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Since 2013, mobile devices are now the primary focus, with smartphones constantly emitting signals to cell towers even when idle. These signals contain unique identifiers like IMEI and IMSI, allowing tracking of a user's movements. Companies store this data for unknown purposes, leading to privacy concerns and mass surveillance through bulk collection.

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.

Speaker 0: Facial recognition will be used to unlock your digital identity, which is going to be a tool of control for the agendas that are coming down the pipeline. Elements of that control are already with us. Alexa, good morning. Good morning. You are never alone in your home, and this is why. All your devices at home and all smart appliances, they are all connected on a wireless network. Many of these devices will have cameras, many will have microphones, and so they are monitoring everything all the time. Your smart appliances are communicating with the smart meter and sending it real time usage data. If there is a Ring camera also in your home, a mesh network is formed and all your devices are being tracked within the home, its location, its usage and all the data is going to Amazon's servers. When you leave your home, all modern vehicles are connected to the Internet, so your automobile is being tracked all the time. When you are going under a string of smart LED poles and smart LED lights on the highway and in the streets of your towns and cities, those form a wireless network and are tracking your vehicle. They are tracking all the devices on you from smartphones to smartwatches when you're walking on the streets. So data is being collected twenty four seven continuously on every human being whenever you are within these wireless networks. Speaker 1: And it's obviously not good for health also because of all the electromagnetic radiation. Speaker 0: In the long term, the plan is to pretty much lock up humanity in smart cities, which is kind of a super set of a fifteen minute city. Speaker 1: They've sold all the state and local governments and countries that smart cities are about sustainability and the good of the city. But in reality, the language from the UN and WEF and their white papers is all inverted. So their monitoring is really about limiting mobility and no car ownership. Right? Surveillance control via LED grid is why the smart lighting is death. Water management is about water rationing. Noise pollution is about speed surveillance. Traffic monitoring is about limiting mobility. And then, of course, energy conservation is all about rationing heat, electricity, and gasoline. Another concept one should be familiar with is called geofencing, and that's think of it as an invisible fence around you where you cannot go beyond a certain point, and that'll be related to your face recognition, digital identity, and access control. Your smart contracts, Softbrick can turn off your digital currency beyond a certain point from your house. Our world has been turned into a digital panopticon. Speaker 0: That means you can be monitored, analyzed, managed and monetized.

Speaker 0 raises concern about Instagram sharing a link to cdc.gov and foregrounds what a QR code can reveal. He says the QR code that people have holds a lot more information on them than they may think, noting that this is Canada’s QR code but many countries have a similar thing. He enumerates the information embedded in the QR code: - Religion - Organ donor - Driver’s license - Marital status - Nonessential access - Reserved for future use (a note that there is information planned for future use) - Allergies - Gender identity - Smoker - Sex - Are you a firearms owner? - Are you a restricted firearms owner? - Are you do you have any warrants? - Then, what’s your credit score? - How many accounts do you have? - How much do you owe? - What did you make this year? - What did you make last year? He asserts that this is how much information the QR code will have and that it will be the social credit system on steroids, if not a carbon copy of it. He claims this is what people are being—implied to be—subjected to, and that the only power this system has is the power you give it. He concludes with: If everyone refute.

