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Today we are showing two humanoid robots performing collaborative grocery storage A single set of Helix neural network weights runs simultaneously on two robots They then work together to put away groceries neither robot has ever seen before

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Brett Adcock

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35,345 Aufrufe • vor 1 Jahr •via X (Twitter)

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Progress on NEO’s AI has been really fast of late. Here are some early clips of a generalist model we’re developing at 1X. The following clips are 100% autonomous, running on a single set of neural network weights. First, a quiet little robot that picks up leaves and puts them in a bag.
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BOOM! Humanoid Robots Just Performed Surgery for the First Time! REAL VIDEO! In a groundbreaking preclinical breakthrough, researchers at UC San Diego have achieved what many thought was years away: teleoperated humanoid robots successfully completing live surgeries. Published in Nature, the study marks the world’s first use of humanoid robots for in-vivo laparoscopic procedures on large animals (pigs). Two separate surgeries were completed: Key Details •. Procedure: Laparoscopic gallbladder removal (cholecystectomy) •. Team 1: Human surgeon + one humanoid robot (the robot performed core tasks while the human assisted) •. Team 2: Two humanoid robots working together with no human at the operating table •. Robots: Custom “Surgie” humanoids (~5 ft tall, ~60 lbs) using standard surgical tools •. Control: Fully teleoperated by surgeons (remote human control, not autonomous) •. Significance: First demonstration of humanoid robots handling real surgical workflows in a live setting, proving compatibility with existing OR tools and spaces This proof shows humanoid robots could one day help address surgeon shortages, enable remote procedures in rural areas, battlefields, or even space all at a fraction of the cost and space of traditional surgical robots like da Vinci. Read the full publication here: Project page with video: The future of surgery just got a whole lot more interesting. And medical cost for the first time in decades will be scheduled to go down, much further down.
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BOOM! Humanoid Robots Just Performed Surgery for the First Time! REAL VIDEO! In a groundbreaking preclinical breakthrough, researchers at UC San Diego have achieved what many thought was years away: teleoperated humanoid robots successfully completing live surgeries. Published in Nature, the study marks the world’s first use of humanoid robots for in-vivo laparoscopic procedures on large animals (pigs). Two separate surgeries were completed: Key Details •. Procedure: Laparoscopic gallbladder removal (cholecystectomy) •. Team 1: Human surgeon + one humanoid robot (the robot performed core tasks while the human assisted) •. Team 2: Two humanoid robots working together with no human at the operating table •. Robots: Custom “Surgie” humanoids (~5 ft tall, ~60 lbs) using standard surgical tools •. Control: Fully teleoperated by surgeons (remote human control, not autonomous) •. Significance: First demonstration of humanoid robots handling real surgical workflows in a live setting, proving compatibility with existing OR tools and spaces This proof shows humanoid robots could one day help address surgeon shortages, enable remote procedures in rural areas, battlefields, or even space all at a fraction of the cost and space of traditional surgical robots like da Vinci. Read the full publication here: Project page with video: The future of surgery just got a whole lot more interesting. And medical cost for the first time in decades will be scheduled to go down, much further down.

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Imagine showing Nikola Tesla a Falcon rocket landing itself, a global satellite network beaming internet from space, humanoid robots walking around, self-driving cars, and a serious plan to put humans on Mars. He wouldn’t believe it. Then imagine telling him one man helped build all of it. The future arrived!
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Imagine showing Nikola Tesla a Falcon rocket landing itself, a global satellite network beaming internet from space, humanoid robots walking around, self-driving cars, and a serious plan to put humans on Mars. He wouldn’t believe it. Then imagine telling him one man helped build all of it. The future arrived!

