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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.

The transcript asserts that the Moderna technology used in COVID shots is described in a 248-page patent filed in 2020, which lists several embodiments or variations of the technology. It states that although it is unknown which embodiment each batch used, several different batch numbers were deployed, and some were far deadlier than others. According to the Moderna patent, the technology contains self-assembled nanoparticles, and in certain variations these nanoparticles can be used for the controlled release of compounds once they are in the human body. The lipid nanoparticles are encapsulated into a polymer hydrogel, a controlled release coating that includes polyvinyls. This has been verified by Anna Mielchia and Clifford Karnikom's research. In a 2013 TEDMED talk, Doctor Ito Bachelet says that these nanorobots have already been successfully developed in Israel and that they can be injected into the human body with a basic syringe. He shows an image of what they look like, and they appear to be the same structures that the fifth column found in their research and claimed was powered by five g, which was confirmed by doctor Bachelet. Speaker 1 adds that developed nanorobots carry antennas made from metal nanoparticles, and the antenna enable the nanobots to respond to externally applied electromagnetic fields, so these versions of nanobots can actually be activated with a press of a button on a joystick. The transcript further cites work by Todd Callender's team at Vaxchoice dot com, which has concluded that these shots contain a variety of synthetic pathogens that can be released with external five g frequencies. It states that the Moderna patent describes these nanoparticle mimics, which mimic the delivery of a variety of pathogens and lists over a hundred of them within the patent. According to the work at Vaxchoice, these synthetic pathogens each have an IP address. They are cataloged by the Department of Energy, and they use cesium-137, which the transcript claims we have been contaminated with from the environment, as a building block for their construction within our bodies using external frequency. The research allegedly shows that the Microsoft patent filed in 2020-06-06 060606 cryptocurrency system using body activity data is now in effect and that this technology is turning the human body into an antenna, which can output energy, meaning that humans are being turned into batteries to fuel the digital AI prison that is being built around us. And it is claimed that if you choose not to comply, the technology includes a built-in kill switch. The transcript closes by noting that independent researchers and scientists are uncovering this agenda, but they continue to walk freely among us, unrestrained by any justice whatsoever.

They used a camera and radio signals to predict people's locations. After removing the camera, AI used only radio signals to reconstruct real-time 3D pose estimation, essentially turning WiFi routers into night vision cameras for tracking living beings.

Smart dust, a concept developed by the military, could enable tracking of anything, including people. Originating from DARPA in the 1990s, this technology features the Mu chip from Hitachi, the smallest RFID system, which can be scattered like dust or embedded in paper. It operates without a battery and can monitor individuals internally and externally. These nanoparticles evade the immune system, remaining undetected in the body. With widespread computing and connectivity, combined with AI capabilities, it’s possible to understand and influence people in unprecedented ways. The transhumanism movement seeks to enhance human abilities through radical technological modifications.

An AI system was developed using camera footage of people in a space, combined with Wi-Fi router sonar data, to predict human locations. The camera was then removed, leaving the AI with only radio signal data. The AI was able to reconstruct real-time 3D pose estimations using only the language of radio signals. This effectively turns every Wi-Fi router into a camera that works in the dark and is specifically designed for tracking living beings.

A collaboration focused on creating a brain robotic interface for soldiers. They developed a headset using HoloLens 2 and a Raspberry Pi AI decoder to translate brain signals into instructions. The technology can be used with various autonomous systems. Two demonstrations were conducted successfully. In the first, a soldier commanded a Vision 60 Ghost Robot to follow waypoints. In the second, a soldier acted as a section commander, giving directions to robots and team members during a simulated patrol clearance. The technology allows the soldier to control the robots, monitor their video feed, and be aware of the surroundings. The team is excited about the future possibilities and aims to develop more use cases to support the military.

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.

Artificial intelligence has made it possible to decode brain activity, allowing us to monitor attention using wearable devices like ear pods. These ear pods can detect brainwave activity and determine if someone is paying attention or their mind is wandering. Furthermore, they can even distinguish between different types of tasks, such as programming, writing documentation, or browsing social media. When combined with other surveillance technology, this monitoring becomes highly accurate. There are potential positive applications for this technology, such as using brainwave technology to help people regain focus. For example, MIT Media Lab has developed a haptic scarf that gives a gentle buzz to refocus attention. It is important to consider the possibilities and not immediately dismiss or ban this technology.

Smart Dust, initially developed by the military, is a technology that enables tracking of anything, including individuals. Originating in the 1990s, it features the Mu chip from Hitachi, the smallest RFID system, which can be scattered like dust or embedded in materials. This chip operates without a battery and can monitor individuals both externally and internally. The nanoparticles are designed to evade the immune system, remaining undetected in the body. With widespread computing and connectivity, combined with AI, there's potential to analyze vast amounts of data, allowing for a deeper understanding of individuals, potentially leading to manipulation in unprecedented ways. Additionally, transhumanism is an emerging movement focused on leveraging technology for human enhancement.

Our technology can detect people's emotions even if they don't show them on their faces. Using a wireless device, we analyze the reflections it captures from a person's body to infer their emotions. By focusing on the minute variations in breathing and heartbeat, our algorithms extract these signals and feed them into a machine learning algorithm. With an accuracy of 87%, our device can automatically recognize if a person is excited, angry, sad, or happy. We believe this technology, called EQ Radio, has various applications. It can help movie makers evaluate user experience, enable smart environments to detect emotional states like depression, and even adjust lighting or music based on our moods. To learn more, please check out our research.