Eric Prince and Tucker Carlson discuss what they describe as pervasive, ongoing phone and device surveillance. They say that a study of devices—including Google Mobile Services on Android and iPhones—shows a spike in data leaving the phone around 3 AM, amounting to about 50 megabytes, effectively the phone “dialing home to the mother ship” and exporting “all of your goings on.” They describe “pillow talk” and other private interactions being transmitted, and claim that even apps like WhatsApp, which is marketed as end-to-end encrypted, ultimately have data that is “sliced and diced and analyzed and used to push … advertising” once it passes through servers. They argue that this surveillance is not limited to phones but extends to other devices in the home, including Amazon’s Alexa and automobiles, which they say now have trackers and can trigger a kill switch, with recording of audio and, in many cases, video. The speakers contend this situation represents a monopoly by a handful of big tech companies that can use the collected data to control markets, dominate, and vertically integrate the economy, potentially shutting down competitors. They connect this to broader concerns about political power, claiming that the data profiles built on individuals enable manipulation of public opinion, messaging, and even election outcomes. They reference banking data, noting that banks like Chase have announced selling customers’ purchasing histories to other companies, as part of what they call a broader data-driven power shift. The discussion expands to warnings about a “technological breakaway civilization” operating illegally and interfaced with private intelligence agencies to manipulate, censor, and steal elections. They argue that AI, capable of trillions of calculations per second, magnifies these risks and increases the ability to take control of civilization. They reference geopolitical events, such as China’s blockade of Taiwan, and claim that microchips sold internationally have kill switches that could disable critical military and infrastructure. They speculate about the capabilities of NSA, Chinese, Russian, or hacker groups to exploit this vulnerability, describing a world in which the infrastructure is exposed like Swiss cheese to criminals and governments. Throughout, the speakers criticize the idea that technology is neutral, asserting instead that it has been hijacked by corrupt governments and corporations. They contrast these concerns with Google’s founding motto “don’t be evil,” claiming it was contradicted by later documents showing CIA involvement and In-Q-Tel’s role, and they warn that a social-credit, cashless society rollout could be enforced by private devices rather than drones or troops. The segment emphasizes education of Congress, state attorneys general, and the public about these supposed threats. Note: Promotional product endorsements and sponsor requests in the transcript have been omitted from this summary.

Speaker 0: It has come to my attention that there are several flock cameras installed around our town. My resources count over 30 of them, and I have graphics showing where they are. I’d like to be passed around to the guests here tonight so they can see where these cameras are. These cameras utilize AI to track you and your family when you’re out in public. They run by a company Palantir. This company claims that they just record movement of vehicles and they will reduce the crime rate to zero. However, people much more educated than I on these cameras have proven this to be false when speaking to their city councils. They do not monitor where you drive, but they also monitor where you walk, what you do, what you say, what’s on your phone when you walk by, and they spy on you all the time. Today, I walked around and I noticed the one down by the bridge was pointed towards the courtyard and the field, not towards any roads. So why would it be pointed towards the river, not towards the streets if it’s just to monitor vehicles? Also, in order to bring the crime rate down to zero, they would need to be able to predict crime before it happens, and I think that that is a slippery slope. Some cities are discussing adding this AI to police body cameras, which would be constantly monitored by an AI, which would make a judgment call about releasing drones also controlled by this AI. Again, I see it as a very slippery slope along with the military drones that we’ve seen used over in Iran and in Ukraine. That is not my biggest problem with these though. The owner of Palantir, Peter Thiel, is a man mentioned in the Epstein files over 2,200 times, making him the fourth most mentioned individual in the files. He accepted $40,000,000 that we know about from Epstein. The victims of Epstein and Jalane Maxwell were human sex trafficked, reported almost all members consisting of high profile and ultra wealthy individuals, and they witnessed murders, ritual sacrifice, and cannibalism of infants. That being the consumption of human flesh and blood. They used code words for their victims like pizza, jerky, and grape soda. I have a hard time believing that any human being could do something so evil. This is something that I would be told in a story about vampires. And I don’t know about you, but I think that vampires are meant for campfires. They are supposed to be a mythological being, and they’re not supposed to be real and definitely should not be in charge of the security and safety of our city. I believe that any decent person would say no to giving up their safety and security to someone with such little value of a human life, let alone a potential ultra wealthy pedophilic vampire in the Epstein files. So the gazebo is right here. Right? So I’m trying to capture this area where we have people hanging out.

The transcript discusses LED lights and a supposed IoT (Internet of Things) capability. It states that on 04/09/2019, Target confirmed they had provided Internet of Things lighting. IoT lighting means everything is connected and data can be collected from ongoing activities. The example given is that if you walk into Target with your phone, the lights will sync up to your phone to obtain data about what you’re purchasing and what you’re doing. The narration links this event to the period just before 2020, suggesting it occurred prior to the surge in shopping and alleged shortages that year. The speaker then asserts that these LED lights have microscopic cameras in them so they can watch people from every angle. The claim is that other stores, such as Whole Foods, are using similar technology in price tags that can scan and see who is buying items to collect data. The main takeaway presented is that if you bring LED lights into your home, the same type of technology claimed to be in these stores could be in the LED lights you bring into your house.

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.