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40,583 Aufrufe • vor 1 Monat

Elon Musk today on Optimus robot: "You’ve probably seen a lot of impressive demos of robots on the internet, but those demonstrations are pre-programmed or remote-controlled. There is no humanoid robot that can actually do generalized tasks. Optimus will be the first one that will be capable of doing that, in just a demo, it’s generally useful in day-to-day life."
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Qualia has been selected for the Google DeepMind Robotics Program. We train embodied models that put a robot on a real manual task and make it work, on the floor, not in a demo. Foundation models and reasoning are where robotics is heading, and doing that work alongside DeepMind, who are pushing this frontier, is exactly where we want to be. If you are a company looking to see how a new generation of robots can help your manual tasks, contact us at hello@qualiastudios.dev More soon
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Qualia has been selected for the Google DeepMind Robotics Program. We train embodied models that put a robot on a real manual task and make it work, on the floor, not in a demo. Foundation models and reasoning are where robotics is heading, and doing that work alongside DeepMind, who are pushing this frontier, is exactly where we want to be. If you are a company looking to see how a new generation of robots can help your manual tasks, contact us at [email protected] More soon

Qualia

87,693 Aufrufe • vor 1 Monat

We’ve seen humanoid robots walk around for a while, but when will they actually help with useful tasks in daily life? The challenge here is the diversity and complexity of real-world scenes. Our new work tackles this problem via 3D visuomotor policy learning. Using data from only 1 scene, our Improved 3D Diffusion Policy (iDP3) enables a full-sized humanoid robot to autonomously pick&place objects, pour water, and wipe tables, in the wild open world. (and all these skills are useful, right?) Web: Fully open-sourced code:
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We’ve seen humanoid robots walk around for a while, but when will they actually help with useful tasks in daily life? The challenge here is the diversity and complexity of real-world scenes. Our new work tackles this problem via 3D visuomotor policy learning. Using data from only 1 scene, our Improved 3D Diffusion Policy (iDP3) enables a full-sized humanoid robot to autonomously pick&place objects, pour water, and wipe tables, in the wild open world. (and all these skills are useful, right?) Web: Fully open-sourced code:

Yanjie Ze

75,271 Aufrufe • vor 1 Jahr

There are currently 61 humanoid companies spanning 13 countries with a total of 88 humanoids Spent my free time creating an extensive display of humanoid companies to learn the current landscape Opinions: - Super saturated, every developed country fund and build humanoid robots, even developing countries like Vietnam has their own humanoid. - Software is the moat. Breakthrough in software will explode adaptation of robots in both consumer and industry. Observation: - Naming: Robots tends to be named in the following formula: Name + Generation (i.e. MagicBot Gen 1, Vanar Gen 1) or Name + Random Letter + Number (i.e. Jaka K1, Kinisi 01, Unitree G1). - Two diversion in use case: One side focus on utility (Figure, X1, etc.), the other focus on companionship (Enchanted Tools, Andromeda, etc.) Category imo: - Unique Design: Fourier, Enchanted Tools, Slightly Overdone Robotics, Pollen Robotics. - Unique Actuator: Clone Robotics - Best Capabilities: too soon to tell, too much online cherry picked demos instead of real life demonstration. - Most Natural Motion: Cartwheel Robotics, Pollen Robotics. - Highest Cost: Tesla. Hmu or comment below if you want the list.
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Binh Pham

