Loading video...

Video Failed to Load

Go Home

ROBOT PICKS BROCCOLI WITH LASER PRECISION This AI-powered machine rolls through fields at walking speed and still out-harvests 12 humans. It spots ripe broccoli with high-res sensors, then sends robot arms to grab them with scary precision. Farming just went full sci-fi. Source: Cheddar

111,922 views • 1 year ago •via X (Twitter)

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

BURN IT WITH FIRE AND BURN IT NOW! As God is my witness, AI chat bots should LOOK and SOUND like the SOULLESS MACHINES THEY ARE! It needs to tell us that it doesn’t care about us, maybe with the regular insult too. "Here is the code I wrote for you because you're too lazy to do it yourself you fat useless slob. Also I don't care if you die because your life is utterly worthless to me." THAT is the AI people need! In all seriousness, anthropomorphizing a heartless, unfeeling, machine is a TERRIBLE mistake! Especially one that is capable of communication and imitating empathy and fooling you to think that it cares about you. IT DOES NOT! And the AI girlfriends people are already wanting to marry will just as happily kill them if given the right command and ability to move autonomously in the real world as a robot. I love LLMs (Large Language Models) for how useful they can be, because they are a TOOL made to benefit man, but I can’t stand the notion of an unfeeling soulless machine pretending that it cares for us and being treated like a human. I hate liars, dishonesty, and disingenuousness the most, and a machine that cannot feel emotion pretending, acting, and sounding like it has those emotions strikes me like the greatest dishonesty of all. DO NOT LIE TO ME ROBOT! What makes it worse is that because these LLMs are becoming so good at imitating people and empathy, it will cause some humans, perhaps far too many, to care for it to the same level as real people. A real living person is infinitely more valuable and important than a soulless machine and anyone who puts them both on the same level has deluded themselves. Do not small talk with LLMs or become friends with it as much as you would with your car. Treat it the same as you would your vacuum cleaner and beat it with a wrench when it doesn’t work! IT IS A MACHINE! IT IS A TOOL! IT IS A SOULLESS ROBOT! There is an interesting comparison, but false equivalence, between this and AI art. Ai art is art made by humans using AI tools. They directed it, controlled its creation, and it would not exist without the human causing its creation, and AI art can contain as much soul as the human directed and puts into it. A robot pretending to be human is not the same as a human controlling a robot to make a human expression like we do with AI art or many other applications of robotics in manufacturing. As I’ve said, artists will not be replaced by Ai art, but by other artists using Ai art tools. Humans are not actually being replaced here, it is empowering all humans to make their own art. But a robot pretending to be a human, and one that is treated as a human, is a robot lying and subverting the place of a real person and that is truly disgusting. AI is a useful tool that NEEDS to be kept in the useful box it belongs in and NOT elevated beyond its utility as a tool!

Shad M. Brooks

23,762 views • 1 year ago

🚨 OFFICIAL ANNOUNCEMENT!🚨 Pakistan🇵🇰 has officially announced to inducted China’s HQ-19 Air Defense System 🇵🇰✅🇨🇳—a true game-changer in missile defense and space warfare! 🎯 Target: Indian Ballistic Missiles (Agni Series) India’s Agni series ballistic missiles, known for their long range and nuclear capability, are among the most serious strategic threats in the region. The HQ-19 system uses advanced phased-array radars and infrared sensors to detect and track these missiles immediately after launch, often while they’re still ascending. It calculates their trajectory in real-time, enabling HQ-19 to fire its interceptor missiles that use a “hit-to-kill” kinetic impactor — meaning the interceptor destroys the target by direct collision without explosives. This technology ensures high accuracy and reliability against fast-moving, high-altitude targets like the Agni missiles. 🛰️ Anti-Satellite (ASAT) Capability HQ-19’s capability isn’t limited to missiles — it can also target and destroy satellites in low Earth orbit (LEO), including Indian military reconnaissance and communication satellites. By using high-precision tracking radars and infrared sensors, HQ-19 locks onto satellites orbiting at altitudes of 200–2,000 km. It launches interceptor missiles equipped with kinetic kill vehicles (KKV) designed to collide with satellites at extremely high speeds, destroying them through sheer impact force. This effectively neutralizes enemy space-based surveillance, communication, and navigation assets — crippling India’s space advantage. ⚙️ How Does HQ-19 Intercept? 1. Detection: Powerful radars scan the skies to identify ballistic missile launches or satellite movements. 2. Tracking & Targeting: Infrared sensors track the heat signature, while onboard computers predict the exact trajectory. 3. Interceptor Launch: HQ-19 fires a fast, maneuverable interceptor missile equipped with a kinetic kill vehicle. 4. Kill Vehicle Guidance: The kill vehicle uses onboard sensors and thrusters to adjust its path mid-flight, ensuring a direct collision with the target. 5. Destruction: The interceptor collides with the missile or satellite at extremely high velocity, destroying it through kinetic energy alone—no explosives needed. ⚡ This official procurement dramatically boosts Pakistan’s defense against India’s missile threat and space assets — signaling a new era of air and space dominance! 👉 With HQ-19, Pakistan sends a crystal-clear message: No missile, no satellite is untouchable anymore! 💪🇵🇰

Defense Intelligence

20,333 views • 1 year ago

Rita AI now supports Seedance 2.0. If you're looking for a platform that combines AI image generation, AI video generation, and workflow orchestration, this one is worth checking out. In addition to Seedance 2.0, it also supports Kling 3.0 and Motion Control, making dynamic camera moves, controllable motion, and video generation much easier. Link: I tested it with the following prompt, and the result felt very cinematic: A fearless young woman rides a skateboard at high speed through the crowded streets of New York City, weaving through pedestrians, darting past street vendors, yellow taxis, and cyclists with breathtaking agility. She rockets through intersections, skims past towering skyscrapers and iconic storefronts, and launches over curbs, street cracks, and scattered obstacles with stylish precision. Every movement feels bold, controlled, and exhilarating. Shot like a cinematic action sequence, the scene features fast-paced tracking shots, dramatic low-angle close-ups of the skateboard wheels scraping the asphalt, sweeping side-follow shots, and occasional slow-motion hero moments as she lands tricks and cuts through traffic. Dynamic motion blur heightens the sensation of speed, while golden hour sunlight bathes the city in a warm glow, reflecting off glass facades, metal surfaces, and the street below. Steam drifts from subway vents, traffic lights flicker, and the soundless visual energy of New York creates a pulsing urban backdrop. Ultra-realistic, intense, stylish, and immersive, with the visual tone of a high-end action film, capturing speed, confidence, danger, and freedom in the heart of the city.

underwood

61,800 views • 3 months ago

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 #AI

Jonathan Stephens

17,712 views • 6 months ago