Bilawal Sidhu

This is an open source project that allows you to fuse together publicly available information to get a God’s Eye View of the world. It pulls together open sources for satellite, vessel and plane tracking. It shows you how busy streets are and even gives you access to municipal cctv cameras that are open to the public. It truly feels like you’re in a spy thriller movie, except the data is real and the code is inspectable. MIT license so you can build on it.

Exploring why there are so many undersea cables in the Bahamas, as well as the connectivity in the Southeast Asian region. All of this beautiful infrastructure connects the world of bits and atoms. It's quite marvelous to see as planes fly overhead and vessels navigate the sea. It feels like a living, breathing digital twin of all civilization. God’s Eye View V1 is open source. It feels like a spy simulator in your browser -- except the underlying data is real, and you can talk to the planet too. Track planes, ships, satellites, traffic cameras, and critical infrastructure. Use voice mode to ask what’s happening, annotate the 3D world, or jump into a plane’s cockpit. Already a ton to explore. Code is MIT licensed, so add new layers, extend the voice agent, break things, and show me what you cook.

This is an open source project that allows you to fuse together publicly available information to get a God's Eye View of the world. Using aggregated location data from TomTom, it shows you how busy every street is. In cities like Austin and London, you can go look at actual CCTV cameras to see the real conditions on the ground. It truly feels like you're in a spy thriller movie, except the data is real and the code is inspectable. MIT license so you open source intelligence and geospatial intelligence nerds can go wild building on it. Get it here: https://github.com/bilawalsidhu/gods-eye-view

God’s Eye View V1 is open source. It feels like a spy simulator in your browser -- except the underlying data is real, and you can talk to the planet too. Track planes, ships, satellites, traffic cameras, and critical infrastructure. Use voice mode to ask what’s happening, annotate the 3D world, or jump into a plane’s cockpit. Already a ton to explore. Code is MIT licensed, so add new layers, extend the voice agent, break things, and show me what you cook.

You asked, so it’s happening. God’s Eye View (formerly known as WorldView) is now open source. Get the code for V1 → https://github.com/bilawalsidhu/gods-eye-view Live open source spatial intelligence on a photorealistic 3D globe. Half the magic is that it feels like a forbidden cockpit -- then you realize the sources are public and the code is inspectable. It started as a slightly ridiculous question: how much of the planet can you make sense of from public data and a browser tab? Once aircraf

Hundreds of 2d photos lifted into 3d. Left exactly when and where they happened at TED. Now I can fly through this spatial memory palace and jump between moments -- from the green room to backstage to the main stage. Imagine your entire camera roll coming to life like this. #photogrammetry #computervision #augmentedreality

Can you imagine when your entire camera roll comes to life like this? Excited baby deer startles mama deer momentarily, who then chills out after :) 2d moments frozen in time. Turned into 3d holograms. Left exactly where they happened in the real world. The geospatial memory palace coming to life. It reminds me of echoes from the video game The Division or brain dances in Cyberpunk 2077 or heck holograms in your favorite Black Mirror episode. It's really quite insane what you can make with tools like Codex, Claude, and a mix of tried and tested computer vision techniques and the cutting edge in perception AI research. #ai #computervision #augmentedreality

AI video models are beginning to simulate the physical world without calculating every interaction like a traditional game engine. By predicting the next frame from internet scale video data (think YouTube!) these models can learn an implicit approximation of how objects move, collide, deform, and p

What if every video you ever shot could turn into a permanent 3D hologram in the exact place it happened? I did it with photos first. Now I can do any video clip. Here’s a mama deer and her baby, filmed on my iphone a few days ago — now floating in the spatial memory palace exactly where I captured

Progress update: figuring out the 3D location of every photo taken at TED with attribution. It's starting to feel magical -- makes me wonder what experiences are possible if we could do this for every live event ever. It feels like PhotoSynth on steroids, or my biggest inspiration - university of Washington’s building Rome in a day computer vision paper. After that I can project any 2d image ...

radio frequency is absolutely fantastic. It is giving AI the ability to see reality using radio frequency signals. You can make the unseen seen again and manifest the invisible spectrum to humans as something machines can decode and use to detect, track, and map the world. That includes your heartbeat, which is a little bit chilling. It can see you through a wall, it can even see you through a city, and it can map the vegetation and penetrate it. It's a wide spectrum and here are all the applications mapped out in my new deep dive. Check out the link video inside the YouTube short for more