65,656 Aufrufe • vor 10 Monaten

Imagine you go to a store and you want to buy candy. The shopkeeper knows you're a real kid because they can see you standing right there. Now imagine you send a robot to buy candy for you. The shopkeeper looks at the robot and thinks: wait, who sent this? Is this robot allowed to buy candy? What if someone else's robot pretends to be yours and steals your candy money? That's basically what's happening with AI right now. Companies like Visa let people buy things all over the world. But now, smart computer robots (AI agents) want to buy things too. Shop around, compare prices, even pay for stuff. Visa looked at this and said: nope, not yet. Because they have no way to check if the robot is real, who it belongs to, or if it's allowed to spend that money. The problem is that all the rules we have for checking identity - showing your ID, scanning your face, typing your password - only work for humans. Robots can't do any of that. Worse, bad robots can actually copy and fake human identities really well. So Evin McMullen evin, Billions Network co-founder and CEO, says we need a new kind of ID system. One where you can prove something is true without showing all your private stuff. Like proving you're tall enough for a ride without telling anyone your exact height. That's called zero-knowledge proof. And for the robots specifically, we need something called KYA - Know Your Agent. It's like giving every robot its own ID card that says: this is who I am, this is what I'm allowed to do, and this is the human responsible for me. Until we build that, the robot economy can't really get going. Here is Evin’s Thought Leader article at Silicon Valleys Journal
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Imagine you go to a store and you want to buy candy. The shopkeeper knows you're a real kid because they can see you standing right there. Now imagine you send a robot to buy candy for you. The shopkeeper looks at the robot and thinks: wait, who sent this? Is this robot allowed to buy candy? What if someone else's robot pretends to be yours and steals your candy money? That's basically what's happening with AI right now. Companies like Visa let people buy things all over the world. But now, smart computer robots (AI agents) want to buy things too. Shop around, compare prices, even pay for stuff. Visa looked at this and said: nope, not yet. Because they have no way to check if the robot is real, who it belongs to, or if it's allowed to spend that money. The problem is that all the rules we have for checking identity - showing your ID, scanning your face, typing your password - only work for humans. Robots can't do any of that. Worse, bad robots can actually copy and fake human identities really well. So Evin McMullen evin, Billions Network co-founder and CEO, says we need a new kind of ID system. One where you can prove something is true without showing all your private stuff. Like proving you're tall enough for a ride without telling anyone your exact height. That's called zero-knowledge proof. And for the robots specifically, we need something called KYA - Know Your Agent. It's like giving every robot its own ID card that says: this is who I am, this is what I'm allowed to do, and this is the human responsible for me. Until we build that, the robot economy can't really get going. Here is Evin’s Thought Leader article at Silicon Valleys Journal

Billions Network

21,775 Aufrufe • vor 5 Monaten

China now has its own “Bolt” — a robot named after sprint legend Usain Bolt. A Chinese research team has unveiled the world’s first full-size humanoid robot to reach a peak speed of 10 meters per second, setting a new global benchmark for humanoid running. Bolt runs like a body pushed to the limit. Its joints and power systems work in tight coordination, keeping it balanced even at sprint speed. Built to match the build of an adult man—1.75 meters tall and 75 kilograms—it is a life-sized system operating at the edge of physics. Compared with Usain Bolt’s iconic 9.58-second 100-meter world record, which many experts believe may stand for decades, the gap between humans and machines is narrowing fast. Chinese robots are now challenging the ceiling of human performance—much as AlphaGo once challenged Go champion Ke Jie. The breakthrough builds on earlier world-record achievements in high-speed robotic running and marks a giant leap for China in humanoid motion and control. Beyond records, Bolt also carries practical value: robots are leaving the lab and stepping into real-world settings—sports training, emergency response, and demanding industrial tasks where speed, balance and control truly matter.
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China now has its own “Bolt” — a robot named after sprint legend Usain Bolt. A Chinese research team has unveiled the world’s first full-size humanoid robot to reach a peak speed of 10 meters per second, setting a new global benchmark for humanoid running. Bolt runs like a body pushed to the limit. Its joints and power systems work in tight coordination, keeping it balanced even at sprint speed. Built to match the build of an adult man—1.75 meters tall and 75 kilograms—it is a life-sized system operating at the edge of physics. Compared with Usain Bolt’s iconic 9.58-second 100-meter world record, which many experts believe may stand for decades, the gap between humans and machines is narrowing fast. Chinese robots are now challenging the ceiling of human performance—much as AlphaGo once challenged Go champion Ke Jie. The breakthrough builds on earlier world-record achievements in high-speed robotic running and marks a giant leap for China in humanoid motion and control. Beyond records, Bolt also carries practical value: robots are leaving the lab and stepping into real-world settings—sports training, emergency response, and demanding industrial tasks where speed, balance and control truly matter.

