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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.

In East London, police use facial recognition cameras, leading to a man being fined for covering his face. The legality and privacy concerns of this technology are debated, with opponents fearing widespread surveillance. Police defend the use of facial recognition as a tool for safety and effectiveness, promising safeguards and reviews.

Speaker 0 argues that for many years, dating back to the 1990s, looking at China today reveals what might be planned for the West tomorrow. In particular, China has millions of cameras in the cities equipped with facial recognition technology, enabling them to locate you in minutes wherever you are. This system operates alongside a social credit framework: people earn points for behaviors that align with the government’s preferences and lose points for actions that don’t. If you lose enough credits, you are excluded from mainstream society. The speaker notes that during the COVID-19 period, people who refused to get the jab or to wear masks were excluded from mainstream society, describing that as a pre-run or preview of where society could be headed. The argument is that, in China, losing enough credits means you cannot board trains or planes and you cannot function within mainstream society. The speaker contends that this social credit system is rapidly moving into the West, facilitated by digital identity, digital currency, and AI-driven control over many aspects of life. The transcript highlights examples of ongoing surveillance- and control-related measures in Western contexts, such as supermarkets that require a QR code for entry. It questions what happens to those who do not want to participate in such a system, asking what if someone doesn’t have a smartphone. It notes that in some cases, entry to places like supermarkets could be denied if you lack the required digital credentials. The speaker also points out that payments might be made with a fingerprint, indicating that this is part of a broader shift toward pervasive digital and biometric controls. Overall, the speaker presents a narrative in which China’s social credit and pervasive surveillance serve as a template for Western adoption, suggesting a future where digital IDs, digital currencies, AI governance, and biometric verification create a tightly controlled social order, with access to everyday activities and services contingent on compliance with the system.

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.

China is investing in tech companies to create a surveillance network using citizens' official ID cards. One company, MEGVY, received a large investment and named its technology Skynet. Despite the negative connotations from the movie Terminator, Skynet in China is seen as a positive system. MEGVY's facial recognition technology can track faces in public and cross-check them against a criminal database. Over 3,000 fugitives have been caught in just one year using this system. In the future, MEGVY envisions a society where everyone has social points, similar to a black mirror episode, where actions like spitting gum on the sidewalk can affect one's social standing.

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Now I've heard they got meta glasses. They got glasses, which people are gonna walk around and record. If a person enters anybody's home with glasses which are recording the entire time, they're probably gonna have to beat them up. Meta Glasses sponsored by Ray Ban. Do you see how all these companies are in it together? They wanna sell their products and they wanna record you and put you into some George Orwell 1984 prison. Everybody's got cameras and they're all recording you with their ring doorbells and all this weird stuff. NPCs are aliens at this point. You gotta be an alien or an NPC. Buy all this technology and keep purchasing it and thinking that this is okay and chat GPT and this and smartwatches, and you're talking to your watch while you put your MetaGlasses and get your 55 boosters. Like, that's pretty much what it was.

Speaker 0 discusses the expansion of data center networks and argues this infrastructure fuels surveillance creep, presenting examples of negative outcomes. He mentions a coming vehicle mandate requiring all vehicles to have a kill switch and introduces Blue Sky AI as a biometric monitoring company likely to be involved, noting its focus on eye tracking, facial expression analysis, head position monitoring, drowsiness and distraction detection, behavioral pattern analysis using face and voice. He emphasizes that the law requires the technology but does not specify which company must provide it, describing this as quiet infrastructure that could sit in millions of cars while the company remains invisible to the public. He asserts that biometric data collection can be normalized as safety and repurposed for control or behavioral scoring. Speaker 0 highlights a Tennessee case where a grandmother spent six months in jail because AI facial recognition mistakenly tied her to a fraud case in North Dakota. He states that the US marshals took Angela Lipps away at gunpoint while she babysat four grandchildren, and that she spent 108 days in a Tennessee jail before extradition to North Dakota to face organized fraud charges for using a fake US Army ID to withdraw thousands from Fargo area banks. He notes that AI software flagged her from grainy surveillance video with a detective affirming the match via her driver's license and social media photos, despite her never visiting the state. Court records showed bank statements proving she shopped in Tennessee during the crimes, prompting her first police interview ever. Lipps was released in January 2026 after charges were dropped, and she is pursuing a civil lawsuit against Fargo police. A West Fargo resident started a GoFundMe raising over $15,000 to help her. Speaker 0 adds that UK police face a lawsuit after AI misidentification leads to a wrongful arrest, where an innocent engineer was arrested by an AI system while the real suspect was caught the same day. Speaker 1 introduces 26-year-old software engineer Alvi Chaudhury, who was wrongly arrested and held for about ten hours after a facial recognition system used by Thames Valley Police linked him to a burglary in Milton Keynes. The actual suspect was arrested the same day and later pleaded guilty. Chaudhury, who lives roughly 100 miles away, is pursuing legal action, alleging distress and questioning the reliability of the technology used in the identification. Speaker 0 notes a follow-up to the Tennessee grandmother case and adds other examples: Robert Williams was wrongfully arrested and jailed overnight because police used facial recognition software to link him to a robbery based on blurry surveillance footage; Portia Woodruff was arrested after police used facial recognition results to generate a photo lineup that a victim selected, and she was eight months pregnant; Najeeh Parks was arrested and held for ten days after being misidentified by facial recognition as a suspect in a theft and assault case. The speaker argues that while there is some recourse and human oversight, increasing reliance on AI reduces recourse and the ability to correct wrongs, since these duties are given to AI, leaving fewer avenues for appeal.