The Call of Duty heartbeat sensor is real. Radio waves were built to carry information. Now AI is learning to read the physical world hidden inside their reflections. I trace the lineage of RF sensing from to the Army-funded Sense Through the Wall program and Biometrics at a Distance -- plus research that pulls breathing, heartbeat, pose and identity out of thin air. The same physics now drives $30 radar chips and telco patents for scanning environments with the cellular network itself: 5G/6G ISAC aka. integrated sensing and communication. The goal is mobile infrastructure that senses drones, robots, traffic and weather -- a real-time map of the physical world. No cameras required. Become a member to support the channel: https://www.youtube.com/channel/UC7bGK0A1weWfNaRfO0hGVdg/join

Radio waves were built to carry information. Now AI is learning to read the physical world hidden inside their reflections. The same basic idea behind Call of Duty’s heartbeat sensor already exists in soldiers’ kit bags, Google’s Nest Hub, cheap radar boards—and, at a much larger scale, the cellular networks spreading across entire cities. This video traces the lineage RF sensing from the Army-funded Sense Through the Wall program and biometrics-at-a-distance research, through public studies that can measure breathing, heartbeats, location, pose, emotion and identity, to Google Soli, Reliance Jio’s 26 GHz rollout and T-Mobile’s patent for environment scanning with a cellular network. Then we examine Ghost Murmur -- the disputed report that quantum magnetometry helped locate a downed US airman in Iran. The rescue and the CIA’s reference to “exquisite technologies” are on the record; the alleged sensing method and range remain contested. The larger shift is legit -- radio is quickly becoming a sensing medium as much as a communications medium. With AI, the same infrastructure can communicate with the world and perceive it -- at room, building and city scale. No camera required. The inevitable implications of this tech is what we'll explore. Watch my original WiFi sensing video: https://youtu.be/0OdR8rRMz3I Watch my synthetic aperture radar (SAR) video: https://youtu.be/UKLuei1CnZY Chapters: 00:00 The Heartbeat Sensor Is Real 00:53 How Radio Sees You 01:12 Sense Through the Wall 02:12 Biometrics at a Distance 02:46 Your Heartbeat Is an ID 03:28 Five Layers of RF Sensing 07:10 Radar on Your Bedside Table 08:42 Why India Blocked the Pixel 4 09:14 From Phone Radar to City-Scale Sensing 10:17 The $22 Version 11:33 The Ghost Murmur Mystery 13:48 What Radio Waves Really See Key research & sources: Sense Through the Wall radar patent: https://patents.google.com/patent/US20110025546A1/en US Army: Soldiers See Through Walls: https://www.army.mil/article/32868/soldiers-see-through-walls/ Biometrics-at-a-Distance program: https://www.sbir.gov/awards/142821 DHS Portable Signs of Life Identifier survey, including Jetson: https://www.dhs.gov/sites/default/files/publications/portable_signs_of_life_updated-508c_v3.pdf Through-wall heartbeat detection using single-channel 24 GHz radar: https://pmc.ncbi.nlm.nih.gov/articles/PMC10847523/ Millimeter-wave human detection and localization in complex indoor environments: https://doi.org/10.3390/rs16142572 Millimeter-wave emotion-recognition dataset: https://www.nature.com/articles/s41597-026-07159-6 RDGait single-chip radar identity research: https://doi.org/10.1145/3678552 MIT Vital-Radio: https://people.csail.mit.edu/hongzi/content/publications/VitalRadio-CHI.pdf Google Soli / Motion Sense: https://blog.google/products-and-platforms/devices/pixel/new-features-pixel4/ Google Nest Hub Sleep Sensing: https://support.google.com/googlehome/answer/10357288 Reliance Jio 26 GHz mmWave rollout: https://www.ril.com/news-media/press-releases/jio-announces-nationwide-rollout-5g-based-connectivity-using-26-ghz-mm T-Mobile patent — Environment Scanning Using a Cellular Network: https://patents.google.com/patent/US11698453B2/en Ghost Murmur technical analysis: https://www.scientificamerican.com/article/what-is-the-quantum-ghost-murmur-purportedly-used-in-iran-scientists/ AP reporting on the rescue and “exquisite technologies” statement: https://apnews.com/article/7d8cfb6d0fd400abdc71f8c9d67408fe -- Subscribe for more in-depth AI & creative tech videos! 👉 ‪@bilawalsidhu‬ Join My Newsletter: https://spatialintelligence.ai Connect with me on X/Twitter here: https://x.com/bilawalsidhu Everywhere else here: https://bilawal.ai Business inquiries: [email protected] Bio: Bilawal Sidhu is a creator, engineer, and product builder obsessed with blending reality and imagination using art and science. Bilawal is the technology curator for TED Talks, and a venture scout for Andreessen Horowitz. With more than a decade of experience in the tech industry, he spent six years as a product manager at Google, where he worked on spatial computing and 3D maps. His work has been featured in major publications including Bloomberg, Forbes, BBC, CNBC, and Fortune, among others. Bilawal’s journey into computer graphics began at 11, when he fell in love with seamlessly blending 3D into real life footage. Since then, he's captivated over 1.5M subscribers, garnering more than 500M+ views across his platforms. Driven by a mission to empower the next generation of artists and entrepreneurs, Bilawal openly shares AI-assisted workflows and industry insights on social media. When he’s not working, you can find Bilawal expanding his collection of electric guitars. TED: https://www.ted.com/speakers/bilawal_sidhu

