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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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Bad ventilation can make your thinking scores drop by half. That's what a Harvard study found looking at indoor air quality and carbon dioxide levels. Same brain, worse air, worse thinking. This video shows us three rooms, each modeled system by system in Revit before construction starts. A mechanical room with the heat pump and main lines. A living room with ducts planned above the ceiling. A bathroom with the whole network overhead. If you mess up the living room ducts, you end up with that common issue: a hot bedroom and a cold kitchen. If the bathroom setup is wrong, moisture can't escape, and that's how mold grows behind the walls. It's cheap to fix these mistakes in the design phase. Move a line, change a size, done in a minute. Fix the same mistake after the walls are up and it usually runs $1,500 to $9,000 in a regular house. Engineers have a term for this: the 1-10-100 rule. A mistake costs $1 during design, $10 after it's built, and $100 once people are living in the house. AI can already check ductwork designs. The next step: building them with a sentence.
0:13

Bad ventilation can make your thinking scores drop by half. That's what a Harvard study found looking at indoor air quality and carbon dioxide levels. Same brain, worse air, worse thinking. This video shows us three rooms, each modeled system by system in Revit before construction starts. A mechanical room with the heat pump and main lines. A living room with ducts planned above the ceiling. A bathroom with the whole network overhead. If you mess up the living room ducts, you end up with that common issue: a hot bedroom and a cold kitchen. If the bathroom setup is wrong, moisture can't escape, and that's how mold grows behind the walls. It's cheap to fix these mistakes in the design phase. Move a line, change a size, done in a minute. Fix the same mistake after the walls are up and it usually runs $1,500 to $9,000 in a regular house. Engineers have a term for this: the 1-10-100 rule. A mistake costs $1 during design, $10 after it's built, and $100 once people are living in the house. AI can already check ductwork designs. The next step: building them with a sentence.

Solvaix

11,201 Aufrufe • vor 25 Tagen

⚠️ 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

365,359 Aufrufe • vor 1 Monat

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.

105,419 Aufrufe • vor 2 Monaten

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 Aufrufe • vor 1 Jahr

⚠️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 Aufrufe • vor 1 Monat

THE STREET ADDRESS ON THE BANNER IS THE ONLY REAL THING HERE A girl waits in line at a food tent, phone in hand, chatting with the cashier over the counter. Behind her: hand-lettered menu boards, a "SOLD OUT :(" sign, and a full suite number printed on the banner like it belongs to a real receipt. None of it happened - not the order, not the laugh from behind the register, not her standing at that counter. - A precise address is a harder tell than a face A generic food stand reads as generic - nobody can check it. This one prints an exact suite number nobody adds for style, only to ground a transaction that never happened inside a business that can actually be looked up. That detail either belongs to someone with no idea this exists, or points nowhere at all - and either way, it's checkable by tomorrow. A location this specific isn't an accident. It's the same choice the pipeline in the article below makes on purpose, tool by tool, until five characters feel like they were always standing somewhere real.
0:10

THE STREET ADDRESS ON THE BANNER IS THE ONLY REAL THING HERE A girl waits in line at a food tent, phone in hand, chatting with the cashier over the counter. Behind her: hand-lettered menu boards, a "SOLD OUT :(" sign, and a full suite number printed on the banner like it belongs to a real receipt. None of it happened - not the order, not the laugh from behind the register, not her standing at that counter. - A precise address is a harder tell than a face A generic food stand reads as generic - nobody can check it. This one prints an exact suite number nobody adds for style, only to ground a transaction that never happened inside a business that can actually be looked up. That detail either belongs to someone with no idea this exists, or points nowhere at all - and either way, it's checkable by tomorrow. A location this specific isn't an accident. It's the same choice the pipeline in the article below makes on purpose, tool by tool, until five characters feel like they were always standing somewhere real.

capONE 💎

1,801,613 Aufrufe • vor 18 Tagen

Dyson just shipped a $499 toothbrush with a 100,000-pixel camera and called it oral care. Read the actual claim again: it's not diagnosing anything. It's streaming a macro feed to your phone so you can look and decide. My health build runs six agents for $50-100/month that actually flag things a protein deficit before breakfast, a supplement clash with a prescription, a headache pattern matched 3 for 3. None of that needed a lens. It needed the data already sitting in what you log and what you take. Dyson solved the wrong bottleneck. The camera was never the hard part a $30 dental mirror does the same optics. The hard part is having something on the other end that knows what it's looking at and does something with it. $499 to see your own mouth better. $0 extra to have six agents already reading the rest of you. Guess which one actually gets called "AI."
0:11

