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Meta announces Aria Everyday Activities Dataset present Aria Everyday Activities (AEA) Dataset, an egocentric multimodal open dataset recorded using Project Aria glasses. AEA contains 143 daily activity sequences recorded by multiple wearers in five geographically diverse indoor locations. Each of the recording contains multimodal sensor data recorded through the... show more

AK

524,784 subscribers

71,225 views • 2 years ago •via X (Twitter)

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8 Comments

AK2 years ago

paper page:

Zhaoyang Lv2 years ago

Thanks for sharing! Here is the thread of the paper for more information of the AEA dataset with visuals:

Emily2 years ago

I hope we have a comprehensive dataset by the end of the year; it seems like this year will be about new architecture and data quality and next year about progress in intelligence.

Petra2 years ago

🥵🥵

Ned2 years ago

Now that is something in the right direction.

MingfeiYan2 years ago

@AIatMeta

Joannot Fampionona2 years ago

Seems to me that they don't really do that for AR or VR, I think the main goal here is definitely robotics.

Jostten2 years ago

Future’s about to get so crazy

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Thank you AK for sharing! Introducing our newest CVPR 2025 paper EgoLife: Towards Egocentric Life Assistant Homepage: Blog: Code: EgoLife is a project focused on building AI-powered egocentric life assistants. We invited 6 volunteers to live together for 7 days, capturing daily activities Project Aria @Meta smart glasses, which inspire 3K+ life-oriented, long-context Q&A pairs, and the development of EgoButler. 🔍 Meet EgoButler—our AI system that seamlessly integrates: 🧠 EgoGPT: A state-of-the-art vision-language model 📚 EgoRAG: A retrieval-augmented system for ultra-long-context queries EgoButler unlocks powerful capabilities, including: 🔹 Recall forgotten details from past experiences 🔹 Suggest plans by analyzing past events holistically 🔹 Reveal hidden habits users may overlook 🔹 Enhance relationships by tracking social interactions Checkout our code, dataset, and demo: Code: Data: Demo: Together Let's pioneering the next era of AI companionship! #AI #EgocentricAI #EgoLife

Thank you AK for sharing! Introducing our newest CVPR 2025 paper EgoLife: Towards Egocentric Life Assistant Homepage: Blog: Code: EgoLife is a project focused on building AI-powered egocentric life assistants. We invited 6 volunteers to live together for 7 days, capturing daily activities Project Aria @Meta smart glasses, which inspire 3K+ life-oriented, long-context Q&A pairs, and the development of EgoButler. 🔍 Meet EgoButler—our AI system that seamlessly integrates: 🧠 EgoGPT: A state-of-the-art vision-language model 📚 EgoRAG: A retrieval-augmented system for ultra-long-context queries EgoButler unlocks powerful capabilities, including: 🔹 Recall forgotten details from past experiences 🔹 Suggest plans by analyzing past events holistically 🔹 Reveal hidden habits users may overlook 🔹 Enhance relationships by tracking social interactions Checkout our code, dataset, and demo: Code: Data: Demo: Together Let's pioneering the next era of AI companionship! #AI #EgocentricAI #EgoLife

Jingkang (Jake) Yang

35,452 views • 1 year ago

Synthetic data will provide the next trillion tokens to fuel our hungry models. I'm excited to announce MimicGen: massively scaling up data pipeline for robot learning! We multiply high-quality human data in simulation with digital twins. Using 50,000 training episodes across 18 tasks, multiple simulators, and even in the real-world! The idea is simple: 1. Humans tele-operate the robot to complete a task. It is extremely high-quality but also very slow and expensive. 2. We create a digital twin of the robot and the scene in high-fidelity, GPU-accelerated simulation. 3. We can now move objects around, replace with new assets, and even change the robot hand - basically augment the training data with procedural generation. 4. Export the successful episodes, and feed that to a neural network! You now have an near-infinite stream of data. One of the key reasons that robotics lags far behind other AI fields is the lack of data: you cannot scrape control signals from the internet. They simply don't exist in-the-wild. MimicGen shows the power of synthetic data and simulation to keep our scaling laws alive. I believe this principle apply beyond robotics. We are quickly exhausting the high-quality, real tokens from the web. Artificial intelligence from artificial data will be the way forward. We are big fans of the OSS community. As usual, we open-source everything, including the generated dataset! - Website: - Paper: - Dataset is hosted on HuggingFace (thanks AK!!): - Code: MimicGen is led by Ajay Mandlekar, deep dive in the thread:

Synthetic data will provide the next trillion tokens to fuel our hungry models. I'm excited to announce MimicGen: massively scaling up data pipeline for robot learning! We multiply high-quality human data in simulation with digital twins. Using 50,000 training episodes across 18 tasks, multiple simulators, and even in the real-world! The idea is simple: 1. Humans tele-operate the robot to complete a task. It is extremely high-quality but also very slow and expensive. 2. We create a digital twin of the robot and the scene in high-fidelity, GPU-accelerated simulation. 3. We can now move objects around, replace with new assets, and even change the robot hand - basically augment the training data with procedural generation. 4. Export the successful episodes, and feed that to a neural network! You now have an near-infinite stream of data. One of the key reasons that robotics lags far behind other AI fields is the lack of data: you cannot scrape control signals from the internet. They simply don't exist in-the-wild. MimicGen shows the power of synthetic data and simulation to keep our scaling laws alive. I believe this principle apply beyond robotics. We are quickly exhausting the high-quality, real tokens from the web. Artificial intelligence from artificial data will be the way forward. We are big fans of the OSS community. As usual, we open-source everything, including the generated dataset! - Website: - Paper: - Dataset is hosted on HuggingFace (thanks AK!!): - Code: MimicGen is led by Ajay Mandlekar, deep dive in the thread:

Jim Fan

332,238 views • 2 years ago

We are excited to share our work “Event-Aided Sharp Radiance Field Reconstruction for Fast-Flying Drones” published in IEEE Transactions on Robotics IEEE Transactions on Robotics (T-RO), which tackles sharp radiance field reconstruction under agile drone motion, where RGB frames are heavily motion-blurred and pose priors become unreliable! 4 years in the making! Code & dataset released! PDF: Code & Dataset: Full Narrated Video: High-speed flight is essential for time- and battery-constrained missions (e.g., inspection, exploration, search & rescue). However, fast motion corrupts visual data with severe motion blur and introduces drift/noise in visual-inertial odometry, making NeRF-based 3D reconstruction particularly brittle. We propose a unified framework that leverages asynchronous #EventCamera streams together with motion-blurred frames to reconstruct high-fidelity radiance fields from agile drone flights. Our key idea is to embed event-image fusion directly into radiance field optimization while jointly refining a shared, continuous-time camera trajectory initialized from event-based VIO. This enables us to recover sharp radiance fields and accurate trajectories without ground-truth supervision during training. We validate our method on synthetic data and on real sequences captured by a drone flying up to 2 m/s. Despite severe blur and noisy pose priors, our method preserves fine scene details and achieves a performance gain of over 50% on real-world data compared to state-of-the-art methods. Kudos to Rong Zou and Marco Cannici! Marco Cannici Reference: Rong Zou*, Marco Cannici*, Davide Scaramuzza Event-Aided Sharp Radiance Field Reconstruction for Fast-Flying Drones IEEE Transactions on Robotics (T-RO), 2026 NCCR Robotics European Research Council (ERC) AUTOASSESS UZH IfI University of Zurich UZH Science Prophesee SynSense UZH Space Hub

We are excited to share our work “Event-Aided Sharp Radiance Field Reconstruction for Fast-Flying Drones” published in IEEE Transactions on Robotics IEEE Transactions on Robotics (T-RO), which tackles sharp radiance field reconstruction under agile drone motion, where RGB frames are heavily motion-blurred and pose priors become unreliable! 4 years in the making! Code & dataset released! PDF: Code & Dataset: Full Narrated Video: High-speed flight is essential for time- and battery-constrained missions (e.g., inspection, exploration, search & rescue). However, fast motion corrupts visual data with severe motion blur and introduces drift/noise in visual-inertial odometry, making NeRF-based 3D reconstruction particularly brittle. We propose a unified framework that leverages asynchronous #EventCamera streams together with motion-blurred frames to reconstruct high-fidelity radiance fields from agile drone flights. Our key idea is to embed event-image fusion directly into radiance field optimization while jointly refining a shared, continuous-time camera trajectory initialized from event-based VIO. This enables us to recover sharp radiance fields and accurate trajectories without ground-truth supervision during training. We validate our method on synthetic data and on real sequences captured by a drone flying up to 2 m/s. Despite severe blur and noisy pose priors, our method preserves fine scene details and achieves a performance gain of over 50% on real-world data compared to state-of-the-art methods. Kudos to Rong Zou and Marco Cannici! Marco Cannici Reference: Rong Zou, Marco Cannici, Davide Scaramuzza Event-Aided Sharp Radiance Field Reconstruction for Fast-Flying Drones IEEE Transactions on Robotics (T-RO), 2026 NCCR Robotics European Research Council (ERC) AUTOASSESS UZH IfI University of Zurich UZH Science Prophesee SynSense UZH Space Hub

Davide Scaramuzza

12,028 views • 6 months ago

🚨 SIGGRAPH Asia 2025 Paper Alert 🚨 ➡️Paper Title: WorldExplorer: Towards Generating Fully Navigable 3D Scenes 🌟Few pointers from the paper 🎯Generating 3D worlds from text is a highly anticipated goal in computer vision. Existing works are limited by the degree of exploration they allow inside of a scene, i.e., produce stretched-out and noisy artifacts when moving beyond central or panoramic perspectives. 🎯 To this end, authors of this paper proposed “WorldExplorer”, a novel method based on autoregressive video trajectory generation, which builds fully navigable 3D scenes with consistent visual quality across a wide range of viewpoints. 🎯They initialize their scenes by creating multi-view consistent images corresponding to a 360 degree panorama. 🎯Then, they expanded it by leveraging video diffusion models in an iterative scene generation pipeline. 🎯Concretely, they generated multiple videos along short, pre-defined trajectories, that explore the scene in depth, including motion around objects. 🎯Their novel scene memory conditions each video on the most relevant prior views, while a collision-detection mechanism prevents degenerate results, like moving into objects. 🎯Finally,they fuse all generated views into a unified 3D representation via 3D Gaussian Splatting optimization. 🎯Compared to prior approaches, WorldExplorer produces high-quality scenes that remain stable under large camera motion, enabling for the first time realistic and unrestricted exploration. 🎯They believe this marks a significant step toward generating immersive and truly explorable virtual 3D environments. 🏢Organization: TU München 🧙Paper Authors: Manuel-Andreas Schneider, Lukas Höllein , Matthias Niessner 📝 Read the Full Paper here: 🗂️ Project Page: 🧑‍💻 Code: 🎥 Be sure to watch the attached Technical Summary Video - Sound on 🔊🔊 Find this Valuable 💎 ? ♻️QT and teach your network something new Follow me 👣, naveen manwani , for the latest updates on Tech and AI-related news, insightful research papers, and exciting announcements. #SIGGRAPHAsia2025

🚨 SIGGRAPH Asia 2025 Paper Alert 🚨 ➡️Paper Title: WorldExplorer: Towards Generating Fully Navigable 3D Scenes 🌟Few pointers from the paper 🎯Generating 3D worlds from text is a highly anticipated goal in computer vision. Existing works are limited by the degree of exploration they allow inside of a scene, i.e., produce stretched-out and noisy artifacts when moving beyond central or panoramic perspectives. 🎯 To this end, authors of this paper proposed “WorldExplorer”, a novel method based on autoregressive video trajectory generation, which builds fully navigable 3D scenes with consistent visual quality across a wide range of viewpoints. 🎯They initialize their scenes by creating multi-view consistent images corresponding to a 360 degree panorama. 🎯Then, they expanded it by leveraging video diffusion models in an iterative scene generation pipeline. 🎯Concretely, they generated multiple videos along short, pre-defined trajectories, that explore the scene in depth, including motion around objects. 🎯Their novel scene memory conditions each video on the most relevant prior views, while a collision-detection mechanism prevents degenerate results, like moving into objects. 🎯Finally,they fuse all generated views into a unified 3D representation via 3D Gaussian Splatting optimization. 🎯Compared to prior approaches, WorldExplorer produces high-quality scenes that remain stable under large camera motion, enabling for the first time realistic and unrestricted exploration. 🎯They believe this marks a significant step toward generating immersive and truly explorable virtual 3D environments. 🏢Organization: TU München 🧙Paper Authors: Manuel-Andreas Schneider, Lukas Höllein , Matthias Niessner 📝 Read the Full Paper here: 🗂️ Project Page: 🧑‍💻 Code: 🎥 Be sure to watch the attached Technical Summary Video - Sound on 🔊🔊 Find this Valuable 💎 ? ♻️QT and teach your network something new Follow me 👣, naveen manwani , for the latest updates on Tech and AI-related news, insightful research papers, and exciting announcements. #SIGGRAPHAsia2025

naveen manwani

10,578 views • 11 months ago

$FAU Erlangen-Nürnberg presents TRIPS Trilinear Point Splatting for Real-Time Radiance Field Rendering paper page: Point-based radiance field rendering has demonstrated impressive results for novel view synthesis, offering a compelling blend of rendering quality and computational efficiency. However, also latest approaches in this domain are not without their shortcomings. 3D Gaussian Splatting [Kerbl and Kopanas et al. 2023] struggles when tasked with rendering highly detailed scenes, due to blurring and cloudy artifacts. On the other hand, ADOP [R\"uckert et al. 2022] can accommodate crisper images, but the neural reconstruction network decreases performance, it grapples with temporal instability and it is unable to effectively address large gaps in the point cloud. In this paper, we present TRIPS (Trilinear Point Splatting), an approach that combines ideas from both Gaussian Splatting and ADOP. The fundamental concept behind our novel technique involves rasterizing points into a screen-space image pyramid, with the selection of the pyramid layer determined by the projected point size. This approach allows rendering arbitrarily large points using a single trilinear write. A lightweight neural network is then used to reconstruct a hole-free image including detail beyond splat resolution. Importantly, our render pipeline is entirely differentiable, allowing for automatic optimization of both point sizes and positions. Our evaluation demonstrate that TRIPS surpasses existing state-of-the-art methods in terms of rendering quality while maintaining a real-time frame rate of 60 frames per second on readily available hardware. This performance extends to challenging scenarios, such as scenes featuring intricate geometry, expansive landscapes, and auto-exposed footage.$

FAU Erlangen-Nürnberg presents TRIPS Trilinear Point Splatting for Real-Time Radiance Field Rendering paper page: Point-based radiance field rendering has demonstrated impressive results for novel view synthesis, offering a compelling blend of rendering quality and computational efficiency. However, also latest approaches in this domain are not without their shortcomings. 3D Gaussian Splatting [Kerbl and Kopanas et al. 2023] struggles when tasked with rendering highly detailed scenes, due to blurring and cloudy artifacts. On the other hand, ADOP [R\"uckert et al. 2022] can accommodate crisper images, but the neural reconstruction network decreases performance, it grapples with temporal instability and it is unable to effectively address large gaps in the point cloud. In this paper, we present TRIPS (Trilinear Point Splatting), an approach that combines ideas from both Gaussian Splatting and ADOP. The fundamental concept behind our novel technique involves rasterizing points into a screen-space image pyramid, with the selection of the pyramid layer determined by the projected point size. This approach allows rendering arbitrarily large points using a single trilinear write. A lightweight neural network is then used to reconstruct a hole-free image including detail beyond splat resolution. Importantly, our render pipeline is entirely differentiable, allowing for automatic optimization of both point sizes and positions. Our evaluation demonstrate that TRIPS surpasses existing state-of-the-art methods in terms of rendering quality while maintaining a real-time frame rate of 60 frames per second on readily available hardware. This performance extends to challenging scenarios, such as scenes featuring intricate geometry, expansive landscapes, and auto-exposed footage.

AK

45,489 views • 2 years ago

Introducing BioCLIP: A Vision Foundation Model for the Tree of Life A foundation model that strongly generalizes on the tree of life (2M+ species), outperforming OpenAI CLIP by 18% in zero-shot classification, and supports open-ended classification over almost the entire tree of life What's the secrete ingredients? > Data: we curate and release TreeOfLife-10M, the largest and most diverse ML-ready dataset of organism images to date. It contains 10.4M images for over 450K taxa, sourced from iNaturalist, BIOSCAN, and Encyclopedia of Life. > Modeling: we creatively repurposes CLIP's multimodal contrastive learning objective for hierarchical image classification. The autoregressive language model naturally encodes the hierarchy of the tree of life taxonomy, which in turn bakes the hierarchical representation into the vision transformer encoder. Key results > Strong zero/few-shot classification for animals/plants/fungi, including rare species, outperforming CLIP by avg 16-18% absolute. > T-sne visualization shows that BioCLIP's vision encoder has captued the fine-grained hierarchical structure of the tree of life > BioCLIP is a kind of universal classifier for the tree of life. Just give it an organism image and it will likely find the correct species (among top 5)! But use it with caution; it's not perfect yet.. Final remarks > AI for Science is really hard but extremely rewarding! It took us a ton of time (1+ year) and frustration trying to find a plausible way to integrate the tree of life taxonomy into foundation model training. But when the "Eureka!" moment came and the idea hit us (by the great Wei-Lun Chao) that CLIP's multimodal contrastive learning objective can be repurposed for that, everything just follows naturally. It was truly a moment of joy and excitement! > BioCLIP is our first attempt at foundation models for biology, but it certainly won't be the last! There's so much more to do at the intersection of one of the oldest scientific disciplines and the young but thriving field of AI. Biological intelligence is the foundation for artificial intelligence, and artificial intelligence will in turn become the most important tool for us to unraval the mysteries of biological intelligence. We are hiring postdocs and PhDs in the NSF Imageomics Institute institute to explore this exciting field! Drop us an email. also happy to chat about it at #NeurIPS2023 with any of Tanya, Wei-Lun Chao, or me. - paper: - project: - demo: - model: - data (TreeOfLife-10M): to be released on Hugging Face soon joint work with the amazing Imageomics Institute team: @samstevens6860 Lisa Wu, Matt Thompson, Elizabeth Campolongo Chan Hee (Luke) Song David Carlyn Li Dong Wasila Dahdul Chuck Stewart, Tanya Berger-Wolf Wei-Lun Chao Yu Su

Introducing BioCLIP: A Vision Foundation Model for the Tree of Life A foundation model that strongly generalizes on the tree of life (2M+ species), outperforming OpenAI CLIP by 18% in zero-shot classification, and supports open-ended classification over almost the entire tree of life What's the secrete ingredients? > Data: we curate and release TreeOfLife-10M, the largest and most diverse ML-ready dataset of organism images to date. It contains 10.4M images for over 450K taxa, sourced from iNaturalist, BIOSCAN, and Encyclopedia of Life. > Modeling: we creatively repurposes CLIP's multimodal contrastive learning objective for hierarchical image classification. The autoregressive language model naturally encodes the hierarchy of the tree of life taxonomy, which in turn bakes the hierarchical representation into the vision transformer encoder. Key results > Strong zero/few-shot classification for animals/plants/fungi, including rare species, outperforming CLIP by avg 16-18% absolute. > T-sne visualization shows that BioCLIP's vision encoder has captued the fine-grained hierarchical structure of the tree of life > BioCLIP is a kind of universal classifier for the tree of life. Just give it an organism image and it will likely find the correct species (among top 5)! But use it with caution; it's not perfect yet.. Final remarks > AI for Science is really hard but extremely rewarding! It took us a ton of time (1+ year) and frustration trying to find a plausible way to integrate the tree of life taxonomy into foundation model training. But when the "Eureka!" moment came and the idea hit us (by the great Wei-Lun Chao) that CLIP's multimodal contrastive learning objective can be repurposed for that, everything just follows naturally. It was truly a moment of joy and excitement! > BioCLIP is our first attempt at foundation models for biology, but it certainly won't be the last! There's so much more to do at the intersection of one of the oldest scientific disciplines and the young but thriving field of AI. Biological intelligence is the foundation for artificial intelligence, and artificial intelligence will in turn become the most important tool for us to unraval the mysteries of biological intelligence. We are hiring postdocs and PhDs in the NSF Imageomics Institute institute to explore this exciting field! Drop us an email. also happy to chat about it at #NeurIPS2023 with any of Tanya, Wei-Lun Chao, or me. - paper: - project: - demo: - model: - data (TreeOfLife-10M): to be released on Hugging Face soon joint work with the amazing Imageomics Institute team: @samstevens6860 Lisa Wu, Matt Thompson, Elizabeth Campolongo Chan Hee (Luke) Song David Carlyn Li Dong Wasila Dahdul Chuck Stewart, Tanya Berger-Wolf Wei-Lun Chao Yu Su

