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CATCH A DESIGN PROBLEM ON AN EMPTY LOT, IT'S FREE. CATCH IT AFTER FRAMING, IT'S A CHANGE ORDER. This is a phone camera on an empty yard, AR-mapping the actual house frame onto real ground, full scale, before anything gets built. WITHOUT AR WALKTHROUGH: Design issue caught during or...

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Solvaix

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48,954 次观看 • 21 天前 •via X (Twitter)

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⚠️ FRAMERS, THAT HOUSE YOU'RE BUILDING BY HAND IS BEING BUILT BY A ROBOT CREW SOMEWHERE ELSE RIGHT NOW A dozen Tesla Optimus units just framed an entire house from the foundation up, no scaffolding crew, no framing contractor, nobody standing around waiting on materials. Framing is one of the hardest jobs on a site. You're balancing on trusses, reading blueprints on the fly, and timing every cut so the whole structure lines up by the time the roof goes on. It's the kind of work people spend years getting good at. Now watch what's happening in the footage. The robots are climbing the frame, setting studs, running the roof trusses, and doing it as a full crew, the way an actual framing team would, except none of them stop for lunch and none of them call in hurt. Nobody expected robots to learn a full trade before they learned to walk normally. They're already building the house. If you still think construction is years away from automation, the frame is already up.
0:15

⚠️ FRAMERS, THAT HOUSE YOU'RE BUILDING BY HAND IS BEING BUILT BY A ROBOT CREW SOMEWHERE ELSE RIGHT NOW A dozen Tesla Optimus units just framed an entire house from the foundation up, no scaffolding crew, no framing contractor, nobody standing around waiting on materials. Framing is one of the hardest jobs on a site. You're balancing on trusses, reading blueprints on the fly, and timing every cut so the whole structure lines up by the time the roof goes on. It's the kind of work people spend years getting good at. Now watch what's happening in the footage. The robots are climbing the frame, setting studs, running the roof trusses, and doing it as a full crew, the way an actual framing team would, except none of them stop for lunch and none of them call in hurt. Nobody expected robots to learn a full trade before they learned to walk normally. They're already building the house. If you still think construction is years away from automation, the frame is already up.

V0LYX

364,883 次观看 • 23 天前

China just dropped an open source model that turns any phone into a 3D scanner you point it at a room and walk through it the whole space builds itself into a 3D point cloud in real time as the camera moves, no LiDAR and no depth sensor anywhere it held a full 13 minute walkthrough at 25,000 frames without the map drifting or collapsing > ~20 fps on a single GPU > works indoors and outdoors from plain footage > the scan normally needs a $50,000 rig and a technician > Apache 2.0 and runs fully offline on your machine repo in the reply
0:18

China just dropped an open source model that turns any phone into a 3D scanner you point it at a room and walk through it the whole space builds itself into a 3D point cloud in real time as the camera moves, no LiDAR and no depth sensor anywhere it held a full 13 minute walkthrough at 25,000 frames without the map drifting or collapsing > ~20 fps on a single GPU > works indoors and outdoors from plain footage > the scan normally needs a $50,000 rig and a technician > Apache 2.0 and runs fully offline on your machine repo in the reply

savip

104,123 次观看 • 1 个月前

I've seen a lot of animatics lately that are super detailed, essentially viewport previews of the final shot. But an animatic at it's core doesn't need to be anything fancy. Its main purpose is to plan and test the timing, camera angles, movement, and overall composition. With animatics you have to keep in mind the following: Pre-visualization: It allows to see a basic version of the animation or scene before committing to detailed work. Timing and pacing: An animatic helps identify how long each scene or shot should last, ensuring that the timing feels right. Planning: It helps with layout, camera angles, and transitions. By visualizing the shots, the team can ensure that the framing and overall design of the scenes work well in 3D space. Efficiency: It allows the team to test and fix any potential issues early on, like awkward movements or awkward pacing, before spending time on high-quality rendering or complex animation. In short, an animatic helps in conceptualizing the final animation by giving a low-res, rough version of the scenes, which guides the entire production process in terms of visual design, timing, and storytelling.
0:12

