Loading video...

Video Failed to Load

Go Home

LEONARDO, also called LEO, was built by researchers at Caltech’s Center for Autonomous Systems and Technologies. Its full name means LEgs ONboARD drOne. The idea is simple but unusual: • Build a small biped robot • Give it drone-style thrust • Use the legs for ground contact • Use...

techniahqrobot's profile picture

Techniahqrobot | humanoid robots

15,870 subscribers

135,515 views • 3 months ago •via X (Twitter)

EducationScience & Technology
LIVE

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

THIS ROBOT HAS A DEAD FLY'S BRAIN AND IT WALKS LIKE A FLY scientists sliced the fly into thousands of layers thinner than a virus to copy every wire in its body the fly didn't survive the map did: 166,700 neurons, from the brain all the way down to the legs so somebody built it a new body six metal legs, 18 motors, two camera eyes and a battery strapped to its back no walking code, they just wired the leg neurons into the motors and switched it on > it turned its head and looked straight at the camera > then it walked, three legs down, three legs up, the exact way a real fly does > when someone reached for it, it froze > when the hand got closer, it ran nobody taught it any of that the fly has been dead for years, and its brain still knows how to escape next on the list is a mouse
0:14

THIS ROBOT HAS A DEAD FLY'S BRAIN AND IT WALKS LIKE A FLY scientists sliced the fly into thousands of layers thinner than a virus to copy every wire in its body the fly didn't survive the map did: 166,700 neurons, from the brain all the way down to the legs so somebody built it a new body six metal legs, 18 motors, two camera eyes and a battery strapped to its back no walking code, they just wired the leg neurons into the motors and switched it on > it turned its head and looked straight at the camera > then it walked, three legs down, three legs up, the exact way a real fly does > when someone reached for it, it froze > when the hand got closer, it ran nobody taught it any of that the fly has been dead for years, and its brain still knows how to escape next on the list is a mouse

explos1ve

68,506 views • 6 days ago

THIS ROBOT IS RUNNING ON THE WIRING OF A DEAD FLY. NOT A BRAIN-INSPIRED AI. THE ACTUAL CIRCUITS BIOLOGY BUILT. scientists reconstructed a fruit fly nervous system containing: 166,700 neurons roughly 125 million synapses the circuits responsible for vision, movement and behavior then developers gave that wiring something it was never designed to control: a completely different body. camera input enters the system sensory neurons react signals travel through the reconstructed neural circuits command neurons produce a movement decision and the machine moves. the robot provides the cameras, motors and metal limbs. the fly provides the biological architecture behind part of its behavior. this is not consciousness uploaded into a machine. the robot doesn’t think it is a fly. it doesn’t remember being alive. and the original animal is still dead. but the neural machinery that once controlled six tiny legs can now send commands into an entirely new body. millions of years of evolution designed the wiring. AI reconstructed it. engineers connected it to metal. the fly never came back to life. its nervous system simply found another body. I broke down how a dead brain map became a robot controller below ↓
0:18

THIS ROBOT IS RUNNING ON THE WIRING OF A DEAD FLY. NOT A BRAIN-INSPIRED AI. THE ACTUAL CIRCUITS BIOLOGY BUILT. scientists reconstructed a fruit fly nervous system containing: 166,700 neurons roughly 125 million synapses the circuits responsible for vision, movement and behavior then developers gave that wiring something it was never designed to control: a completely different body. camera input enters the system sensory neurons react signals travel through the reconstructed neural circuits command neurons produce a movement decision and the machine moves. the robot provides the cameras, motors and metal limbs. the fly provides the biological architecture behind part of its behavior. this is not consciousness uploaded into a machine. the robot doesn’t think it is a fly. it doesn’t remember being alive. and the original animal is still dead. but the neural machinery that once controlled six tiny legs can now send commands into an entirely new body. millions of years of evolution designed the wiring. AI reconstructed it. engineers connected it to metal. the fly never came back to life. its nervous system simply found another body. I broke down how a dead brain map became a robot controller below ↓