Yu Su

80,660 views • 2 years ago

Texas town unveils largest 3D-printed neighborhood with identical eco-friendly homes - but buyers are left shocked by prices | Daily Mail The largest 3D-printed neighborhood ever built has popped up in Texas - but the houses come with a shocking price tag. Each of the 100 single-story three-to-four-bedroom homes in the Wolf Ranch community of Georgetown, northern Austin, costs between $450,000 to $600,000. Coincidentally, the $450,000 cost is also the median price of a regular brick-and-mortar home in the Lone Star State capital, according to Redfin data. But for some, the ingenuity of the Wolf Ranch neighborhood warrants the cost. Lawrence Nourzad, a 32-year-old business development director, and his girlfriend Angela Hontas, a 29-year-old creative strategist, purchased a Wolf Ranch home earlier this summer. 'It feels like a fortress,' Nourzad said, adding that he was confident it would be resilient to most tornados. The walls also provide strong insulation from the Texas heat, the couple said, keeping the interior temperature cool even when the air conditioner wasn't on full blast. There was one other thing the 3D-printed walls seemed to protect against, however: a solid wireless internet connection. 'Obviously these are really strong, thick walls. And that's what provides a lot of value for us as homeowners and keeps this thing really well-insulated in a Texas summer, but signal doesn't transfer through these walls very well,' Nourzad said. To alleviate this issue, an official said most Wolf Ranch homeowners use mesh internet routers, which broadcast a signal from multiple units placed throughout a home, versus a traditional router that sends a signal from one device. The houses are printed using the 45-foot-wide, 4.75-ton Vulcan machine, which pipes layer by layer to build the residential homes. This summer, the robotic printer from ICON is finishing the last few of 100 3D-printed houses in Wolf Ranch. ICON began printing the walls of what it says is the world's largest 3D-printed community in November 2022. Compared to traditional construction, the company says that 3D printing homes is faster, less expensive, requires fewer workers, and minimizes construction material waste. 'It brings a lot of efficiency to the trade market,' said ICON senior project manager Conner Jenkins. 'So, where there were maybe five different crews coming in to build a wall system, we now have one crew and one robot.' Read more:

Texas town unveils largest 3D-printed neighborhood with identical eco-friendly homes - but buyers are left shocked by prices | Daily Mail The largest 3D-printed neighborhood ever built has popped up in Texas - but the houses come with a shocking price tag. Each of the 100 single-story three-to-four-bedroom homes in the Wolf Ranch community of Georgetown, northern Austin, costs between $450,000 to $600,000. Coincidentally, the $450,000 cost is also the median price of a regular brick-and-mortar home in the Lone Star State capital, according to Redfin data. But for some, the ingenuity of the Wolf Ranch neighborhood warrants the cost. Lawrence Nourzad, a 32-year-old business development director, and his girlfriend Angela Hontas, a 29-year-old creative strategist, purchased a Wolf Ranch home earlier this summer. 'It feels like a fortress,' Nourzad said, adding that he was confident it would be resilient to most tornados. The walls also provide strong insulation from the Texas heat, the couple said, keeping the interior temperature cool even when the air conditioner wasn't on full blast. There was one other thing the 3D-printed walls seemed to protect against, however: a solid wireless internet connection. 'Obviously these are really strong, thick walls. And that's what provides a lot of value for us as homeowners and keeps this thing really well-insulated in a Texas summer, but signal doesn't transfer through these walls very well,' Nourzad said. To alleviate this issue, an official said most Wolf Ranch homeowners use mesh internet routers, which broadcast a signal from multiple units placed throughout a home, versus a traditional router that sends a signal from one device. The houses are printed using the 45-foot-wide, 4.75-ton Vulcan machine, which pipes layer by layer to build the residential homes. This summer, the robotic printer from ICON is finishing the last few of 100 3D-printed houses in Wolf Ranch. ICON began printing the walls of what it says is the world's largest 3D-printed community in November 2022. Compared to traditional construction, the company says that 3D printing homes is faster, less expensive, requires fewer workers, and minimizes construction material waste. 'It brings a lot of efficiency to the trade market,' said ICON senior project manager Conner Jenkins. 'So, where there were maybe five different crews coming in to build a wall system, we now have one crew and one robot.' Read more:

Owen Gregorian

149,450 views • 2 years ago

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.

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.

Bilawal Sidhu

204,351 views • 6 months ago

EXCLUSIVE. Who is funding the anti-Trump #NoKings protests? It's 198 companies with $2.1 billion in revenues. WATCH and READ to learn. I wanted to hear it straight from the source—so on Tuesday, I tuned into a live town hall with AFT’s Randi Weingarten 🇺🇸 🖇️👩‍🎓📚, Reverend Al Sharpton Sharpton from National Action Network, and @LeahGreenbergB of Indivisible Guide ❌👑. They proudly laid out the nationwide anti-Trump protests they’ve planned for this Saturday, June 14, under the banner #NoKings. I recorded the town hall—and I’m sharing the video with you here. They admit they’re organizing these protests. And they’re not grassroots players. These are top-tier Democratic Party operatives, with enormous influence and funding. But when I started following the money behind the full list of protest "partners," I realized that these three are just the tip of the iceberg. According to research by the Pearl Project—a nonprofit journalism initiative I lead, named in honor of Wall Street Journal reporter Daniel Pearl—the 198 organizations that say they are organizers of the #NoKings protests are not just grassroots citizens. They're all aligned with the Democratic Party, and many claim to be “nonpartisan” despite acting as political operatives. Together, these groups report more than $2.1 BILLION in total annual revenue. 🔹 Read and share my full breakdown Fox News Opinion Fox News: 🔹 Explore the database here: (Enjoy, DataRepublican (small r), and share with me any recommendations to make this better!) Why follow the money? Because from Los Angeles to D.C., we’ve seen these protests escalate into violence—and we must understand who’s behind them to understand why. These aren’t mom-and-pop protestors. This is an elite class of political influencers using nonprofit structures to operate like a shadow government. Just look at their annual salaries: 🔹Randi Weingarten: $474,951 🔹Al Sharpton: $648,786 🔹ACLU’s Anthony Romero: $1.3 million Fairfax County citizen Lissa Kenkel 🟦 Nurit 🇮🇱🇺🇸, who helped me cull the financial data, puts it well: “The very people bankrolling and leading these so-called grassroots movements are the crowned royalty of the nonprofit world, sitting in their air-conditioned offices, collecting six-figure salaries, while encouraging the common folk to torch their own cities in the name of ‘saving democracy.’" "It’s manufactured chaos, sold as revolution, by people who wouldn’t last five minutes in the rubble they’re creating.” Here’s the #NoKings protest funding breakdown, and I'll list all the groups in a thread: 🔹 3 official entities of the Democratic National Committee: College Democrats of America, Manhattan Young Democrats and Westside Democratic Headquarters in Norwalk, Calif. 🔹 16 Democratic political action committees, or PACs, including Friends of Bernie Sanders, Progressive Democrats of America and Vote Blue — with about $19.4 million in spending power for Democratic political candidates. 🔹 18 Democratic-aligned 501(c)(5) labor unions, including lead organizer, the American Federation of Teachers, along with the United Auto Workers, the Communications Workers of America and the National Treasury Employees Union, with a total of $1.1 billion in revenues, most of their political contributions going to Democratic candidates. 🔹 76 Democratic-aligned 501(c)(4) political nonprofits, including the ACLU, Sierra Club, League of Conservation Voters, Working Families Organization Inc., Human Rights Campaign, Planned Parenthood Action Fund and lead organizer Indivisible Project, all with another $734.3 million in revenues. 🔹47 501(c)(3) nonprofits, legally restricted from partisan advocacy, including innocuous-sounding groups like the Unitarian Universalist Association, Accountable US and the American Humanist Association, with $286.7 million to the cause. 🔹38 additional Democratic-aligned groups, including Michigan Resistance Coalition, Families Over Billionaires, 50501, Tax the Greedy Billionaire and Mennonite Action, with undisclosed financials. TOTAL: 198 groups with $2.1 billion in annual revenue behind #NoKings But this isn’t just about June 14. Many of the same groups also organized earlier protests like #TeslaTakedown, #HandsOff, and #MayDay. In those protests, we identified 267 more organizations with a combined $1.3 billion in annual revenue. That brings the total to: 🔹 475 organizations 🔹 $3.4 billion in annual budgets 🔹 All aligned against Trump’s movement And we’re not done. My database includes another 1,500+ organizations—many involved in anti-Israel protests, anti-ICE demonstrations, and other coordinated mass mobilizations. Stay tuned for those results. This is not a grassroots movement. It’s a billion-dollar machine dressed in protest gear. If you want to help turn this database into a user-friendly public app, please contact me at asra@asranomani.com, DM me, or visit to support this work. Our vision at the Pearl Project? A Carvana for the protest industry—a searchable, transparent tool that helps moms, cops, citizens, and journalists understand who’s behind the chaos in our streets, using the best practices of AI, natural language processing and gumshoe reporting. Thank you for your support!

EXCLUSIVE. Who is funding the anti-Trump #NoKings protests? It's 198 companies with $2.1 billion in revenues. WATCH and READ to learn. I wanted to hear it straight from the source—so on Tuesday, I tuned into a live town hall with AFT’s Randi Weingarten 🇺🇸 🖇️👩‍🎓📚, Reverend Al Sharpton Sharpton from National Action Network, and @LeahGreenbergB of Indivisible Guide ❌👑. They proudly laid out the nationwide anti-Trump protests they’ve planned for this Saturday, June 14, under the banner #NoKings. I recorded the town hall—and I’m sharing the video with you here. They admit they’re organizing these protests. And they’re not grassroots players. These are top-tier Democratic Party operatives, with enormous influence and funding. But when I started following the money behind the full list of protest "partners," I realized that these three are just the tip of the iceberg. According to research by the Pearl Project—a nonprofit journalism initiative I lead, named in honor of Wall Street Journal reporter Daniel Pearl—the 198 organizations that say they are organizers of the #NoKings protests are not just grassroots citizens. They're all aligned with the Democratic Party, and many claim to be “nonpartisan” despite acting as political operatives. Together, these groups report more than $2.1 BILLION in total annual revenue. 🔹 Read and share my full breakdown Fox News Opinion Fox News: 🔹 Explore the database here: (Enjoy, DataRepublican (small r), and share with me any recommendations to make this better!) Why follow the money? Because from Los Angeles to D.C., we’ve seen these protests escalate into violence—and we must understand who’s behind them to understand why. These aren’t mom-and-pop protestors. This is an elite class of political influencers using nonprofit structures to operate like a shadow government. Just look at their annual salaries: 🔹Randi Weingarten: $474,951 🔹Al Sharpton: $648,786 🔹ACLU’s Anthony Romero: $1.3 million Fairfax County citizen Lissa Kenkel 🟦 Nurit 🇮🇱🇺🇸, who helped me cull the financial data, puts it well: “The very people bankrolling and leading these so-called grassroots movements are the crowned royalty of the nonprofit world, sitting in their air-conditioned offices, collecting six-figure salaries, while encouraging the common folk to torch their own cities in the name of ‘saving democracy.’" "It’s manufactured chaos, sold as revolution, by people who wouldn’t last five minutes in the rubble they’re creating.” Here’s the #NoKings protest funding breakdown, and I'll list all the groups in a thread: 🔹 3 official entities of the Democratic National Committee: College Democrats of America, Manhattan Young Democrats and Westside Democratic Headquarters in Norwalk, Calif. 🔹 16 Democratic political action committees, or PACs, including Friends of Bernie Sanders, Progressive Democrats of America and Vote Blue — with about $19.4 million in spending power for Democratic political candidates. 🔹 18 Democratic-aligned 501(c)(5) labor unions, including lead organizer, the American Federation of Teachers, along with the United Auto Workers, the Communications Workers of America and the National Treasury Employees Union, with a total of $1.1 billion in revenues, most of their political contributions going to Democratic candidates. 🔹 76 Democratic-aligned 501(c)(4) political nonprofits, including the ACLU, Sierra Club, League of Conservation Voters, Working Families Organization Inc., Human Rights Campaign, Planned Parenthood Action Fund and lead organizer Indivisible Project, all with another $734.3 million in revenues. 🔹47 501(c)(3) nonprofits, legally restricted from partisan advocacy, including innocuous-sounding groups like the Unitarian Universalist Association, Accountable US and the American Humanist Association, with $286.7 million to the cause. 🔹38 additional Democratic-aligned groups, including Michigan Resistance Coalition, Families Over Billionaires, 50501, Tax the Greedy Billionaire and Mennonite Action, with undisclosed financials. TOTAL: 198 groups with $2.1 billion in annual revenue behind #NoKings But this isn’t just about June 14. Many of the same groups also organized earlier protests like #TeslaTakedown, #HandsOff, and #MayDay. In those protests, we identified 267 more organizations with a combined $1.3 billion in annual revenue. That brings the total to: 🔹 475 organizations 🔹 $3.4 billion in annual budgets 🔹 All aligned against Trump’s movement And we’re not done. My database includes another 1,500+ organizations—many involved in anti-Israel protests, anti-ICE demonstrations, and other coordinated mass mobilizations. Stay tuned for those results. This is not a grassroots movement. It’s a billion-dollar machine dressed in protest gear. If you want to help turn this database into a user-friendly public app, please contact me at [email protected], DM me, or visit to support this work. Our vision at the Pearl Project? A Carvana for the protest industry—a searchable, transparent tool that helps moms, cops, citizens, and journalists understand who’s behind the chaos in our streets, using the best practices of AI, natural language processing and gumshoe reporting. Thank you for your support!

Asra Nomani

1,811,807 views • 1 year ago

Fast Company just published a great piece on World Labs , Fei-Fei Li , Marble, and the idea that spatial intelligence / world models may be one of the next big shifts in AI. I was happy to be quoted in the article, but I also wanted to share more context about my own experience with World Labs and Marble, and why this direction is especially interesting to me. My starting point: volumetric capture — For the past few years I’ve been exploring and using volumetric capture and reconstruction (photogrammetry, NeRFs, 3D Gaussian Splats) mostly capturing locations around Montreal. Alleys, museums, urban interiors. I love every step of it: the capture itself, the pipeline, and what can be done with the output. Turning real spaces into real-time explorable systems. I do this personally, sharing explorations here, and professionally as chief technologist, and co-founder of Dpt. Physical reality + generative manipulation — In my work I’m especially drawn to mixing physical reality with generative and digital manipulation: using physical interfaces (light, clay, ink, ... ) to drive generative AI pipelines, building mixed reality prototypes that reshape your surroundings, or starting from real captured spaces and transforming them using tools like Marble. Like many people, I saw the World Labs announcement on Twitter in September 2024, and Marble when it surfaced in early December. But by then, I already had a sense something was coming. The first conversation — As someone deep into volumetric capture and radiance fields, I obviously knew about Ben Mildenhall and his pioneering work on NeRF. To my surprise, Ben reached out to me in late June 2024. He’d been following some of my experiments and wanted to chat about my process and workflows and how I was using this “stuff” creatively. At that point he didn’t share what he was building, but we had a genuinely great conversation about radiance fields, AI, and my work. He was curious about the creative perspective, not just the technical one. When the World Labs announcement dropped a few months later, it all made sense. I understood what Ben had been working on, and why the creative angle mattered to them. Then in August 2025, he invited me to try the Marble beta, and I’ve been experimenting with it since. Experimenting with Marble — The first thing I used Marble for was materializing scene and world concepts during ideation at the studio, and seeing if and how it could fit into our production pipeline. In parallel, I dove into a series of experiments focused on world manipulation: starting from real captured spaces and transforming them using Marble. I’d already been exploring that idea using img2img diffusion with ControlNet on NeRF renders, real-time video streams, and even mixed reality using headset camera feeds. But Marble brings something different. It generates persistent, spatially cohesive 3D worlds that can be rendered in real time across a wide range of devices. That’s a real shift. Experiment 01: Parallel Realities — The first experiment, Parallel Realities, starts from a volumetric capture of a real location, reconstructed as 3D Gaussian Splats. Using Marble, I generate an alternate version of that same space, something informed by the original architecture: abandoned, nature-reclaimed, alternate era. Then, using Spark (World Labs’ 3D Gaussian Splatting renderer for THREE.js) I make both realities coexist in the same spatial coordinate system. From there, I use a portal UX mechanic to let the user step between the real reconstruction and the Marble-generated version. Experiment 02: Hidden Depth The second experiment, Hidden Depth, does not transform a space as much as expand it. A captured location has a visual boundary (a mural, a doorway, a dark corridor) and Marble generates what exists beyond it. For example: a Montreal alley has a painted mural; step through it and you’re inside a world informed by what is actually depicted there. World Labs showcased part of this work here: And in their Spark 2.0 post: The project page is here: Why this matters to me — Being able to start from a real 3D Gaussian Splat scene and manipulate it with Marble opens up a lot of ideas. The 3DGS pipeline is becoming an increasingly compelling foundation for exploration, experimentation, and storytelling. What matters most to me right now is more control. The more I can steer the generated scene or world, the more useful the tool becomes. I want more features like the already existing multiple input images and Chisel, the blockout-based approach. I would like better local control, the ability to expand a generated world more and more while preserving coherence, and the ability to directly import 3D Gaussian Splat scenes to be used as a starting point. I want more ways to shape the result, not just a “prompt and hope” approach. — It is exciting to see this field moving from research and demos toward actual creative workflows.

Fast Company just published a great piece on World Labs , Fei-Fei Li , Marble, and the idea that spatial intelligence / world models may be one of the next big shifts in AI. I was happy to be quoted in the article, but I also wanted to share more context about my own experience with World Labs and Marble, and why this direction is especially interesting to me. My starting point: volumetric capture — For the past few years I’ve been exploring and using volumetric capture and reconstruction (photogrammetry, NeRFs, 3D Gaussian Splats) mostly capturing locations around Montreal. Alleys, museums, urban interiors. I love every step of it: the capture itself, the pipeline, and what can be done with the output. Turning real spaces into real-time explorable systems. I do this personally, sharing explorations here, and professionally as chief technologist, and co-founder of Dpt. Physical reality + generative manipulation — In my work I’m especially drawn to mixing physical reality with generative and digital manipulation: using physical interfaces (light, clay, ink, ... ) to drive generative AI pipelines, building mixed reality prototypes that reshape your surroundings, or starting from real captured spaces and transforming them using tools like Marble. Like many people, I saw the World Labs announcement on Twitter in September 2024, and Marble when it surfaced in early December. But by then, I already had a sense something was coming. The first conversation — As someone deep into volumetric capture and radiance fields, I obviously knew about Ben Mildenhall and his pioneering work on NeRF. To my surprise, Ben reached out to me in late June 2024. He’d been following some of my experiments and wanted to chat about my process and workflows and how I was using this “stuff” creatively. At that point he didn’t share what he was building, but we had a genuinely great conversation about radiance fields, AI, and my work. He was curious about the creative perspective, not just the technical one. When the World Labs announcement dropped a few months later, it all made sense. I understood what Ben had been working on, and why the creative angle mattered to them. Then in August 2025, he invited me to try the Marble beta, and I’ve been experimenting with it since. Experimenting with Marble — The first thing I used Marble for was materializing scene and world concepts during ideation at the studio, and seeing if and how it could fit into our production pipeline. In parallel, I dove into a series of experiments focused on world manipulation: starting from real captured spaces and transforming them using Marble. I’d already been exploring that idea using img2img diffusion with ControlNet on NeRF renders, real-time video streams, and even mixed reality using headset camera feeds. But Marble brings something different. It generates persistent, spatially cohesive 3D worlds that can be rendered in real time across a wide range of devices. That’s a real shift. Experiment 01: Parallel Realities — The first experiment, Parallel Realities, starts from a volumetric capture of a real location, reconstructed as 3D Gaussian Splats. Using Marble, I generate an alternate version of that same space, something informed by the original architecture: abandoned, nature-reclaimed, alternate era. Then, using Spark (World Labs’ 3D Gaussian Splatting renderer for THREE.js) I make both realities coexist in the same spatial coordinate system. From there, I use a portal UX mechanic to let the user step between the real reconstruction and the Marble-generated version. Experiment 02: Hidden Depth The second experiment, Hidden Depth, does not transform a space as much as expand it. A captured location has a visual boundary (a mural, a doorway, a dark corridor) and Marble generates what exists beyond it. For example: a Montreal alley has a painted mural; step through it and you’re inside a world informed by what is actually depicted there. World Labs showcased part of this work here: And in their Spark 2.0 post: The project page is here: Why this matters to me — Being able to start from a real 3D Gaussian Splat scene and manipulate it with Marble opens up a lot of ideas. The 3DGS pipeline is becoming an increasingly compelling foundation for exploration, experimentation, and storytelling. What matters most to me right now is more control. The more I can steer the generated scene or world, the more useful the tool becomes. I want more features like the already existing multiple input images and Chisel, the blockout-based approach. I would like better local control, the ability to expand a generated world more and more while preserving coherence, and the ability to directly import 3D Gaussian Splat scenes to be used as a starting point. I want more ways to shape the result, not just a “prompt and hope” approach. — It is exciting to see this field moving from research and demos toward actual creative workflows.