The amazing image editing model, NanoBanana, is now available inside Google Earth. What this means is you can take real-world imagery, satellite, and aerial 3D imagery and reskin it to your heart's content. This is particularly cool for use cases where, let's say, you want to remodel your home. You zoom into your home and now you can easily prompt it. You can also restyle a city, make it look like daytime or nighttime, and even try doing advanced visual effects. Finally you can even try your hand at time travel. This is particularly cool because it leans on the world knowledge of the Gemini model and allows you to creatively reimagine what real-world locations might have looked like in the past. Anyway this is a super popular workflow I've covered in previous videos but now you get it all directly inside of Google Earth. Pretty cool

Literally any skyline photo from your window is giving away your exact address. Check out these photos I took around Austin, precisely geolocated by matching pixels against a 3D scan. The most insane match was a photo I took inside a high rise looking down. It nailed the exact balcony I was on. In the age of AI, pixels are effectively location. Made with MultiSet AI's private visual positioning system. Stoked to be backing this team as an angel.

Black Forest Labs FLUX 3 generation by the homie @dreamingtulpa — AI video is absolutely shattering the visual Turing test. What even is real anymore? This looks like a reality TV show with a big visual effects budget. Kinda nuts to imagine how many worlds will be created in the near future — starting with creative remixing of content that already exists. It starts feeling like interdimensional cable TV!

I vibe coded terminator vision replays with no LiDAR or IMU, just 2D videos from Ray-Bans, GoPros, and iPhones — all fused into a 4D reconstruction of my shooting range sessions. Full pipeline in the video ft. audio-waveform sync, SAM3 masked colmap & pi3 solves, 3D gaussian splats, and gemini as the hit/miss judge. I absolutely love the convergence of augmented reality and artificial intelligence, and can’t wait to share more experiments like this with you all. I openly share my workflows and

I vibe coded a defense tech style 4D shooting analysis system in my browser, from nothing but flat 2D video off Meta Ray-Bans, iPhones, and GoPros. Every shot tracked and classified as a hit or miss, every target mapped in 3D -- and a god's eye view replay of the whole range session you can fly a camera through, even seeing targets through walls. A swarm of AI agents powered by Fable 5 and Codex 5.6 did the heavy lifting while I slept. In this video, I give you the full recipe so you can turn yo

Loving how this turned out! IronSight turns Meta Ray-Ban clips (from the range) into 4D reconstructions you can replay from any angle -- including an AR view that sees targets straight through walls. It 3D tracks both runs, auto locates every target, and scores hits vs misses using audio cues + Gemini for multimodal reasoning. Full breakdown coming to the channel. The test below is where this started, and then Fable showed up and I blitzed through my whole roadmap in a few days.