Your phone is not just a phone. It is the result of research that captures your attention, creating a power imbalance where you are unaware that you are being constantly monitored. They gather maximum information about you, surveilling you 24/7. In return, they know you so well that they can not only predict things about you but also manipulate your behavior. The internet of things will do the same.

ICE is using fake cell towers to turn your phone into a tracking device. It's a technology called Stingray. They put it in a vehicle and drive through a neighborhood broadcasting a signal stronger than a real cell tower. Your phone automatically connects to the strongest signal, so it connects to the fake one, and you never know what happened. Once you're connected, they can pinpoint your exact location in real time. Here's the most terrifying part: the Stingray doesn't just connect to the target's phone. It forces every phone in the area to connect to it. Your phone, your neighbor's phone, anyone just walking down the street, it scoops up data from hundreds of people to find one person. This isn't a theory. Forbes just uncovered a warrant showing ICE used one to track a person across a 30 block area in Utah, and they've spent millions on these cell site simulator vehicles. Your phone is constantly looking for a signal. You just have to hope it's a real one. ICE

Speaker 0: There are several flock cameras around our town—resources count over 30, with graphics showing their locations to be passed around for guests to see. These cameras utilize AI to track you and your family in public. They run by a company Palantir. This company claims they just record movement of vehicles and will reduce crime to zero, but people more educated than I on these cameras have proven this false when speaking to city councils. They do not monitor only where you drive, but also where you walk, what you do, what you say, what’s on your phone when you walk by, and they spy on you all the time. Today, I walked around and noticed the one down by the bridge was pointed toward the courtyard and the field, not toward roads, so why would it be pointed toward the river, not toward the streets if it’s just to monitor vehicles? In order to bring the crime rate down to zero, they would need to predict crime before it happens, and I think that is a slippery slope. Some cities are discussing adding this AI to police body cameras, which would be constantly monitored by an AI, making a judgment call about releasing drones also controlled by this AI. Again, I see it as a very slippery slope along with the military drones that we’ve seen used over in Iran and in Ukraine. That is not my biggest problem with these, though. The owner of Palantir, Peter Thiel, is a man mentioned in the Epstein files over 2,200 times, making him the fourth most mentioned individual in the files. He accepted $40,000,000 that we know about from Epstein. The victims of Epstein and Jalane Maxwell were human sex trafficked, reported almost all members consisting of high profile and ultra wealthy individuals, and they witnessed murders, ritual sacrifice, and cannibalism of infants. That being the consumption of human flesh and blood. They used code words for their victims like pizza, jerky, and grape soda. I have a hard time believing that any human being could do something so evil. This is something that I would be told in a story about vampires. And I don’t know about you, but I think vampires are meant for campfires. They’re supposed to be a mythological being, not real and definitely should not be in charge of the security and safety of our city. I believe that any decent person would say no to giving up their safety and security to someone with such little value of a human life, let alone a potential ultra-wealthy pedophilic vampire in the Epstein files. So the gazebo is right here, right? So I’m trying to capture this area where we have people hanging out.

Wi-Fi, an electromagnetic radiation, can be used to carry data and recognize silhouettes behind walls. Software can track people through wireless signals, identifying individuals by skeletal shape and measuring breathing/heart rate. AI can reconstruct images of people in a room using only Wi-Fi signals, turning routers into cameras that track living beings. Social media posts claim Hitachi's SmartDust chip can track people via GPS if consumed, but searches reveal the chip is an RFID chip without GPS capability and is not meant to be injected or absorbed into the human body. These chips can be used in securities, identification, preventing counterfeiting, and displacing ingredients. Amazon Sidewalk is a shared network using technologies like LoRa to maintain device connectivity even amidst disruptions. It allows remote control of devices and can be used to locate lost items, detect motion, track packages, sense air quality/water leaks, and monitor security. Amazon is opening Sidewalk to developers.