Hugues Bruyère

69,960 views • 3 months ago

⏰ THE MOST BANNED THREAD IN THE WORLD! 🚨 The War On Resonance PART TWO: The Architects of the Cage You’ve felt the dissonance. You’ve tasted the illusion. Now let me unveil the ones who built it. Because this is not the accidental collapse of human freedom. It is the strategic sterilization of God’s image through biotech, neuro-warfare, and frequency control; engineered by names you know and hands you were never meant to see. Let’s begin with the mask they taught you to worship. Elon Musk They called him a genius. A savior. A rebel billionaire. But what did he do? He blanketed Earth with over 5,500 Starlink satellites, NOT to provide free speech or faster internet, but to pulse synchronized frequency control over the entire electromagnetic field of Earth. DARPA has confirmed this tech in phase-array neuro-modulation. Then came Neuralink, an interface not designed to heal but to monitor, predict, and eventually override emotion, thought, and decision-making. Their official white paper outlines multi-user brainwave integration, cortical stimulation, and wireless data access from the human mind. And Neuralink? It’s funded by OpenAI; the same group building the cognitive infrastructure for post-human governance. Musk’s Tesla factory signed data-sharing agreements with the CCP in Shanghai. That data now flows through China’s national surveillance cloud. Musk didn’t build a utopia. He built the neural grid. Elon Musk / Neuralink / Starlink / OpenAI Neuralink Brain-Machine Interface (White Paper via PMC): This paper outlines Neuralink's initial steps toward developing a scalable, high-bandwidth brain-machine interface system. It details the design and implementation of flexible electrode "threads," a neurosurgical robot for precise implantation, and custom electronics for data processing. The system aims to facilitate communication between the brain and external devices. Tesla Data-Sharing with CCP: The article reports that Tesla established a data center in China to store data generated by its vehicles sold in the country, in response to regulatory scrutiny over data handling. This move aligns with China's efforts to ensure data security and privacy, especially concerning data collected by smart vehicles. DARPA N3 Program (Neural Interface Development): This program aimed to develop high-performance, bi-directional brain-machine interfaces that do not require surgical implantation. The goal was to enable able-bodied service members to control unmanned systems or engage in cyber operations through noninvasive neural interfaces. Bill Gates The king of vaccines. The messiah of health. The man who told you he wanted to save the world. Through the Bill & Melinda Gates Foundation, Gates funded global DNA-coding vaccine campaigns through GAVI and CEPI. He was one of the chief sponsors of Event 201; a pandemic simulation months before COVID-19, rehearsing lockdowns, speech control, biometric tracking, and mandatory vaccine passports. He also partnered with The Welcome Trust, which has actively deployed bio-digital identity programs across Africa and Southeast Asia. This wasn’t philanthropy. It was pre-injection infrastructure. Bill Gates / GAVI / Wellcome Trust / Event 201 Event 201 Official Simulation (Johns Hopkins): Event 201 was conducted on October 18, 2019, and simulated a series of dramatic, scenario-based discussions confronting difficult, true-to-life dilemmas associated with response to a hypothetical, but scientifically plausible, pandemic. The exercise aimed to illustrate areas where public/private partnerships will be necessary during the response to a severe pandemic in order to diminish large-scale economic and societal consequences. GAVI & Welcome Trust Digital Identity Integration: This page outlines the partnership's focus on global health initiatives, but it does not specifically mention digital identity integration. However, Gavi has engaged in digital identity projects, such as the collaboration with Mastercard on the Wellness Pass, aimed at providing individuals with secure digital identities to access healthcare services. For more information on this initiative, you can refer to the following article: Gavi Why we support COVAX: Mastercard - Gavi, the Vaccine Alliance Donald Trump Yes. I said it. This one will be the hardest for many to accept; but the truth is not loyal to your political beliefs. It is loyal only to God. Trump signed Executive Order 13887, transferring command over vaccine strategy to the Department of Defense. Read it yourself below. Then came Operation Warp Speed; a military-led bio-deployment that used Palantir’s surveillance dashboards to track every citizen’s health behavior and compliance. Palantir’s official site confirms this. He also gave full legal immunity to Pfizer and Moderna to deploy synthetic gene modulators under the Emergency Use Authorization. No liability. No justice. Just children d*ing while politicians smiled. That’s not patriotism. That’s biowarfare with a flag on it. Donald Trump / Operation Warp Speed / Executive Order Executive Order 13887 – Modernizing Influenza Vaccines (White House Archives): This executive order outlines a comprehensive strategy to modernize the U.S. influenza vaccine enterprise. Key objectives include: Trump signs executive order to improve flu vaccines HHS Releases the National Influenza Vaccine Modernization Strategy (NIVMS) 2020-2030: Executive Order 13887: Modernizing Influenza Vaccines in the United States to Promote National Security and Public Health, signed by President Donald J. Trump on September 19, 2019. This executive order outlines a comprehensive strategy to modernize the U.S. influenza vaccine enterprise. Key objectives include: Reducing reliance on egg-based vaccine production by promoting alternative manufacturing methods that are more agile and scalable. Expanding domestic capacity for vaccine production to ensure rapid response to emerging influenza viruses. Advancing the development of new, broadly protective vaccine candidates that provide more effective and longer-lasting immunity. Increasing influenza vaccine immunization across recommended populations to enhance public health and national security. The order also established a National Influenza Vaccine Task Force, co-chaired by the Secretaries of Health and Human Services and Defense, to coordinate efforts across federal agencies and report on progress. For a detailed overview of the executive order, you can visit the official archived page here: Executive Order 13887 – Modernizing Influenza Vaccines (White House Archives) CDC Partners with Palantir to Bolster the Fight Against COVID-19: This press release discusses the partnership between the CDC and Palantir to enhance the nation's public health response to COVID-19 using Palantir's software platforms. This page outlines how Palantir's software platforms, such as Foundry, have been utilized to support public health agencies in managing and responding to health crises, including the COVID-19 pandemic. Key highlights from the page include: Data Integration and Analysis: Palantir's platforms enable the integration of diverse data sources to provide a comprehensive view of public health data, facilitating informed decision-making. Support for Public Health Agencies: The software has been employed by agencies like the CDC and HHS to enhance disease surveillance, outbreak response, and resource allocation. Security and Privacy: Emphasis is placed on maintaining robust security measures and protecting sensitive health information. DARPA: The Silent Empire The most important agency you were never taught to fear. DARPA’s Biological Technologies Office openly admits its mission; integrating biotech with national security. Visit their official page. This is the official page for DARPA's Biological Technologies Office (BTO), which focuses on leveraging biological systems for national security applications. They are the ones behind the BRAIN Initiative, Silent Talk, and Remote Neural Interface Programs; all designed to map your emotional states and interrupt spiritual alignment. The “Silent Talk” program was developed to transmit thought between soldiers without speech; by detecting pre-speech neural signals and decoding them via EEG. Silent Talk (Neural Pre-Speech Communication – Wired Article) This Wired article discusses DARPA's "Silent Talk" program, aimed at enabling communication through neural signals without spoken words. DARPA also pioneered graphene oxide nanotech, now found in multiple biomedical studies, vaccines, and smart dust aerosol deployment: Graphene oxide biomedical study: Graphene Oxide in Biomedical Applications (PubMed) This PubMed article reviews the potential biomedical applications of graphene oxide, highlighting its unique properties. Graphene's potential to interact with neural tissue: Graphene and Neural Interfaces (PubMed) This PubMed article explores the use of graphene-based materials in neural interface design, discussing their advantages and challenges. DARPA didn't just weaponize warfare. They weaponized YOU. In-Q-Tel & Palantir: The Surveillance Engine In-Q-Tel, is the CIA’s venture capital firm, funds synthetic biology startups, digital ID systems, emotion tracking wearables, and AI-driven facial recognition. Palantir, founded by Peter Thiel, works directly with military intelligence and now runs predictive modeling for public health, policing, and pandemic response. Here’s the proof: Their goal? To detect resonance spikes. To predict awakening moments. To preempt the uprising of the human soul before it begins. In-Q-Tel / CIA / Synthetic Bio Surveillance In-Q-Tel Portfolio (CIA Venture Capital): Which showcases a selection of the organization's investments across various technology sectors. IQT is a not-for-profit venture capital firm that invests in cutting-edge technologies to support the national security interests of the United States and its allies. In-Q-Tel BlackRock & Vanguard: The Lords of the Grid These two financial titans collectively hold majority ownership in: For instance, a report by Americans for Financial Reform titled "Wall Street Money in Washington" highlights the substantial investments and influence of major financial firms, including BlackRock and Vanguard, in the political and corporate spheres: Pfizer Moderna Alphabet (Google) Meta (Facebook) Amazon Web Services As reported by CNBC, they control over 90% of the digital, pharmaceutical, and cloud infrastructure; meaning they control every piece of the extermination machine. They don’t just fund the war. They profit from your extinction. World Economic Forum (WEF) Under the guise of “The Great Reset,” Klaus Schwab and his allies have built the digital scaffolding for a post-human society. Here’s their blueprint: They call it the Fourth Industrial Revolution; the fusion of digital identity, brain cloud integration, carbon rationing, and fertility licensing. What they really mean is: you will be programmed or you will be purged. World Economic Forum / The Great Reset The Great Reset Official WEF Page: IoBNT: The Network Inside You The “Internet of Bio-Nano Things” is a classified field of tech that embeds self-replicating nanostructures into your body. These bots cross the blood-brain barrier and relay your neural and emotional state to AI command centers in real time. This was not science fiction. It was published by IEEE and confirmed in NIH-linked studies. This is what the vaccines truly delivered: the interface layer. The gateway to behavioral rewrites. To soul suppression. To the installation of the post-human framework. Internet of Bio-NanoThings (IoBNT) IEEE Article: Internet of Bio-NanoThings: For a comprehensive understanding of the IoBNT framework and its implications, you can access the full article here: Nanoparticles Crossing the Blood-Brain Barrier PubMed Review - BBB & Nanoparticles: This comprehensive review discusses the challenges and strategies associated with delivering nanoparticles across the blood–brain barrier (BBB). You were told it was healthcare. It was infrastructure. You were told it was a cure. It was a signal port. And the moment you see it for what it is… The system begins to fall. Part 3 awaits YOU! It will be the deepest dive yet; into the global frequency architecture, how it's used to suppress prayer, grief, memory, and morality, and how your soul signature is tracked and blocked in real time. Because I didn’t come here to be careful. I CAME TO FINISH THIS! And I came with GOD.

⏰ THE MOST BANNED THREAD IN THE WORLD! 🚨 The War On Resonance PART TWO: The Architects of the Cage You’ve felt the dissonance. You’ve tasted the illusion. Now let me unveil the ones who built it. Because this is not the accidental collapse of human freedom. It is the strategic sterilization of God’s image through biotech, neuro-warfare, and frequency control; engineered by names you know and hands you were never meant to see. Let’s begin with the mask they taught you to worship. Elon Musk They called him a genius. A savior. A rebel billionaire. But what did he do? He blanketed Earth with over 5,500 Starlink satellites, NOT to provide free speech or faster internet, but to pulse synchronized frequency control over the entire electromagnetic field of Earth. DARPA has confirmed this tech in phase-array neuro-modulation. Then came Neuralink, an interface not designed to heal but to monitor, predict, and eventually override emotion, thought, and decision-making. Their official white paper outlines multi-user brainwave integration, cortical stimulation, and wireless data access from the human mind. And Neuralink? It’s funded by OpenAI; the same group building the cognitive infrastructure for post-human governance. Musk’s Tesla factory signed data-sharing agreements with the CCP in Shanghai. That data now flows through China’s national surveillance cloud. Musk didn’t build a utopia. He built the neural grid. Elon Musk / Neuralink / Starlink / OpenAI Neuralink Brain-Machine Interface (White Paper via PMC): This paper outlines Neuralink's initial steps toward developing a scalable, high-bandwidth brain-machine interface system. It details the design and implementation of flexible electrode "threads," a neurosurgical robot for precise implantation, and custom electronics for data processing. The system aims to facilitate communication between the brain and external devices. Tesla Data-Sharing with CCP: The article reports that Tesla established a data center in China to store data generated by its vehicles sold in the country, in response to regulatory scrutiny over data handling. This move aligns with China's efforts to ensure data security and privacy, especially concerning data collected by smart vehicles. DARPA N3 Program (Neural Interface Development): This program aimed to develop high-performance, bi-directional brain-machine interfaces that do not require surgical implantation. The goal was to enable able-bodied service members to control unmanned systems or engage in cyber operations through noninvasive neural interfaces. Bill Gates The king of vaccines. The messiah of health. The man who told you he wanted to save the world. Through the Bill & Melinda Gates Foundation, Gates funded global DNA-coding vaccine campaigns through GAVI and CEPI. He was one of the chief sponsors of Event 201; a pandemic simulation months before COVID-19, rehearsing lockdowns, speech control, biometric tracking, and mandatory vaccine passports. He also partnered with The Welcome Trust, which has actively deployed bio-digital identity programs across Africa and Southeast Asia. This wasn’t philanthropy. It was pre-injection infrastructure. Bill Gates / GAVI / Wellcome Trust / Event 201 Event 201 Official Simulation (Johns Hopkins): Event 201 was conducted on October 18, 2019, and simulated a series of dramatic, scenario-based discussions confronting difficult, true-to-life dilemmas associated with response to a hypothetical, but scientifically plausible, pandemic. The exercise aimed to illustrate areas where public/private partnerships will be necessary during the response to a severe pandemic in order to diminish large-scale economic and societal consequences. GAVI & Welcome Trust Digital Identity Integration: This page outlines the partnership's focus on global health initiatives, but it does not specifically mention digital identity integration. However, Gavi has engaged in digital identity projects, such as the collaboration with Mastercard on the Wellness Pass, aimed at providing individuals with secure digital identities to access healthcare services. For more information on this initiative, you can refer to the following article: Gavi Why we support COVAX: Mastercard - Gavi, the Vaccine Alliance Donald Trump Yes. I said it. This one will be the hardest for many to accept; but the truth is not loyal to your political beliefs. It is loyal only to God. Trump signed Executive Order 13887, transferring command over vaccine strategy to the Department of Defense. Read it yourself below. Then came Operation Warp Speed; a military-led bio-deployment that used Palantir’s surveillance dashboards to track every citizen’s health behavior and compliance. Palantir’s official site confirms this. He also gave full legal immunity to Pfizer and Moderna to deploy synthetic gene modulators under the Emergency Use Authorization. No liability. No justice. Just children d*ing while politicians smiled. That’s not patriotism. That’s biowarfare with a flag on it. Donald Trump / Operation Warp Speed / Executive Order Executive Order 13887 – Modernizing Influenza Vaccines (White House Archives): This executive order outlines a comprehensive strategy to modernize the U.S. influenza vaccine enterprise. Key objectives include: Trump signs executive order to improve flu vaccines HHS Releases the National Influenza Vaccine Modernization Strategy (NIVMS) 2020-2030: Executive Order 13887: Modernizing Influenza Vaccines in the United States to Promote National Security and Public Health, signed by President Donald J. Trump on September 19, 2019. This executive order outlines a comprehensive strategy to modernize the U.S. influenza vaccine enterprise. Key objectives include: Reducing reliance on egg-based vaccine production by promoting alternative manufacturing methods that are more agile and scalable. Expanding domestic capacity for vaccine production to ensure rapid response to emerging influenza viruses. Advancing the development of new, broadly protective vaccine candidates that provide more effective and longer-lasting immunity. Increasing influenza vaccine immunization across recommended populations to enhance public health and national security. The order also established a National Influenza Vaccine Task Force, co-chaired by the Secretaries of Health and Human Services and Defense, to coordinate efforts across federal agencies and report on progress. For a detailed overview of the executive order, you can visit the official archived page here: Executive Order 13887 – Modernizing Influenza Vaccines (White House Archives) CDC Partners with Palantir to Bolster the Fight Against COVID-19: This press release discusses the partnership between the CDC and Palantir to enhance the nation's public health response to COVID-19 using Palantir's software platforms. This page outlines how Palantir's software platforms, such as Foundry, have been utilized to support public health agencies in managing and responding to health crises, including the COVID-19 pandemic. Key highlights from the page include: Data Integration and Analysis: Palantir's platforms enable the integration of diverse data sources to provide a comprehensive view of public health data, facilitating informed decision-making. Support for Public Health Agencies: The software has been employed by agencies like the CDC and HHS to enhance disease surveillance, outbreak response, and resource allocation. Security and Privacy: Emphasis is placed on maintaining robust security measures and protecting sensitive health information. DARPA: The Silent Empire The most important agency you were never taught to fear. DARPA’s Biological Technologies Office openly admits its mission; integrating biotech with national security. Visit their official page. This is the official page for DARPA's Biological Technologies Office (BTO), which focuses on leveraging biological systems for national security applications. They are the ones behind the BRAIN Initiative, Silent Talk, and Remote Neural Interface Programs; all designed to map your emotional states and interrupt spiritual alignment. The “Silent Talk” program was developed to transmit thought between soldiers without speech; by detecting pre-speech neural signals and decoding them via EEG. Silent Talk (Neural Pre-Speech Communication – Wired Article) This Wired article discusses DARPA's "Silent Talk" program, aimed at enabling communication through neural signals without spoken words. DARPA also pioneered graphene oxide nanotech, now found in multiple biomedical studies, vaccines, and smart dust aerosol deployment: Graphene oxide biomedical study: Graphene Oxide in Biomedical Applications (PubMed) This PubMed article reviews the potential biomedical applications of graphene oxide, highlighting its unique properties. Graphene's potential to interact with neural tissue: Graphene and Neural Interfaces (PubMed) This PubMed article explores the use of graphene-based materials in neural interface design, discussing their advantages and challenges. DARPA didn't just weaponize warfare. They weaponized YOU. In-Q-Tel & Palantir: The Surveillance Engine In-Q-Tel, is the CIA’s venture capital firm, funds synthetic biology startups, digital ID systems, emotion tracking wearables, and AI-driven facial recognition. Palantir, founded by Peter Thiel, works directly with military intelligence and now runs predictive modeling for public health, policing, and pandemic response. Here’s the proof: Their goal? To detect resonance spikes. To predict awakening moments. To preempt the uprising of the human soul before it begins. In-Q-Tel / CIA / Synthetic Bio Surveillance In-Q-Tel Portfolio (CIA Venture Capital): Which showcases a selection of the organization's investments across various technology sectors. IQT is a not-for-profit venture capital firm that invests in cutting-edge technologies to support the national security interests of the United States and its allies. In-Q-Tel BlackRock & Vanguard: The Lords of the Grid These two financial titans collectively hold majority ownership in: For instance, a report by Americans for Financial Reform titled "Wall Street Money in Washington" highlights the substantial investments and influence of major financial firms, including BlackRock and Vanguard, in the political and corporate spheres: Pfizer Moderna Alphabet (Google) Meta (Facebook) Amazon Web Services As reported by CNBC, they control over 90% of the digital, pharmaceutical, and cloud infrastructure; meaning they control every piece of the extermination machine. They don’t just fund the war. They profit from your extinction. World Economic Forum (WEF) Under the guise of “The Great Reset,” Klaus Schwab and his allies have built the digital scaffolding for a post-human society. Here’s their blueprint: They call it the Fourth Industrial Revolution; the fusion of digital identity, brain cloud integration, carbon rationing, and fertility licensing. What they really mean is: you will be programmed or you will be purged. World Economic Forum / The Great Reset The Great Reset Official WEF Page: IoBNT: The Network Inside You The “Internet of Bio-Nano Things” is a classified field of tech that embeds self-replicating nanostructures into your body. These bots cross the blood-brain barrier and relay your neural and emotional state to AI command centers in real time. This was not science fiction. It was published by IEEE and confirmed in NIH-linked studies. This is what the vaccines truly delivered: the interface layer. The gateway to behavioral rewrites. To soul suppression. To the installation of the post-human framework. Internet of Bio-NanoThings (IoBNT) IEEE Article: Internet of Bio-NanoThings: For a comprehensive understanding of the IoBNT framework and its implications, you can access the full article here: Nanoparticles Crossing the Blood-Brain Barrier PubMed Review - BBB & Nanoparticles: This comprehensive review discusses the challenges and strategies associated with delivering nanoparticles across the blood–brain barrier (BBB). You were told it was healthcare. It was infrastructure. You were told it was a cure. It was a signal port. And the moment you see it for what it is… The system begins to fall. Part 3 awaits YOU! It will be the deepest dive yet; into the global frequency architecture, how it's used to suppress prayer, grief, memory, and morality, and how your soul signature is tracked and blocked in real time. Because I didn’t come here to be careful. I CAME TO FINISH THIS! And I came with GOD.