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.

We're showcasing AI pose estimation and real-time ray tracing at SIGGRAPH 2019. With just an iPad, a Hollywood producer can instantly see how a scene will look in a ray-traced environment. This demonstration features an attendee transformed into an astronaut. We have over 40 ray-traced applications running on NVIDIA RTX.

Speaker 0 argues that tin foil hats actually work and demonstrates how a small amount of aluminum foil can reduce RF electromagnetic fields (RFEMF) from a WiFi router. He shows a RFEMF meter reading standing a few feet away from the router, noting measurements between 100 and 200 microwatts per square meter. As he moves right up to the WiFi router, the reading climbs to over a million, sometimes 2,000,000 microwatts per square meter. He states that generally you want to be working and living in an environment that's less than a 100 or 200 microwatts per square meter. He shares that when he is sitting ten to fifteen feet away, the reading is 18,000 to 20,000 microwatts per square meter. He asserts that this is not an environment he wants to be working in all day. Mentioning that there is a lot of debate about RFEMF and its harm to humans, he says there are a significant number of studies suggesting that RFEMF from a WiFi router or your phone can affect human biology negatively. The proposed solution is to wrap the router with aluminum foil. He states, “Literally just wrap this around the WiFi router, and now you're officially a conspiracy theorist. It's modern art,” yet demonstrates the result. After wrapping around the router, the reading between 500 and 1,000 microwatts per square meter is observed, representing a 10- to 20-fold reduction. He notes that right before wrapping, the reading was 100,000 microwatts per square meter, and after wrapping it, the reading is five to 7,000 microwatts per square meter just in front of the router. He emphasizes that the router remains still very high right at the device, but that the levels are significantly lower throughout the rest of the house. He concludes by stating, “Tinfoil hats work. 5¢ of tinfoil on your WiFi router, something that's in every home, can significantly decrease your exposure throughout the day while you're working.” He ends by encouraging viewers to send this to somebody they know who works very close to a WiFi router.

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.

Researchers conducted experiments to decode human thoughts by having participants watch a video and narrate their inner monologue. They successfully reconstructed the person's thoughts based on their narration. This has implications for authoritarian states and generating pleasure-inducing images. Additionally, the researchers explored using WiFi radio signals to track human movements. By combining camera footage with radio signals, they were able to predict the location of individuals in real time. This effectively turns every WiFi router into a camera capable of tracking living beings in the dark.

Speaker 0 introduces the concept: with this hack, your TV can watch you, as the TV is turned into a device that can monitor your surroundings while you watch. Speaker 1 explains how this is possible: by abusing the smart TV platform’s browser to gain access to the camera built into the TV. With a small amount of extra code, the camera can be turned on within the browser. This is designed so that viewers can see the camera feed, and it can run invisibly behind the web page you are looking at. Speaker 0 emphasizes the practical implication: you could be sitting in one place, such as watching TV from your bedroom, while someone elsewhere—potentially anywhere in the world—views the image of you watching. Speaker 1 confirms this scenario with an example: a person could be on a laptop in a cafe in Paris, and as long as they have a network connection, they could access your TV and the camera feed. Speaker 2 highlights a particularly alarming aspect: there is no indication that the camera is on, and there is no LED light to signal activity. As a result, the camera could be watching you without your knowledge. Speaker 0 asks what defines a smart TV and why it is attractive as a target for hackers. Speaker 2 responds by reframing the smart TV as a computer: it is not just a television, but a device that includes a web browser and runs Linux. Speaker 1 points to a more dangerous possibility: when people use smart TVs for activities like online banking, attackers could translate a legitimate bank address into a different IP address leading to a site controlled by the attacker, creating a phishing-like scenario where a user enters a username and password that goes to the attacker instead of the bank. Speaker 0 conveys Samsung’s response in a CNN Money statement: Samsung says it takes consumer privacy very seriously. They offer a hardware countermeasure by enabling the camera to be turned into the bezel of the TV so that the lens is covered or disabled by pushing the camera inside the bezel. The TV owner can also unplug the TV from the home network when smart TV features are not in use. As an additional precaution, Samsung recommends customers use encrypted wireless access points when using connected devices.

Researchers have developed a method using AI that can turn Wi-Fi routers into cameras. By combining camera footage with radio signals, they trained the AI to predict the location of people in a room. They then removed the camera and relied solely on the radio signals to reconstruct real-time 3D pose estimation. This means that Wi-Fi routers can now track living beings even in the dark, essentially transforming them into night vision cameras.

A person demonstrates glasses that identify people using facial recognition and AI. When the glasses detect a face, they scour the internet for pictures of that person and use data sources like online articles and voter registration databases to find their name, phone number, home address, and relatives' names. This information is then fed back to an app on the user's phone. The demonstrator approaches a woman and the glasses identify her as being involved with the Cambridge Community Foundation. The glasses also identify a second person as Khashik, whose work the demonstrator has read. The glasses correctly identify the second person's address, attendance at Yale's Young Global Scholar Summer Program, and parents' names.

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.

Researchers at the National University of Singapore are using AI to interpret brain activity and generate images based on thoughts. By analyzing fMRI scans, the AI can recreate images seen by subjects. This technology has potential applications in restoring lost senses and understanding consciousness. However, concerns arise about the misuse of this technology for monitoring and judging individuals based on their brain activity. The team leader emphasizes the need for privacy laws before commercializing such technology. Mind reading, while promising, poses ethical challenges in its real-world applications.