a Vietnamese AI engineer just built a real-time system... that counts objects moving down a conveyor belt. it runs on ultralytics' objectcounter. train a detector, define the region you care about, and it handles the rest. works for anything on a line, parts, packages, produce. the clever bit: instead of hand-labeling thousands of frames, he took a single frame, pre-annotated it with meta's segment anything (sam-2, built into ultralytics), and trained yolo11-nano on just that. one annotated frame, and it tracks objects accurately across the entire video.show more

A guy from China just built a system that... reshapes thousands of glowing particles into a jellyfish, a dragon, a statue, and a samurai. Just by moving his hands in front of a camera. Just a webcam reading his hand position. Every particle recalculates in real time. 60 frames per second. Not pre-rendered. Not a recording. Live. Clench both fists and the entire thing collapses into nothing. The whole setup runs on a regular camera and a GPU particle system. No special hardware. This is where hand tracking, computer vision, and real-time graphics have gotten. And most people haven't noticed.show more

Elon Musk gave the entire entertainment industry its expiration... date, and he is the one building the thing that kills it. Musk: “My guess is that we see the first compelling half hour, pure AI show next year.” Next year. A complete show generated entirely by AI. No writers. No actors. No cameras. No sets. No crew. No studio. Just a prompt and enough compute to render a reality that never physically existed. And shows are the easy part. Musk: “I say probably we’re maybe three years away from AI does the whole video game.” A show plays the same way every time. A game has to generate a living world that reacts to every decision in real time across every single frame. That is a fundamentally harder class of problem. And Musk put three years on it. Right now a single AAA title takes seven years and half a billion dollars across thousands of engineers and artists just to ship it. Musk is describing a world where one person types a paragraph and gets something comparable. The entire value proposition of a multi-billion dollar industry lives inside that gap. And it closes in thirty-six months. But the prediction is not the story. The person making it is. This is not an analyst speculating from the sidelines. This is the man building the largest AI compute clusters on the planet. The man who built xAI from zero in under two years. The man stacking hundreds of thousands of GPUs into facilities designed to do exactly what he is describing. When Musk says three years, he is not guessing about what someone else might eventually ship. He is reading you a delivery date off his own roadmap. Every media company on Earth is valued on a single assumption. That quality content is expensive and difficult to produce at scale. That one assumption is the structural foundation underneath every studio, every network, and every publisher in existence. Musk is dismantling it with raw compute. The studios still parading thousand-person production teams are not demonstrating strength. They are advertising the exact cost structure that one person with a prompt and a GPU allocation is about to make irrelevant. And it does not stop at entertainment. If AI can generate an interactive world that responds to human input in real time, it can generate anything. Advertising. Architecture. Training simulations. Product design. Every industry built on humans manually constructing visual experiences frame by frame is sitting on the same countdown Musk just read out loud. Now zoom out. Because this is not just an industry story. For the entire history of human civilization, the distance between imagining a world and actually creating one required thousands of people, millions of hours, and billions of dollars. That distance built Hollywood. That distance built the gaming industry. That distance made content scarce and studios powerful. Musk is collapsing that distance to zero. When the gap between imagining something and it existing disappears, every business model built on the difficulty of creation disappears with it. That is not disruption. That is a full inversion of how human beings create. Musk did not make a casual prediction on that podcast. He told you what he is building. He told you the timeline. And he told you which industries do not survive it. The entertainment industry is still debating whether this future is real. Musk is not part of that debate. He is building. And he just told you the delivery date.show more

It is reported that China built a train that... runs on roads with no tracks. Grok is this real or Ai?show more

You can't 3D reconstruct glass from images... ...WRONG! Thanks... for video diffusion, now just about anything is possible! Introducing...Diffusion Knows Transparency (DKT) Transparent and reflective objects usually break robot vision and photogrammetry pipelines because they don't follow the "solid object" rules standard cameras expect. DKT is a new AI model that repurposes the "internal physics engine" found in video generation models to solve this problem. Researchers took a massive video diffusion model (WAN) and fine-tuned it using a custom-built synthetic dataset to turn it into a high-precision depth sensor. To train the AI, they built the first massive synthetic video library of transparent objects, 1.32 million frames of perfectly labeled glass and metal objects in motion. Without ever seeing a "real" labeled video of glass during training, the model (DKT) outperformed all previous specialized systems on real-world benchmarks (ClearPose, DREDS). They created a "lightweight" 1.3B parameter version that runs fast enough (0.17s per frame) to be used on actual robot hardware. Two reasons I find this project important: 1. It further proves that synthetic data will be essential for training the next generation vision models. 2. In real-world robotic tests, using DKT's depth maps nearly doubled the success rate of robot arms trying to pick up objects on tricky reflective or translucent surfaces. At home robots will need to interact with these types of objects on a daily basis. Check out the project page here: Code is LIVE! #Computervision #Robotics #AIshow more