The speaker expresses growing concern about how modern cars are becoming surveillance devices through automated driver assistance systems (ADAS) and connected technology. He describes a recent rental car as full of surveillance features, noting that ADAS regulations are EU-based but likely to be adopted worldwide. These systems can beep for minor speed overages and require constant attention to the windscreen; they can also shout if you remove your hands from the wheel. He cites that, on average, there are more than ten cameras in a car, most of which face inward to monitor the driver, with at least one camera focusing on the eyes to assess whether the driver is looking at the screen or is tired, suggesting that the goal is to ensure the driver cannot effectively control the car. He introduces the concept of geofencing, describing it as a feature that could restrict a vehicle’s operation when it crosses the edge of a defined boundary, such as the boundary of a “fifteen minute city.” He explains that with always-on, connected cars, crossing the boundary could trigger the car to slow down or enter a limp mode, allowing only first and second gear and effectively preventing out-of-bound travel. He urges listeners to look up geofencing as a standalone term and shares a personal anecdote: a dealer updated a car, and the owner had to accept new terms and conditions that allowed the manufacturer and authorities to activate geofencing software in the vehicle. The speaker connects these technologies to broader identification and tracking systems, suggesting that the car already reveals its location and that the owners' identity could be inferred by associating the car with the driver through facial recognition captured by in-car cameras. He speculates that masking could prevent the car from starting, and he imagines an intentionally malicious designer could exploit such features. He asks whether this is the world people want and expresses a personal desire to detach from the Internet and digital devices, even at the cost of inconvenience, as a way to avoid concentrated control. He emphasizes that the crucial point is a world that cannot be taken over by a small number of people.

At Walmart, this new thing: "This is some kind of this is some kind of tracker." It "helps them understand what products that you're buying" because "then they can see what products you stopped to look at in the store." And then they have a "three d digital map" that shows "how many seconds you stood standing in front of this product display or this product display." And then they can "engage your active user feedback and find out what product they're selling," and they can also "find out where their carts went." If they get lost in that world, they can "track them with the tracker." So crazy.

Glasses were created that can identify people on the street. When the glasses are worn, they detect faces and analyze them. After a few seconds, personal information pops up on a phone. The glasses stream video to Instagram, and a computer program monitors the stream. AI detects faces, then the internet is scoured for more pictures of that person. Data sources like online articles and voter registration databases are used to find names, phone numbers, home addresses, and relatives' names. This information is fed back to an app. The glasses identified dozens of people, including Harvard students, without their knowledge. Information found included addresses, attendance at programs like Yale's Young Global Scholar Summer Program, and relatives' names.

Anything you've ever said or done in the vicinity of your phone's camera or microphone, everything you've ever put into your phone, emails, text messages, Snapchat, Twitter, whatever, You search queries on Google, every embarrassing health search, every embarrassing text conversation with the significant other, every nude photograph people may not have taken, any search. They know where you are at all times. They know where you go and when. They know what you buy. They have access to your bank account. AI will literally know everything about you. They can create fake platforms that look real or rather fake people. And imagine if they were talking to you and they passed the Turing test, you know it's AI. It's like total, like, rape of everybody by the system forever. It's not good.

Speaker 0 describes smart meters as more than just electricity meters, asserting they function as personal surveillance devices. They claim smart meters sense when devices are turned on or off, measure watt usage (even for small devices like an electric toothbrush), and transmit that data wirelessly through neighbors’ meters to the power company. The data allegedly records electric consumption every minute, stored forever on computers the public cannot access, revealing when someone is home, asleep, on vacation, hosting visitors, using lamps or tools, running a business from home, or bootlegging energy off the grid. The speaker asserts this creates a vivid profile of private living patterns and indicates at-home presence on the night of a murder. The speaker contends this is not electrical metering but personal surveillance—a warrantless search daily. They claim personal life information travels from the meter to the power company, to the government, police, and insurance companies, and to anyone who partners with the power company to access it. The speaker further asserts that even without a direct data-sharing agreement, information can be intercepted via the wireless signal from the meter, because smart meters are radio transmitters. They identify a one-watt radio station licensed by the FCC as the transmitter sending all electrical life details to a data center. Examples are given of authorities in Ohio, Texas, and British Columbia using smart meter data to pinpoint marijuana grow houses, enforce business licenses, and punish private home activities, implying surveillance beyond what residents accept. The claim is made that the power company can sell personal life data to anyone, and that unusual power usage patterns can be used as probable cause to raid a home for growing marijuana or running a computer server without a license. The speaker describes this level of surveillance as “about as big brother as it gets,” with utility workers going door-to-door to install meters. They express a personal opinion that smart meters should be removed from homes, arguing that power companies cannot claim the right to install surveillance devices on residences. They equate smart meters with wiretapping and note wiretapping is illegal in all U.S. states and federal territories. The speaker asserts that allowing a smart meter is tantamount to walking around with a constant webcam on one’s head and accuses the industry of relying on implied consent—the idea that permission is granted if the utility can change the meter, even if residents don’t understand the scope of what’s happening. As a practical step, the speaker advises telling utilities not to change the meter, noting that older meters were billed successfully. They claim to have sent a certified letter denying installation of a smart meter and mention a copy of their letter is available in the video’s description for viewers to adapt. They state post office certified mail is used to obtain a receipt. The speaker concludes that if the meters are installed on every house in America, it would cease to be America.