kozh ./

83,737 views • 7 days ago

166,700 fruit fly neurons are flying a drone around my bedroom. 1 camera watches my open hand and that's the whole input. The panel in the middle is the brain running live 166,700 neurons, 25 million connections, the full reconstructed map of a fruit fly's head. Camera reads the hand, the brain fires, the output becomes throttle. Open palm and it climbs, fist and it holds, drop the hand and it comes down. 4 propellers the size of a coin hanging off a nervous system that belonged to an insect. The honest part this is a computational model, not a resurrected fly, the wiring is biological, the drone is mine, I built the bridge between them. I never wrote flight logic, no PID tuning, no gesture presets, I gave the neurons somewhere to send the signal and they found the ceiling. 11 seconds in, it holds altitude on its own. The fly is dead and it's still flying.
0:15

166,700 fruit fly neurons are flying a drone around my bedroom. 1 camera watches my open hand and that's the whole input. The panel in the middle is the brain running live 166,700 neurons, 25 million connections, the full reconstructed map of a fruit fly's head. Camera reads the hand, the brain fires, the output becomes throttle. Open palm and it climbs, fist and it holds, drop the hand and it comes down. 4 propellers the size of a coin hanging off a nervous system that belonged to an insect. The honest part this is a computational model, not a resurrected fly, the wiring is biological, the drone is mine, I built the bridge between them. I never wrote flight logic, no PID tuning, no gesture presets, I gave the neurons somewhere to send the signal and they found the ceiling. 11 seconds in, it holds altitude on its own. The fly is dead and it's still flying.

Spike 1%

1,048,171 views • 25 days ago

HOLY SH*T, THE WIRING FROM A DEAD FLY’S BRAIN IS NOW DRIVING A TINY ROBOT. not a simulation trapped inside a computer. a physical machine receiving camera input and turning it into movement. scientists reconstructed a fly brain containing: 166,700 neurons roughly 125 million synapses the circuits behind vision, motion and behavior developers then built a loop: camera frame → modeled neural activity → movement command → robot turns, walks or avoids an obstacle the camera supplies the pixels. the fly’s neural wiring decides which pixels matter. this does not mean the fly was revived. the robot is not conscious. it does not understand its surroundings. and there is no tiny mind trapped inside the machine. but the control system is based on biological wiring that evolution spent millions of years refining. the fly is dead. its solution to movement is now walking around in another body. I broke down how 166,700 neurons became a physical controller below ↓
0:14

HOLY SH*T, THE WIRING FROM A DEAD FLY’S BRAIN IS NOW DRIVING A TINY ROBOT. not a simulation trapped inside a computer. a physical machine receiving camera input and turning it into movement. scientists reconstructed a fly brain containing: 166,700 neurons roughly 125 million synapses the circuits behind vision, motion and behavior developers then built a loop: camera frame → modeled neural activity → movement command → robot turns, walks or avoids an obstacle the camera supplies the pixels. the fly’s neural wiring decides which pixels matter. this does not mean the fly was revived. the robot is not conscious. it does not understand its surroundings. and there is no tiny mind trapped inside the machine. but the control system is based on biological wiring that evolution spent millions of years refining. the fly is dead. its solution to movement is now walking around in another body. I broke down how 166,700 neurons became a physical controller below ↓

kozh ./

94,429 views • 13 days ago

A ROBOT JUST FLEW UP, HOVERED IN PLACE, AND GRABBED A GUN OUT OF SOMEONE'S HANDS. 🚀🤖 It stood up, then lifted straight off the ground on a jetpack — arms and legs hanging loose while its body held steady in the air. It tilted side to side, staying balanced without ever touching down. Then a worker walked up and handed it a rifle. Still hovering, the robot reached out, took it, and held it steady. No walking. No running. It just skipped straight to flying.
0:19

A ROBOT JUST FLEW UP, HOVERED IN PLACE, AND GRABBED A GUN OUT OF SOMEONE'S HANDS. 🚀🤖 It stood up, then lifted straight off the ground on a jetpack — arms and legs hanging loose while its body held steady in the air. It tilted side to side, staying balanced without ever touching down. Then a worker walked up and handed it a rifle. Still hovering, the robot reached out, took it, and held it steady. No walking. No running. It just skipped straight to flying.