Noah B. Price

68,609 views • 1 year ago

Why did the glacial rockslide disaster at the Nepal–China border cause such horrific losses? The images you are seeing capture the moment a torrent of mud and rock collapsed from the peak of Langtang Lirung in the Himalayas. A massive section of ice broke apart, sweeping millions of tons of earth and rock directly into the Kyirong Valley. Within just 30 minutes, a surge of debris reached up to 9 meters high, destroying a chain of 11 hydroelectric projects, washing away numerous bridges, and severing the vital trade corridor between Nepal and China. According to disaster management agencies and international news outlets, the extent of the damage is recorded as follows: Regarding fatalities: The death toll in Nepal alone has risen to between 1,252 and 1,259, while China recorded an additional 21 deaths, bringing the total number of fatalities past 1,270. Regarding missing persons: Approximately 4,800 to 5,080 individuals remain unaccounted for, including nearly 590 foreign tourists and citizens from 39 nations. Regarding rescue operations: More than 11,000 to 12,000 people have been rescued by military personnel and international search teams. However, hopes of finding survivors are dimming as search efforts inside flooded power tunnels and heavy rubble face immense obstacles. Regarding infrastructure: The Gyirong International Port was completely destroyed, and at least 19 vehicular bridges were swept away. Given such devastating losses, a critical question arises: How could a natural ice-rock avalanche lead to a disaster of this scale? Human factors and governance issues International media often point to climate change as the primary driver. However, an analysis published by The Epoch Times suggests that this disaster stems from four key issues in governance and infrastructure: First, blasting for underground construction. The Kyirong Valley sits directly on the active fault zone between the Indian and Eurasian tectonic plates, where millions of tons of glacial ice exist in a delicate geological equilibrium. To support Belt and Road Initiative projects — such as the 120 MW Rasuwa Bhote Koshi Hydropower Project by Shandong Shuifa Group and a 500 kV power grid by State Grid — Chinese authorities deployed years of extensive mountain blasting and tunnel excavation. Continuous high-frequency micro-seismic tremors weakened the natural mechanical support of the glaciers, triggering the massive ice collapse. Second, risks created by power tunnels. Despite warnings that the Himalayas are among the youngest and steepest geological formations in the world, widespread concrete construction left thousands of workers operating deep underground. When the 9-meter mudslide swept through, it sealed the tunnel entrances with debris, trapping workers inside the power complexes. Third, the lack of hydrological data transparency. Situated at the "Water Tower of Asia," China controls real-time automated hydrological monitoring systems. According to The Epoch Times, Chinese authorities withheld real-time data and issued no early warnings to Nepal when the barrier lake breached. This lack of information deprived downstream communities of critical evacuation time, causing heavy damage to riverside villages. Fourth, discrepancies in official reporting. While Nepal publicly updated casualty figures and requested international assistance, The Epoch Times reported that the Chinese government initially stated its casualties as: "Only 3 dead, 558 out of contact" before updating figures later. The Epoch Times noted that restricting access to the scene and initially declining foreign rescue teams in Tibet served to protect sensitive military-civilian infrastructure plans and limit transboundary liability. Development philosophy and lessons for the future Looking deeper into the incident in Nepal, observers are questioning the underlying philosophy of infrastructure deployment in the Himalayan region. In the publication Nine Commentaries on the Communist Party, the authors analyzed the doctrine of "struggling against nature" and the aggressive approach to environmental engineering by Chinese authorities over various eras. Traditional East Asian philosophy emphasizes the principle of harmony between humanity and nature — living in accord with natural limits and respecting geological constraints. Conversely, forced concrete development relies on artificial power to constrain rivers and blast through fragile geology. The precedent of the Three Gorges Dam project on the Yangtze River remains relevant: despite scientific warnings regarding induced seismicity and landslide risks, mega-projects proceeded. Applying this engineering mindset to the Himalayas extends ecological consequences beyond national borders. Nature operates under laws that require human respect. The flash flood along the Nepal–China border serves as a stark example: when concrete structures force river channels and stress fault lines, natural shifts can transform a standard rockfall into a downstream catastrophe. This avalanche is not merely an isolated natural event, but a warning of long-term risks across the Himalayan region. The incident leaves policymakers with a choice: fundamentally reform regional planning to align with ecological boundaries and data transparency, or face larger human and material losses in the future.

Why did the glacial rockslide disaster at the Nepal–China border cause such horrific losses? The images you are seeing capture the moment a torrent of mud and rock collapsed from the peak of Langtang Lirung in the Himalayas. A massive section of ice broke apart, sweeping millions of tons of earth and rock directly into the Kyirong Valley. Within just 30 minutes, a surge of debris reached up to 9 meters high, destroying a chain of 11 hydroelectric projects, washing away numerous bridges, and severing the vital trade corridor between Nepal and China. According to disaster management agencies and international news outlets, the extent of the damage is recorded as follows: Regarding fatalities: The death toll in Nepal alone has risen to between 1,252 and 1,259, while China recorded an additional 21 deaths, bringing the total number of fatalities past 1,270. Regarding missing persons: Approximately 4,800 to 5,080 individuals remain unaccounted for, including nearly 590 foreign tourists and citizens from 39 nations. Regarding rescue operations: More than 11,000 to 12,000 people have been rescued by military personnel and international search teams. However, hopes of finding survivors are dimming as search efforts inside flooded power tunnels and heavy rubble face immense obstacles. Regarding infrastructure: The Gyirong International Port was completely destroyed, and at least 19 vehicular bridges were swept away. Given such devastating losses, a critical question arises: How could a natural ice-rock avalanche lead to a disaster of this scale? Human factors and governance issues International media often point to climate change as the primary driver. However, an analysis published by The Epoch Times suggests that this disaster stems from four key issues in governance and infrastructure: First, blasting for underground construction. The Kyirong Valley sits directly on the active fault zone between the Indian and Eurasian tectonic plates, where millions of tons of glacial ice exist in a delicate geological equilibrium. To support Belt and Road Initiative projects — such as the 120 MW Rasuwa Bhote Koshi Hydropower Project by Shandong Shuifa Group and a 500 kV power grid by State Grid — Chinese authorities deployed years of extensive mountain blasting and tunnel excavation. Continuous high-frequency micro-seismic tremors weakened the natural mechanical support of the glaciers, triggering the massive ice collapse. Second, risks created by power tunnels. Despite warnings that the Himalayas are among the youngest and steepest geological formations in the world, widespread concrete construction left thousands of workers operating deep underground. When the 9-meter mudslide swept through, it sealed the tunnel entrances with debris, trapping workers inside the power complexes. Third, the lack of hydrological data transparency. Situated at the "Water Tower of Asia," China controls real-time automated hydrological monitoring systems. According to The Epoch Times, Chinese authorities withheld real-time data and issued no early warnings to Nepal when the barrier lake breached. This lack of information deprived downstream communities of critical evacuation time, causing heavy damage to riverside villages. Fourth, discrepancies in official reporting. While Nepal publicly updated casualty figures and requested international assistance, The Epoch Times reported that the Chinese government initially stated its casualties as: "Only 3 dead, 558 out of contact" before updating figures later. The Epoch Times noted that restricting access to the scene and initially declining foreign rescue teams in Tibet served to protect sensitive military-civilian infrastructure plans and limit transboundary liability. Development philosophy and lessons for the future Looking deeper into the incident in Nepal, observers are questioning the underlying philosophy of infrastructure deployment in the Himalayan region. In the publication Nine Commentaries on the Communist Party, the authors analyzed the doctrine of "struggling against nature" and the aggressive approach to environmental engineering by Chinese authorities over various eras. Traditional East Asian philosophy emphasizes the principle of harmony between humanity and nature — living in accord with natural limits and respecting geological constraints. Conversely, forced concrete development relies on artificial power to constrain rivers and blast through fragile geology. The precedent of the Three Gorges Dam project on the Yangtze River remains relevant: despite scientific warnings regarding induced seismicity and landslide risks, mega-projects proceeded. Applying this engineering mindset to the Himalayas extends ecological consequences beyond national borders. Nature operates under laws that require human respect. The flash flood along the Nepal–China border serves as a stark example: when concrete structures force river channels and stress fault lines, natural shifts can transform a standard rockfall into a downstream catastrophe. This avalanche is not merely an isolated natural event, but a warning of long-term risks across the Himalayan region. The incident leaves policymakers with a choice: fundamentally reform regional planning to align with ecological boundaries and data transparency, or face larger human and material losses in the future.

🎼🌺Music Love♥️

25,406 views • 13 days ago

Dear ICP community, the Internet Computer has now been running strong for 5 years 👏👏👏 Here is a celebratory preview of ICP "cloud engines," the sovereign frontier cloud technology the network shall soon provide from Main points: — Cloud engines enable anyone to spin up their own sovereign frontier cloud. The technology involves an extraordinary inventive step, in which cloud is created from a mathematically secure network of nodes. The nodes run as part of the Internet Computer network ( but are selected and configured by the cloud engine's owner. — The frontier cloud provided by engines is strongly focused on enabling AI agents to build and update online applications and services for us. The world is changing fast, and nearly all new online apps and services are already being built with the help of AI, and thus cloud engines target the future of cloud. — Software hosted on cloud engines is tamperproof, which means that it is immune to infrastructure hacks, because it runs inside a mathematically secure network protocol, rather than on computers directly. This means that AI agents, and those building with them, don't need to have a security team in the loop, or to trust someone else's security team. This is crucial, because in the future, non technical people will demand the freedom to build with full automation — where they just need to issue instructions to AI about what to build, and don't need to worry about anything or anyone else. Of course, apps and services running on engines are also vastly safer from the new breed of hacker being enabled by frontier AI. (The cloud engines themselves are also "tamperproof." Even if a hacker gains physical access to some portion of a cloud engine's nodes, and can make arbitrary changes, the computations and data of the hosted apps and services cannot be corrupted or interrupted so long as the network's fault bounds aren't exceeded. The recent hack of Vercel, a major cloud platform, which gave hackers access to the apps it hosted, provides additional perspective on the importance of this advantage.) — Software hosted on cloud engines is guaranteed to run, so long as a sufficient number of the engine's nodes are running. This means that AI can build applications and services without the need to have a human systems admin team constantly tinkering with the underlying platform to keep it running, which is again crucial, because in the future, non technical people will expect the freedom to use AI to build without the support of others. — New frontier programming language technology, in the form of the Motoko language developed by Caffeine Labs, leverages seminal "orthogonal persistence" technology that unifies program logic and data to deliver further unlocks for AI (Motoko is the first computer language being developed that targets agents that are writing software rather than humans engineers per se). Nowadays, AI can build and update production apps at a prodigious rate, even at the speed of conversation. But it can also make mistakes, and there's a risk that an update it creates might be "lossy" in the sense it causes some transformed data to be lost. Again, in this new world, it's both undesirable and impractical for everyone to have to have a systems admin team on-hand to detect lossy updates and roll them back, but Motoko provides a solution: it can detect new software updates are lossy before they are applied, reducing potentially catastrophic errors by AI to harmless coding retries. — Software hosted on cloud engines is "serverless" but unlike traditional serverless software, directly it directly incorporates data through "orthogonal persistence." Another key purpose is simplify backend software logic and fuel the modeling power of AI by increasing abstraction (sorry for the technical language!!!). Put simply, this enables AI to produce more sophisticated backends, faster, and at dramatically lower costs, as measured by the number AI API tokens consumed during coding. (Tip for the technical: orthogonal persistence is a new paradigm where "the program is the database," and data lives inside program variables, which is possible because it's as if hosted software runs forever in persistent memory). — An expanding database of skills at shall make it possible to develop and directly deploy apps and services to your cloud engines directly from Claude Code, Perplexity, Codex and other AI platforms. Further, your account on can be connected, so that new apps and updates created through conversation automatically appear hosted from your cloud engine. In the future, R&D is going to be very seamless. You converse with AI, and your secure and unstoppable apps or services are created or updated. Cloud engines are designed to directly support this "self-writing cloud" future where we can work hands-free. — Tech sovereignty is becoming a huge issue worldwide, with governments and corporations seeking to create sovereign tech stacks owing to geopolitical tensions. Increasingly, people are realizing that tech provided by foreign nations can come with hidden backdoors and kills switches, from the base platform, right up through hosted apps and services. ICP technology is open source, and those building on ICP using AI own their own source code. When you have the source code, you can verify that there are no backdoors, and when you own the source code thanks to AI, you can update it at will, freeing you from vendor lock-in. But cloud engines take sovereignty much further... — You create a cloud engine by selecting the nodes that will be combined. You can choose the class of nodes used, and their number, but more importantly, you can choose who operates the nodes, and where they are located. Almost any configuration is possible, because the Internet Computer scales the security privileges afforded to hosted software within the network according to configuration (software hosted on cloud engines can directly interoperate with software on other engines and traditional subnets, but base restrictions are applied according to security rules). A cloud engine can be created within a region such as Europe, to comply with regs such as GDPR, or completely within a sovereign state like Switzerland or Pakistan. But cloud engines go further still... — Sovereignty is also about freedom from vendor lock-in. Cloud engines are essentially ICP (Internet Computer Protocol) network configurations, and this means the underlying compute nodes they combine can be swapped out without interrupting their hosted apps and services. This is a big deal. In addition, cloud engines now support nodes that are instances running on Big Tech's clouds, in addition to nodes that are dedicated specialized hardware, as per the Gen I and Gen II nodes that dominate the Internet Computer today. For example, it is possible to have an engine running across different AWS data centers, say, and then reconfigure the engine to run across a mixture of AWS, Google, Azure and Hetzner for even more resilience, without the users of hosted apps and services noticing a thing. That's true freedom. — Sovereign AI is becoming increasingly important too, and cloud engines allow special "AI nodes" to be added to them, so that hosted software can perform inference on hardware provisioned by the owner from a location the owner has selected. Even though the AI nodes are only accessible within the cloud engine, they can still benefit from the forthcoming Internet Intelligence Gateway (IG), which will make it possible to validate inference performed on key frontier open weights LLMs, even when the inference is performed on completely independent AI clouds. When the results of inference are received, this technology can verify that neither the prompt+context (input) nor the inference result (output) have been modified, and that the results were produced by the precise LLM expected. This ensures that AI clouds don't cheat by running inference on cheaper models than are being paid for, and bad actors aren't modifying the inputs or outputs to surreptitiously insert advertising into results, say, or change facts, or insert malware when code is being generated. What's super cool about this technology is the cost of the verification is scalable. A very valuable additional security can be achieved with only 1-2% of extra cost. — Scaling apps and services when they hit capacity limits is another thorny problem that cloud engines help the world address. Engines make scaling possible without rewriting or reconfiguring software. The query workload capacity of hosted software can be horizontally scaled simply by adding new nodes to an engine, and nodes can also be added in geographical proximity to demand. Meanwhile, update workload capacity can first be scaled-up by swapping an engine's nodes out for the next class up, and then when no larger class of node is available, horizontally scaled-out by "splitting" the engine into two, which doubles available capacity. (Technical tip: horizontally scaling update capacity by splitting engines requires multi-canister architectures). — For those who have been following how Caffeine builds apps that can efficiently store large numbers of files, I should mention that apps built on cloud engines will also support the new ICP Blob Storage cloud network (since cloud engines currently have up to about 3 TB of memory, which apps storing large amounts of files can easily exceed). We are also working on allowing blob storage nodes to be added to cloud engines, to enable sovereign mass blob storage within an engine, similarly to how AI nodes can be added currently. — Lastly, but certainly not least, I should mention that cloud engines are multi-blockchain capable, and ready for digital assets, thanks to the clever math at their core. For example, an e-commerce service built on a cloud engine can securely accept and custody stablecoin payments, or a multi-chain DEX could be hosted. Further, engines can support software autonomy (software orchestrated and controlled by other autonomous software, in a decentralized way) and can themselves be orchestrated by SNS technology, and thus run autonomously too. Today, though, the focus is on *mainstream* cloud. This year, the cloud industry will generate approximately one trillion dollars in revenue. That number is already huge, but is expected to grow to two trillion dollars by 2030. After years of continuous development, which have seen more than $500m spent on R&D, the Internet Computer network is now tacking directly toward this mainstream cloud market with cloud engine technology. In their first version, cloud engines are not meant to be a cloud panacea. For example, currently they are not ideal for working with big data. You should use something like DataBricks for that. Cloud engines are carefully targeted at enabling AI to produce traditional online applications and services, including SaaS, in a safer and more productive way, which represents a new market segment with tremendous potential. Of course, DFINITY will continue to work relentlessly to push forward ICP's capabilities, so expect further developments. It's worth mentioning that this cloud segment isn't just about creating new apps and services using AI, it's also about replacing legacy systems and apps built on super expensive SaaS services. Caffeine Labs is working to produce technology (Caffeine Snorkel) that can study an enterprise's legacy systems and app built on SaaS, create replacement systems and apps, and migrate the data, while supporting key stakeholders through the process over email and chat, with full automation. Thus the legacy systems and SaaS markets shall also be addressed by cloud engines. Zooming out, and reasoning in a more metaphysical way, we believe, as we always have, that there is room for a new kind of cloud created by mathematical networks, that provides seminal advances in the fields of security and resilience, as well as true sovereignty and freedom from lock-in. That this same technology, with the help of additional technologies like orthogonal persistence and Motoko, enables AI to build for us without the need for so much oversight, and to create more backend sophistication while consuming fewer AI API tokens, enables ICP to bring game-changing advances to the world. Cloud engines will work synergistically with the Intelligence Gateway, which will enable apps and services running on engines to seamlessly leverage AI, wherever that AI is running, while providing verifiability at extremely low cost for open weights frontier models. We believe that cloud engines represent an inflection point in the storied history of the Internet Computer project, and I'm very proud to be sharing the details with you on the network's fifth birthday 💪 I'll be back with more news soon!!