I've seen a lot of animatics lately that are super detailed, essentially viewport previews of the final shot. But an animatic at it's core doesn't need to be anything fancy. Its main purpose is to plan and test the timing, camera angles, movement, and overall composition. With animatics you have to keep in mind the following: Pre-visualization: It allows to see a basic version of the animation or scene before committing to detailed work. Timing and pacing: An animatic helps identify how long each scene or shot should last, ensuring that the timing feels right. Planning: It helps with layout, camera angles, and transitions. By visualizing the shots, the team can ensure that the framing and overall design of the scenes work well in 3D space. Efficiency: It allows the team to test and fix any potential issues early on, like awkward movements or awkward pacing, before spending time on high-quality rendering or complex animation. In short, an animatic helps in conceptualizing the final animation by giving a low-res, rough version of the scenes, which guides the entire production process in terms of visual design, timing, and storytelling.

Voxyde

22,244 次观看 • 1 年前

⚠️THIS IS WHAT PEOPLE ACTUALLY MEAN WHEN THEY JOKE ABOUT WANTING A ROBOT HUSBAND. He's doing the dishes. Then he's vacuuming the living room. No sighing about it, no "I'll do it later," no arguing about whose turn it is. Just cute, strong, and quietly getting through the list without being asked twice. That's the actual pitch behind this whole genre of clip. Not the metal arms, not the robot parts. The fantasy is a partner who's genuinely good looking, physically capable of anything around the house, and does the work without turning it into a negotiation. The honest catch: obviously none of this is real. This is AI generated concept content, not a real robot and not a real person. Nobody's building a chore-doing, conflict-free, perfect partner anytime soon. But the fantasy still says something true, a lot of relationship frustration isn't really about looks or strength, it's the arguing, the reminding, the doing it yourself anyway. This clip skips straight past all of that. The robot husband joke works because it's not really about robots. It's about how low the actual bar is. Would you take the "does chores without complaint" part even without the robot body attached, or is the whole fantasy the package deal?
0:12

⚠️THIS IS WHAT PEOPLE ACTUALLY MEAN WHEN THEY JOKE ABOUT WANTING A ROBOT HUSBAND. He's doing the dishes. Then he's vacuuming the living room. No sighing about it, no "I'll do it later," no arguing about whose turn it is. Just cute, strong, and quietly getting through the list without being asked twice. That's the actual pitch behind this whole genre of clip. Not the metal arms, not the robot parts. The fantasy is a partner who's genuinely good looking, physically capable of anything around the house, and does the work without turning it into a negotiation. The honest catch: obviously none of this is real. This is AI generated concept content, not a real robot and not a real person. Nobody's building a chore-doing, conflict-free, perfect partner anytime soon. But the fantasy still says something true, a lot of relationship frustration isn't really about looks or strength, it's the arguing, the reminding, the doing it yourself anyway. This clip skips straight past all of that. The robot husband joke works because it's not really about robots. It's about how low the actual bar is. Would you take the "does chores without complaint" part even without the robot body attached, or is the whole fantasy the package deal?

V0LYX

81,329 次观看 • 12 天前

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.
0:17

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.

Dustin

22,390 次观看 • 1 个月前

Furniture assembly is the task everyone name-drops and nobody actually attempts at real scale. Every demo I have seen is a scaled down IKEA leg or a single arm on a toy chair. This paper does it properly, real scale, bimanual, up to 7 subtasks and 1,550 control steps per episode, and it is validated on a real Kinova Gen3, not just in sim. That real-robot number is the one that matters: only a 16 percent drop on the hardest task going from simulation to hardware. That is a small enough gap to take seriously, and it did not happen by accident. They built a VR teleoperation rig specifically for coordinated dual-arm collection, because generic single-arm teleop setups do not capture the coordination real assembly needs, and the model predicts a continuous progress signal alongside the action chunk rather than a discrete subtask label, letting it auto-transition and catch drift before it compounds into total failure. The simulation ablation is what got them there, 48 to 80 percent over baselines, with another 21 points from their perception and control design study alone, but that is groundwork, not the headline. Watch the video, there is a clip of the robot misgrasping the seat panel, reopening the gripper, and regrasping on its own. That is not scripted recovery behaviour, it emerged from training, and it emerged on hardware. Excellent work from the team from Mitsubishi Electric Research Laboratories, with Oxford and UNC Chapel Hill Clinical Laboratory Science. Video and project page in comments. #Robotics #Manipulation #VLA
0:14