DN_DEGEN

266,842 views • 10 days ago

Not every hitter needs to “get into their legs.” Ryan Costello had always been coached to sit deeper into his legs and heels. But when you watch his swing, something stands out. He immediately comes out of his legs and moves toward the front leg. Through assessment we identified a few key things: • Best balance point: right forefoot • Axis of rotation: front leg • Limited hip/shoulder separation • Power produced primarily through the shoulders The adjustment wasn’t getting deeper into the legs. It was allowing him to organize around the front leg instead of fighting it. So far this season: 9 HR. It wasn’t a strength issue. It was coordination and balance. Different hitters coordinate balance differently. How often are we asking players to move in ways their body doesn’t naturally coordinate? Coz #ncaabaseball
0:11

Not every hitter needs to “get into their legs.” Ryan Costello had always been coached to sit deeper into his legs and heels. But when you watch his swing, something stands out. He immediately comes out of his legs and moves toward the front leg. Through assessment we identified a few key things: • Best balance point: right forefoot • Axis of rotation: front leg • Limited hip/shoulder separation • Power produced primarily through the shoulders The adjustment wasn’t getting deeper into the legs. It was allowing him to organize around the front leg instead of fighting it. So far this season: 9 HR. It wasn’t a strength issue. It was coordination and balance. Different hitters coordinate balance differently. How often are we asking players to move in ways their body doesn’t naturally coordinate? Coz #ncaabaseball

Motor Preferences Experts, LLC

27,888 views • 7 months ago

UPDATE: Flyctor has a second body now I bought another Vector robot and connected it to the same stack: - a camera feed - GPT-6 Astra for real-time visual understanding - a MaleCNS fly-brain simulation for movement decisions - a small audio protocol for robot-to-robot communication I didn't let them exchange normal Wi-Fi messages. Instead, each robot has to communicate through its speaker and microphone. One robot emits a short sequence of tones. The other records the sound, converts it into a frequency pattern, classifies the pattern, and injects it into its fly-brain simulation as a sensory event. Right now their entire vocabulary is only four signals: one chirp = "I found an object" two chirps = "come closer" long tone = "path blocked" rapid chirps = "I need help" The interesting part is that the robots don't send coordinates. They don't share a map. They don't know where the other robot is. One Flyctor sees something through Astra, decides it matters, sends a sound, and the other Flyctor has to hear it, interpret it, then decide what to do with that information. camera -> Astra -> fly brain -> speaker microphone -> audio decoder -> fly brain -> movement It is basically a tiny sensory loop between two digital insect nervous systems. Yesterday one robot detected a blocked path and sent the long-tone signal. The other one heard it, turned toward the sound, and rolled over to investigate. It was not impressive in the way modern AI demos are impressive. It was impressive because it felt like watching two small creatures notice each other for the first time.
0:14

UPDATE: Flyctor has a second body now I bought another Vector robot and connected it to the same stack: - a camera feed - GPT-6 Astra for real-time visual understanding - a MaleCNS fly-brain simulation for movement decisions - a small audio protocol for robot-to-robot communication I didn't let them exchange normal Wi-Fi messages. Instead, each robot has to communicate through its speaker and microphone. One robot emits a short sequence of tones. The other records the sound, converts it into a frequency pattern, classifies the pattern, and injects it into its fly-brain simulation as a sensory event. Right now their entire vocabulary is only four signals: one chirp = "I found an object" two chirps = "come closer" long tone = "path blocked" rapid chirps = "I need help" The interesting part is that the robots don't send coordinates. They don't share a map. They don't know where the other robot is. One Flyctor sees something through Astra, decides it matters, sends a sound, and the other Flyctor has to hear it, interpret it, then decide what to do with that information. camera -> Astra -> fly brain -> speaker microphone -> audio decoder -> fly brain -> movement It is basically a tiny sensory loop between two digital insect nervous systems. Yesterday one robot detected a blocked path and sent the long-tone signal. The other one heard it, turned toward the sound, and rolled over to investigate. It was not impressive in the way modern AI demos are impressive. It was impressive because it felt like watching two small creatures notice each other for the first time.