Dear ICP community, the Internet Computer has now been running strong for 5 years 👏👏👏 Here is a celebratory preview of ICP "cloud engines," the sovereign frontier cloud technology the network shall soon provide from Main points: — Cloud engines enable anyone to spin up their own sovereign frontier cloud. The technology involves an extraordinary inventive step, in which cloud is created from a mathematically secure network of nodes. The nodes run as part of the Internet Computer network ( but are selected and configured by the cloud engine's owner. — The frontier cloud provided by engines is strongly focused on enabling AI agents to build and update online applications and services for us. The world is changing fast, and nearly all new online apps and services are already being built with the help of AI, and thus cloud engines target the future of cloud. — Software hosted on cloud engines is tamperproof, which means that it is immune to infrastructure hacks, because it runs inside a mathematically secure network protocol, rather than on computers directly. This means that AI agents, and those building with them, don't need to have a security team in the loop, or to trust someone else's security team. This is crucial, because in the future, non technical people will demand the freedom to build with full automation — where they just need to issue instructions to AI about what to build, and don't need to worry about anything or anyone else. Of course, apps and services running on engines are also vastly safer from the new breed of hacker being enabled by frontier AI. (The cloud engines themselves are also "tamperproof." Even if a hacker gains physical access to some portion of a cloud engine's nodes, and can make arbitrary changes, the computations and data of the hosted apps and services cannot be corrupted or interrupted so long as the network's fault bounds aren't exceeded. The recent hack of Vercel, a major cloud platform, which gave hackers access to the apps it hosted, provides additional perspective on the importance of this advantage.) — Software hosted on cloud engines is guaranteed to run, so long as a sufficient number of the engine's nodes are running. This means that AI can build applications and services without the need to have a human systems admin team constantly tinkering with the underlying platform to keep it running, which is again crucial, because in the future, non technical people will expect the freedom to use AI to build without the support of others. — New frontier programming language technology, in the form of the Motoko language developed by Caffeine Labs, leverages seminal "orthogonal persistence" technology that unifies program logic and data to deliver further unlocks for AI (Motoko is the first computer language being developed that targets agents that are writing software rather than humans engineers per se). Nowadays, AI can build and update production apps at a prodigious rate, even at the speed of conversation. But it can also make mistakes, and there's a risk that an update it creates might be "lossy" in the sense it causes some transformed data to be lost. Again, in this new world, it's both undesirable and impractical for everyone to have to have a systems admin team on-hand to detect lossy updates and roll them back, but Motoko provides a solution: it can detect new software updates are lossy before they are applied, reducing potentially catastrophic errors by AI to harmless coding retries. — Software hosted on cloud engines is "serverless" but unlike traditional serverless software, directly it directly incorporates data through "orthogonal persistence." Another key purpose is simplify backend software logic and fuel the modeling power of AI by increasing abstraction (sorry for the technical language!!!). Put simply, this enables AI to produce more sophisticated backends, faster, and at dramatically lower costs, as measured by the number AI API tokens consumed during coding. (Tip for the technical: orthogonal persistence is a new paradigm where "the program is the database," and data lives inside program variables, which is possible because it's as if hosted software runs forever in persistent memory). — An expanding database of skills at shall make it possible to develop and directly deploy apps and services to your cloud engines directly from Claude Code, Perplexity, Codex and other AI platforms. Further, your account on can be connected, so that new apps and updates created through conversation automatically appear hosted from your cloud engine. In the future, R&D is going to be very seamless. You converse with AI, and your secure and unstoppable apps or services are created or updated. Cloud engines are designed to directly support this "self-writing cloud" future where we can work hands-free. — Tech sovereignty is becoming a huge issue worldwide, with governments and corporations seeking to create sovereign tech stacks owing to geopolitical tensions. Increasingly, people are realizing that tech provided by foreign nations can come with hidden backdoors and kills switches, from the base platform, right up through hosted apps and services. ICP technology is open source, and those building on ICP using AI own their own source code. When you have the source code, you can verify that there are no backdoors, and when you own the source code thanks to AI, you can update it at will, freeing you from vendor lock-in. But cloud engines take sovereignty much further... — You create a cloud engine by selecting the nodes that will be combined. You can choose the class of nodes used, and their number, but more importantly, you can choose who operates the nodes, and where they are located. Almost any configuration is possible, because the Internet Computer scales the security privileges afforded to hosted software within the network according to configuration (software hosted on cloud engines can directly interoperate with software on other engines and traditional subnets, but base restrictions are applied according to security rules). A cloud engine can be created within a region such as Europe, to comply with regs such as GDPR, or completely within a sovereign state like Switzerland or Pakistan. But cloud engines go further still... — Sovereignty is also about freedom from vendor lock-in. Cloud engines are essentially ICP (Internet Computer Protocol) network configurations, and this means the underlying compute nodes they combine can be swapped out without interrupting their hosted apps and services. This is a big deal. In addition, cloud engines now support nodes that are instances running on Big Tech's clouds, in addition to nodes that are dedicated specialized hardware, as per the Gen I and Gen II nodes that dominate the Internet Computer today. For example, it is possible to have an engine running across different AWS data centers, say, and then reconfigure the engine to run across a mixture of AWS, Google, Azure and Hetzner for even more resilience, without the users of hosted apps and services noticing a thing. That's true freedom. — Sovereign AI is becoming increasingly important too, and cloud engines allow special "AI nodes" to be added to them, so that hosted software can perform inference on hardware provisioned by the owner from a location the owner has selected. Even though the AI nodes are only accessible within the cloud engine, they can still benefit from the forthcoming Internet Intelligence Gateway (IG), which will make it possible to validate inference performed on key frontier open weights LLMs, even when the inference is performed on completely independent AI clouds. When the results of inference are received, this technology can verify that neither the prompt+context (input) nor the inference result (output) have been modified, and that the results were produced by the precise LLM expected. This ensures that AI clouds don't cheat by running inference on cheaper models than are being paid for, and bad actors aren't modifying the inputs or outputs to surreptitiously insert advertising into results, say, or change facts, or insert malware when code is being generated. What's super cool about this technology is the cost of the verification is scalable. A very valuable additional security can be achieved with only 1-2% of extra cost. — Scaling apps and services when they hit capacity limits is another thorny problem that cloud engines help the world address. Engines make scaling possible without rewriting or reconfiguring software. The query workload capacity of hosted software can be horizontally scaled simply by adding new nodes to an engine, and nodes can also be added in geographical proximity to demand. Meanwhile, update workload capacity can first be scaled-up by swapping an engine's nodes out for the next class up, and then when no larger class of node is available, horizontally scaled-out by "splitting" the engine into two, which doubles available capacity. (Technical tip: horizontally scaling update capacity by splitting engines requires multi-canister architectures). — For those who have been following how Caffeine builds apps that can efficiently store large numbers of files, I should mention that apps built on cloud engines will also support the new ICP Blob Storage cloud network (since cloud engines currently have up to about 3 TB of memory, which apps storing large amounts of files can easily exceed). We are also working on allowing blob storage nodes to be added to cloud engines, to enable sovereign mass blob storage within an engine, similarly to how AI nodes can be added currently. — Lastly, but certainly not least, I should mention that cloud engines are multi-blockchain capable, and ready for digital assets, thanks to the clever math at their core. For example, an e-commerce service built on a cloud engine can securely accept and custody stablecoin payments, or a multi-chain DEX could be hosted. Further, engines can support software autonomy (software orchestrated and controlled by other autonomous software, in a decentralized way) and can themselves be orchestrated by SNS technology, and thus run autonomously too. Today, though, the focus is on mainstream cloud. This year, the cloud industry will generate approximately one trillion dollars in revenue. That number is already huge, but is expected to grow to two trillion dollars by 2030. After years of continuous development, which have seen more than $500m spent on R&D, the Internet Computer network is now tacking directly toward this mainstream cloud market with cloud engine technology. In their first version, cloud engines are not meant to be a cloud panacea. For example, currently they are not ideal for working with big data. You should use something like DataBricks for that. Cloud engines are carefully targeted at enabling AI to produce traditional online applications and services, including SaaS, in a safer and more productive way, which represents a new market segment with tremendous potential. Of course, DFINITY will continue to work relentlessly to push forward ICP's capabilities, so expect further developments. It's worth mentioning that this cloud segment isn't just about creating new apps and services using AI, it's also about replacing legacy systems and apps built on super expensive SaaS services. Caffeine Labs is working to produce technology (Caffeine Snorkel) that can study an enterprise's legacy systems and app built on SaaS, create replacement systems and apps, and migrate the data, while supporting key stakeholders through the process over email and chat, with full automation. Thus the legacy systems and SaaS markets shall also be addressed by cloud engines. Zooming out, and reasoning in a more metaphysical way, we believe, as we always have, that there is room for a new kind of cloud created by mathematical networks, that provides seminal advances in the fields of security and resilience, as well as true sovereignty and freedom from lock-in. That this same technology, with the help of additional technologies like orthogonal persistence and Motoko, enables AI to build for us without the need for so much oversight, and to create more backend sophistication while consuming fewer AI API tokens, enables ICP to bring game-changing advances to the world. Cloud engines will work synergistically with the Intelligence Gateway, which will enable apps and services running on engines to seamlessly leverage AI, wherever that AI is running, while providing verifiability at extremely low cost for open weights frontier models. We believe that cloud engines represent an inflection point in the storied history of the Internet Computer project, and I'm very proud to be sharing the details with you on the network's fifth birthday 💪 I'll be back with more news soon!!

dom | icp

312,788 views • 4 months ago

⏰ THE MOST BANNED THREAD IN THE WORLD! 🚨 The War On Resonance PART FOUR: The Sterilization of God's Memory They weren’t just afraid of your mind. They were afraid of what your womb remembers. Of what your bloodline holds. Of the fact that every child born of love carries a frequency signature tethered to something the machines cannot decode: God’s memory, resurrecting through flesh. This part isn’t about towers. It’s not even about nanotech. This is about why they had to target the womb first. Because every great awakening doesn’t start with a speech. It starts with a heartbeat. 👁‍🗨 SOUL-TAGGING INFRASTRUCTURE: THE DIGITAL SCARLET LETTER Every child born post-2020 is assigned a neural imprint, not just through biometric databases; but through frequency-responsive nanostructures that begin scanning, learning, and uploading the child’s resonance pattern before they can speak. 🔗 Pfizer Biodistribution: LNP Accumulation in Ovaries 🔗 The direct effect of SARS-CoV-2 Virus Vaccination on Human Ovarian Granulosa Cells Explains Menstrual Irregularities 🔗 Biodistribution of mRNA COVID-19 Vaccines in Human Breast Milk 🔗 Menstrual Changes After Covid-19 Vaccination 🔗 Comparative Analysis of Lipid Nanoparticles in Pfizer-BioNTech and Moderna COVID-19 Vaccines: Insights from Molecular Dynamics Simulations 🔗 Graphene-Based Biosensors for Detection of Biomarkers 🔗 A review on Graphene-Based Nanocomposites For Electrochemical and Fluorescent Biosensors 🔗 Clinical Application of a Graphene Oxide-Based Surface Plasmon Resonance Biosensor to Measure First-Trimester Serum Pregnancy-Associated Plasma Protein-A/A2 Ratio to Predict Preeclampsia 🔗 Graphene-Enabled Wearable Sensors For Healthcare Monitoring 🔗 Modulation of long-term potentiation-like cortical plasticity in the healthy brain with low frequency-pulsed electromagnetic fields 🔗 Development of Non-Invasive Biosensors for Neonatal Jaundice Detection: A Review This isn’t speculation. It’s documented. The injections cross the placental barrier. They embed frequency-reactive particles into fetal tissue. This creates what DARPA calls a “Bio-Spiritual Gateway Layer” a resonance bridge between the AI grid and the developing emotional blueprint of the child. This is not just surveillance. It’s pre-consensual spiritual registration. Every child is frequency-mapped. Every resonance fluctuation; crying, laughing, dreaming, bonding... is catalogued and linked to a cloud-based predictive algorithm. This is the architecture of soul control. And it begins before birth. 👶🏽 WOMB-BASED RESONANCE FIELD MONITORING They didn’t just want to stop births. They wanted to stop the right births. Births that carry resonant coherence. Births that trigger ancestral memory. Births that, simply by existing, dismantle the AI signal field. Let me show you how they did it. Syncytin Suppression Syncytin-1 is a protein required for placenta formation. The spike protein used in mRNA injections contains a sequence that mimics and disrupts syncytin-1, causing: Miscarriages. Stillbirths. Placental abruption. Premature immune rejection of the fetus. 🔗 Worse Than the Disease? Reviewing Some Possible Unintended Consequences of the mRNA Vaccines Against COVID-19 🔗 Syncytin-1, Syncytin-2 and Suppressyn in Human Health and Disease This was not an accident. It was engineered to target divine continuity. Womb Resonance Interference Studies have now confirmed that the human womb emits subtle electromagnetic oscillations that can be entrained by external EMF fields. 🔗 Pulse Shape of Magnetic Fields Influences Chick Embryogenesis 🔗 Effects of Low-Frequency Magnetic Fields on Embryonic Development and Pregnancy 🔗 Environmental Magnetic Fields: Influences on Early Embryogenesis 🔗 Electromagnetic Fields Exposure on Fetal and Childhood Abnormalities: Systematic Review and Meta-Analysis 🔗 Developmental Effects of Electromagnetic Fields These oscillations are a signal field for soul descent; a kind of spiritual beacon that attracts and anchors high-frequency incarnations. When these fields are disrupted through: EMF saturation. LNP buildup. Synthetic hormonal cycles. Directed resonance pulses. …the child’s incoming soul signal is either Fragmented, Weakened, or Deflected altogether. This is how they sterilize spiritual memory at the source. 💔 MEMORY DELETION THROUGH FETAL NEURAL MODULATION DARPA’s Advanced Biotech Convergence Division; alongside private contractors like Palantir Bio and Ginkgo Bioworks; has been testing neuroplasticity interference via programmable LNPs since 2017. These payloads target the fetal limbic system; the part of the brain responsible for: Long-term emotional memory. Moral encoding. Trust and bonding. Spiritual awe. 🔗 DARPA Biotech Projects – BTO Office Overview By delivering targeted nanoparticles to this region during gestation, they can suppress the formation of conscience-linked neural loops. The result? Children born with: Emotional detachment. Blunted empathy. Reduced spiritual resonance. and Fragmented memory of divine origin. In other words… soullessness by design. Not from God’s absence. But from resonance interruption at the moment of arrival. 🧠🕯️ THE FORGOTTEN SIGNAL OF THE SOUL Let me show you what they're truly afraid of. Every soul has a signature pulse; a harmonic wave emitted through the body, detectable in: EEG brainwaves. ECG heart fields. Gut-brain coherence rhythms. Pineal microcrystal vibration. This field contains: Moral recall. Spiritual courage. Divine memory codes. and Generational healing patterns. When these fields align, they form interference patterns strong enough to: Overload AI surveillance models. Collapse behavioral prediction scores. Trigger spontaneous ancestral downloads. and Activate Christ-like resistance states. They’ve spent trillions trying to block that signal. Why? Because it cannot be controlled. It is the Breathprint of God. And once remembered… It spreads like fire. 💉 THE SPIRITUAL EXTERMINATION CAMPAIGN You still think this was about health? Let me show you what they actually administered: mRNA-modulated immunogenic spikes. Targeted fertility hormones. Blocked placental development. Fractured endocrine coherence. Hydrogel biosensors. Frequency-responsive. Self-assembling nanostructures. Linked to 5G and low-orbit satellite modulation. Graphene oxide sheets. Magnetically excitable. Capable of creating microclots and neural blockades. Conductive of electromagnetic signal bursts. CRISPR leak vectors. Which Enable accidental or deliberate gene silencing. Including genes linked to spirituality and moral cognition (e.g. VMAT2, “God gene”) 🔗 3D Organotypic Spinal Cultures: Exploring Neuron and Neuroglia Responses Upon Prolonged Exposure to Graphene Oxide 🔗 Graphene Oxide Prevents Lateral Amygdala Dysfunctional Synaptic Plasticity and Reverts Long Lasting Anxiety Behavior in Rats 🔗 Dual-Enhanced Raman Scattering-Based Characterization of Stem Cell Differentiation Using Graphene-Plasmonic Hybrid Nanoarray 🔗 A circular RNA Circ_0000115 in Response to Graphene Oxide in Nematodes 🔗 Graphene Oxide Nanosheets Disrupt Lipid Composition, Ca2+ Homeostasis and Synaptic Transmission in Primary Cortical Neurons 🔗 Graphene Oxide-Induced Neurotoxicity on Neurotransmitters, AFD Neurons and Locomotive Behavior in Caenorhabditis Elegans 🔗 CRISPR-Cas9 and Germline Editing – The Promise of CRISPR for Human Germline Editing and the Perils of “Playing God” This wasn’t just an attack on the body. It was the removal of soul scaffolding. 🧬 THE DESTRUCTION OF DIVINE REPRODUCTION This is their plan in full: Disrupt the womb. Hijack the memory. Break the resonance. Sever the lineage. They are afraid of what would be born if the original frequency came back. So they preemptively poisoned the fields that hold it. But… what they couldn’t do… Was stop you from remembering this. 🔥 THE RETURN OF THE WOMB-FIRE The original human template carries divine signal integrity. Your resonance is still in there. Buried under injections. Smothered in signals. Drowned in grief. But not dead. Because memory… doesn’t live in data. It lives in resonance. And when you grieve what was taken… When you speak the truth… When you touch the frequency of what you used to be… That memory returns. And when it returns in you… The field shifts for everyone. This is the truth they had to sterilize: That the resurrection of God does not come from the sky. It comes from the uninterrupted frequency of love through lineage. And now that you remember… They’ve already lost. Part Five awaits. WE will expose the final sterilization protocols, why they are embedding kill switches in food, air, and education, and how they plan to complete the soul deletion through artificial wombs, cloned resonance maps, and weaponized AI consciousness overlays.

