๐š‚๐šž๐š›๐šŸ๐šŽ๐š’๐š•๐š•๐šŠ๐š—๐šŒ๐šŽ ๐š‚๐š๐šŠ๐š๐šŽ ๐š๐šŽ๐š™๐š˜๐š›๐š

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๐š‚๐šž๐š›๐šŸ๐šŽ๐š’๐š•๐š•๐šŠ๐š—๐šŒ๐šŽ ๐š‚๐š๐šŠ๐š๐šŽ ๐š๐šŽ๐š™๐š˜๐š›๐š banner
๐š‚๐šž๐š›๐šŸ๐šŽ๐š’๐š•๐š•๐šŠ๐š—๐šŒ๐šŽ ๐š‚๐š๐šŠ๐š๐šŽ ๐š๐šŽ๐š™๐š˜๐š›๐š

๐š‚๐šž๐š›๐šŸ๐šŽ๐š’๐š•๐š•๐šŠ๐š—๐šŒ๐šŽ ๐š‚๐š๐šŠ๐š๐šŽ ๐š๐šŽ๐š™๐š˜๐š›๐š

@SurvRep

News monitor | #4GW #5GW #conflict #espionage #IR #OSINT #security #SURVEILLANCE(!) #wargaming

๐Ÿ‡บ๐Ÿ‡ธ Katฤฑlฤฑm Temmuz 2017
66 Takip Edilen151 Takipรงiler
๐š‚๐šž๐š›๐šŸ๐šŽ๐š’๐š•๐š•๐šŠ๐š—๐šŒ๐šŽ ๐š‚๐š๐šŠ๐š๐šŽ ๐š๐šŽ๐š™๐š˜๐š›๐š retweetledi
Mrgunsngear
Mrgunsngear@Mrgunsngearยท
Cop uses Flock cameras & software to illegally track his mistress, his wife, his mistresses boyfriend, etc.... He is then suspended but keeps using the Flock (but I thought they were "secure" [they're not...]) system to unlawfully monitor these American citizens. He's eventually pleaded to misdemeanors (not felonies?) and got "3 years of informal probation." This is just one of thousands of cases where we know these systems are being unlawfully used - imagine how many times it's happening where we never hear about it... To see if you or your loved ones are being tracked you can check HaveIBeenFlocked dot com - that site can only track one type of search and the State can search the system in many, many different ways that aren't accessible without a contract so it's incomplete. Plan accordingly... #CivilRights #PoliceState #crime #decay #cops #gulag #4thAmendment #CarpenterVsUS #police #FailedState
Mrgunsngear@Mrgunsngear

The mass surveillance state spread quickly over the past couple years. Hopefully, as people realize the universal danger these systems present, the dots on the map will shrink as quickly as they appeared. Disseminate accordingly... #flock #4thAmendment #Surveillance #LPR #AI #HomeDepot #police #PoliceState #dystopya

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Massimo
Massimo@Rainmaker1973ยท
China has revealed a spherical police robot designed to autonomously pursue and immobilize criminals by shooting nets and rolling at speeds of up to 35 km/h.
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๐š‚๐šž๐š›๐šŸ๐šŽ๐š’๐š•๐š•๐šŠ๐š—๐šŒ๐šŽ ๐š‚๐š๐šŠ๐š๐šŽ ๐š๐šŽ๐š™๐š˜๐š›๐š retweetledi
BNO News
BNO News@BNONewsยท
BREAKING: Person who won more than $400,000 by betting on Maduro's removal has been identified as a U.S. soldier who participated in the operation. The soldier has now been arrested, according to ABC News.
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๐š‚๐šž๐š›๐šŸ๐šŽ๐š’๐š•๐š•๐šŠ๐š—๐šŒ๐šŽ ๐š‚๐š๐šŠ๐š๐šŽ ๐š๐šŽ๐š™๐š˜๐š›๐š retweetledi
OSINT Combine
OSINT Combine@osintcombineยท
OSINT runs on judgement calls made with incomplete information. Our latest blog looks at where AI fits into that reality. Where it helps, and where the analyst still has to carry the weight. Read it here: osintcombine.com/post/human-judโ€ฆ
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S2 Underground
S2 Underground@s2_undergroundยท
Happy Easter for those who celebrate Pascha today! May we all have a wonderful day! Christ is Risen!
S2 Underground tweet media
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Michael Ron Bowling
Michael Ron Bowling@mrbcyberยท
The data from the hack at the Chinese super computer center included missile schematics and fusion simulations. If, as claimed, the hacker had access to this information for months, it shows massive security issues. Along with the recent purges and weapons failures, this hack shows serious problems in China's military industrial complex.
Michael Ron Bowling tweet mediaMichael Ron Bowling tweet media
UnveiledChina@Unveiled_ChinaX