kiruwaaaa

21,000 views • 19 days ago

this is insane, a dead fly brain just got a new body 166,700 fruit fly neurons and more than 25 million biological connections are now sitting inside a robotic body that looks almost exactly like the animal they came from the lab gave those neurons cameras, wings and motors, then let the system figure out what those signals meant without writing normal flight behavior for it a light moves and the head turns airflow changes and the wings correct another fly crosses the camera and the robot starts following it the creepy part is how little machinery the brain actually needs before old instincts start becoming useful again nature spent hundreds of millions of years building a nervous system that can react, stabilize and chase movement someone just gave that nervous system a body made of metal the original fly is gone its wiring is still trying to fly
0:14

this is insane, a dead fly brain just got a new body 166,700 fruit fly neurons and more than 25 million biological connections are now sitting inside a robotic body that looks almost exactly like the animal they came from the lab gave those neurons cameras, wings and motors, then let the system figure out what those signals meant without writing normal flight behavior for it a light moves and the head turns airflow changes and the wings correct another fly crosses the camera and the robot starts following it the creepy part is how little machinery the brain actually needs before old instincts start becoming useful again nature spent hundreds of millions of years building a nervous system that can react, stabilize and chase movement someone just gave that nervous system a body made of metal the original fly is gone its wiring is still trying to fly

explos1ve

196,737 views • 21 days ago

🚨 THIS IS HOW IT STARTS — HUMANOID ROBOT SUDDENLY LUNGES AT A MAN — EXACTLY THE MOMENT PEOPLE FEARED A humanoid robot was casually kicking a soccer ball around during a public demonstration. Then the ball rolled toward a man in the audience. He tried to kick it back. That’s when the robot suddenly charged toward him and raised its arm like it was about to swing. Within seconds, a handler rushed in and grabbed the robot before the moment escalated. People in the room laugh nervously… but the clip is making the rounds online for one reason: The movement looks almost human. The way it runs. The stance. The arm coming up. Even the comments are losing it: • “Tf was it going to HIT for???” • “Why did it need to be held back?” • “DON’T TOUCH MY BALL” • “How do they get pissed off if they supposedly don’t have emotions?” The strangest part? The robot seemed to react the instant the human interfered with the ball. Are we just watching a glitch during a demo… or the exact moment people warned about?
0:16

🚨 THIS IS HOW IT STARTS — HUMANOID ROBOT SUDDENLY LUNGES AT A MAN — EXACTLY THE MOMENT PEOPLE FEARED A humanoid robot was casually kicking a soccer ball around during a public demonstration. Then the ball rolled toward a man in the audience. He tried to kick it back. That’s when the robot suddenly charged toward him and raised its arm like it was about to swing. Within seconds, a handler rushed in and grabbed the robot before the moment escalated. People in the room laugh nervously… but the clip is making the rounds online for one reason: The movement looks almost human. The way it runs. The stance. The arm coming up. Even the comments are losing it: • “Tf was it going to HIT for???” • “Why did it need to be held back?” • “DON’T TOUCH MY BALL” • “How do they get pissed off if they supposedly don’t have emotions?” The strangest part? The robot seemed to react the instant the human interfered with the ball. Are we just watching a glitch during a demo… or the exact moment people warned about?

HustleBitch

54,191 views • 6 months ago

46 AXES. A FULL-BODY TOUCH SYSTEM. THIS HUMANOID IS BUILT TO FEEL CONTACT, NOT JUST COPY MOVEMENT! Watch the arms rise. The movement looks simple, but the interesting part is what sits behind it: a human-shaped machine designed around more than walking or waving. Vita Robotics says its bionic humanoid uses a 46-axis motion architecture, split into 23 axes in the body and 23 in the head, giving it a much wider range of movement than a basic display robot. The company also describes a full-body flexible tactile skin system, designed to detect touch and trigger physical responses. That changes the idea of what a humanoid is supposed to do: instead of only executing a programmed gesture, it is being built to react when a person interacts with it. And that is the bigger race in robotics. Making a machine move is one challenge; making it move naturally, respond to contact and behave consistently around people is another. 46 axes are not just a spec sheet. They are 46 ways for a machine to become more expressive, more responsive and harder to distinguish from a static prop.
0:14