Dyson just shipped a $499 toothbrush with a 100,000-pixel camera and called it oral care. Read the actual claim again: it's not diagnosing anything. It's streaming a macro feed to your phone so you can look and decide. My health build runs six agents for $50-100/month that actually flag things a protein deficit before breakfast, a supplement clash with a prescription, a headache pattern matched 3 for 3. None of that needed a lens. It needed the data already sitting in what you log and what you take. Dyson solved the wrong bottleneck. The camera was never the hard part a $30 dental mirror does the same optics. The hard part is having something on the other end that knows what it's looking at and does something with it. $499 to see your own mouth better. $0 extra to have six agents already reading the rest of you. Guess which one actually gets called "AI."

Marko

23,687 Aufrufe • vor 28 Tagen

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

22,458 Aufrufe • vor 2 Monaten

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 Aufrufe • vor 2 Monaten

🚨 NOW: President Trump drops this absolute beauty and it's infuriating Democrats — a gift to the American people with NO taxpayer dollars spent on ballroom construction "The Spectacular Ballroom being built at the White House. Will be the GREATEST of its kind anywhere in the World! Also, it is a Gift to the U.S.A. from me and other American Patriots — No Taxpayer Dollars will be expended in its Construction." The Democrats are LYING claiming it's going to cost us a fortune. It's not. And even the MILITARY wants it for national security reasons. Thanks to SCOTUS, construction is FULL STEAM AHEAD!
0:10

🚨 NOW: President Trump drops this absolute beauty and it's infuriating Democrats — a gift to the American people with NO taxpayer dollars spent on ballroom construction "The Spectacular Ballroom being built at the White House. Will be the GREATEST of its kind anywhere in the World! Also, it is a Gift to the U.S.A. from me and other American Patriots — No Taxpayer Dollars will be expended in its Construction." The Democrats are LYING claiming it's going to cost us a fortune. It's not. And even the MILITARY wants it for national security reasons. Thanks to SCOTUS, construction is FULL STEAM AHEAD!

Eric Daugherty

281,634 Aufrufe • vor 16 Tagen

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 Aufrufe • vor 1 Jahr

$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

65,085 Aufrufe • vor 1 Monat

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 🕺🏻🙌✨/💹🧲

13,637 Aufrufe • vor 2 Monaten

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

104,649 Aufrufe • vor 4 Monaten

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

8,759,598 Aufrufe • vor 2 Monaten

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

40,701 Aufrufe • vor 3 Monaten

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.
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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 Aufrufe • vor 1 Jahr

UNITREE, US OPEN, ONE ROBOT AGAINST AN ACTUAL TENNIS PLAYER, HERE'S WHAT THIS ACTUALLY TESTS Tennis, unlike table tennis, doesn't demand millisecond reaction, it demands trajectory prediction several meters ahead while the ball is still crossing the entire court. ※ ball flight time from serve to return at amateur pace is roughly a second, and in that window the system has to read speed, the bounce angle off the surface, and adjust leg position before contact ※ picking an actual tournament stadium instead of an empty court is a calculated move, the company wants to be associated with an event millions watch, not a lab test ※ the arm holding a racket is loaded differently than in table tennis, the swing is longer and the impact force is higher, meaning the shoulder actuator is working at a different strength range here Every new sport a humanoid steps into isn't a show, it's a public benchmark of its motor skills.
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UNITREE, US OPEN, ONE ROBOT AGAINST AN ACTUAL TENNIS PLAYER, HERE'S WHAT THIS ACTUALLY TESTS Tennis, unlike table tennis, doesn't demand millisecond reaction, it demands trajectory prediction several meters ahead while the ball is still crossing the entire court. ※ ball flight time from serve to return at amateur pace is roughly a second, and in that window the system has to read speed, the bounce angle off the surface, and adjust leg position before contact ※ picking an actual tournament stadium instead of an empty court is a calculated move, the company wants to be associated with an event millions watch, not a lab test ※ the arm holding a racket is loaded differently than in table tennis, the swing is longer and the impact force is higher, meaning the shoulder actuator is working at a different strength range here Every new sport a humanoid steps into isn't a show, it's a public benchmark of its motor skills.

Shredder

47,979 Aufrufe • vor 16 Tagen

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
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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 Aufrufe • vor 2 Monaten

🚨 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?
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🚨 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 Aufrufe • vor 10 Monaten