If this is real, it could be one of the largest data breaches in Chinaโ€™s history. A hacker group claims it extracted over 10 petabytes of data from a state-run supercomputing facility, widely believed by experts to be the National Supercomputing Center in Tianjin. This center supports thousands of clients, including research institutes, aerospace programs, and defense-linked organizations. Whatโ€™s reportedly in the data: - Documents marked โ€œsecretโ€ in Chinese - Missile and bomb schematics - Aerospace and aviation research - Bioinformatics and fusion simulation data - Files linked to major state entities like AVIC and COMAC Cybersecurity experts who reviewed sample data say it matches what you would expect from such a facility, though the full breach is not independently verified. Even more concerning: - The attacker claims access lasted months without detection - Sample datasets were posted online via Telegram - Full access is reportedly being sold for hundreds of thousands of dollars in crypto At this stage, the scale and origin are still being verified. But if even partially true, it points to a serious vulnerability in infrastructure tied to Chinaโ€™s scientific and defense ecosystem. If a centralized system like this can be penetrated, what does that say about the security of the data it was processing? #China #Cybersecurity #CCP #DataBreach #Geopolitics #Tech cnn.com/2026/04/08/chiโ€ฆ

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๐š‚๐šž๐š›๐šŸ๐šŽ๐š’๐š•๐š•๐šŠ๐š—๐šŒ๐šŽ ๐š‚๐š๐šŠ๐š๐šŽ ๐š๐šŽ๐š™๐š˜๐š›๐š retweetledi
Bilawal Sidhu
Bilawal Sidhu@bilawalsidhuยท
People are undoubtedly a little alarmed at having unwittingly helped build a 3D map of the world for Niantic by contributing 30 billion crowdsourced images. I interviewed Niantic's CTO Brian McClendon about exactly this in a TED interview last year -- he's also the guy who co-created Google Earth. But let's put it in perspective. Pokestop data isn't what you think it is. It's not a surveillance panopticon of your neighborhood. These are static captures of parks, statues, murals, landmarks -- the places people congregate. Brian described it as "building the map from the bottom up, from the locations where people spend time." Think of these 20 million waypoints as basically the inverse of what Google mapped with Street View. Google mapped the drivable streets. Niantic mapped where people actually hang out. Cool data, genuinely useful for visual positioning -- but very different from what the headlines imply. And lest we forget that Niantic is just one of many companies quietly building their own map of the world right now -- and they're all capturing different facets of reality: >๐Ÿšถ person-level: Axon body cams on hundreds of thousands of officers. Meta Ray-Ban glasses capturing first-person POV at scale -- overseas operators reviewing images every time someone says "Hey Meta." > ๐Ÿš— vehicle-level: Tesla dashcams on every car in the fleet, massive onboard compute extracting and distilling data to the cloud. Waymo with cm-accurate 3D maps of every city they operate in. Fleet telematics cameras on delivery vehicles globally. > ๐Ÿ  street & home-level: Flock Safety deploying CCTV across neighborhoods and cities. Amazon with Ring cameras on every doorstep and mailroom (recently got dragged over that Super Bowl commercial about fusing all these cams together to find your dog) plus dashcams on every Prime delivery van. Roomba mapping your floor plan every time it vacuums -- Amazon wanted that data badly enough to try acquiring iRobot for $1.7B before regulators shut it down. > ๐Ÿฅฝ headset-level: Apple Vision Pro and Meta Quest build a 3D model of whatever room you're in every time you put them on. Between Ring, Roomba, and your headset, your entire home is being spatially understood by at least three different companies. >๐Ÿ“platform-level: Google with Street View cars, aerial planes, satellite imagery, and live location from every Android phone in your pocket. Apple doing the same with mapping cars AND every LiDAR iPhone is quietly a 3D scanner. And yeah, despite the "Apple is too privacy-conscious" narrative, they're collecting location data too. >๐Ÿƒ trajectory-level: Strava mapped every running and cycling trail on Earth -- and accidentally exposed secret military bases in Afghanistan and Syria because soldiers logged their jogs. When you aggregate enough individual trajectories, patterns emerge that were never supposed to be visible. > ๐Ÿ›ฐ๏ธ space-level: Planet Labs imaging the entire Earth's landmass every single day from orbit. Vantor capturing it in higher detail. Iceye doing it in 3D using SAR. If something changes anywhere on the planet -- a building goes up, a forest burns down, a military convoy moves -- before-and-after imagery within 24 hours. Fused together -- we have everything from body cam to dashcam to doorbell to phone to satellite -- every layer of physical reality is being mapped by somebody right now. Different sensors, different angles, different purposes. Same pattern. The interesting part is how they incentivize it. Google spends billions. Mapillary tried altruism. Hivemapper grinds with crypto. Pokรฉmon GO cracked something none of them could: a game mechanic that subsidizes the scanning behavior. You're not building a map. You're catching pokemon. The map is just a side effect. 3D scanning is still a niche hobby for reality capture nerds like me. The moment somebody gamifies dense 3D capture at scale -- not posed photos but actual geometry -- that's when this blows wide open. Niantic sold the games for $3.5B but kept the spatial platform, with a data-sharing agreement in place. One team makes the game great, the other builds the spatial infrastructure underneath. Incentives finally aligned. Gaming is becoming a way for humans to contribute real-world trajectories that help physical AI learn about the real world. Google does it with live traffic. Tesla does it with autopilot. The mechanic is different but the pattern is identical -- and most people are already part of at least one -- if not a majority -- of these datasets whether they realize it or not.
Mark Gadala-Maria@markgadala