In this video, the speaker demonstrates the capabilities of GPT-four vision. They show a whiteboarding session where they generate code based on a photo. The model is able to understand the order of steps and even flip them when tested. It also recognizes when to refer to the user by name. The speaker then shows how the model can handle branching paths and adapt to changes in the diagram. They emphasize that all of this was achieved by simply passing an image and a prompt. The speaker concludes by expressing amazement at the model's abilities.

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.

Everywhere she goes, Oh Young Houyu is followed. What she buys, how she behaves is tracked and scored to show how responsible and trustworthy she is. It's called the social credit system. In one version now being tested, a person's reputation is scored on a scale of three fifty to nine fifty. And Halyuk, with a good score of seven fifty two, is okay with it. In fact, most people are. It's a mechanism, like, pushes you to become a better citizen. It's big data meets big brother, expanding how the government monitors, understands, and ultimately controls its 1,400,000,000 citizens. Thanks to advances in artificial intelligence and facial recognition Glasses. And a web of more than 200,000,000 surveillance cameras. Are people bothered by privacy concerns? We think, it's a lot of camera Keep the safety. It's really good. We can accept it. Companies are experimenting with the algorithms to help the government create the new national social credit system. The government also has pilot projects. In one, citizens are required to do hours of unpaid work to get benefits, and scores are docked for things like littering, a messy yard, gossip, even jaywalking. Video of offenders is shown on the local news. And information collectors like Jo Ai Ni are paid to report on their neighbors. Her quota, 10 injuries a month. Like the man who carried a drunk person home. A good deed, she says. Good social credit gets rewarded with perks like cheap loans and travel deals, but a bad score means public shame and worse. Hwang Hwaijun lost a court case and didn't pay. Now he's on a government blacklist. Beautiful. I can't buy airplane or train tickets, he says. And the list goes on. Being discredited makes it hard to get a job or put kids in top schools. The social credit system will go nationwide next year, and few here are willing to criticize it. Something that may pose a risk itself for a bad score and the life that comes with it. Janice Mackie Frayer, NBC News, Beijing.

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.

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In this video, Brian Erch demonstrates the Rapid Information Overlay Technology (RIOT) cyber tracking system. He integrates social networking websites like Facebook, Twitter, Goala, and Foursquare to track an employee named Nick Kneese. Using the RIOT Object Browser, Brian searches for Nick's information and finds his check-in locations on a KML file. He also retrieves pictures taken by Nick and locates them on Google Earth. Brian then predicts Nick's future whereabouts by analyzing his top check-in places. The video concludes with a demonstration of the graphical RIOT Object Browser, which visualizes the relationships between objects and provides additional information about Nick's interactions on Twitter and linked phone numbers.

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 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.

The speaker discusses a program called VERIFAST, describing it as facial recognition that requires users to scan their face when applying for an apartment or buying a house. They claim you must move your face left and right and have the biometrics uploaded into a database in order to rent or purchase a property. The speaker notes that in Arizona, many apartment complexes are rolling this out, questioning why there is a need to scan faces and suggesting it’s concerning that politicians or people who defend them are not being scanned while ordinary citizens are. The speaker also mentions Discord as discussing this with kids, calling that sickening, and claims Etsy is doing something similar to process payments, requiring a face scan that involves moving the face left and right. They compare the situation to a concept from the “mark of the beast,” expressing concern that voluntary consent without objection could lead to a troubling future. The speaker urges listeners to look up VERIFAST and to resist if someone tries to impose this practice, using a defensive, PG-friendly phrasing. Overall, the main points are: - VERIFAST is described as a facial-recognition system requiring a face scan with left-right movement to access housing-related transactions, with biometrics uploaded to a database. - In Arizona, the technology is allegedly being rolled out by apartment complexes. - The speaker questions why politicians’ faces aren’t scanned and highlights perceived inconsistencies in who is subjected to the system. - Discord is mentioned as discussing this issue with children, and Etsy is claimed to be implementing a similar facial-scan payment verification. - The speaker draws a controversial parallel to the mark of the beast and warns that consent without vocal objection could lead to a troubling future. - listeners are urged to look up VERIFAST and push back if pressured to participate.

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.

The speaker believes their company is the premier one for developing and scaling products to billions of people and is leading in the next generation of computing platforms with glasses that are doing exceptionally well. They think glasses will be the best form factor for AI because they can see and hear what you do, and once a display and holograms are added, they'll generate a UI. The speaker envisions a future where AI glasses observe your life and follow up on things for you, providing information in real time. They believe not having AI glasses will create a cognitive disadvantage, similar to needing vision correction and not having optical glasses. The company is also focused on entertainment, culture, and personal relationships, believing AI can be valuable in these areas.

Researchers used AI to reconstruct images of human beings from Wi-Fi radio signals. They trained an AI using camera images of people in a space alongside corresponding Wi-Fi signals, teaching it to predict human locations. After training, the camera was removed, leaving the AI to rely solely on radio signals. The AI was then able to reconstruct real-time 3D pose estimations. This effectively turns Wi-Fi routers into cameras capable of tracking living beings, even in the dark.

"You know, in the near future, we're all going to be working around with AI assistance, helping us in our daily lives that we're going to be able to interact with through various smart devices including smart glasses and things like that, through voice and through various other ways of interacting with them." "So, I have smart glasses with cameras and displays in them, etcetera." "Currently, you can have smart glasses without displays, but soon the displays will exist." "Right now they exist." "They're just too expensive to be commercialized." "This is the Orion demonstration built by our colleagues at Meta." "So, future is coming and the vision is that all of us will be basically working around with AI assistants all our lives." "It's like all of us will be kind of like a high level CEO or politician or something, running around with a staff of smart virtual people working for us." "That's kind of the possible picture."