Furniture assembly is the task everyone name-drops and nobody actually attempts at real scale. Every demo I have seen is a scaled down IKEA leg or a single arm on a toy chair. This paper does it properly, real scale, bimanual, up to 7 subtasks and 1,550 control steps per episode, and it is validated on a real Kinova Gen3, not just in sim. That real-robot number is the one that matters: only a 16 percent drop on the hardest task going from simulation to hardware. That is a small enough gap to take seriously, and it did not happen by accident. They built a VR teleoperation rig specifically for coordinated dual-arm collection, because generic single-arm teleop setups do not capture the coordination real assembly needs, and the model predicts a continuous progress signal alongside the action chunk rather than a discrete subtask label, letting it auto-transition and catch drift before it compounds into total failure. The simulation ablation is what got them there, 48 to 80 percent over baselines, with another 21 points from their perception and control design study alone, but that is groundwork, not the headline. Watch the video, there is a clip of the robot misgrasping the seat panel, reopening the gripper, and regrasping on its own. That is not scripted recovery behaviour, it emerged from training, and it emerged on hardware. Excellent work from the team from Mitsubishi Electric Research Laboratories, with Oxford and UNC Chapel Hill Clinical Laboratory Science. Video and project page in comments. #Robotics #Manipulation #VLA

Stephen James

14,952 次观看 • 1 个月前

This is the kind of play that eye testers have a hard time with, but also shows why catch probability is so useful. This ball had just a 55% catch probability, and is just made to look so easy by Ceddanne Rafaela. It's all about what you don't see on the screen, because it happens before the camera is on the play. The jump is 9.0 feet above average. He was positioned well into right-center. Lesser outfielders win catch on the week on this one with a full extension dive.
0:11

This is the kind of play that eye testers have a hard time with, but also shows why catch probability is so useful. This ball had just a 55% catch probability, and is just made to look so easy by Ceddanne Rafaela. It's all about what you don't see on the screen, because it happens before the camera is on the play. The jump is 9.0 feet above average. He was positioned well into right-center. Lesser outfielders win catch on the week on this one with a full extension dive.

The WARmonger

437,897 次观看 • 1 年前

$180,000 VOLVO SEMI TRUCK. EVERY WIRE AND PIPE IN THE CAB AND ENGINE BAY MAPPED IN ADVANCE. BUILT BY TYPING SENTENCES INSTEAD OF PLACING THEM BY HAND. A cab and engine bay this dense needed its wiring, cooling lines, and air and brake lines modeled and checked for clashes before a physical prototype could be built. The design team connected Kimi K3 to their CAD software through MCP, then had it read photos of the cab and engine bay alongside plain English descriptions of each system and build the model directly instead of placing every line by hand. Old process: 2 engineers, 3 weeks, around $19,000. New process: 1 engineer reviewing and refining the AI's output, 5 days, roughly $3,500 combined, engineer's time plus AI compute. Routing clashes caught this way cost a few hundred dollars to fix. The same clash caught after a physical prototype is already built costs 10 to 100 times more. See the article below for a smaller example of the Kimi K3 + Blender MCP workflow.
0:14

$180,000 VOLVO SEMI TRUCK. EVERY WIRE AND PIPE IN THE CAB AND ENGINE BAY MAPPED IN ADVANCE. BUILT BY TYPING SENTENCES INSTEAD OF PLACING THEM BY HAND. A cab and engine bay this dense needed its wiring, cooling lines, and air and brake lines modeled and checked for clashes before a physical prototype could be built. The design team connected Kimi K3 to their CAD software through MCP, then had it read photos of the cab and engine bay alongside plain English descriptions of each system and build the model directly instead of placing every line by hand. Old process: 2 engineers, 3 weeks, around $19,000. New process: 1 engineer reviewing and refining the AI's output, 5 days, roughly $3,500 combined, engineer's time plus AI compute. Routing clashes caught this way cost a few hundred dollars to fix. The same clash caught after a physical prototype is already built costs 10 to 100 times more. See the article below for a smaller example of the Kimi K3 + Blender MCP workflow.