46 AXES. A FULL-BODY TOUCH SYSTEM. THIS HUMANOID IS BUILT TO FEEL CONTACT, NOT JUST COPY MOVEMENT! Watch the arms rise. The movement looks simple, but the interesting part is what sits behind it: a human-shaped machine designed around more than walking or waving. Vita Robotics says its bionic humanoid uses a 46-axis motion architecture, split into 23 axes in the body and 23 in the head, giving it a much wider range of movement than a basic display robot. The company also describes a full-body flexible tactile skin system, designed to detect touch and trigger physical responses. That changes the idea of what a humanoid is supposed to do: instead of only executing a programmed gesture, it is being built to react when a person interacts with it. And that is the bigger race in robotics. Making a machine move is one challenge; making it move naturally, respond to contact and behave consistently around people is another. 46 axes are not just a spec sheet. They are 46 ways for a machine to become more expressive, more responsive and harder to distinguish from a static prop.

Future Memo

105,441 views • 10 days ago

THE FLY DIDN’T COME BACK TO LIFE. ITS WIRING JUST GOT A NEW BODY. scientists reconstructed a fly brain containing: 166,700 neurons roughly 125 million synapses the circuits behind vision, motion and behavior AI helped turn that biological wiring into an inspectable model. developers can now connect it to a machine: camera input → modeled neural activity → movement decision → robot body the robot supplies the muscles. the fly’s neural circuits supply part of the control logic. this isn’t consciousness uploaded into metal. the machine doesn’t remember being a fly. it doesn’t understand what it sees. and the original animal is still dead. but its biological solution to movement can continue operating inside a completely different body. a nervous system shaped by millions of years of evolution is becoming software engineers can inspect, modify and connect to machines. the fly died. the intelligence hidden inside its wiring became reusable. I broke down how a dead brain map could become a robot controller below ↓
0:17

THE FLY DIDN’T COME BACK TO LIFE. ITS WIRING JUST GOT A NEW BODY. scientists reconstructed a fly brain containing: 166,700 neurons roughly 125 million synapses the circuits behind vision, motion and behavior AI helped turn that biological wiring into an inspectable model. developers can now connect it to a machine: camera input → modeled neural activity → movement decision → robot body the robot supplies the muscles. the fly’s neural circuits supply part of the control logic. this isn’t consciousness uploaded into metal. the machine doesn’t remember being a fly. it doesn’t understand what it sees. and the original animal is still dead. but its biological solution to movement can continue operating inside a completely different body. a nervous system shaped by millions of years of evolution is becoming software engineers can inspect, modify and connect to machines. the fly died. the intelligence hidden inside its wiring became reusable. I broke down how a dead brain map could become a robot controller below ↓

kozh ./

61,817 views • 12 days ago

I watched Robot on the Road and honestly I did not really know what to expect going in At the beginning it just feels like a pretty normal little road trip setup with this robot hitchhiking around Japan and it almost gives off a chill slice of life vibe But it does not stay like that for long The more it goes on the more you realize the robot is doing some really questionable stuff and the way it focuses on women without their consent makes the whole thing feel really uncomfortable By the end I was not really sure if I was supposed to find it funny or just feel weird about it Overall it feels like one of those shorts that tries to mix dark humor with awkward situations but it mostly just ends up being unsettling
0:18

I watched Robot on the Road and honestly I did not really know what to expect going in At the beginning it just feels like a pretty normal little road trip setup with this robot hitchhiking around Japan and it almost gives off a chill slice of life vibe But it does not stay like that for long The more it goes on the more you realize the robot is doing some really questionable stuff and the way it focuses on women without their consent makes the whole thing feel really uncomfortable By the end I was not really sure if I was supposed to find it funny or just feel weird about it Overall it feels like one of those shorts that tries to mix dark humor with awkward situations but it mostly just ends up being unsettling

