𝚂𝚞𝚛𝚟𝚎𝚒𝚕𝚕𝚊𝚗𝚌𝚎 𝚂𝚝𝚊𝚝𝚎 𝚁𝚎𝚙𝚘𝚛𝚝 @SurvRep

@MidwestSafetyYT

Shane B. Murphy @shanermurph

2 days ago

#Louisiana “A DUI suspect faces multiple charges after he ran into a Louisiana swamp to escape law enforcement officers and was attacked by an alligator, according to the St. Charles Parish Sheriff’s Office.”

6 2 32 3K 6

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

3 weeks ago

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

63 399 2K 250K 157

@Rainmaker1973 @serpentza

@XBOX NeXbox coming just in time for GTA VI, huh? 🔮

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.

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-jud…

@s2_underground Happy Easter, to all! Christ has risen!

@mrbcyber @serpentza

RIP

BNO News @BNONews

3 months ago

BREAKING: Chuck Norris has died at 86, his family says

keyboard_arrow_left Previous keyboard_arrow_right Next

91 240 1K 197K 58

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: >🚶 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." > 🚗 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. > 🏠 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. > 🥽 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. >📍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. >🏃 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. > 🛰️ 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. Pokémon 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

3 months ago

This is wild. 143 million people thought they were catching Pokémon. 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 Pokémon Go have produced a dataset of over 30 billion

2K 24K 106K 14.1M 33K

They're doing drone strikes with a KANBAN board and story points

Palantir @PalantirTech

3 months ago

"This is Maven Smart System—Palantir’s software as a service product that we are deploying across the entire department."

439 2K 11K 5.5M 7K

A new Chinese Communist party propaganda campaign has kicked off and they have instructed their propagandists to post the exact same thing.

Everyone’s missing the real story here. Meta’s Ray-Ban glasses need human data annotators to train the AI. When you say “Hey Meta” and ask the glasses to analyze something, that video gets sent to Meta’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 “we see everything, from living rooms to naked bodies.” Meta’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 Meta’s terms of service is one sentence doing enormous legal work: the company reserves the right to conduct “manual (human) review” of your AI interactions. That’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 you’re seeing, you’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 Meta’s glasses footage. Same workforce. Same rates. Meta markets these glasses as “designed with your privacy in mind.” The privacy design is a tiny LED light on the frame that most people don’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 can’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

3 months ago

why the fuck meta employees watching videos their users are taking

839 3K 27K 6.9M 2K

🚨 أدوات المراقبة والتجسس مخيفة.. شاهدوا هذا الفيديو فيديو يظهر تطور خارق لتقنيات التجسس، ويظهر هذا الفيديو عرض لمراقبة من عام 2012 ويكشف مدى سهولة وكالات الاستخبارات في تتبع سيارة واحدة في الوقت الفعلي. وبلا شك قدرات المخابرات اليوم أكثر تقدماً ودقة.

@s2_underground Are you asking me if it’s ethical to lie?

Video showing a CJNG drone dropping explosives in Michoacán possibly against CU. Source: @mexicannarcos

BREAKING: Iranian strike hits Dubai International Airport

@IRIran_Military Seriously dude! Anyone can check on the status of Hormuz.

WATCH: Missile debris falls in Qatar’s capital Doha, causing a large explosion