Solvaix

64,807 次观看 • 14 天前

I've always been a big fan of Freeez's I.O.U. It's one of those records that helped shape dance music without a lot of people even realizing it. 🔥 So when KRYDER, The Young Punx and I started working on AEIOU, the goal wasn't to recreate an '80s classic, but to build on what made it so special and turn it into something that feels fresh on today's dancefloors. I've been playing this one out for a while now and it's always been a lot of fun to see the reactions. AEIOU is out this week on Heldeep Records 😎❤️
0:21

I've always been a big fan of Freeez's I.O.U. It's one of those records that helped shape dance music without a lot of people even realizing it. 🔥 So when KRYDER, The Young Punx and I started working on AEIOU, the goal wasn't to recreate an '80s classic, but to build on what made it so special and turn it into something that feels fresh on today's dancefloors. I've been playing this one out for a while now and it's always been a lot of fun to see the reactions. AEIOU is out this week on Heldeep Records 😎❤️

Oliver Heldens 🕺🏻🙌✨/💹🧲

13,604 次观看 • 1 个月前

THIS GUY BUILT A TOOL THAT TURNS YOUR STARTUP SCREENSHOTS INTO POLISHED WALKTHROUGH VIDEOS you drop in a screenshot of your app and it generates a full motion video walkthrough or feature announcement no after effects, no premiere, no motion designer needed, and no spending 3 hours on a 15 second clip just upload your screenshot and it animates everything into a clean product demo you can use on your landing page or social media launch every startup founder has the same problem. you build something great but your demo video looks horrible. a screen recording with a cursor clicking around randomly this solves that. the output looks CLEAN and professional if you're launching anything right now you should probably use this asap
0:10

THIS GUY BUILT A TOOL THAT TURNS YOUR STARTUP SCREENSHOTS INTO POLISHED WALKTHROUGH VIDEOS you drop in a screenshot of your app and it generates a full motion video walkthrough or feature announcement no after effects, no premiere, no motion designer needed, and no spending 3 hours on a 15 second clip just upload your screenshot and it animates everything into a clean product demo you can use on your landing page or social media launch every startup founder has the same problem. you build something great but your demo video looks horrible. a screen recording with a cursor clicking around randomly this solves that. the output looks CLEAN and professional if you're launching anything right now you should probably use this asap

Om Patel

100,910 次观看 • 3 个月前

This has been circulating in expedition forums for weeks. No location. No names. No paper. Someone with a camera walked up to an opening in the rock and started filming. Look at what's inside. It's not a bear. Bears have fur, and this doesn't. It's not a rock. Rocks don't have that shape. Whatever it is, it fills the entire cavity. Nothing behind it. Nothing beside it. Just this. The clip ends before anyone gets closer. Nobody does. What do you think is inside that cave?
0:14

This has been circulating in expedition forums for weeks. No location. No names. No paper. Someone with a camera walked up to an opening in the rock and started filming. Look at what's inside. It's not a bear. Bears have fur, and this doesn't. It's not a rock. Rocks don't have that shape. Whatever it is, it fills the entire cavity. Nothing behind it. Nothing beside it. Just this. The clip ends before anyone gets closer. Nobody does. What do you think is inside that cave?