this is crazy... the guy reverse-engineered his camera with... Opus 5.5 into an AI object tracking device he built it on Opus 5.5 + OpenCV and open-sourced the whole workflow here's how it works step by step: step 1 → connect OpenCV to Claude Code with one command: claude mcp add opencv -- uvx opencv-mcp-server Now Claude can read frames, detect objects and track them on its own step 2 → Opus 5.5 reverse-engineers the camera and finds the hidden video stream the official app uses step 3 → OpenCV pulls that stream straight from the camera at 30 frames per second step 4 → OpenCV runs a cheap check on every frame: did something move, is it big enough to care about? Nothing new means no expensive AI call step 5 → only then Opus 5.5 looks at the frame and names the object, like "cat" or "person with a red bag". You can also just type what to follow step 6 → OpenCV locks a box on the target and follows it frame by frame. Opus re-checks every 2 seconds to make sure it's still the right object step 7 → on the Mac a command center shows it all live: the feed with the tracking box, a confidence bar, the object's path and a log under the hood: → if the tracker loses the object, Opus scans the frame and finds it again → if the stream drops, it reconnects and keeps the same target → every track is saved as a CSV with timestamps and coordinates → an overlay draws the box on the live video, ready for OBS Clone his workflow below Then read the guide on how to reverse-engineer anything with Opus 5.5 ↓show more

Ultralytics YOLO11 vs Ultralytics YOLO26: Which one runs faster?... ⚡ Evaluate inference speed and performance across both models in the ONNX format to understand how YOLO26 improves efficiency for real-time computer vision applications. Read more ➡️ #Ultralytics #YOLO26 #AI #Research #ComputerVisionshow more

The new GPT Engineer is insane. I just wrote... a single sentence and it created me a landing page for a SaaS business! It outputs the code, allows you to modify anything and publish it with just one click 🤯show more

SOMEONE BUILT A WAY TO SEND FILES BETWEEN TWO... PHONES WITH NO WIFI, NO BLUETOOTH AND NO NETWORK AT ALL it works with just a screen flashing qr codes at a camera one device plays an endless stream of animated qr codes, the other one points its camera at the screen and rebuilds the file out of the light no pairing, no app, no shared network, nothing but the camera > its pulling about 129 kb/s, a full 2mb image transfers in seconds > theres no back channel, the receiver can never ask for a missed frame, so it uses fountain codes, every frame is a scrambled mix of the file rather than one piece of it > that means the receiver just collects any frames it can catch in any order, and once it has enough it can reconstruct the whole file > dropping frames costs you a little time but never breaks the transfer > you can point the camera at a stream thats already running and it just locks on mid flight he was building a cached mp3 player because he was sick of ads and bad streaming quality. he wanted a way to send tracks phone to phone without both phones being on the same network, and realized flashing qr codes could carry the data he built the whole working prototype in one night with claude code its open source and already at 375 starsshow more

I built a Bing AI clone called Zing! Featuring... functional GPT-4 and Bing API search integration. I didn't write a single line of code; I just asked, and GPT-4 did the rest 🤯😅 It took roughly 2 hours. Hosted on Replit ⠕show more

Detect road potholes in real time using Ultralytics YOLO11!... 🕳️ Identify potholes accurately from images or video to support road maintenance, safety monitoring, and smart city infrastructure workflows. Read more ➡️ #AI #SmartCities #Ultralytics #YOLO11show more

Claude cannot watch a YouTube video, Instagram reel, Tiktok,... or local file video. Same problem is with ChatGPT and Gemini. It reads the transcript and pretends it did. This FREE AI TOOL fixes this issue It extracts only the important frames, transcribes the audio, and hands Claude a clean folder it can genuinely read and understand. No uploading to a server. Runs entirely on your machine. Here is what makes it smarter than everything else doing this: → Detects scene changes instead of grabbing one frame per second like every other tool → Removes near-duplicate frames so Claude is not reading the same shot 40 times → Handles A-B-A cuts, if a shot already appeared, it does not send it again → A 10-minute static screencast collapses to 1 frame instead of 600 → A fast-cut reel catches every visual change instead of missing frames between samples → Transcribes audio with Whisper and auto-detects the language → Saves the full soundtrack so audio models can actually hear it too → Works with Claude, ChatGPT, and Gemini The result: fewer frames, cheaper context, better understanding. Claude actually sees the video instead of guessing from a transcript.show more