Speaker 0 argues that facial recognition will be used to unlock a digital identity and will serve as a tool of control for upcoming agendas. They claim that elements of this control already exist and describe a highly connected home environment: all devices and smart appliances are on a wireless network, many have cameras and microphones, and they monitor everything continuously. Smart appliances communicate with the smart meter and send real-time usage data. If a Ring camera is present, a mesh network forms and all devices are tracked within the home, with location and usage data sent to Amazon’s servers. When leaving home, modern vehicles are connected to the Internet and tracked constantly. On highways and in cities, smart LED poles and lights form a wireless network that tracks vehicles and all devices (phones, smartwatches) people carry, enabling continuous data collection on every person within these wireless networks. Speaker 1 notes that this is obviously not good for health due to electromagnetic radiation. Speaker 0 continues by stating that the long-term plan is to lock humanity into smart cities, described as a superset of a fifteen-minute city. They claim governments have been sold on smart cities as promoting sustainability and the common good, but quote language from the UN and the World Economic Forum (WEF) as inverted. In this view, surveillance is used to limit mobility and reduce car ownership. They describe surveillance via an LED grid as essential to smart lighting and view it as harmful. They extend this to water management, which they say is about water rationing; noise pollution as speed surveillance; traffic monitoring as mobility restriction; and energy conservation as rationing heat, electricity, and gasoline. The speakers introduce the concept of geofencing as an invisible boundary that people cannot cross, tied to facial recognition, digital identity, and access control. They mention smart contracts and a mechanism called Softbrick that can disable digital currency beyond a point from a person’s house. They summarize their view by stating that the world has become a digital panopticon, enabling monitoring, analysis, management, and monetization of people.

Glasses were created that can identify people on the street. When the glasses are worn, they detect faces and analyze them. After a few seconds, personal information pops up on a phone. The glasses stream video to Instagram, where a computer program monitors the stream. AI detects faces, and the internet is scoured for more pictures. Data sources like online articles and voter registration databases are used to find names, phone numbers, home addresses, and relatives' names. This information is fed back to an app. The glasses identified dozens of people, including Harvard students, without their knowledge. Information found included addresses, attendance at programs like Yale's Young Global Scholar Summer Program, and relatives' names.

Speaker 0 asserts that there is no security whatsoever and that cybersecurity professionals face this problem daily. They state that while people are watching their phones, their phones are watching them. The operating system is designed to watch and listen to users, to know who their friends are, what is being said in text messages, and to listen at times. They claim that, although people look at their phones and it has many facilities, it is the world’s greatest spy device, designed as a spy device. Now, this.

The speaker argues that people are fleeing to Mexico to escape government tyranny, corruption, taxation, and high food prices, and claims Mexico is responding by requiring mobile users to register their phones. He states: “Mexico is telling a 130,000,000 mobile users, register your phone or it goes dark,” noting the claim as voluntary but comparing it to coercive tax compliance. He recalls 2008 reforms (the renout) that collected phone data, which allegedly led to a massive data leak sold on black markets. In 2022, he says the plan resurfaced with barometrics, fingerprints, and facial scans. According to the speaker, the Mexican Supreme Court ruled prior attempts unconstitutional because they were too evasive and dangerous, likening it to building a criminal record for simply having a phone. He fast-forwards to January 9, 2026, when a new law allegedly passes requiring every SIM—prepaid, postpaid, and eSIM—to be tied to an identity. He describes an upgrade: a “CURP barometrica” that goes beyond name and number to include face, iris, ten fingerprints, and a digital signature. The claim is that you don’t just have an ID anymore—you become the ID. The speaker asserts this data isn’t stored in a distant vault but connects to law enforcement, intelligence agencies, and a national card database, effectively creating a criminal record built on you. He contends there will be no notification, oversight, or transparency about who can access it. He says the stated purpose is missing persons, but he dismisses this as false framing, suggesting the history shows otherwise. He warns that whenever the government says the measure is for safety, the real purpose is control. He predicts anonymous SIM cards will disappear, journalists will be tracked, activists flagged, and ordinary people logged and searchable in real time. He frames the move as the third attempt, each time larger, broader, and more evasive, with a central aim of tracking people through a “barometric” digital ID that, once built, won’t go away. He cautions to observe the pattern, noting the evolution begins in Mexico and will spread elsewhere, presenting this as a blueprint for global digital identification and tracking. The speaker, Mike Martin, concludes with a firm assertion: “I have spoken.”