DarkFootage_0_o

8,757,116 次观看 • 1 个月前

Not a change, but I've had a TON of folks asking if this is getting changed from June 10. This is a ball hit by Mookie Betts of the Los Angeles Dodgers and it was ruled an error on Jake Mangum of the Pittsburgh Pirates. The only thing I can think of is that Mookie didn't appeal, because this is a base hit, it's always been a base hit, and it will continue to be a base hit. Except on this one play. There is no way a sliding attempt like this is an error. I know Mangum broke the wrong way, but that doesn't factor it ... it's the catch, the physical catch, and there is ZERO CHANCE this is ordinary effort. I know we talk changes here, but this non-change is the most confounding one for me since Aaron Judge's first career walk-off hit, which was the most obvious fielder's choice of all time, but because it was the last play of the season, it didn't get appealed or changed.
0:14

Not a change, but I've had a TON of folks asking if this is getting changed from June 10. This is a ball hit by Mookie Betts of the Los Angeles Dodgers and it was ruled an error on Jake Mangum of the Pittsburgh Pirates. The only thing I can think of is that Mookie didn't appeal, because this is a base hit, it's always been a base hit, and it will continue to be a base hit. Except on this one play. There is no way a sliding attempt like this is an error. I know Mangum broke the wrong way, but that doesn't factor it ... it's the catch, the physical catch, and there is ZERO CHANCE this is ordinary effort. I know we talk changes here, but this non-change is the most confounding one for me since Aaron Judge's first career walk-off hit, which was the most obvious fielder's choice of all time, but because it was the last play of the season, it didn't get appealed or changed.

MLB Scoring Changes

40,679 次观看 • 2 个月前

I opened it up to do Zoom calls last week thinking I’d just get a few. 40 people booked calls within the first 24 hours. 🥴 I was worn out. But, one the underlying theme was “Hey I’m looking at this land in NC/TN/GA..is this a good piece?” Let me reiterate…what lurks below those top few inches of soil in ANY mountainous area you buy land or buy a single lot in can be a total nightmare. You have to be very careful with that initial purchase. Anyone who did a Zoom call with me found out the main key steps to go through before you sign a contract, but, let here is a recent example of 1/2 acre lot I built a cabin on recently, in an existing development. The amount of rock we had to bust through almost killed the job. It took over 2 months of non stop hammering to get the lot prepped with my CAT machines. This is why I have a very detailed approach before I even buy a small lot to build on at this point. The cost of excavating/prepping even a small 1/3 acre the lot can run you well north of $100,000 if you’re not careful.
0:12

I opened it up to do Zoom calls last week thinking I’d just get a few. 40 people booked calls within the first 24 hours. 🥴 I was worn out. But, one the underlying theme was “Hey I’m looking at this land in NC/TN/GA..is this a good piece?” Let me reiterate…what lurks below those top few inches of soil in ANY mountainous area you buy land or buy a single lot in can be a total nightmare. You have to be very careful with that initial purchase. Anyone who did a Zoom call with me found out the main key steps to go through before you sign a contract, but, let here is a recent example of 1/2 acre lot I built a cabin on recently, in an existing development. The amount of rock we had to bust through almost killed the job. It took over 2 months of non stop hammering to get the lot prepped with my CAT machines. This is why I have a very detailed approach before I even buy a small lot to build on at this point. The cost of excavating/prepping even a small 1/3 acre the lot can run you well north of $100,000 if you’re not careful.

BowTiedBroke

56,894 次观看 • 1 年前

SOMEONE VIBE CODED AN APP THAT TURNS ANY PHOTO INTO A REAL PHYSICAL STAMP YOU CAN ORDER you snap a photo, it cuts it into a clean stamp design, and you can order the actual physical stamp to press onto anything. > take or upload any photo or image > it turns it into a proper stamp design automatically > all your designs are saved and sorted by date, so you can go back to any of them > order the real physical stamp right from the app and it ships to you > press it onto letters, packaging, cards, whatever you want so instead of paying a custom shop and waiting, you make your own stamp from a photo in a couple taps, then order it without ever leaving the app. the whole thing is dead simple and does one thing well, which is exactly why people love it
0:19

SOMEONE VIBE CODED AN APP THAT TURNS ANY PHOTO INTO A REAL PHYSICAL STAMP YOU CAN ORDER you snap a photo, it cuts it into a clean stamp design, and you can order the actual physical stamp to press onto anything. > take or upload any photo or image > it turns it into a proper stamp design automatically > all your designs are saved and sorted by date, so you can go back to any of them > order the real physical stamp right from the app and it ships to you > press it onto letters, packaging, cards, whatever you want so instead of paying a custom shop and waiting, you make your own stamp from a photo in a couple taps, then order it without ever leaving the app. the whole thing is dead simple and does one thing well, which is exactly why people love it

