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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...

48,664 views • 15 days ago •via X (Twitter)

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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 views • 1 month ago

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 views • 1 month ago

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 views • 1 month ago