Speaker 0 argues that facial recognition will be used to unlock your digital identity, which will be a tool of control for upcoming agendas. Speaker 1 notes that elements of this control are already with us, citing Alexa as an example. Speaker 0 contends you are never alone in your home, because all devices and smart appliances are connected on a wireless network, many with cameras and microphones, monitoring everything all the time. Smart appliances communicate with the smart meter, sending real-time usage data. If a Ring camera is in the home, a mesh network is formed and all devices are being tracked within the home, including location and usage, with data going to Amazon’s servers. Speaker 1 adds that when you leave your home, modern vehicles are connected to the Internet and tracked continually. On the streets, smart LED poles and smart LED lights form a wireless network that track your vehicle. They claim data is collected 24/7 continuously on every human being within these wireless networks. Speaker 0 asserts this is not good for health due to electromagnetic radiation. Speaker 0 further states that in the long term the plan is to lock up humanity in smart cities, a super set of a fifteen minute city. Speaker 1 says they’ve sold smart cities to state and local governments and countries as about sustainability and the city’s good, but claims the language from the UN and WEF and their white papers is inverted. The monitoring is described as about limiting mobility and no car ownership. Surveillance via LED grid is described as why smart lighting is death. Water management is about water rationing; noise pollution about speed surveillance; traffic monitoring about limiting mobility; energy conservation about rationing heat, electricity, and gasoline. Speaker 0 explains geofencing as an invisible fence around you where you cannot go beyond a certain point, related to face recognition, digital identity, and access control. Speaker 1 mentions that smart contracts can enable Softbrick to turn off your digital currency beyond a certain point from your house. The world is described as turned into a digital panopticon. Speaker 0 concludes that this means you can be monitored, analyzed, managed, and monetized.

The police will be on their best behavior because we re we're we're constantly recording, watching, and recording everything that's going on. Citizens will be on their best behavior because we're constantly recording and reporting everything that's going on. And it's unimpeachable. The cars have cameras on them. So if that altercation had occurred, that occurred in Memphis, the chief of police would be immediately notified. In other words, every police officer is going to be supervised at all times. We have you know, same thing. We have drones. A drone goes out there. I get there way faster than a police car. There's no reason for, by the way, high speed chases. You shouldn't have high speed chases between cars. You just have a drone follow the car. I mean, it's very, very simple. And then new generation generation of autonomous drones.

Speaker rents a car for repairs and asserts, 'These new cars are cell phone towers. That's what that is right there. See that?' and, 'you can't turn them off.' They suggest buying an old car to avoid being blasted with radio frequencies the entire time checked out, like a cell phone tower while you're driving around. 'So when they ask where all the chat GPT information is coming from, guess what? Here you go.' They mention 'GSR speed assist app.' 'This tracks your speed so that Google gets your information the entire time,' and claim, 'Google knows and they can get send you a ticket.' Finally, 'In the newer cars, you're not allowed to turn this LTE off. You can turn off Bluetooth and Wi Fi, but you can't turn off your car being a cell phone.'

You might wonder how a signal reaches only me when I'm next to someone else. Think about when your phone rings at a table – do the phones of those around you also ring? That's how. The body is targeted using bioelectromagnetic algorithms. These algorithms measure the body's bioelectricity, perturbing the human biofield with biological signals. These bioelectromagnetic algorithms are incorporated into machine learning classifiers. The machine learning reads what's happening under your skin and reports it to a database, your digital twin. The Department of Defense has been developing this for fifty years. These biosensor systems are very robust and part of our network-centric warfare doctrine.