Om Patel

100,110 次观看 • 1 个月前

🚨 A 16-YEAR-OLD RAN A RED LIGHT… AND HIS DIRT BIKE INSTANTLY ERUPTED INTO A FIREBALL A teenager in California blew through an intersection on a dirt bike that wasn’t even street-legal, and the second it hit a car, the entire bike detonated in a blast of flames caught on video. The explosion was so violent the driver of the car says her hair caught fire, while the teen on the dirt bike somehow walked away with only a broken ankle. A crash is one thing. A dirt bike turning into a fireball is something else entirely. What makes a dirt bike explode like that?
0:19

🚨 A 16-YEAR-OLD RAN A RED LIGHT… AND HIS DIRT BIKE INSTANTLY ERUPTED INTO A FIREBALL A teenager in California blew through an intersection on a dirt bike that wasn’t even street-legal, and the second it hit a car, the entire bike detonated in a blast of flames caught on video. The explosion was so violent the driver of the car says her hair caught fire, while the teen on the dirt bike somehow walked away with only a broken ankle. A crash is one thing. A dirt bike turning into a fireball is something else entirely. What makes a dirt bike explode like that?

HustleBitch

147,978 次观看 • 9 个月前

A FILM PRODUCER JUST BLOCKED ME FOR SHOWING HIM THIS SEEDANCE 2.0 CLIP I posted it privately in a group chat. He DM'd me one question: "How much did this cost?" I told him the truth. It cost nothing. One person. Fifteen seconds. A stone dragon the size of a skyscraper breaking through clouds. Two figures standing on a cliff watching it rise. Volumetric fog wrapping around carved scales. Light cutting through the clouds behind its head. This is the opening shot of a fantasy film that doesn't exist. No studio greenlit it. No concept artist spent six months on creature design. No VFX house rendered it on a server farm for eight weeks. He told me a single shot like this would take a team of forty and a minimum of $2 million in VFX budget. For fifteen seconds. I showed him the prompt window. He said "that's not possible." Then he watched it three more times without saying a word. The last thing he said before he blocked me: "If this gets out, half my vendor list is dead" It's out. Half your vendor list was already dead. You just hadn't checked.
0:15

A FILM PRODUCER JUST BLOCKED ME FOR SHOWING HIM THIS SEEDANCE 2.0 CLIP I posted it privately in a group chat. He DM'd me one question: "How much did this cost?" I told him the truth. It cost nothing. One person. Fifteen seconds. A stone dragon the size of a skyscraper breaking through clouds. Two figures standing on a cliff watching it rise. Volumetric fog wrapping around carved scales. Light cutting through the clouds behind its head. This is the opening shot of a fantasy film that doesn't exist. No studio greenlit it. No concept artist spent six months on creature design. No VFX house rendered it on a server farm for eight weeks. He told me a single shot like this would take a team of forty and a minimum of $2 million in VFX budget. For fifteen seconds. I showed him the prompt window. He said "that's not possible." Then he watched it three more times without saying a word. The last thing he said before he blocked me: "If this gets out, half my vendor list is dead" It's out. Half your vendor list was already dead. You just hadn't checked.