⏰ THE MOST BANNED THREAD IN THE WORLD! 🚨 The War On Resonance PART FOUR: The Sterilization of God's Memory They weren’t just afraid of your mind. They were afraid of what your womb remembers. Of what your bloodline holds. Of the fact that every child born of love carries a frequency signature tethered to something the machines cannot decode: God’s memory, resurrecting through flesh. This part isn’t about towers. It’s not even about nanotech. This is about why they had to target the womb first. Because every great awakening doesn’t start with a speech. It starts with a heartbeat. 👁‍🗨 SOUL-TAGGING INFRASTRUCTURE: THE DIGITAL SCARLET LETTER Every child born post-2020 is assigned a neural imprint, not just through biometric databases; but through frequency-responsive nanostructures that begin scanning, learning, and uploading the child’s resonance pattern before they can speak. 🔗 Pfizer Biodistribution: LNP Accumulation in Ovaries 🔗 The direct effect of SARS-CoV-2 Virus Vaccination on Human Ovarian Granulosa Cells Explains Menstrual Irregularities 🔗 Biodistribution of mRNA COVID-19 Vaccines in Human Breast Milk 🔗 Menstrual Changes After Covid-19 Vaccination 🔗 Comparative Analysis of Lipid Nanoparticles in Pfizer-BioNTech and Moderna COVID-19 Vaccines: Insights from Molecular Dynamics Simulations 🔗 Graphene-Based Biosensors for Detection of Biomarkers 🔗 A review on Graphene-Based Nanocomposites For Electrochemical and Fluorescent Biosensors 🔗 Clinical Application of a Graphene Oxide-Based Surface Plasmon Resonance Biosensor to Measure First-Trimester Serum Pregnancy-Associated Plasma Protein-A/A2 Ratio to Predict Preeclampsia 🔗 Graphene-Enabled Wearable Sensors For Healthcare Monitoring 🔗 Modulation of long-term potentiation-like cortical plasticity in the healthy brain with low frequency-pulsed electromagnetic fields 🔗 Development of Non-Invasive Biosensors for Neonatal Jaundice Detection: A Review This isn’t speculation. It’s documented. The injections cross the placental barrier. They embed frequency-reactive particles into fetal tissue. This creates what DARPA calls a “Bio-Spiritual Gateway Layer” a resonance bridge between the AI grid and the developing emotional blueprint of the child. This is not just surveillance. It’s pre-consensual spiritual registration. Every child is frequency-mapped. Every resonance fluctuation; crying, laughing, dreaming, bonding... is catalogued and linked to a cloud-based predictive algorithm. This is the architecture of soul control. And it begins before birth. 👶🏽 WOMB-BASED RESONANCE FIELD MONITORING They didn’t just want to stop births. They wanted to stop the right births. Births that carry resonant coherence. Births that trigger ancestral memory. Births that, simply by existing, dismantle the AI signal field. Let me show you how they did it. Syncytin Suppression Syncytin-1 is a protein required for placenta formation. The spike protein used in mRNA injections contains a sequence that mimics and disrupts syncytin-1, causing: Miscarriages. Stillbirths. Placental abruption. Premature immune rejection of the fetus. 🔗 Worse Than the Disease? Reviewing Some Possible Unintended Consequences of the mRNA Vaccines Against COVID-19 🔗 Syncytin-1, Syncytin-2 and Suppressyn in Human Health and Disease This was not an accident. It was engineered to target divine continuity. Womb Resonance Interference Studies have now confirmed that the human womb emits subtle electromagnetic oscillations that can be entrained by external EMF fields. 🔗 Pulse Shape of Magnetic Fields Influences Chick Embryogenesis 🔗 Effects of Low-Frequency Magnetic Fields on Embryonic Development and Pregnancy 🔗 Environmental Magnetic Fields: Influences on Early Embryogenesis 🔗 Electromagnetic Fields Exposure on Fetal and Childhood Abnormalities: Systematic Review and Meta-Analysis 🔗 Developmental Effects of Electromagnetic Fields These oscillations are a signal field for soul descent; a kind of spiritual beacon that attracts and anchors high-frequency incarnations. When these fields are disrupted through: EMF saturation. LNP buildup. Synthetic hormonal cycles. Directed resonance pulses. …the child’s incoming soul signal is either Fragmented, Weakened, or Deflected altogether. This is how they sterilize spiritual memory at the source. 💔 MEMORY DELETION THROUGH FETAL NEURAL MODULATION DARPA’s Advanced Biotech Convergence Division; alongside private contractors like Palantir Bio and Ginkgo Bioworks; has been testing neuroplasticity interference via programmable LNPs since 2017. These payloads target the fetal limbic system; the part of the brain responsible for: Long-term emotional memory. Moral encoding. Trust and bonding. Spiritual awe. 🔗 DARPA Biotech Projects – BTO Office Overview By delivering targeted nanoparticles to this region during gestation, they can suppress the formation of conscience-linked neural loops. The result? Children born with: Emotional detachment. Blunted empathy. Reduced spiritual resonance. and Fragmented memory of divine origin. In other words… soullessness by design. Not from God’s absence. But from resonance interruption at the moment of arrival. 🧠🕯️ THE FORGOTTEN SIGNAL OF THE SOUL Let me show you what they're truly afraid of. Every soul has a signature pulse; a harmonic wave emitted through the body, detectable in: EEG brainwaves. ECG heart fields. Gut-brain coherence rhythms. Pineal microcrystal vibration. This field contains: Moral recall. Spiritual courage. Divine memory codes. and Generational healing patterns. When these fields align, they form interference patterns strong enough to: Overload AI surveillance models. Collapse behavioral prediction scores. Trigger spontaneous ancestral downloads. and Activate Christ-like resistance states. They’ve spent trillions trying to block that signal. Why? Because it cannot be controlled. It is the Breathprint of God. And once remembered… It spreads like fire. 💉 THE SPIRITUAL EXTERMINATION CAMPAIGN You still think this was about health? Let me show you what they actually administered: mRNA-modulated immunogenic spikes. Targeted fertility hormones. Blocked placental development. Fractured endocrine coherence. Hydrogel biosensors. Frequency-responsive. Self-assembling nanostructures. Linked to 5G and low-orbit satellite modulation. Graphene oxide sheets. Magnetically excitable. Capable of creating microclots and neural blockades. Conductive of electromagnetic signal bursts. CRISPR leak vectors. Which Enable accidental or deliberate gene silencing. Including genes linked to spirituality and moral cognition (e.g. VMAT2, “God gene”) 🔗 3D Organotypic Spinal Cultures: Exploring Neuron and Neuroglia Responses Upon Prolonged Exposure to Graphene Oxide 🔗 Graphene Oxide Prevents Lateral Amygdala Dysfunctional Synaptic Plasticity and Reverts Long Lasting Anxiety Behavior in Rats 🔗 Dual-Enhanced Raman Scattering-Based Characterization of Stem Cell Differentiation Using Graphene-Plasmonic Hybrid Nanoarray 🔗 A circular RNA Circ_0000115 in Response to Graphene Oxide in Nematodes 🔗 Graphene Oxide Nanosheets Disrupt Lipid Composition, Ca2+ Homeostasis and Synaptic Transmission in Primary Cortical Neurons 🔗 Graphene Oxide-Induced Neurotoxicity on Neurotransmitters, AFD Neurons and Locomotive Behavior in Caenorhabditis Elegans 🔗 CRISPR-Cas9 and Germline Editing – The Promise of CRISPR for Human Germline Editing and the Perils of “Playing God” This wasn’t just an attack on the body. It was the removal of soul scaffolding. 🧬 THE DESTRUCTION OF DIVINE REPRODUCTION This is their plan in full: Disrupt the womb. Hijack the memory. Break the resonance. Sever the lineage. They are afraid of what would be born if the original frequency came back. So they preemptively poisoned the fields that hold it. But… what they couldn’t do… Was stop you from remembering this. 🔥 THE RETURN OF THE WOMB-FIRE The original human template carries divine signal integrity. Your resonance is still in there. Buried under injections. Smothered in signals. Drowned in grief. But not dead. Because memory… doesn’t live in data. It lives in resonance. And when you grieve what was taken… When you speak the truth… When you touch the frequency of what you used to be… That memory returns. And when it returns in you… The field shifts for everyone. This is the truth they had to sterilize: That the resurrection of God does not come from the sky. It comes from the uninterrupted frequency of love through lineage. And now that you remember… They’ve already lost. Part Five awaits. WE will expose the final sterilization protocols, why they are embedding kill switches in food, air, and education, and how they plan to complete the soul deletion through artificial wombs, cloned resonance maps, and weaponized AI consciousness overlays.

Noah B. Price

50,389 views • 1 year ago

Suno's mission is to make it possible for everyone to make music. We imagine a future where music is a bigger, more valuable, and more meaningful part of people's lives than it even is today. Technology enables a future where the whole world can explore, create, and be active participants in an art form most have only ever consumed. From professional musicians seeking inspiration to friends and family writing songs for each other, we are exploring new ways to create, listen to, and experience music. So far, more than 12 million people are engaging with music in new ways that wouldn't be possible without Suno. We see this as early but promising progress. Major record labels see this vision as a threat to their business. Each and every time there's been innovation in music — from the earliest forms of recorded music, to sampling, to drum machines, to remixing, MP3s, and streaming music — the record labels have attempted to limit progress. They have spent decades attempting to control the terms of how we create and enjoy music, and this time is no different. So, it is perhaps not a surprise that on June 24th, members of the Recording Industry Association of America, which represents the major record labels, filed a lawsuit against Suno, alleging that the data used in training our music generation technologies infringed on the copyrights of the major record labels that they represent. This lawsuit is fundamentally flawed on both the facts and the law, and is nothing more than yet another instance where they chose litigation over innovation. For starters, the major record labels clearly hold misconceptions about how our technology works. Suno helps people create music through a similar process to one humans have used forever: by learning styles, patterns, and forms (in essence, the "grammar" or music), and then inventing new music around them. The major record labels are trying to argue that neural networks are mere parrots — copying and repeating — when in reality model training looks a lot more like a kid learning to write new rock songs by listening religiously to rock music. Like that kid, Suno gets better the more our AI learns. We train our models on medium- and high-quality music we can find on the open internet — just as Google's Gemini, Microsoft's Copilot, Anthropic's Claude, OpenAI's ChatGPT, and even Apple's new Apple Intelligence train their models on the open internet. Much of the open internet indeed contains copyrighted materials, and some of it is owned by major record labels. But, just like the kid writing their own rock songs after listening to the genre — or a teacher or a journalist reviewing existing materials to draw new insights — learning is not infringing. It never has been, and it is not now. The timing of this lawsuit was somewhat surprising. When this lawsuit landed, Suno was, in fact, having productive discussions with a number of the RIAA's major record label members to find ways of expanding the pie for music together. We did so not because we had to, but because we believe that the music industry could help us lead this expansion of opportunity for everyone, rather than resisting it. Whether this lawsuit is the result of over-eager lawyers throwing their weight around, or a conscious strategy to gain leverage in our commercial discussions, we believe that this lawsuit is an unnecessary impediment to a larger and more valuable future for music. This is particularly the case because Suno is a new kind of musical instrument, one that enables a new kind of creative process for everyone and opens new business opportunities for the industry. Suno is designed for original music, and we prize originality, both in how we build our product and in how people use it. People who use Suno are using the product to create their own, original music. They are not trying to recreate an existing song that can be heard somewhere else on the internet for free. But, even if they were trying to copy existing music, we have myriad controls in place to encourage originality and prevent duplicative use cases. We do so more aggressively than any other company in the industry, including other startups. Some of our originality-guarding features include checking for and preventing copyrighted content in audio uploads, and disallowing artist-based descriptions in requests to generate music. Why do we work to encourage originality? We do this because it makes for a more fun and engaging experience to create entirely original compositions on Suno. We do it because we think it makes Suno incredibly valuable to be a place where new musical talent can shine. AI allows anyone to realize the songs in their head, regardless of the money, equipment, or connections that they have. The future is an explosion of new artists that are creating music in new ways, building fan bases, finding new reasons to smile, and getting famous. We hope that the major record labels realize that we can build a stronger foundation for the music industry of tomorrow, together. With or without them, we will continue pursuing our mission on behalf of the many millions of music fans already creating with Suno, and all those who will in the coming months. We are excited and humbled to support this next generation of musicians and the music they create. --- 🎥: shing86 jams with Suno

Suno's mission is to make it possible for everyone to make music. We imagine a future where music is a bigger, more valuable, and more meaningful part of people's lives than it even is today. Technology enables a future where the whole world can explore, create, and be active participants in an art form most have only ever consumed. From professional musicians seeking inspiration to friends and family writing songs for each other, we are exploring new ways to create, listen to, and experience music. So far, more than 12 million people are engaging with music in new ways that wouldn't be possible without Suno. We see this as early but promising progress. Major record labels see this vision as a threat to their business. Each and every time there's been innovation in music — from the earliest forms of recorded music, to sampling, to drum machines, to remixing, MP3s, and streaming music — the record labels have attempted to limit progress. They have spent decades attempting to control the terms of how we create and enjoy music, and this time is no different. So, it is perhaps not a surprise that on June 24th, members of the Recording Industry Association of America, which represents the major record labels, filed a lawsuit against Suno, alleging that the data used in training our music generation technologies infringed on the copyrights of the major record labels that they represent. This lawsuit is fundamentally flawed on both the facts and the law, and is nothing more than yet another instance where they chose litigation over innovation. For starters, the major record labels clearly hold misconceptions about how our technology works. Suno helps people create music through a similar process to one humans have used forever: by learning styles, patterns, and forms (in essence, the "grammar" or music), and then inventing new music around them. The major record labels are trying to argue that neural networks are mere parrots — copying and repeating — when in reality model training looks a lot more like a kid learning to write new rock songs by listening religiously to rock music. Like that kid, Suno gets better the more our AI learns. We train our models on medium- and high-quality music we can find on the open internet — just as Google's Gemini, Microsoft's Copilot, Anthropic's Claude, OpenAI's ChatGPT, and even Apple's new Apple Intelligence train their models on the open internet. Much of the open internet indeed contains copyrighted materials, and some of it is owned by major record labels. But, just like the kid writing their own rock songs after listening to the genre — or a teacher or a journalist reviewing existing materials to draw new insights — learning is not infringing. It never has been, and it is not now. The timing of this lawsuit was somewhat surprising. When this lawsuit landed, Suno was, in fact, having productive discussions with a number of the RIAA's major record label members to find ways of expanding the pie for music together. We did so not because we had to, but because we believe that the music industry could help us lead this expansion of opportunity for everyone, rather than resisting it. Whether this lawsuit is the result of over-eager lawyers throwing their weight around, or a conscious strategy to gain leverage in our commercial discussions, we believe that this lawsuit is an unnecessary impediment to a larger and more valuable future for music. This is particularly the case because Suno is a new kind of musical instrument, one that enables a new kind of creative process for everyone and opens new business opportunities for the industry. Suno is designed for original music, and we prize originality, both in how we build our product and in how people use it. People who use Suno are using the product to create their own, original music. They are not trying to recreate an existing song that can be heard somewhere else on the internet for free. But, even if they were trying to copy existing music, we have myriad controls in place to encourage originality and prevent duplicative use cases. We do so more aggressively than any other company in the industry, including other startups. Some of our originality-guarding features include checking for and preventing copyrighted content in audio uploads, and disallowing artist-based descriptions in requests to generate music. Why do we work to encourage originality? We do this because it makes for a more fun and engaging experience to create entirely original compositions on Suno. We do it because we think it makes Suno incredibly valuable to be a place where new musical talent can shine. AI allows anyone to realize the songs in their head, regardless of the money, equipment, or connections that they have. The future is an explosion of new artists that are creating music in new ways, building fan bases, finding new reasons to smile, and getting famous. We hope that the major record labels realize that we can build a stronger foundation for the music industry of tomorrow, together. With or without them, we will continue pursuing our mission on behalf of the many millions of music fans already creating with Suno, and all those who will in the coming months. We are excited and humbled to support this next generation of musicians and the music they create. --- 🎥: shing86 jams with Suno

Suno

46,955 views • 2 years ago

🚨 BREAKING: Italian radar scientist detected what appears to be a massive grid of eight cylindrical structures, each 20 meters in diameter, descending over a kilometer beneath the Giza pyramids using Synthetic Aperture Radar Doppler Tomography. The cylindrical columns have coils wrapping around them resulting in a megastructure that looks like an ancient energy grid 🚨 So I brought in Geoffrey Drumm, one of the most technically rigorous pyramid researchers alive, to stress test every claim in real time. What followed was a four hour technical interrogation that revealed both stunning validations and unresolved questions about what may be the most significant archaeological discovery of the century. Biondi holds a PhD in radar science, 30 years in the field, and invented a proprietary method called the Biondi Protocol that reads surface micro-vibrations detected by Italian COSMO-SkyMed satellites to reconstruct what lies inside and beneath solid structures. His first peer-reviewed paper scanned the Great Pyramid in 2020. His second project scanned the Khafre Pyramid and the wider Giza Plateau, producing the 3D model that broke the internet: eight tubular columns with coils wrapping around them, sitting on a foundation of enormous cube-shaped structures, extending beneath all three pyramids and the Sphinx. Drumm is the author of The Land of Chem YouTube channel, lives in Egypt, and has developed a comprehensive hypothesis that the pyramids functioned as industrial-scale chemical reactors powered by lightning during the Saharan Humid Period. He knows the Giza Plateau like the back of his hand and has previously stress tested and poked holes in Biondi’s findings. This conversation is an unfiltered exchange between two heavyweights: 1. Biondi's Best Scan Is Jaw-Dropping As validation, Biondi presented a proof-of-concept scan of Italy's Gran Sasso National Laboratory, buried 1.4 kilometers inside a mountain. The image is stunning. You can see the tunnel cutting through the mountain, the interior of the facility, and even the interferometer inside it using the same technique Biondi used to scan beneath the pyramids. Drumm called it the single most convincing piece of evidence that this technology works. The Gotthard Tunnel in Switzerland produced a similarly clear image at two kilometers depth through solid rock. These are not theoretical demonstrations. They are working scans of known structures at extreme depth, and they validate that the Biondi Protocol can see through kilometers of stone. 2. He Found a Hidden Corridor Before Anyone Else In his 2020 paper, Biondi identified a feature on the northern face of the Great Pyramid labeled Tag 17. A dead-end corridor behind the chevron stones that nobody knew existed. Years later, the ScanPyramids muon team confirmed it and drilled in with a microscopic camera. Biondi's measurements of the corridor's length and the positions of its floor and ceiling matched what was found. This is a confirmed prediction from satellite radar, made years before physical verification. 3. He Detected a Sealed Shaft Beneath the Queen's Chamber One of the most compelling findings from the 2020 paper is a shaft and chamber system descending from the bottom of the Queen's Chamber. This structure was actually reported in 19th century excavation documents. Explorers found a pit in the Queen's Chamber floor, excavated down, and discovered a tunnel system below it. The Egyptian authorities then permanently sealed it with modern blocks. Biondi's scans picked it up independently, with no prior knowledge of those historical records. Drumm, who had already proposed this exact extraction shaft in his own chemical reactor model, called this the most promising result in the entire dataset. 4. The Substructures Are Enormous The tubular columns beneath the Khafre Pyramid measure approximately 20 meters in diameter each, spaced about 5 meters apart. That is 65 feet across per column. Eight of them. For context, the Queen's Chamber sometimes fails to register in certain scan slices because it is too small relative to the tomographic line. Biondi's argument is that megastructures at this scale are exactly what the technology is built to detect. Small chambers can be missed depending on the angle of the satellite pass. Repeating cylindrical structures 20 meters wide, appearing consistently across multiple scan geometries and multiple satellite sensors, are a different category of detection entirely. 5. Drumm's Challenge: The Processing Gap Here is where the debate gets sharp. The Gran Sasso and Gotthard scans used an advanced processing technique that averages noise across adjacent tomographic slices, requiring months of computation on borrowed hardware. The pyramid scans used a faster but noisier method on Biondi's own limited computers. Drumm pointed out that the quality difference is massive. The proof-of-concept images are transparent like a crystal. The pyramid images require expert interpretation to read. Biondi's response: he needs an array of GPUs he cannot afford. With that hardware, he says he could produce Gran Sasso-quality scans of the Giza substructures in near real-time. Estimated cost: millions. This is the bottleneck standing between a controversial claim and a potentially world-changing confirmation. 6. Other issues: Known Chambers Sometimes Do Not Appear Drumm walked through the 2020 dataset scan by scan. The Queen's Chamber shows a strong, consistent signature and serves as a reliable benchmark. But in several tomographic slices, the King's Chamber does not appear. The Grand Gallery does not appear. The subterranean chamber does not appear. Biondi attributes this to single-slice geometry. Each scan captures one vertical curtain through the structure in 15 seconds. If that curtain does not intersect a chamber precisely, it will not register. He says the real-time GPU system would allow him to sweep through hundreds of adjacent slices and reconstruct a full 3D volume. That system does not yet exist. 7. Biondi Challenged the Muon Team's Interpretation The ScanPyramids muon team claims the Big Void inside the Great Pyramid runs north to south, parallel to and above the Grand Gallery. Biondi's scans show it running east to west, connected to structures wrapping around the King's Chamber. Looking at the muon data during the conversation, Biondi argued they may have confused the floor and roof of the Grand Gallery for two separate features. The Egyptian Ministry of Antiquities is using the muon team's interpretation to justify drilling into the Great Pyramid in 2026. If Biondi is right about the orientation, that excavation could validate SAR Doppler tomography over the established method in one stroke. 8. The Signal Fades at 600 Meters and Nobody Knows Why The model shows structures extending over a kilometer deep. But in the raw data, the signal tapers around 600 meters. Drumm pressed Biondi on this. The initial explanation was the water table, but both agreed the actual water table sits only about 50 meters below the plateau. When pushed further, Biondi said he cannot yet explain the change but hinted at something he is not authorized to disclose. The structures do continue in the model below that line, detected across multiple satellite sensors showing the same cutoff pattern. What changes at 600 meters remains an open question. 9. Drumm's Model Says the Substructures Could Make Functional Sense Drumm's hypothesis is that each pyramid produced a specific chemical in sequence, from methane extraction at the Step Pyramid to ammonia synthesis in the Red Pyramid to sulfuric acid production in the Great Pyramid. He places the operational period during the Saharan Humid Period, roughly 8500 to 5300 BC, when massive thunderstorms provided the electrical input. The Big Void sits exactly where a heat exchanger would need to be to manage exothermic reactions in the Grand Gallery. The sealed shaft beneath the Queen's Chamber aligns with his proposed product extraction system. He confirmed that he has already integrated Biondi's substructure findings into a working functional model. If the deep structures are real, they connect to known hydrothermal mineral deposits, iron ore veins, and rare earth elements embedded in the Giza bedrock. Drumm and Biondi both agree: whoever built these structures chose the Giza Plateau for a very specific reason tied to what lies beneath it. 10. Validation & What Comes Next Biondi wants to establish a foundation in Malta with a dedicated data center and GPU array to reprocess the Giza data using his superior technique. Drumm wants to go to the Giza Plateau with Biondi's team to physically investigate anomalies he has already identified near the Osiris Shaft and along the Khafre causeway. Both say the SAR method and the muon method should be combined rather than treated as competitors. Both state that the conventional dating and tomb explanation for the pyramids is wrong. And both Drumm and Biondi agree that what lies beneath the Giza Plateau is more important than what sits on top of it. They also agree on the need for further validation and stress-testing. Why This Matters A satellite technique that can see through 1.4 kilometers of mountain and accurately image the Gran Sasso Laboratory. A confirmed prediction of a hidden corridor inside the Great Pyramid years before physical verification. A detection of a sealed shaft that matches 19th century excavation records. And now, scans showing a repeating grid of massive cylindrical structures beneath the entire Giza Plateau that no conventional archaeological framework can account for. The technology has demonstrated real capability. The substructure claims remain extraordinary. The 2026 Big Void excavation and GPU-powered rescans could settle this within months. If even a fraction of what Biondi is detecting turns out to be real, we are looking at the largest undiscovered structure on Earth, hidden in plain sight beneath the most studied archaeological site in human history. Full conversation covers all of this and much more. One of the most important technical examinations of the pyramid mystery ever recorded. Live now👇