A MALAYSIA STUDIO SPENT $450,000 ON A STUNT WHERE... A REAL SUBWAY TRAIN BLASTS OUT OF A CINEMA SCREEN AND TEARS DOWN A SET OF RAILS BETWEEN THE SEATS. OR SO IT LOOKS a packed theater films on their phones as the screen shows a slow crawl into a stone tunnel, two headlights swelling in the dark. then a full metro car punches off the screen onto tracks bolted down the middle aisle and roars past the rows close enough to blow a girl’s hair straight across her face while she screams laughing into her hands. that reads like a decommissioned train car, rails engineered through a live auditorium, a projection rig synced to the frame, a stunt driver, a wind and vibration crew, and an insurance policy no cinema would ever sign. easily $450,000, and no theater on earth runs a train through its own seats. no train, no tracks, no cinema shoot, no crew. the whole thing was made with AI in Picsart , from a single prompt, on a laptop. here is why it works: it attacks the one screen your brain treats as a hard wall, the cinema screen, and lets something heavy and loud come through it. you flinch before you can reason, and the girl ducking with her hair flying is the proof your body reacts first and asks questions later. made it in Picsartshow more

Update on my lightweight intercom alternative that runs on... a $5 a month server. The widget is almost ready. It took more work than I expected. I spent a lot of time making it light on websites and thinking through interactions and UI. Built with Go and Vue, and I’ll open source it soon.show more

AI VIDEO TOOLS HAVE A DIRTY SECRET one shot's... wrong and you're back regenerating, hoping the parts you liked survive Pexo gives you another way: → use Mark to Fix to select the bit that's off on a frame → say what's wrong and what you want instead → ask for a targeted change that's not a feature, that's finally directing it instead of gamblingshow more

THIS GUY GOT SICK OF UK TRAIN STATIONS HIDING... THE PLATFORM NUMBER UNTIL THE LAST SECOND, SO HE VIBE CODED AN APP THAT PREDICTS IT BEFORE THEY REVEAL IT if youve ever stood in a crowded station like london euston, you know the pain the platform stays hidden until 15 minutes before boarding, then it flashes up and hundreds of people sprint for the same gate so he built something that fixes this: > a clean departures and arrivals app pulling live data straight from the network rail apis > live train tracking so you can watch where your train actually is on the route and whether its running on time > the main feature is a predictive engine that guesses your platform before the station reveals it, and its right about 75% of the time heres how it predicts: every time a train finishes its journey, it logs which platform it actually pulled into and compares that to the platform network rail originally advertised it saves every one of those comparisons, and over time it builds up enough history to predict the platform with a real confidence score he built the whole thing with claude, mostly opus with some fableshow more

Do you actually understand what's happening. He took an... old laptop and turned it into a box that replaces every AI subscription he pays for. Now that box brings in $2,500 a month, per client, on repeat. No new hardware. Just parts he already had, mounted on a printed plate, running six agents without breaking a sweat. The agents don't sleep. One scouts topics. One writes drafts. One rejects anything below standard. One pushes finished work out the door. One watches over the rest. Fifteen clients. Thirty pieces of content each, every month. Four hours a week from him. The system he built out of spare parts now earns more than most people's actual job. Everyone else recycled their old laptop. He recycled his into income.show more

One of the coolest things about Samsung’s Frame Pro... TV that further enhances the effect that it’s a painting is that when you get the remote and turn the TV on, sometimes it just doesn’t and keeps displaying art. Pretty cool effect!show more

Mediabunny has world-class video seeking across all file formats.... On the left, VLC *trying* to seek through a .ts file, and it just kind of gives up. On the right, a player built with Mediabunny. It just works. Doesn't matter if it's in memory, on disk, or over the network.show more

The power of 𝝠 Expo + LLMs is staggering.... Nathan Schroeder built this app a day. It's called Amber and it's a place to save almost anything and let AI organize it all for you. Built on Expo + Convex + + AI SDK.show more