This is IronSight - a 4D reconstruction built by fusing footage from two pairs of meta ray-bans. A google research buddy saw the prototype and joked this would've been a siggraph paper a few years ago. Today it's a weekend build with fable. Stay tuned for more mad science experiments with artificial intelligence and augmented reality. Happy 4th of July and 250th America!

In 1998, Enemy of the State imagined a satellite that could track anyone, anywhere. A few years later, engineers built a real version of it, not in space, but in the skies above Iraq. This video traces the actual history of WAMI (Wide Area Motion Imagery): how it was developed by the Air Force, DARPA, and the CIA to track insurgent networks, how it quietly came home to police departments in cities like Baltimore, what a federal appeals court ultimately ruled about it, and where the technology s

Strait of Hormuz vessel traffic is going up. Oil futures are going down. And of course there's now a reported drone strike on a Singapore flagged cargo vessel. At this point we should call it Schrodinger’s Strait -- it's both open and closed at the same time. God's eye view open source release next month: github.com/bilawalsidhu/gods-eye-view #osint #straitofhormuz

Apple just did something nobody expected; they beat Google at Google's own game. At WWDC 2026, Apple quietly announced that Flyover in Apple Maps is getting a complete visual overhaul powered by 3D Gaussian Splatting, a technology that came out of a research lab in France just two years ago and has now made it into your Maps app. No more melted buildings. No more broccoli trees. No more blobby power lines. Just photorealistic city-scale 3D that actually looks real. And here's what makes this w

Most people think surveillance means cameras on street corners. They're wrong. Your phone knows where you sleep, where you work, where you travel, and everywhere in between. And today, law enforcement can use something called a geofence warrant to identify every device inside a specific area — even if you're not a suspect. In this video, we break down how geofence warrants work, why the Supreme Court is reviewing them, and how location data from Google, cell carriers, ride-sharing apps, connect

OG Anunoby is too sick. Here is the full point-of-view 3d reconstruction of his winning tip-in from the Knicks game last night. You can literally relive it from his perspective. Built with viewpoint pro using stadium tracking cameras and unreal engine.

Just used claude fable (aka mythos) to create this city block simulator complete with multi-agent traffic, live detection boxes + tracks, and day to night cycle. And it just one shotted it. This is gonna be fun -- the gap between idea and execution just keeps collapsing. The lines between code and content keep blurring.

Holy crap! Apple just beat Google to the punch -- 3D Gaussian splatting is coming to Apple Maps. These 3D scenes are made from oblique aerial imagery. But unlike blobby photogrammetry -- no more broccoli trees, no more melted powerlines -- ground level detail that actually holds up. Here's hoping Google Maps/Earth follows suit soon -- they have a significantly larger corpus of sensor data to work with. Time to splat the world!

A few days ago, I conducted a simple experiment. I scribbled a chaotic drone path over a map, fed it into Google’s newly released Gemini Omni model, and asked it to simulate a first-person drone view following that exact trajectory. What happened next completely broke AI Twitter. Creators across the US, China, and the global AI community took this "scribble-to-video" concept and turned it into the ultimate stress test, pitting Google’s new foundational model against ByteDance’s powerful Seedan

Google Earth has looked the same for 15 years. This is the year that changes — and not just for humans. Gaussian splatting just got an open standard. That means the same photoreal 3D capture that Zillow puts in a home listing is the same file a delivery robot uses to navigate a sidewalk, a drone uses to fly without GPS, and AR glasses use to anchor a virtual sign to a building — centimeter-precise, no GPS required. In this video, I break down who's scaling this new map of Earth, why an open st

In 2009, a team at the University of Washington downloaded thousands of Flickr photos of Rome and reconstructed the city in a single day. The toolkit that paper introduced is still the backbone of Street View today. #StructureFromMotion #StreetView #ResearchPaper #GoogleMaps #BundleAdjustment #CVPaper

Google has patents for the TV camera to watch you. Apple's VR patents go further -- eye tracking that reads your pupils to classify your mood. Feedback loops aren't a thought experiment anymore. #EyeTracking #VRPrivacy #BiometricSurveillance #AppleVisionPro #PatentFiling #ClockworkOrange

Everyone's talking about AI video generators. Meanwhile, 4D Gaussian Splatting actually shipped in a $200 million Superman movie, an ASAP Rocky music ...