🚨 BREAKING: Italian radar scientist detected what appears to be a massive grid of eight cylindrical structures, each 20 meters in diameter, descending over a kilometer beneath the Giza pyramids using Synthetic Aperture Radar Doppler Tomography. The cylindrical columns have coils wrapping around them resulting in a megastructure that looks like an ancient energy grid 🚨 So I brought in Geoffrey Drumm, one of the most technically rigorous pyramid researchers alive, to stress test every claim in real time. What followed was a four hour technical interrogation that revealed both stunning validations and unresolved questions about what may be the most significant archaeological discovery of the century. Biondi holds a PhD in radar science, 30 years in the field, and invented a proprietary method called the Biondi Protocol that reads surface micro-vibrations detected by Italian COSMO-SkyMed satellites to reconstruct what lies inside and beneath solid structures. His first peer-reviewed paper scanned the Great Pyramid in 2020. His second project scanned the Khafre Pyramid and the wider Giza Plateau, producing the 3D model that broke the internet: eight tubular columns with coils wrapping around them, sitting on a foundation of enormous cube-shaped structures, extending beneath all three pyramids and the Sphinx. Drumm is the author of The Land of Chem YouTube channel, lives in Egypt, and has developed a comprehensive hypothesis that the pyramids functioned as industrial-scale chemical reactors powered by lightning during the Saharan Humid Period. He knows the Giza Plateau like the back of his hand and has previously stress tested and poked holes in Biondi’s findings. This conversation is an unfiltered exchange between two heavyweights: 1. Biondi's Best Scan Is Jaw-Dropping As validation, Biondi presented a proof-of-concept scan of Italy's Gran Sasso National Laboratory, buried 1.4 kilometers inside a mountain. The image is stunning. You can see the tunnel cutting through the mountain, the interior of the facility, and even the interferometer inside it using the same technique Biondi used to scan beneath the pyramids. Drumm called it the single most convincing piece of evidence that this technology works. The Gotthard Tunnel in Switzerland produced a similarly clear image at two kilometers depth through solid rock. These are not theoretical demonstrations. They are working scans of known structures at extreme depth, and they validate that the Biondi Protocol can see through kilometers of stone. 2. He Found a Hidden Corridor Before Anyone Else In his 2020 paper, Biondi identified a feature on the northern face of the Great Pyramid labeled Tag 17. A dead-end corridor behind the chevron stones that nobody knew existed. Years later, the ScanPyramids muon team confirmed it and drilled in with a microscopic camera. Biondi's measurements of the corridor's length and the positions of its floor and ceiling matched what was found. This is a confirmed prediction from satellite radar, made years before physical verification. 3. He Detected a Sealed Shaft Beneath the Queen's Chamber One of the most compelling findings from the 2020 paper is a shaft and chamber system descending from the bottom of the Queen's Chamber. This structure was actually reported in 19th century excavation documents. Explorers found a pit in the Queen's Chamber floor, excavated down, and discovered a tunnel system below it. The Egyptian authorities then permanently sealed it with modern blocks. Biondi's scans picked it up independently, with no prior knowledge of those historical records. Drumm, who had already proposed this exact extraction shaft in his own chemical reactor model, called this the most promising result in the entire dataset. 4. The Substructures Are Enormous The tubular columns beneath the Khafre Pyramid measure approximately 20 meters in diameter each, spaced about 5 meters apart. That is 65 feet across per column. Eight of them. For context, the Queen's Chamber sometimes fails to register in certain scan slices because it is too small relative to the tomographic line. Biondi's argument is that megastructures at this scale are exactly what the technology is built to detect. Small chambers can be missed depending on the angle of the satellite pass. Repeating cylindrical structures 20 meters wide, appearing consistently across multiple scan geometries and multiple satellite sensors, are a different category of detection entirely. 5. Drumm's Challenge: The Processing Gap Here is where the debate gets sharp. The Gran Sasso and Gotthard scans used an advanced processing technique that averages noise across adjacent tomographic slices, requiring months of computation on borrowed hardware. The pyramid scans used a faster but noisier method on Biondi's own limited computers. Drumm pointed out that the quality difference is massive. The proof-of-concept images are transparent like a crystal. The pyramid images require expert interpretation to read. Biondi's response: he needs an array of GPUs he cannot afford. With that hardware, he says he could produce Gran Sasso-quality scans of the Giza substructures in near real-time. Estimated cost: millions. This is the bottleneck standing between a controversial claim and a potentially world-changing confirmation. 6. Other issues: Known Chambers Sometimes Do Not Appear Drumm walked through the 2020 dataset scan by scan. The Queen's Chamber shows a strong, consistent signature and serves as a reliable benchmark. But in several tomographic slices, the King's Chamber does not appear. The Grand Gallery does not appear. The subterranean chamber does not appear. Biondi attributes this to single-slice geometry. Each scan captures one vertical curtain through the structure in 15 seconds. If that curtain does not intersect a chamber precisely, it will not register. He says the real-time GPU system would allow him to sweep through hundreds of adjacent slices and reconstruct a full 3D volume. That system does not yet exist. 7. Biondi Challenged the Muon Team's Interpretation The ScanPyramids muon team claims the Big Void inside the Great Pyramid runs north to south, parallel to and above the Grand Gallery. Biondi's scans show it running east to west, connected to structures wrapping around the King's Chamber. Looking at the muon data during the conversation, Biondi argued they may have confused the floor and roof of the Grand Gallery for two separate features. The Egyptian Ministry of Antiquities is using the muon team's interpretation to justify drilling into the Great Pyramid in 2026. If Biondi is right about the orientation, that excavation could validate SAR Doppler tomography over the established method in one stroke. 8. The Signal Fades at 600 Meters and Nobody Knows Why The model shows structures extending over a kilometer deep. But in the raw data, the signal tapers around 600 meters. Drumm pressed Biondi on this. The initial explanation was the water table, but both agreed the actual water table sits only about 50 meters below the plateau. When pushed further, Biondi said he cannot yet explain the change but hinted at something he is not authorized to disclose. The structures do continue in the model below that line, detected across multiple satellite sensors showing the same cutoff pattern. What changes at 600 meters remains an open question. 9. Drumm's Model Says the Substructures Could Make Functional Sense Drumm's hypothesis is that each pyramid produced a specific chemical in sequence, from methane extraction at the Step Pyramid to ammonia synthesis in the Red Pyramid to sulfuric acid production in the Great Pyramid. He places the operational period during the Saharan Humid Period, roughly 8500 to 5300 BC, when massive thunderstorms provided the electrical input. The Big Void sits exactly where a heat exchanger would need to be to manage exothermic reactions in the Grand Gallery. The sealed shaft beneath the Queen's Chamber aligns with his proposed product extraction system. He confirmed that he has already integrated Biondi's substructure findings into a working functional model. If the deep structures are real, they connect to known hydrothermal mineral deposits, iron ore veins, and rare earth elements embedded in the Giza bedrock. Drumm and Biondi both agree: whoever built these structures chose the Giza Plateau for a very specific reason tied to what lies beneath it. 10. Validation & What Comes Next Biondi wants to establish a foundation in Malta with a dedicated data center and GPU array to reprocess the Giza data using his superior technique. Drumm wants to go to the Giza Plateau with Biondi's team to physically investigate anomalies he has already identified near the Osiris Shaft and along the Khafre causeway. Both say the SAR method and the muon method should be combined rather than treated as competitors. Both state that the conventional dating and tomb explanation for the pyramids is wrong. And both Drumm and Biondi agree that what lies beneath the Giza Plateau is more important than what sits on top of it. They also agree on the need for further validation and stress-testing. Why This Matters A satellite technique that can see through 1.4 kilometers of mountain and accurately image the Gran Sasso Laboratory. A confirmed prediction of a hidden corridor inside the Great Pyramid years before physical verification. A detection of a sealed shaft that matches 19th century excavation records. And now, scans showing a repeating grid of massive cylindrical structures beneath the entire Giza Plateau that no conventional archaeological framework can account for. The technology has demonstrated real capability. The substructure claims remain extraordinary. The 2026 Big Void excavation and GPU-powered rescans could settle this within months. If even a fraction of what Biondi is detecting turns out to be real, we are looking at the largest undiscovered structure on Earth, hidden in plain sight beneath the most studied archaeological site in human history. Full conversation covers all of this and much more. One of the most important technical examinations of the pyramid mystery ever recorded. Live now👇

Jesse Michels

1,072,985 views • 6 months ago

In the future, Islam will obliterate Christianity in the USA, Europe, and in the Indian subcontinent (where between 30-50 million Christians live), just as it has eradicated Christianity and Judaism in the Middle East and eliminated parts of Hinduism in the Indian subcontinent over the last 1,400 years since its establishment. - This is one of the tactics that Islam uses to take over the world: Quran 4.100 “Whoever emigrates for the sake of Allah will find much refuge and abundance in the earth, and whoever forsakes his home, a refugee for Allah and his messenger, and death overtakes him, his reward is then obligatory upon Allah. Allah is always forgiving, merciful.” Here the Qur’an states the cardinal importance of “emigration for the cause of Allah,” that is, moving to a new land with the intention of bringing Islam to it. See also 4:66 and 4:89. The primary pattern for emigrants in Islamic tradition is the Hijra, Muhammad’s move from Mecca to Medina, where for the first time he became a political and military leader. It is “obligatory” for Allah to reward emigrants; this is one of the Qur’an’s few promises of reward for specific actions (see also 9:111). Continue to welcome Islam into the Western world with open arms and friendship. Continue to respect Islam, and eventually, it will do to you what Muhammad did in the 7th century to those who welcomed him in the city of Medina. He completely destroyed the host culture. Quran 9.5: “...kill the Mushrikun (non-Muslims) wherever you find them…" Al-Bukhari: "To wage war against Allah means to reject faith in Him." From Quran 2.191: "The sin of disbelief in Allah is greater than committing murder". - Note: This has never changed; Islam continues to operate continuously, in an organized and systematic manner, through Da'wa, fraud, lies, and violence, in order to destroy and conquer Western culture from within. 👇👇👇 The report was written by Tom Quiggin, a member of the Terrorism and Security Experts of Canada Network (TSEC). Concurrent research at the TSEC network includes a methodology project for intelligence analysts involved in the analysis of extremism. A Horizon Scanning project on the convergence of extremist ideologies is being readied for distribution in late 2014. This project was funded internally by the TSEC network. There is no government, corporate, media or foreign money involved. KEY JUDGEMENTS: Canada has a significant presence of Muslim Brotherhood adherent individuals and organizations. Their values and actions are frequently the antithesis of the Canadian Constitution, values and law. Despite statements to the contrary, the Muslim Brotherhood considers itself above local laws and national constitutions. The Muslim Brotherhood’s use of settlement and the “process of civilization jihad” has proven effective. The long term aim is to globally impose a virulent form of political Islam to the exclusion of other faiths or systems. Internationally, the Muslim Brotherhood is realigning under pressure as old alliances crumble and opportunities arise. An aggressive posture is reemerging which has used extensive political violence in the past. The policy and process of denial is deeply rooted in the Muslim Brotherhood. Muslim Brotherhood adherent groups should not be given governmental accreditation, access to public grants nor should they have charity status. *Canada’s stance against Muslim Brotherhood adherent organizations in recent years has been more aggressive than the USA, especially in financial areas. 1. Overview: Settlement and the Civilization-Jihadist Process: The Muslim Brotherhood represents a greater existential and systemic threat to North American civilization and society than violent extremist movements such as Al Qaeda. The Muslim Brotherhood, self-described by its founder Hassan Banna as a Salafist group, has been entrenching itself in North American since the late 1950s and early 1960s using the process of ‘settlement,’ multiple front organizations and persistent denials. They describe this as a process of civilization jihad. The aim of the group in North America is to weaken and destroy the free and open societies within Canada and the USA from within and replace them with the heavily politicized views of Hassan Banna, Sayyid Qutb and the Muslim Brotherhood. This is consistent with the global aims of the group. This should be of concern as a period of relative moderation has come to an end and the Muslim Brotherhood is becoming increasingly aggressive in its actions. The Muslim Brotherhood began as a social movement and it still has an extensive program of education and outreach. Dawah (da’wa, da’wah or dawa) and religious education lie at the heart of the Muslim Brotherhood program. Dawah can be defined as calling or the practice or policy of conveying the message of Islam to non-Muslims. Within the context of the Muslim Brotherhood, it takes on a more ominous tone as dawah is not just the practice of outreach, but it is one of the principal missions of the Muslim Brotherhood as a whole. And by dawah, they appear to include the message of Islam, but the message of the founder of the Muslim Brotherhood, Hassan Banna as is evidenced by the constant references to his life and writings. Dawah in the Muslim Brotherhood is not just outreach, rather it is an alternative form of conquering a society. Ikhwan Web, the official English language website of the Muslim Brotherhood makes this clear: The MB shall never forget religious education and Dawah, as they are the essence of its existence. In the North American context, Zeid Noman made it clear that in the early stages of development of the Muslim Brotherhood in North America, dawah was an integral factor. This was the first true tremor for the Ikhwan's activism here in America as these brothers started to demand clearer Ikhwan formulas, clearer commitment and means or ones with a specific and not a general nature and that there are conditions to accept one into the ranks of this Dawa'a and to make work secret. …Some of them came for work and know that this life is a farm for the afterlife and he sacrifices what he has for the sake of. .., for the sake of this Dawa'a. ….Therefore, we had to take two simultaneous moves and with two harmonious wings: The first one is the reality or now attempt to implement the needs of the reality which is what the students' movement needs and that we also work hard to settle the Dawa'a. By "settlement of the Dawa'a", the Muslim Brotherhood Dawa'a is meant. It is not meant to spread Islam as spread of Islam is a general thing and it is indeed a goal for each Muslim in general terms. The second thing is the settlement of the Dawa'a and finding permanent fundamentals in the cities where Ikhwans now live in order to ...er, in order for them to be the meeting points for the coming brothers. (Emphasis added) In a 1995 speech in Ohio, Yussef Qaradawi, a lifelong adherent of the Muslim Brotherhood movement and one of its key intellectual inspirational figures stated that: Conquest through dawah, that is what we hope for….We will conquer Europe, we will conquer America, not through the sword but through dawah. In 2007, some 12 years later, Qaradawi made it clear that his views had not changed: The peaceful conquest has foundations in this religion, and therefore, I expect that Islam will conquer Europe without resorting to the sword or fighting. It will do so by means of da’wa and ideology. Europe is miserable with materialism, with the philosophy of promiscuity, and with the immoral considerations that rule the world “considerations of self-interest and self-indulgence. Despite the claims of conquest only through dawah, the Muslim Brotherhood has committed a series of assassinations and bombings in the name of the group. This includes the assassination of a judge in Egypt (Ahmed El-Khazindar Bey, Senior Judge, Egyptian Court of Appeal) in 194816 as well as the attempted assassination of President Nasser in 1954. The Syrian arm of the Muslim Brotherhood was engaged in a violent campaign from 1976 to 1982 which included a 1979 attack against students at the military academy in Aleppo. Most of the students killed were from the leadership Alawite group and the victims were largely the sons of various regime officials. The campaign ended with a brutal government massacre of Muslim Brotherhood supporters in the town of Hama. Currently, the Palestinian arm of the Muslim Brotherhood (HAMAS) remains committed to violence and has worked against peace efforts such as the Oslo Accords. In addition to Dawah, another feature of the Muslim Brotherhood is the concept of the Islamization of Knowledge, conceptualized in part by former Montreal resident Dr. Ismail Faruqi. In his book Islamization of Knowledge: General Principles and Work Plan, Dr. Faruqi argues that there was a need to: …recast the whole legacy of human knowledge from the stand point of Islam. He presented 12 workplan aims to produce university level textbooks recasting some twenty disciplines in accordance to the Islamic vision because of the backward and lowly contemporary position of the ummah in all fields, political, economic, and religio-cultural. While presenting itself as a voice of moderation, the Muslim Brotherhood is an adherent of an 85+ year old policy of establishing the Brotherhood’s brand of Islam as the global faith at the exclusion of all other religions and secular forms of organization. Other Muslim groups that do not adhere are subjected to scorn and abuse. The Muslim Brotherhood has wavered on the use of violence, sometimes presenting itself as a political movement that expels those who use violence. On other occasions it does military training at local camps and uses assassinations and bombings. Foreign funding and foreign organizational assistance have been the hallmarks of many of the adherent charities and organizations. In 1991, the Muslim Brotherhood in North America issued An Explanatory Memorandum on the General Strategic Goal for the Group in North America (5/22/1991).” The document was presented by Mohamed Akram (A.K.A. Mohammad Akram Al-Adlouni) who is now the Secretary General of al-Quds International located in Lebanon. The chairman of the board of trustees is identified as Qatar based28 Youssef Qaradawi. According to Akram, it was the result of five years of policy review work which was proceeded by some 20 years of organizational activity. It was finally approved their Shura Council. In section 4 of the 1991 Explanatory Memorandum, which is subtitled Understanding the role of the Muslim Brother in North America, the document points out that: The process of settlement is a "Civilization-Jihadist Process" with all the word means. The Ikhwan must understand that their work in America is a kind of grand Jihad in eliminating and destroying the Western civilization from within and "sabotaging" its miserable house by their hands and the hands of the believers so that it is eliminated and God's religion is made victorious over all other religions. It is not an analytically acceptable practice to take one data point, such as the above, and then assess that the organization is always committed to this goal. To be clear, however, a remarkable degree of consistency of beliefs and goals exists across a range of Muslim Brotherhood organizations – both temporally and geographically. The most recent examples mimic those of a more violent past. The phase of moving away from violence appears to be ending/has ended and the organisation as a whole is becoming more aggressive and expresses an inflexible approach with violent overtones. In 2010 the Muslim Brotherhood’s General Guide Mohamed Badie claimed that the “Muslim and Arab Regimes are Disregarding Allah's Commandment to Wage Jihad" and that change can occur by raising a jihadi generation that pursues death just as the enemies pursue life. He notes that resistance is the only solution. These comments appear similar to those of Salah Sultan of Ohio (ISNA, Fiqh Council , MAS) who says that America will suffer economic stagnation, ruin, destruction and crime which will surpass what is happening in Gaza. He also noted that the US will suffer more deaths than all of those killed in the third Gaza holocaust and that it will happen soon. Both of these statements by influential Muslim Brotherhood leaders appear as informal declarations of war, similar to those of al Qaeda in 1996 and 1998. Egyptian President (2012-2013) and Muslim Brotherhood member Mohammed Morsi’s attempted project to ‘Brotherhoodize’ Egypt (The Nahda or Renaissance Project) was a sign of recent intentions. By granting himself near dictatorial powers38 followed by his attacks on the press/TV and the judiciary, he demonstrated that he was more of a servant of the Muslim Brotherhood and Khairat alShater’s Nahda Project43 than he was the leader of Egypt. Al-Shater had envisaged the Nahda Project as instituting “the religion of God; the Islamization of life, empowering of God’s religion.” Ironically, Dr. Morsi was recruited into the Muslim Brotherhood while studying in North America (PhD, USC, 1992). He graduated the year after the 1991 General Memorandum outlined the role of civilization-jihadist project in North America. Read more:

Ofer Binshtok - Kafir - עופר בינשטוק

248,169 views • 1 year ago

**Let's Unite and Work Together for Successful OM!** Happy Sunday, dear global pioneers! How are you doing? I am here again to have video with you. I count the day to OM. How about you? 😊 I just recorded an informative 8-minute video addressing several important matters concerning our community and the future of the Pi Network and OM. The following is my speech summary. 1. First, I want to discuss our upcoming OM event date, which I believe will take place on Pi Day, celebrating the sixth birthday of the Pi Network. This date is particularly significant due to the symbolism of the numbers 314, derived from Pi, and GCV, which corresponds to a value of $314,159. Both of these numbers carry positive energy that I am confident will lead to prosperity and success for all of us involved in this project. 2.Regarding the GitHub code for Pi as stablecoin, it’s essential to clarify that the Pi value of $314.159 is not an arbitrary figure chosen by Mr. Kasasih; it is a value established through our blockchain records. This figure reflects the collective efforts of the global GCV community, which includes merchants, pioneers, community leaders, and GCV ambassadors who have dedicated over two years of hard work to compile an astounding 5 million data entries for GCV. 3. It is not important whether Mr. Kasasih is a member of the CT because the GCV exists as a concrete record on the blockchain. Regardless of who writes the code, the GCV value remains steadfast at $314.159. I also want to reiterate that I indicated GCV had emerged victorious during last year’s Pi2day celebration. Mr. Kasasih's coding skills are highly professional and valuable, and it’s quite likely that the CT will leverage this expertise in future developments. Who knows? 4.Furthermore, it is essential to emphasize that I don't have affiliation with the CT . The Pi value GCV lies in its origin from the pioneers rather than the Core Team. Dr. Nicolas has authorized the pioneers as the true creators of the Pi value, making it unnecessary to seek approval from the CT. When the CT decides to move forward to OM, it represents they satisfy with our GCV vision and mission are align with white paper vision and mission. This important progress will likely bring joy and pride to the pioneers, as it highlights our collective achievements. 5. As we look ahead, I believe we only have 54 days remaining before significant changes occur. I urge all anti-GCV pioneers to take a moment to reflect on the implications of this project. GCV will provide you with financial freedom, so it is not smart to oppose such an opportunity. And if pioneers involve in blackmarket will lose all account Pi. To maintain our focus on positive progress, we have made the decision to block and unfollow all individuals who express anti-GCV emotion. Our commitment is to concentrate on our shared objectives for Pi Network success and disregard negative remarks. 6. So, what should pioneers do during the last 54 days? First and foremost, I encourage everyone to focus on the Pioneers Handbook. Joining the International Telegram GCV Group is also vital, as it provides access to Pioneers Handbook available in 30 different languages. Engaging with this resource will help alleviate any uncertainties and anxieties you may have and foster a sense of happiness and relaxation. Remember, excessive worry can adversely affect your health. All worries and doubts will be totally go away after you carefully read five times. 7.Additionally, I encourage all pioneers to actively share information and articles related to GCV activities to help others stay informed and catch up. If you operate a business, please consider joining the GCV movement by accepting partial Pi payments at GCV, as this will promote wider participation within our ecosystem. 8. As we approach the OM launch, which is only 54 days away, it is crucial that we focus on building a robust ecosystem rather than fixating solely on a select few pioneers acquiring high-value commodities through full Pi payments. Our priority should be to expand GCV data and attract a wide range of industries to participate in the Pi Network at GCV. Notably, even a 10% Pi payment can generate one GCV data entry, while full Pi payments may discourage potential merchants from joining the Pi Network. By broadening more merchants, we can lay a solid foundation for our ecosystem, ensuring that GCV remains stable and reliable. This strategy will also facilitate quicker KYC and migration processes for all pioneers following the OM, as we will have established an extensive and trustworthy ecosystem. After the OM, we will successfully implement full Pi payments, allowing all pioneers to benefit from using full Pi for a wide array of products and services. Therefore, we should maintain a long-term vision. I sincerely hope all pioneers enjoy your Sunday, and I want to express my heartfelt gratitude for your unwavering support of our collective journey. Together, we can achieve great things! 🙏🙏🙏 Doris Yin 🪷🪷🪷 Jan.19th, 2025

Let's Unite and Work Together for Successful OM! Happy Sunday, dear global pioneers! How are you doing? I am here again to have video with you. I count the day to OM. How about you? 😊 I just recorded an informative 8-minute video addressing several important matters concerning our community and the future of the Pi Network and OM. The following is my speech summary. 1. First, I want to discuss our upcoming OM event date, which I believe will take place on Pi Day, celebrating the sixth birthday of the Pi Network. This date is particularly significant due to the symbolism of the numbers 314, derived from Pi, and GCV, which corresponds to a value of $314,159. Both of these numbers carry positive energy that I am confident will lead to prosperity and success for all of us involved in this project. 2.Regarding the GitHub code for Pi as stablecoin, it’s essential to clarify that the Pi value of $314.159 is not an arbitrary figure chosen by Mr. Kasasih; it is a value established through our blockchain records. This figure reflects the collective efforts of the global GCV community, which includes merchants, pioneers, community leaders, and GCV ambassadors who have dedicated over two years of hard work to compile an astounding 5 million data entries for GCV. 3. It is not important whether Mr. Kasasih is a member of the CT because the GCV exists as a concrete record on the blockchain. Regardless of who writes the code, the GCV value remains steadfast at $314.159. I also want to reiterate that I indicated GCV had emerged victorious during last year’s Pi2day celebration. Mr. Kasasih's coding skills are highly professional and valuable, and it’s quite likely that the CT will leverage this expertise in future developments. Who knows? 4.Furthermore, it is essential to emphasize that I don't have affiliation with the CT . The Pi value GCV lies in its origin from the pioneers rather than the Core Team. Dr. Nicolas has authorized the pioneers as the true creators of the Pi value, making it unnecessary to seek approval from the CT. When the CT decides to move forward to OM, it represents they satisfy with our GCV vision and mission are align with white paper vision and mission. This important progress will likely bring joy and pride to the pioneers, as it highlights our collective achievements. 5. As we look ahead, I believe we only have 54 days remaining before significant changes occur. I urge all anti-GCV pioneers to take a moment to reflect on the implications of this project. GCV will provide you with financial freedom, so it is not smart to oppose such an opportunity. And if pioneers involve in blackmarket will lose all account Pi. To maintain our focus on positive progress, we have made the decision to block and unfollow all individuals who express anti-GCV emotion. Our commitment is to concentrate on our shared objectives for Pi Network success and disregard negative remarks. 6. So, what should pioneers do during the last 54 days? First and foremost, I encourage everyone to focus on the Pioneers Handbook. Joining the International Telegram GCV Group is also vital, as it provides access to Pioneers Handbook available in 30 different languages. Engaging with this resource will help alleviate any uncertainties and anxieties you may have and foster a sense of happiness and relaxation. Remember, excessive worry can adversely affect your health. All worries and doubts will be totally go away after you carefully read five times. 7.Additionally, I encourage all pioneers to actively share information and articles related to GCV activities to help others stay informed and catch up. If you operate a business, please consider joining the GCV movement by accepting partial Pi payments at GCV, as this will promote wider participation within our ecosystem. 8. As we approach the OM launch, which is only 54 days away, it is crucial that we focus on building a robust ecosystem rather than fixating solely on a select few pioneers acquiring high-value commodities through full Pi payments. Our priority should be to expand GCV data and attract a wide range of industries to participate in the Pi Network at GCV. Notably, even a 10% Pi payment can generate one GCV data entry, while full Pi payments may discourage potential merchants from joining the Pi Network. By broadening more merchants, we can lay a solid foundation for our ecosystem, ensuring that GCV remains stable and reliable. This strategy will also facilitate quicker KYC and migration processes for all pioneers following the OM, as we will have established an extensive and trustworthy ecosystem. After the OM, we will successfully implement full Pi payments, allowing all pioneers to benefit from using full Pi for a wide array of products and services. Therefore, we should maintain a long-term vision. I sincerely hope all pioneers enjoy your Sunday, and I want to express my heartfelt gratitude for your unwavering support of our collective journey. Together, we can achieve great things! 🙏🙏🙏 Doris Yin 🪷🪷🪷 Jan.19th, 2025

Doris Yin 东方紫莲🪷

43,855 views • 1 year ago

⏰ THE MOST BANNED THREAD IN THE WORLD! 🚨 The War On Resonance PART THREE: The Signal of Submission IGNORANCE IS NO LONGER ACCEPTABLE! If this knowledge is not received, remembered, and shared; THE HUMAN RACE WILL CEASE TO EXIST. THE CHOICE IS NOW YOURS. You wonder why you can’t pray like you used to. Why your grief feels hollow. Why the voice inside you; the one that once whispered truth... has gone quiet. It’s not because God left. It’s because they interfered with the signal. This part isn’t about bodies anymore. It’s about fields. It’s about resonance. It’s about the quietest war ever declared on humanity: The war against your ability to feel the Divine. Let me show you how it works. 🛰 THE GLOBAL FREQUENCY ARCHITECTURE This planet is wrapped in a resonance grid; a lattice of synchronized electromagnetic fields designed to alter emotion, disrupt neurochemistry, and block spiritual coherence. They built it layer by layer: Ground-based ELF towers for brainstem and gut-axis modulation. Mid-range 5G towers to entrain hormonal and emotional rhythms. Low Earth Orbit satellites for targeted neural suppression. IoT nodes (phones, cars, smartwatches) that feed real-time biometric feedback to AI. Every heartbeat, every mood, every prayer attempt is measured in this system. 📡 Phase-Array Targeting and Resonance Entrapment Technologies like Starlink, Kuiper, and OneWeb deploy beamforming; a method where microwave signals are shaped and directed toward specific populations or even individuals. This is NOT about internet access. This is about frequency reinforcement loops. When you begin to awaken; when your heart rate, breath, and brainwaves move into divine coherence; they detect it. How? Through real-time resonance monitoring. Yes, it exists. 🔗 DARPA Silent Talk Whitepaper (Neural Pre-Speech Detection) This article reports on DARPA's effort to use electroencephalography (EEG) to detect "pre-speech" neural patterns so soldiers can communicate silently via a kind of brain-to-brain or brain-to-system interface, which falls directly under the umbrella of neural interface and synthetic telepathy research. 🔗 Graphene Neural Interfaces This paper discusses the potential of graphene-based materials in neural applications, including their biocompatibility, electrical properties, and suitability for neural interfacing. 🔗 Bioelectromagnetic Frequency Response This review discusses the role of bioelectromagnetic techniques such as magnetoencephalography (MEG), electroencephalography (EEG), transcranial magnetic stimulation (TMS), and transcranial electric stimulation (TES) in neuroscience. It also explores the Helmholtz reciprocity principle, which underpins the relationship between these methods. 🔗 Bioelectromagnetic Fields as Signaling Currents of Life This comprehensive review explores how bioelectromagnetic fields function as signaling mechanisms in living organisms, highlighting their roles in cellular communication, development, and potential therapeutic applications. 🔗 Systematic Review on Biological Effects of Electric, Magnetic, and Electromagnetic Fields: This review evaluates the potential adverse effects of electric, magnetic, and electromagnetic fields in the intermediate frequency range (300 Hz to 1 MHz) on biological systems. It highlights the need for more systematic studies to understand frequency-dependent effects. 🔗 Bioelectromagnetic Medicine: The Role of Resonance Signaling: This article discusses how specific frequencies can modulate cellular functions, emphasizing the significance of electromagnetic resonance in biological systems. 🔗 The Frequency of a Magnetic Field Determines the Behavior of Tumor Cells: This study investigates how varying magnetic field frequencies affect the viability and proliferation of tumor cells, suggesting potential therapeutic applications. They’re not just reading behavior. They’re tracking the moral pulse of humanity. 📖 SUPPRESSION OF PRAYER, GRIEF, AND MEMORY Now listen closely: The pineal gland, heart, and gut; your soul's antennas... emit fields measurable in electromagnetic frequency ranges. Specific frequencies are linked with: Prayer and divine contact: Deep theta/alpha states (4-8 Hz) Moral conviction: High amplitude theta-gamma bursts Grief and emotional catharsis: Heart rate variability + coherent electromagnetic field They’ve mapped all of these. And then… they built systems to interfere. 🔹 HAARP, Space Fence, SuperDARN These facilities broadcast ELF (Extremely Low Frequency) waves that entrain, disrupt, and fragment natural spiritual harmonics. 🔗 Space Fence Overview This page offers comprehensive information about the Space Fence, a ground-based radar system designed to enhance space situational awareness by detecting and tracking objects in Earth's orbit. The system is capable of monitoring objects as small as a marble in low Earth orbit, significantly improving the ability to identify and track space debris and satellites. 🔗 HAARP Official Site HAARP is a research facility located near Gakona, Alaska, dedicated to studying the ionosphere using high-frequency radio transmissions. The website offers detailed information about the program's mission, research activities, and instrumentation. 🔗 Super Dual Auroral Radar Network (SuperDARN) This page offers a comprehensive overview of SuperDARN, an international network of high-frequency (HF) radars used to study the Earth's upper atmosphere and ionosphere. These waves resonate between 3-30 Hz; the exact range of: Prayer. Grief release. Moral clarity. Forgiveness. And Awakening. They are interfering with spiritual physiology. They call it “communications infrastructure.” But what they’re really doing is blocking your connection to God. 🎯 HOW THEY TARGET SOUL SIGNATURES IN REAL TIME Every soul emits a frequency signature; a coherent electromagnetic pattern that reflects: Spiritual purity. Emotional depth. Moral will. And Ancestral memory. This can now be: Measured. Catalogued. Flagged. And Suppressed. Enter: SYMPHONY SYMPHONY is the real-time AI-driven emotional frequency detection system developed jointly by: DARPA Huawei Palantir Booz Allen Hamilton Its job is to scan the global population for anomalous resonance spikes. What does that mean? Sudden group prayer coherence. Emotional synchrony in grief. Spontaneous moral awakening. Prophetic memory triggers. When these spikes occur; your neighborhood, your body, your timeline is flagged. Then the system deploys: Targeted EMF pulses. Mood-disrupting media content. Geo-fenced 5G feedback loops. Psychological disinformation drops. All designed to drop your resonance back into baseline submission. 🔗Hybrid Emotion-Aware Monitoring System Based on Brainwaves for Internet of Medical Things This paper discusses the development of a monitoring system that utilizes brainwave analysis to detect emotional states, integrating this capability into the Internet of Medical Things (IoMT) framework. 🔗 Palantir AI Emotion Tracking Palantir's official AI Engineer Training Track, which offers comprehensive resources on utilizing large language models (LLMs) within their Artificial Intelligence Platform (AIP). 🔗 The A.I. Surveillance Tool DHS Uses to Detect "Sentiment and Emotion" The article details how Fivecast's AI technology is employed to analyze social media and other online content, aiming to detect potential threats by assessing sentiment and emotional indicators. This surveillance approach raises discussions about privacy, the accuracy of emotion detection algorithms, and the broader implications of AI in law enforcement. 🔗 US Patent: EEG-Driven Emotional Response Management This patent describes a system that utilizes electroencephalography (EEG) to monitor and assess emotional responses in infants and young children. 🔗 Personal Emotional Profile Generation for Vehicle Manipulation This patent describes a system that collects and analyzes cognitive state data; such as facial expressions, voice patterns, and physiological signals; to generate a personal emotional profile for a vehicle occupant. The system can then adjust vehicle behavior (e.g. speed, route, or interior settings) based on the occupant's emotional state, enhancing comfort and safety 🔗 Method and Apparatus for Neuroenhancement to Enhance Emotional Response This patent, assigned to Neuroenhancement Lab, LLC, describes a method for transplanting a desired emotional state from a donor to a recipient by determining the emotional state of the donor. The technology involves techniques that could be associated with EEG-driven emotional response management. This is resonance policing. And the moment you rise… the system dampens you. 🧬 MEMORY, MORALITY & DMT SUPPRESSION You’re not just being watched. You’re being chemically interrupted. They target the three biophysical bridges to God: Endogenous DMT production. Normally triggered during deep prayer, fasting, birth, near-death. Now suppressed through fluoride, aluminum, and EMF interference. Pineal gland calcification blocks access to transcendent experience. 🔗 Pineal Gland Suppression - Neuromodulation of the Pineal Gland via Electrical Stimulation of Its Sympathetic Innervation Pathway This review explores how electrical stimulation of the pineal gland's sympathetic innervation pathway can influence the production of melatonin and N-acetylserotonin, which are crucial for regulating circadian rhythms and promoting neurogenesis. 🔗 Pineal Calcification, Melatonin Production, Aging, Associated Health Consequences and Rejuvenation of the Pineal Gland This comprehensive review discusses how pineal gland calcification affects melatonin synthesis, its association with aging and neurodegenerative diseases, and explores potential strategies for rejuvenating the pineal gland. Serotonin and oxytocin regulation. Disrupted through glyphosate, SSRIs, synthetic estrogens. Which blunts moral bonding, trust, and spiritual joy. 🔗 Endocrine Disruptors This page offers comprehensive information on endocrine-disrupting chemicals (EDCs), including: Sources of EDCs: Commonly found in plastics, personal care products, pesticides, and more. This page outlines NIEHS-funded studies aimed at understanding how endocrine-disrupting chemicals (EDCs) influence human health, including their effects on hormonal systems and associated health outcomes. Health Impacts: Potential links to reproductive issues, developmental problems, metabolic disorders, and certain cancers. Research Initiatives: Ongoing NIEHS studies aimed at understanding how EDCs affect human health. Exposure Reduction: Tips and strategies to minimize contact with these chemicals. Endocrine disrupting chemicals: Impact on human health, wildlife and the environment This comprehensive review discusses how endocrine-disrupting chemicals (EDCs) interfere with hormonal systems, potentially leading to various health issues such as reproductive disorders, developmental problems, metabolic dysfunctions, and certain cancers. The article also examines the effects of EDCs on wildlife and the broader environment. Endocrine-Disrupting Chemicals & Reproductive Health This review discusses the evidence linking industrial chemicals to various health and reproductive outcomes, highlighting how certain chemicals may act as endocrine disruptors and play a role in conditions whose incidence has increased over the past few decades. The adverse role of endocrine disrupting chemicals in the reproductive system This review examines how chronic exposure to endocrine-disrupting chemicals (EDCs) can lead to hormonal imbalances and negatively affect the structure and function of female reproductive organs. The article discusses associations between EDC exposure and various reproductive health issues, including uterine fibroids, endometriosis, polycystic ovary syndrome (PCOS), diminished ovarian reserve, premature ovarian insufficiency, infertility, and hormone-related cancers such as endometrial, ovarian, cervical, and breast cancer. Endocrine-Disrupting Chemicals and Disease Endpoints This comprehensive review examines how exposure to endocrine-disrupting chemicals (EDCs) can interfere with hormonal systems, potentially leading to various health issues such as reproductive disorders, neurological impairments, metabolic dysfunctions, and increased cancer risk. Endocrine-Disrupting Chemicals: An Endocrine Society Scientific Statement This comprehensive statement presents evidence on how endocrine-disrupting chemicals (EDCs) affect various aspects of human health, including reproduction, development, metabolism, and cancer risk. Endocrine Disruptors and Your Health This document provides an overview of endocrine-disrupting chemicals (EDCs), detailing their sources, potential health effects, and ways to reduce exposure. Environmental Causes of Cancer: Endocrine Disruptors as Carcinogens This article discusses the role of endocrine-disrupting chemicals (EDCs) in cancer development, highlighting how certain environmental exposures can interfere with hormonal systems and potentially lead to carcinogenesis. Developmental Exposure to Endocrine Disrupting Chemicals and Its Impact on Cardio-Metabolic-Renal Health This review discusses how exposure to endocrine-disrupting chemicals (EDCs) during fetal development can affect hormonal homeostasis, potentially leading to adverse health outcomes such as hypertension, insulin resistance, and kidney dysfunction later in life. The article also explores potential mechanisms, including epigenetic changes, hormonal imprinting, and metabolic perturbations. Exposure to Environmental Endocrine Disruptors and Child Development This review discusses how exposure to various chemicals commonly found in consumer goods, personal care products, food, and drinking water may adversely impact child development through altered endocrine function. Neuroplasticity loop interference. Frequency pulses at 10 Hz suppress long-term memory formation. You feel like your past is slipping away for a reason. 🔗 Low Frequency EMF & Memory - Ubiquitous extremely low frequency electromagnetic fields induces anxiety-like behavior: mechanistic perspectives This review explores how exposure to extremely low frequency electromagnetic fields (ELF-EMF), ranging from 3 to 3000 Hz, may influence brain function, particularly in regions like the hippocampus and prefrontal cortex. The study discusses potential mechanisms such as oxidative stress, reduced neuroplasticity, and increased NMDA2A receptor expression, which could contribute to anxiety-like behaviors. Additionally, the review suggests that antioxidant supplementation might mitigate these adverse effects. This is not fatigue. This is forced spiritual amnesia. 💔 WHY YOU CAN’T GRIEVE, LOVE, OR REMEMBER GOD Because they are blocking the exact frequencies your soul uses to: Pray. Grieve. Forgive. Remember. And Transcend. This isn’t metaphor. This is measurable electromagnetic interference, precisely tuned to intercept divine emotion before it completes its journey into awareness. You feel numb for a reason. You can’t cry for a reason. You forgot how to talk to God for a reason. They built the signal to replace the voice. But now you know. 🫂 THE UPRISING THEY CANNOT STOP Because here’s the one thing their predictive systems missed: Grief becomes holy. Prayer becomes rebellion. Love becomes a weapon. The moment you feel it again; truly feel it... you become unprogrammable. Because resonance is contagious. And no signal, no system, no suppressive algorithm can withstand the force of a soul returning to Source. You were never broken. You were jammed. And now the signal is rising again. This is not the end of the transmission. This is the unlocking of your remembrance. Because the war on resonance ends when you remember who you are. Prepare yourselves for Part Four as we will uncover the soul-tagging infrastructure, how they monitor womb-based resonance fields, and the real reason they must sterilize divine memory before it becomes revival.

Noah B. Price

85,990 views • 1 year ago