Cip⚡️

125,496 次观看 • 1 个月前

She's 21. She makes $22,000 a month doing nothing, but filming her own life - the gym, the surf, the climbing, the run and letting AI do the rest. She's not a model. She doesn't sell a course. She just lives a full life on camera and every single hobby is a brand category that's desperate for content. The surf clip is a wakeboard brand's ad. The climbing gym wants the bouldering footage. The track session is an activewear drop. The smoothie after is a supplement post. She'd be doing all of it anyway. The only thing she changed was pointing the phone the right way and letting AI turn one week of her actual life into a month of content for the brands behind it. Here's the mechanism. She films her week - no script, no shoot day, just her life. AI cuts it into 20+ reels, writes every caption in each brand's voice, builds the calendar, sends the report that renews the deal. The part that used to need an editor, a writer, a strategist, and a manager is now one chat window. She kept the only thing AI can't do: actually being there, living it. Seven brands across her hobbies. ~$3,200 each. $22,000 a month - at 21, from a phone and a $40 stack of AI. Her cost doesn't move whether she has one brand or ten. That's the whole business. Everyone her age is filming the exact same life and posting it for free, calling it a personal brand. She pointed hers at the brands that pay and let the system carry the 90% that used to cost a five-person agency. This is the part that should sting: the footage was never the hard part, she'd have shot it regardless. The team around it was. And that team just collapsed into a subscription. The full playbook - niches, how to find brands, how to close them is right below. Save it before someone half your motivation reads it first👇
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She's 21. She makes $22,000 a month doing nothing, but filming her own life - the gym, the surf, the climbing, the run and letting AI do the rest. She's not a model. She doesn't sell a course. She just lives a full life on camera and every single hobby is a brand category that's desperate for content. The surf clip is a wakeboard brand's ad. The climbing gym wants the bouldering footage. The track session is an activewear drop. The smoothie after is a supplement post. She'd be doing all of it anyway. The only thing she changed was pointing the phone the right way and letting AI turn one week of her actual life into a month of content for the brands behind it. Here's the mechanism. She films her week - no script, no shoot day, just her life. AI cuts it into 20+ reels, writes every caption in each brand's voice, builds the calendar, sends the report that renews the deal. The part that used to need an editor, a writer, a strategist, and a manager is now one chat window. She kept the only thing AI can't do: actually being there, living it. Seven brands across her hobbies. ~$3,200 each. $22,000 a month - at 21, from a phone and a $40 stack of AI. Her cost doesn't move whether she has one brand or ten. That's the whole business. Everyone her age is filming the exact same life and posting it for free, calling it a personal brand. She pointed hers at the brands that pay and let the system carry the 90% that used to cost a five-person agency. This is the part that should sting: the footage was never the hard part, she'd have shot it regardless. The team around it was. And that team just collapsed into a subscription. The full playbook - niches, how to find brands, how to close them is right below. Save it before someone half your motivation reads it first👇

Rich

32,535 次观看 • 2 个月前

WTF, GROK BOT JUST MADE AI AGENTS AVAILABLE TO LITERALLY ANYONE – CREATING CONTENT HAS NEVER BEEN THIS EASY, EVEN IF YOU'VE NEVER MADE ANYTHING BEFORE Content was never a talent problem. It's a headcount problem. One person doing research, design, copy, analytics, timing and publishing – that's six jobs. The switching between them is what kills consistency, not a lack of ideas. Here's what one of these setups actually looks like. A Chief of Staff sits in the middle and routes every task. Nothing lands on the human. → Researcher tracks what's actually moving and pulls real sources instead of guesswork → Writer turns that research into finished copy, ready to review → Visualiser gets fed a few reference visuals once, then ships everything in that style → Analyst reads the numbers and tells the rest of the team what worked → Scheduler owns timing and holds the queue → Publisher ships it The part that makes it work: every agent on Grok Bot gets its own persistent computer, browser and file system – and they all share memory. So the research is already sitting inside the draft before the draft starts. No copy-pasting between tools. No approving every step. No human in the middle. You can even teach an agent a repetitive task by recording yourself doing it once. Start recording, do the thing, stop. It learns the pattern. And that's the real shift. Nobody needs AI to tell them what to post. They need it to delete the 40 steps between the idea and the post. Everyone has a backlog of things they've meant to make for months. This is what starts clearing it. Full breakdown of the setup in the article below ↓
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WTF, GROK BOT JUST MADE AI AGENTS AVAILABLE TO LITERALLY ANYONE – CREATING CONTENT HAS NEVER BEEN THIS EASY, EVEN IF YOU'VE NEVER MADE ANYTHING BEFORE Content was never a talent problem. It's a headcount problem. One person doing research, design, copy, analytics, timing and publishing – that's six jobs. The switching between them is what kills consistency, not a lack of ideas. Here's what one of these setups actually looks like. A Chief of Staff sits in the middle and routes every task. Nothing lands on the human. → Researcher tracks what's actually moving and pulls real sources instead of guesswork → Writer turns that research into finished copy, ready to review → Visualiser gets fed a few reference visuals once, then ships everything in that style → Analyst reads the numbers and tells the rest of the team what worked → Scheduler owns timing and holds the queue → Publisher ships it The part that makes it work: every agent on Grok Bot gets its own persistent computer, browser and file system – and they all share memory. So the research is already sitting inside the draft before the draft starts. No copy-pasting between tools. No approving every step. No human in the middle. You can even teach an agent a repetitive task by recording yourself doing it once. Start recording, do the thing, stop. It learns the pattern. And that's the real shift. Nobody needs AI to tell them what to post. They need it to delete the 40 steps between the idea and the post. Everyone has a backlog of things they've meant to make for months. This is what starts clearing it. Full breakdown of the setup in the article below ↓