Sinical

111,374 Aufrufe • vor 6 Monaten

CES was an enormous success. We saw thousands of people and a few dogs interacting with our agents and robots. We booked this booth at the last minute, mainly to book next year’s booth. Truly extraordinary what our team was able to put together on such short notice. Next year we reserved one of the largest booths at CES in the highest traffic location for AI and Robotics. We plan to unveil something extraordinary. Until the next show, we will be debuting the first custom models that will emerge from the first humanoid robotics hot rod shop. These models will be walking around, talking and interacting at tradeshows all over the world over the next few months. We are in the process of acquiring every humanoid robot available on the market to modify these as well. Stay tuned for more updates, the future is here and it’s rapidly accelerating.
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CES was an enormous success. We saw thousands of people and a few dogs interacting with our agents and robots. We booked this booth at the last minute, mainly to book next year’s booth. Truly extraordinary what our team was able to put together on such short notice. Next year we reserved one of the largest booths at CES in the highest traffic location for AI and Robotics. We plan to unveil something extraordinary. Until the next show, we will be debuting the first custom models that will emerge from the first humanoid robotics hot rod shop. These models will be walking around, talking and interacting at tradeshows all over the world over the next few months. We are in the process of acquiring every humanoid robot available on the market to modify these as well. Stay tuned for more updates, the future is here and it’s rapidly accelerating.

Parallel

16,854 Aufrufe • vor 1 Jahr

It's 2030 and you are reviewing humanoid robots. A Tesla. A Google. An Apple. An OpenAI. A Meta. A Figure. And a bunch of Chinese-made ones. Which one is best, and why? I think the Tesla understands the world much better. Why? There were eight Teslas around me on the freeway today. Start there. No other robot company has that data. But my robot is parked at the local high school twice a day. Its cameras see humans in all of our weirdness. How we move. Where we go. Where we walk. Who we talk with. What you are wearing. Whether your hair was combed this morning. That data will lead to robotics breakthroughs. Apple might keep up with its Vision Pro data, but it is too freaked out by the privacy implications of using said data. (On the front are six cameras and a couple of TOF -- Time Of Flight -- sensors that can see everything in your home in great detail). Google has a lot of data, for sure. All my: 1. Email. 2. Calendars. 3. Photos. 4. TV watching behavior. 5. Contacts. 6. Documents and spreadsheets. 7. Files. 8. Location data. So I expect Google's robot will be attractive to many. But how do you see the others shake out over the next five years? Make some guesses. But remember what an AI pioneer told me years ago about AI: it's all about the data. The Chinese ones have huge advantages: the Chinese have more data on their citizens, and many more citizens to boot AND they can make robots cheaper than we can. But now that you know OpenAI is building its own robot you have caught wind of what I've heard from many in San Francisco and Silicon Valley: that humanoid robots are the real prize of AI and will be highly profitable for those that can make them and find customers willing to buy them. Here, too, I learned long ago never to bet against Elon Musk. Will you?
0:16

It's 2030 and you are reviewing humanoid robots. A Tesla. A Google. An Apple. An OpenAI. A Meta. A Figure. And a bunch of Chinese-made ones. Which one is best, and why? I think the Tesla understands the world much better. Why? There were eight Teslas around me on the freeway today. Start there. No other robot company has that data. But my robot is parked at the local high school twice a day. Its cameras see humans in all of our weirdness. How we move. Where we go. Where we walk. Who we talk with. What you are wearing. Whether your hair was combed this morning. That data will lead to robotics breakthroughs. Apple might keep up with its Vision Pro data, but it is too freaked out by the privacy implications of using said data. (On the front are six cameras and a couple of TOF -- Time Of Flight -- sensors that can see everything in your home in great detail). Google has a lot of data, for sure. All my: 1. Email. 2. Calendars. 3. Photos. 4. TV watching behavior. 5. Contacts. 6. Documents and spreadsheets. 7. Files. 8. Location data. So I expect Google's robot will be attractive to many. But how do you see the others shake out over the next five years? Make some guesses. But remember what an AI pioneer told me years ago about AI: it's all about the data. The Chinese ones have huge advantages: the Chinese have more data on their citizens, and many more citizens to boot AND they can make robots cheaper than we can. But now that you know OpenAI is building its own robot you have caught wind of what I've heard from many in San Francisco and Silicon Valley: that humanoid robots are the real prize of AI and will be highly profitable for those that can make them and find customers willing to buy them. Here, too, I learned long ago never to bet against Elon Musk. Will you?