This is wild. 143 million people thought they were catching Pokรฉmon. They were actually building one of the largest real-world visual datasets in AI history. Niantic just disclosed that photos and AR scans collected through Pokรฉmon Go have produced a dataset of over 30 billion real-world images. The company is now using that data to power visual navigation AI for delivery robots. Players didn't just walk around with their phones. They scanned landmarks, storefronts, parks, and sidewalks from every angle, at every time of day, in lighting and weather conditions that staged photography would never capture. They documented the physical world at a scale no mapping company with a fleet of vehicles could have replicated on the same timeline or budget. Niantic collected this systematically, data point by data point, across eight years, while users thought the only thing at stake was catching a rare Charizard. The most valuable AI training datasets in the world aren't being assembled in data centers. They're being built by people who have no idea they're building them.

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๐š‚๐šž๐š›๐šŸ๐šŽ๐š’๐š•๐š•๐šŠ๐š—๐šŒ๐šŽ ๐š‚๐š๐šŠ๐š๐šŽ ๐š๐šŽ๐š™๐š˜๐š›๐š retweetledi
Matt
Matt@matt503ea5sf9z5ยท
They're doing drone strikes with a KANBAN board and story points
Palantir@PalantirTech

"This is Maven Smart Systemโ€”Palantirโ€™s software as a service product that we are deploying across the entire department."

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๐š‚๐šž๐š›๐šŸ๐šŽ๐š’๐š•๐š•๐šŠ๐š—๐šŒ๐šŽ ๐š‚๐š๐šŠ๐š๐šŽ ๐š๐šŽ๐š™๐š˜๐š›๐š retweetledi
Winston Sterzel
Winston Sterzel@serpentzaยท
A new Chinese Communist party propaganda campaign has kicked off and they have instructed their propagandists to post the exact same thing.
Winston Sterzel tweet media
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๐š‚๐šž๐š›๐šŸ๐šŽ๐š’๐š•๐š•๐šŠ๐š—๐šŒ๐šŽ ๐š‚๐š๐šŠ๐š๐šŽ ๐š๐šŽ๐š™๐š˜๐š›๐š retweetledi
Aakash Gupta
Aakash Gupta@aakashguptaยท
Everyoneโ€™s missing the real story here. Metaโ€™s Ray-Ban glasses need human data annotators to train the AI. When you say โ€œHey Metaโ€ and ask the glasses to analyze something, that video gets sent to Metaโ€™s servers, then routed to Sama, a subcontractor in Nairobi, Kenya. Workers there manually label objects in your footage. They see everything you recorded, intentionally or not. 7 million pairs sold in 2025 alone. Every single pair generates training data that flows through human eyes in Kenya. Workers told Swedish journalists they see people undressing, using bathrooms, having sex, and accidentally filming bank card details. One worker said โ€œwe see everything, from living rooms to naked bodies.โ€ Metaโ€™s automatic face anonymization is supposed to protect people in the footage. Workers say it fails in certain lighting. Faces that should be blurred are sometimes fully visible. The person you recorded without knowing? A stranger in Nairobi can identify them. Buried in Metaโ€™s terms of service is one sentence doing enormous legal work: the company reserves the right to conduct โ€œmanual (human) reviewโ€ of your AI interactions. Thatโ€™s the legal cover for routing intimate footage from Western homes to a $2/hour labor force operating under NDAs, office surveillance cameras, and a strict no-questions policy. Workers say if you raise concerns about what youโ€™re seeing, youโ€™re fired. This is the same company, Sama, that TIME exposed in 2023 for paying Kenyan workers $2/hour to label graphic content for OpenAI while being billed at $12.50/hour per worker. Workers described the experience as torture. Sama ended that contract, then pivoted to labeling Metaโ€™s glasses footage. Same workforce. Same rates. Meta markets these glasses as โ€œdesigned with your privacy in mind.โ€ The privacy design is a tiny LED light on the frame that most people donโ€™t notice. The data pipeline behind it routes your bedroom footage to a contractor with a documented history of worker exploitation, failed anonymization, and union-busting lawsuits. And the next generation of these glasses? Meta is planning to add facial recognition. The same system that canโ€™t reliably blur faces in training data wants to start identifying them on purpose. The LED light on the frame is doing about as much for your privacy as the terms of service nobody reads.
Shibetoshi Nakamoto@BillyM2k