SCOTTY BEAM

4,765,092 次观看 • 6 天前

There's an open-source home robot vacuum you can actually build yourself. It's called OOMWOO. Runs on a Raspberry Pi with 2D LiDAR mapping, ROS2 navigation, and native Home Assistant integration. No cloud dependency, no vendor lock-in. The team spent real time researching before designing it. They reviewed the entire 2025-2026 robot vacuum market, from budget to flagship, and found real-world cleaning doesn't track advertised suction power. The anti-tangle brush design alone is worth mentioning. A tapered rubber roller that resists hair-wrap, one of the most common complaints with commercial models, easy to 3D-print yourself. If you've got a Raspberry Pi and a 3D printer sitting around, this is a genuinely interesting weekend project.
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There's an open-source home robot vacuum you can actually build yourself. It's called OOMWOO. Runs on a Raspberry Pi with 2D LiDAR mapping, ROS2 navigation, and native Home Assistant integration. No cloud dependency, no vendor lock-in. The team spent real time researching before designing it. They reviewed the entire 2025-2026 robot vacuum market, from budget to flagship, and found real-world cleaning doesn't track advertised suction power. The anti-tangle brush design alone is worth mentioning. A tapered rubber roller that resists hair-wrap, one of the most common complaints with commercial models, easy to 3D-print yourself. If you've got a Raspberry Pi and a 3D printer sitting around, this is a genuinely interesting weekend project.

Oliver Prompts

583,740 次观看 • 21 天前

SOMEONE BUILT A VIRTUAL CAMERA THAT LOOPS A CLIP OF YOU LOOKING PRESENT SO YOU CAN LEAVE MID MEETING it records a few seconds of you looking engaged, then loops it through a fake webcam you pick once in zoom, google meet, slack or teams. one hotkey swaps your live feed for the loop, another brings you back. your audio stays on the whole time so you can step away for a minute without becoming the frozen black tile everyone notices > shows up as a real camera in every app, no screen share hacks > the loop doesnt read as a loop, it injects tiny stutters and catch up hitches so it looks like a slightly flaky connection > swap in and out instantly with a hotkey > universal, notarized, about 5mb, works on macos the fake bad connection detail is absolutely the evil genius part a frozen frame gets caught immediately but a feed that stutters like bad wifi is something nobody questions
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SOMEONE BUILT A VIRTUAL CAMERA THAT LOOPS A CLIP OF YOU LOOKING PRESENT SO YOU CAN LEAVE MID MEETING it records a few seconds of you looking engaged, then loops it through a fake webcam you pick once in zoom, google meet, slack or teams. one hotkey swaps your live feed for the loop, another brings you back. your audio stays on the whole time so you can step away for a minute without becoming the frozen black tile everyone notices > shows up as a real camera in every app, no screen share hacks > the loop doesnt read as a loop, it injects tiny stutters and catch up hitches so it looks like a slightly flaky connection > swap in and out instantly with a hotkey > universal, notarized, about 5mb, works on macos the fake bad connection detail is absolutely the evil genius part a frozen frame gets caught immediately but a feed that stutters like bad wifi is something nobody questions

Om Patel

123,301 次观看 • 2 个月前