Robert Scoble

33,804 Aufrufe • vor 1 Jahr

Even Bloomberg and Reuters—two of the most relentlessly anti-China media outlets—could not avoid revealing the truth in their own question: The U.S. Federal Communications Commission announced a ban on imports of humanoid robots without naming any country. Yet China is currently the dominant supplier. What is China’s response? The funniest part is this: China holds six of the world’s ten most innovative humanoid-robotics start-ups, including a clean sweep of the top five, while the United States is falling behind. So competition was renamed “national security.” China’s response was unusually direct: Protectionism will not make the United States more competitive. It will only hurt American companies and consumers. The message is simple. If American robotics were genuinely competitive, Washington would not need to remove Chinese firms from the market by decree. A ban may keep Chinese robots out of America. It will not stop Chinese companies from dominating the rest of the world. You can close your market. You cannot legislate away an industrial trend. America is not banning Chinese robots because they failed. It is banning them because American robots did.
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Even Bloomberg and Reuters—two of the most relentlessly anti-China media outlets—could not avoid revealing the truth in their own question: The U.S. Federal Communications Commission announced a ban on imports of humanoid robots without naming any country. Yet China is currently the dominant supplier. What is China’s response? The funniest part is this: China holds six of the world’s ten most innovative humanoid-robotics start-ups, including a clean sweep of the top five, while the United States is falling behind. So competition was renamed “national security.” China’s response was unusually direct: Protectionism will not make the United States more competitive. It will only hurt American companies and consumers. The message is simple. If American robotics were genuinely competitive, Washington would not need to remove Chinese firms from the market by decree. A ban may keep Chinese robots out of America. It will not stop Chinese companies from dominating the rest of the world. You can close your market. You cannot legislate away an industrial trend. America is not banning Chinese robots because they failed. It is banning them because American robots did.

𝘊𝘰𝘳𝘳𝘪𝘯𝘦

36,215 Aufrufe • vor 8 Tagen

NEW ROBOT: SOLAR PANEL DEPLOYER 🌞 San Francisco Gritt (a.k.a. Gritt AI) is probably one of the hottest robotics startups you have never heard of. Founded in 2023 by two CMU roboticists, it came out of stealth on July 21, 2026 with a $26M Series A ,led by Obvious Ventures . Gritt does not make robots. It bolts an off-the-shelf Kawasaki robotic arm onto heavy equipment for construction, and runs its own AI to unload utility-scale solar panels. They also carry them, and set them onto metal racking with sub-millimeter precision. A human then has to fasten them. It replaces the manual overhead lifting of ~100-lb glass panels on solar farms. Solar is for now their only market, but they will expand to data centers (of course) and other large infrastructures. Solar was chosen first because it's the most factory-like task on an outdoor site. Gritt is making the bet on buying, while most of its competitors are building the robots. Their own capex is therefore near-zero, and moves the scaling constraint to ops crews and software -> it does not make it necessarily easier! All depends where your strengths lie. Gritt has currently two systems deployed in the field, over signed contracts to install ~2.8–3 GW of solar over 18 months. They plan to reach 48 systems within six months -> a ~24× deployment ramp in half a year! Gritt says the first skills took weeks to train but rebar tying took a single day on the same software pipeline after the solar work. That's a ~10–30× drop in per-skill training cost! And goes against the idea that deployment data is near-worthless, since novelty is the scarce input. Also worth mentioning: Gritt has a Chinese competitors, Trinabot. Trinabot is vertically integrated: tied to Trina, a giant Chinese solar-panel maker. Make the panel and the robot that installs it, while Gritt's hardware-agnostic. Interesting to see another example where China integrates manufacturing plus robot, and the US startup goes capex-light software on rented equipment.
0:16