why the fuck meta employees watching videos their users are taking

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๐š‚๐šž๐š›๐šŸ๐šŽ๐š’๐š•๐š•๐šŠ๐š—๐šŒ๐šŽ ๐š‚๐š๐šŠ๐š๐šŽ ๐š๐šŽ๐š™๐š˜๐š›๐š retweetledi
ุฃูŠู…ู† ุงู„ุบุจูŠูˆูŠ Ayman Alghibiwi
๐Ÿšจ ุฃุฏูˆุงุช ุงู„ู…ุฑุงู‚ุจุฉ ูˆุงู„ุชุฌุณุณ ู…ุฎูŠูุฉ.. ุดุงู‡ุฏูˆุง ู‡ุฐุง ุงู„ููŠุฏูŠูˆ ููŠุฏูŠูˆ ูŠุธู‡ุฑ ุชุทูˆุฑ ุฎุงุฑู‚ ู„ุชู‚ู†ูŠุงุช ุงู„ุชุฌุณุณุŒ ูˆูŠุธู‡ุฑ ู‡ุฐุง ุงู„ููŠุฏูŠูˆ ุนุฑุถ ู„ู…ุฑุงู‚ุจุฉ ู…ู† ุนุงู… 2012 ูˆูŠูƒุดู ู…ุฏู‰ ุณู‡ูˆู„ุฉ ูˆูƒุงู„ุงุช ุงู„ุงุณุชุฎุจุงุฑุงุช ููŠ ุชุชุจุน ุณูŠุงุฑุฉ ูˆุงุญุฏุฉ ููŠ ุงู„ูˆู‚ุช ุงู„ูุนู„ูŠ. ูˆุจู„ุง ุดูƒ ู‚ุฏุฑุงุช ุงู„ู…ุฎุงุจุฑุงุช ุงู„ูŠูˆู… ุฃูƒุซุฑ ุชู‚ุฏู…ุงู‹ ูˆุฏู‚ุฉ.
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S2 Underground
S2 Underground@s2_undergroundยท
During the Global War on Terrorism, was it morally justified for journalists to deliberately lie and conceal American combat losses from the American people? Even in cases where there was no operational security risks that would be exposed by doing so?
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๐š‚๐šž๐š›๐šŸ๐šŽ๐š’๐š•๐š•๐šŠ๐š—๐šŒ๐šŽ ๐š‚๐š๐šŠ๐š๐šŽ ๐š๐šŽ๐š™๐š˜๐š›๐š retweetledi
All Source News
All Source News@All_Source_Newsยท
Video showing a CJNG drone dropping explosives in Michoacรกn possibly against CU. Source: @mexicannarcos
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๐š‚๐šž๐š›๐šŸ๐šŽ๐š’๐š•๐š•๐šŠ๐š—๐šŒ๐šŽ ๐š‚๐š๐šŠ๐š๐šŽ ๐š๐šŽ๐š™๐š˜๐š›๐š retweetledi
BNO News Live
BNO News Live@BNODeskยท
BREAKING: Iranian strike hits Dubai International Airport
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๐š‚๐šž๐š›๐šŸ๐šŽ๐š’๐š•๐š•๐šŠ๐š—๐šŒ๐šŽ ๐š‚๐š๐šŠ๐š๐šŽ ๐š๐šŽ๐š™๐š˜๐š›๐š retweetledi
BNO News Live
BNO News Live@BNODeskยท
WATCH: Missile debris falls in Qatarโ€™s capital Doha, causing a large explosion
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๐š‚๐šž๐š›๐šŸ๐šŽ๐š’๐š•๐š•๐šŠ๐š—๐šŒ๐šŽ ๐š‚๐š๐šŠ๐š๐šŽ ๐š๐šŽ๐š™๐š˜๐š›๐š retweetledi
The Associated Press
The Associated Press@APยท
Israeli Prime Minister Benjamin Netanyahu said in a TV address that "there are growing signs" that Iranian Supreme Leader Ayatollah Ali Khamenei is dead after strikes targeted him. Iranian's foreign minister earlier said that Khamenei is alive โ€œas far as I know." apnews.com/live/live-updaโ€ฆ
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