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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.

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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.

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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.

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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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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.

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My girlfriend is on a call in the living room, while she's gaming. I use my AI clone, Pickle, which takes calls for me when I'm away from the webcam. This is my actual webcam. If you want your own personalized AI clone, visit getpickle.ai.

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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.

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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.

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They push back on critics who say they can't investigate online, declaring "We're FBI agents. We're the investigators." They highlight Blake Bednar's rise—from about 500 to 23,700 followers—saying "he deserved... a 100." They discuss the Meta Glasses story: "the button on these glasses... it's on the right side" and "hit it once... that is a picture" and "hold it down... record." They say "snapping photos... for confirmation" to use facial recognition to verify a target, and note Blake "jump over to rescue Charlie Kirk" while wearing Meta glasses, "standing over his body." Speaker 2 confirms the sunglasses case: a security guard wearing "meta Ray Bans" records over Charlie's body. They critique the FBI/media narrative about a trans shooter and speculate Candice may reveal GPS and receipts to challenge the timeline, ending with "Save me the fucking lecture."

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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.

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This is Amani Brahim from DeepTrust, introducing CapOrNot. It's a bot I built using the DeepTrust speech alpha model to detect deep fake voices on Twitter. To use it, tag the bot in a video you want to fact check. It will respond with a speech analysis output, including an average score and a heat map showing where it detects deepfake content. In an example, the bot correctly identifies a silent portion of the video. It's a cool tool.

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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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I'm using my Vision Pro, and this is my AI clone lip syncing to my voice in real time. This AI takes my audio input and generates a video of me speaking instantly. You can create your own AI clone by uploading a three-minute video of yourself. In 24 hours, you'll receive your clone. By switching the camera, you can use your clone in meetings while you relax. It's that easy!

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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"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."

The Megyn Kelly Show

Dems' "Dark Brandon" Scare Tactics, And AI Facial Recognition Tech, with Jesse Kelly & Kashmir Hill
Guests: Jesse Kelly, Kashmir Hill
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Megyn Kelly opens the show discussing a recent bipartisan effort in New Hampshire, where twelve Democratic lawmakers joined Republicans to pass a bill banning gender-affirming surgeries for minors. She expresses concern over the implications of such surgeries and praises the Democrats who crossed the aisle. The conversation shifts to the political landscape, highlighting Joe Biden's 2024 campaign strategy, which focuses on attacking Donald Trump rather than promoting his own record. Jesse Kelly joins the discussion, emphasizing the effectiveness of this strategy despite his disdain for it. They discuss the challenges Trump faces, including legal issues and the media's portrayal of him, which may hinder his chances in the upcoming election. Kelly expresses skepticism about the optimism surrounding Trump's potential victory, citing the systemic efforts to undermine him. The conversation touches on the left's tactics of using social shame to silence dissent and the dangers of labeling individuals based on race or ideology. The hosts then shift to the recent firing of Claudine Gay from Harvard, discussing the implications of her removal and the reactions from various political factions. They note that while some view it as a victory for the right, others see it as a loss for diversity and representation. The discussion highlights the complexities of race and politics in America, particularly regarding the Democratic Party's reliance on the black vote. Kashmir Hill, a journalist specializing in technology and privacy, joins to discuss her book on Clearview AI, a facial recognition company. Hill explains how the technology works and its implications for privacy, particularly for vulnerable populations like domestic violence victims. She shares her experiences investigating the company, including its secretive nature and the ethical concerns surrounding its use of facial recognition technology. The conversation delves into the potential for misuse of such technology, including its application in law enforcement and the risks of wrongful arrests based on facial recognition matches. Hill emphasizes the need for individuals to be aware of their digital footprint and the importance of privacy protections. They conclude by discussing the broader societal implications of facial recognition technology and the need for vigilance in protecting personal privacy in an increasingly surveilled world.

Coldfusion

Google Duplex A.I. - How Does it Work?
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Google Duplex is an extension of Google Assistant that can make phone calls to schedule appointments. It utilizes a deep neural network built on WaveNet technology, allowing it to engage in realistic conversations. Duplex has been trained specifically for booking and inquiries, not general conversation. The public reaction has been mixed, with concerns about transparency. Duplex uses recurrent neural networks to understand context and handle interruptions. While it has passed a narrow version of the Turing test, its future applications remain uncertain. Overall, Duplex represents a significant advancement in AI technology.

TED

The Next Computer? Your Glasses | Shahram Izadi | TED
Guests: Shahram Izadi
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Shahram Izadi discusses the convergence of AI and extended reality (XR), highlighting advancements in augmented and virtual reality over the past 25 years. Innovations in AI, particularly large language models, have enhanced real-time interactions and contextual understanding. He introduces Android XR, developed with Samsung, which integrates AI with XR hardware. Demonstrations include smart glasses that assist with tasks like translation and memory recall, and headsets that provide immersive experiences. The future envisions lightweight XR devices that enhance human intelligence, making technology more personal and conversational, ultimately transforming how we interact with the world.

Unlimited Hangout

Stopping the Surveillance State with Derrick Broze
Guests: Derrick Broze
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The discussion links the ongoing COVID-19 crisis to a broader expansion of the US surveillance state, highlighting biometrics, mass digitalization, and AI as accelerants. The guests outline how facial recognition and related technologies are being deployed by both public agencies and private contractors, expanding the reach of surveillance across everyday life. Clearview AI is described as a private company building a large facial‑recognition database shared with law enforcement. Its CEO cites a 26% increase in police use and a growing roster of clients, with about a quarter of US police departments already using the tech. The company faces lawsuits in Illinois under the Biometric Information Privacy Act, and the broader context includes NYT attention and debates about privacy, consent, and public awareness. Broze argues biometrics extend beyond faces to gait and other traits, and he notes real‑world concerns from a store in Mexico employing camera‑based temperature checks that could also store face prints. The conversation then ties this to Peter Thiel’s network, including Palantir, Oculus founder Palmer Luckey, and Moldbug/Curtis Yarvin, suggesting a pervasive influence on surveillance and security programs. Broze connects Palantir’s post‑Trump expansion with broader neocon and technocratic circles, arguing these networks shape defense, intelligence, and domestic security policies. On border security, the speakers describe Trump’s push for a biometric, “smart” wall comprising facial-recognition cameras, license-plate readers, drones, and even DNA collection. They discuss expanded border‑patrol powers to seize devices and inspect them, the concept of a constitution‑free zone extending inland (roughly 100 miles), and the involvement of foreign contractors like Elbit Systems. Biden’s continuity is anticipated, with biometric expansion continuing. The dialogue shifts to social media data, biometric scraping, and predictive analytics, noting MITRE’s capability to extract fingerprints from images and the growth of Clearview‑style databases. They reference social-credit‑style effects already appearing, including a 32% figure from a Kaspersky report about social media affecting loans or jobs. Broze’s book How to Opt Out of the Technocratic State anchors the Solutions segment, drawing on Konkin’s Agorism and counter-economics. He describes “exit and build” and “hold down the fort” as paths to resilience, plus a warning that apathy is death. The Greater Reset and a forthcoming 14‑part documentary, The Pyramid of Power, are cited as efforts to surface practical solutions—growing food, alternative currencies, digital defensibility, and local organizing via freedom cells. The hosts emphasize tangible steps in a world of pervasive surveillance and expanding biotech infrastructure, urging active, solution‑oriented resistance.
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