NEW ROBOT: SOLAR PANEL DEPLOYER 🌞 San Francisco Gritt (a.k.a. Gritt AI) is probably one of the hottest robotics startups you have never heard of. Founded in 2023 by two CMU roboticists, it came out of stealth on July 21, 2026 with a $26M Series A ,led by Obvious Ventures . Gritt does not make robots. It bolts an off-the-shelf Kawasaki robotic arm onto heavy equipment for construction, and runs its own AI to unload utility-scale solar panels. They also carry them, and set them onto metal racking with sub-millimeter precision. A human then has to fasten them. It replaces the manual overhead lifting of ~100-lb glass panels on solar farms. Solar is for now their only market, but they will expand to data centers (of course) and other large infrastructures. Solar was chosen first because it's the most factory-like task on an outdoor site. Gritt is making the bet on buying, while most of its competitors are building the robots. Their own capex is therefore near-zero, and moves the scaling constraint to ops crews and software -> it does not make it necessarily easier! All depends where your strengths lie. Gritt has currently two systems deployed in the field, over signed contracts to install ~2.8–3 GW of solar over 18 months. They plan to reach 48 systems within six months -> a ~24× deployment ramp in half a year! Gritt says the first skills took weeks to train but rebar tying took a single day on the same software pipeline after the solar work. That's a ~10–30× drop in per-skill training cost! And goes against the idea that deployment data is near-worthless, since novelty is the scarce input. Also worth mentioning: Gritt has a Chinese competitors, Trinabot. Trinabot is vertically integrated: tied to Trina, a giant Chinese solar-panel maker. Make the panel and the robot that installs it, while Gritt's hardware-agnostic. Interesting to see another example where China integrates manufacturing plus robot, and the US startup goes capex-light software on rented equipment.

Léo

41,884 Aufrufe • vor 7 Tagen

The whole process of putting together the "I hate cowboys" record and the "go down singin'" record was a long two years of figuring out how do something I've never done before. All the songs were written on guitar and a depth I haven't really hit before. This is the final piece of that puzzle. "The fireside sessions" are both those albums together, all acoustic, featuring the songwriters from both those records. This time in my career ends with both album covers together with me and my dad standing next to each other. It's the first time I've ever been able to see a picture of us as two grown men. I'm moving on to another album early next year, but I hope y'all love these versions of the songs, as they were written. The bluebird last night was a special way to celebrate the ending of these last two years, and the start of something new👏🏼
0:16

The whole process of putting together the "I hate cowboys" record and the "go down singin'" record was a long two years of figuring out how do something I've never done before. All the songs were written on guitar and a depth I haven't really hit before. This is the final piece of that puzzle. "The fireside sessions" are both those albums together, all acoustic, featuring the songwriters from both those records. This time in my career ends with both album covers together with me and my dad standing next to each other. It's the first time I've ever been able to see a picture of us as two grown men. I'm moving on to another album early next year, but I hope y'all love these versions of the songs, as they were written. The bluebird last night was a special way to celebrate the ending of these last two years, and the start of something new👏🏼

Chase Rice

24,346 Aufrufe • vor 1 Jahr

Mark Cuban just explained AI better than ANYONE in silicon valley has all year… a tool. a way to learn. the biggest democratization of knowledge we've ever seen. but he's also splitting people into two camps. >ones who use AI so they don't have to learn anything. >ones who use it so they have the opportunity to learn everything. this split is going to define the next decade of careers. which side are you on?
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Mark Cuban just explained AI better than ANYONE in silicon valley has all year… a tool. a way to learn. the biggest democratization of knowledge we've ever seen. but he's also splitting people into two camps. >ones who use AI so they don't have to learn anything. >ones who use it so they have the opportunity to learn everything. this split is going to define the next decade of careers. which side are you on?

