highlighting issues of data ownership and liability, noting that even if a person’s name is on the truck title, they may not own the data or the risk. One patent, serial number 0104469, describes a system that uses biometric data—face, iris, fingerprint—and runs it through a criminal database in real time while the driver sits in the truck. Ford’s patent language suggests potential usefulness for police, indicating the technology could be used to screen drivers before any action is taken. This example is presented as part of a broader set of filings Ford made within months of each other. The overarching implication is that the technology could be used to monitor or restrict driving based on biometric and behavioral data. Additional patent concepts include lipreading: cameras inside the cab with machine learning trained on lip movement datasets; cloud-connected processing where the face data is processed somewhere off-device; and acoustic lipreading, where inaudible sound waves are emitted and the echoes from the mouth are read. Other biometric elements mentioned are facial recognition, fingerprint, and iris scanning. There is also a concept labeled “Ad listening,” which would monitor conversations between everyone in the cab and serve targeted ads based on what people are talking about while driving, described by Ford as “maximum opportunity for ad based monetization” with no description of data protection. There is a Ford Pro Telematics product page rather than a patent, describing live in-cab video feeds accessible to managers on their phones and belt/seatbelt compliance alerts advertised as helping to lower insurance costs. The speaker notes that this infrastructure “exists,” and once in place, it “is gonna get used and abused.” The discussion situates Ford within a broader trend: it’s part of an arms race. It notes that Smart Eye driver monitoring software is already in over 2,000,000 cars globally; EU safety regulations are mandating drowsiness systems as standard equipment going forward; GM has deployed biometric seat sensors and heart-rate monitoring in production trucks.

- 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.

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.

There are numerous fires happening across America and even in Greece. In Texas, there's a fire near Austin. Washington State lawmakers are pushing for a smart city bill. Phoenix, Arizona, has its own smart city strategic road map. New Jersey and New Mexico are also experiencing wildfires, with plans for smart cities in both states. Portland, Oregon, is another location affected by wildfires, with smart city initiatives in the works. Orlando, Florida, and Mississippi also have smart city plans. The speaker notes that this pattern continues globally, as there are fires in Greece as well.

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.

Two of the largest private surveillance networks in America have teamed up: Amazon's Ring and Flock Safety. The partnership means the AI-powered cameras that track cars on the street can now ask neighboring Ring doorbells for video of you, effectively connecting the street to your front door and creating one massive searchable surveillance network for the police. Four zero four Media has reported that ICE and the Secret Service have access to Flock's network, and with this partnership, that network is about to gain millions of new cameras from Ring. Ring was previously fined $5,800,000 by the FTC because its employees were caught spying on customers' private videos. You bought that doorbell to keep strangers out, and now it's letting federal agents in.

In the video, the speaker discusses three felonies captured on camera and reveals that there are 4 million minutes of video footage. The worst offender state is Pennsylvania, specifically Philadelphia, in every sense. The speaker explains that 1,155 people in Philadelphia met the criteria of having 10 or more drop boxes and 5 or more organizations. Even if we assume that number is half, it would still be insane. The speaker also mentions the data showing pings crossing the bridge from New Jersey into Philadelphia, which is even more astonishing.

There are numerous fires happening across America, including in Texas, Washington, Arizona, New Jersey, New Mexico, Oregon, Florida, and Mississippi. These states are also planning or implementing smart city initiatives. Additionally, there are fires in Greece, where smart city plans are also being developed. The speaker points out the pattern of fires and smart city projects occurring in various locations.

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.

At the end of 2018, there were 430 hyperscale data centers, growing to 597 by 2020 and 992 by the end of 2023. Currently, there are over 1,000, with an additional 100 planned. Microsoft announced a $50 billion investment in data centers from July 2023 to June 2024, aiming to accelerate server capacity expansion. Amazon committed $150 billion to data center growth, with $50 billion allocated for U.S. projects in the first half of 2024. These companies are focused on expanding their operations and meeting increasing computational demands, prioritizing profit over potential social benefits.

Correct. I am now about to launch Gideon, America's first ever AI threat detection platform built specifically for law enforcement. It scrapes the Internet twenty four seven using an Israeli grade ontology to pull specific threat language and then routes it to local law enforcement. It's a twenty four seven detective. It never sleeps, and it's going to get us in front of these attacks. Would it have picked up on this, do you think? 100%. Percent. I wish this pro I wish my program would already be up. We're not launching until next week. I've got a dozen agencies on board, Trace. I just onloaded a major Northeast, agency with over 2,700 sworn. This is America's early warning system.

5,050 Starlink satellites are currently in place. More satellites will be deployed to help people in areas with no cell service, such as Canton, call for help and reach loved ones.

Correct. I am now about to launch Gideon, America's first ever AI threat detection platform built specifically for law enforcement. It scrapes the Internet twenty four seven using an Israeli grade ontology to pull specific threat language and then routes it to local law enforcement. It's a 20 fourseven detective. It never sleeps, and it's going to get us in front of these attacks. Would it have picked up on this, do you think? 100%. I wish this pro I wish my program would already be up. We're not launching until next week. I've got a dozen agencies on board, Trace. I just onloaded a major Northeast agency with over 2,700 sworn. This is America's early warning system.

Speaker 0 breaks a little bit of news on your program, Jesse. He reports that 'our partners that do sort of geotagging with devices, they told us that they tracked over 277,000 devices in the vicinity of State Farm Stadium in Glendale, Arizona.' He adds, 'Wow. 277,000. That's unbelievable.' He concludes, 'Gives you an idea of the scale of humanity out there.' These statements illustrate the large number of devices detected near a major venue, highlighting the scale of activity in the area during events. The segment emphasizes the reach of geotagging data and public disclosure in reporting near real-time device counts. It conveys a perspective on how many devices can be tracked in a single location.

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.