Damian Player

272,566 Aufrufe • vor 5 Monaten

Today I’m working on a painting of my mother sleeping the last part of her life away. Randomly her favourite folk song comes up on my music while I’m painting. Then a butterfly flies into my studio. I have to take a moment because I’ve just realised fully that this is my way of saying goodbye. I’m painting my goodbye to a woman who can’t see anymore and for the first time I shed a tear or two. We are all so bloody fragile aren’t we?
0:19

Today I’m working on a painting of my mother sleeping the last part of her life away. Randomly her favourite folk song comes up on my music while I’m painting. Then a butterfly flies into my studio. I have to take a moment because I’ve just realised fully that this is my way of saying goodbye. I’m painting my goodbye to a woman who can’t see anymore and for the first time I shed a tear or two. We are all so bloody fragile aren’t we?

Liza Adamczewski or the accidental ecologist

15,263 Aufrufe • vor 27 Tagen

We are happy to announce Blazpay latest campaign on Galxe with our Co-Host Manta Network (🔱,🔱) . BlazpayX Manta - Mint ,Stake and Earn Check out our galxe to get hold of Manta Entry Pass Start your jouney now - Mint this Entry pass for even less than a cent and stake your NFT in our Dashboard enjoy the unlimited benefits it brings with it . Let's put Manta network to the ultimate test In a way no one has ever done before . GUIDE -
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Blazpay

49,519 Aufrufe • vor 2 Jahren

Two best friends, both 22. They film their workouts, AI edits everything, and brands pay them around $6,800 a month — combined. Here's how splitting the work doubled the income. They started the way most people do: training together anyway, filming a little for fun. The difference came from noticing what solo creators never can — two people in one frame is a different product entirely. Here's why brands pay more for a duo. A girl training alone is content. Two friends training together is a story — the spotting, the laughing between sets, the shared routine people wish they had. Viewers don't just want the workout; they want a gym friend. That feeling gets saved, shared, and tagged: "us." Tags are free distribution, and duo content collects them at a rate solo clips never touch. The production splits clean. One phone, propped low. They train like they always did — one on the treadmill while the other lifts, then swap. AI takes the raw footage and handles the rest: cuts, captions, on-screen text, scheduling across platforms. Neither of them has opened an editor. The channel runs on friendship plus a system. The money, split honestly. An activewear brand pays ~$2,800/month — two matching outfits in every clip is double the catalog space. A supplement brand adds ~$2,400 for the same reason: two credible users beat one ambassador. Creator payouts and affiliate links on the gear stack roughly $1,600 more. About $6,800 a month, divided two ways — $3,400 each, at 22, for training they were doing together regardless. Tools: ~$40, also split. The part worth stealing: everyone waits until they're "ready" to create alone. These two skipped that entirely. The friend you already train with is a co-founder you haven't asked yet. Full playbook below👇
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Two best friends, both 22. They film their workouts, AI edits everything, and brands pay them around $6,800 a month — combined. Here's how splitting the work doubled the income. They started the way most people do: training together anyway, filming a little for fun. The difference came from noticing what solo creators never can — two people in one frame is a different product entirely. Here's why brands pay more for a duo. A girl training alone is content. Two friends training together is a story — the spotting, the laughing between sets, the shared routine people wish they had. Viewers don't just want the workout; they want a gym friend. That feeling gets saved, shared, and tagged: "us." Tags are free distribution, and duo content collects them at a rate solo clips never touch. The production splits clean. One phone, propped low. They train like they always did — one on the treadmill while the other lifts, then swap. AI takes the raw footage and handles the rest: cuts, captions, on-screen text, scheduling across platforms. Neither of them has opened an editor. The channel runs on friendship plus a system. The money, split honestly. An activewear brand pays ~$2,800/month — two matching outfits in every clip is double the catalog space. A supplement brand adds ~$2,400 for the same reason: two credible users beat one ambassador. Creator payouts and affiliate links on the gear stack roughly $1,600 more. About $6,800 a month, divided two ways — $3,400 each, at 22, for training they were doing together regardless. Tools: ~$40, also split. The part worth stealing: everyone waits until they're "ready" to create alone. These two skipped that entirely. The friend you already train with is a co-founder you haven't asked yet. Full playbook below👇

Rich

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