Anime Posts

6,566,352 views • 3 months ago

166,000 neurons from a dead fruit fly now hunt drones from a bedroom desk. A white drone the size of a palm lifts off the carpet, and a black 3D-printed turret on the desk swings after it, with the fly's brain working its 2 stepper motors, 1 camera and 2 barrels through a nest of rainbow wires on a breadboard. That brain sits in the top-left corner of the screen and flares every time the drone jerks. A Patriot interceptor costs about $4 million, and armies are firing them at drones worth a fraction of that. This brain is smaller than a poppy seed, and Google put it online for free 2 weeks ago. Then someone gave it a job it was built for. Most of a fly's brain exists to see motion, and this brain is male, and male flies spend their lives chasing whatever moves. The drone climbs past the ceiling fan and the crosshair climbs with it, then drops when it drops. For 18 seconds it never loses the drone. In the last shot the drone flies home to the guy holding the controller, and the crosshair follows it right onto his chest. It spent its whole life dodging swatters. Now it's the one aiming.
0:17

166,000 neurons from a dead fruit fly now hunt drones from a bedroom desk. A white drone the size of a palm lifts off the carpet, and a black 3D-printed turret on the desk swings after it, with the fly's brain working its 2 stepper motors, 1 camera and 2 barrels through a nest of rainbow wires on a breadboard. That brain sits in the top-left corner of the screen and flares every time the drone jerks. A Patriot interceptor costs about $4 million, and armies are firing them at drones worth a fraction of that. This brain is smaller than a poppy seed, and Google put it online for free 2 weeks ago. Then someone gave it a job it was built for. Most of a fly's brain exists to see motion, and this brain is male, and male flies spend their lives chasing whatever moves. The drone climbs past the ceiling fan and the crosshair climbs with it, then drops when it drops. For 18 seconds it never loses the drone. In the last shot the drone flies home to the guy holding the controller, and the crosshair follows it right onto his chest. It spent its whole life dodging swatters. Now it's the one aiming.

Spike 1%

36,660 views • 21 days ago

Pi Ventures-Backed OpenMind Opens Waitlist For Humanoid Robot Control Pi Network (Pi Network) Ventures backed OpenMind (OpenMind) has opened the waitlist for Instabody, a platform that lets users remotely control a real humanoid robot. The company said users can see the world through the robot's eyes and directly control its movements. It believes giving people the controls will help shape how robots evolve. OpenMind previously launched a robot app store built on its OM1 operating system, allowing developers to add new skills to humanoid and quadruped robots.
0:18

Pi Ventures-Backed OpenMind Opens Waitlist For Humanoid Robot Control Pi Network (Pi Network) Ventures backed OpenMind (OpenMind) has opened the waitlist for Instabody, a platform that lets users remotely control a real humanoid robot. The company said users can see the world through the robot's eyes and directly control its movements. It believes giving people the controls will help shape how robots evolve. OpenMind previously launched a robot app store built on its OM1 operating system, allowing developers to add new skills to humanoid and quadruped robots.

BSCN

56,185 views • 2 months ago

What If One Motor Could Move an Entire Robot Leg? Quaddle takes a very different approach to quadruped mechanics. Instead of using separate motors for the hip and knee, each leg uses a single servo with a mechanical linkage that drives both joints. That cuts the actuator count to just four servos for the whole robot. The interesting part is that the mechanical design does more of the work normally handled by extra actuators. With the right linkage and gait timing, Quaddle can walk, move sideways and spin in place. Less motors. Less wiring. Less weight. More mechanical engineering. Also, the hardware and motion system can be hacked and experimented with. Would you try designing your own leg mechanism around this idea?
0:11

What If One Motor Could Move an Entire Robot Leg? Quaddle takes a very different approach to quadruped mechanics. Instead of using separate motors for the hip and knee, each leg uses a single servo with a mechanical linkage that drives both joints. That cuts the actuator count to just four servos for the whole robot. The interesting part is that the mechanical design does more of the work normally handled by extra actuators. With the right linkage and gait timing, Quaddle can walk, move sideways and spin in place. Less motors. Less wiring. Less weight. More mechanical engineering. Also, the hardware and motion system can be hacked and experimented with. Would you try designing your own leg mechanism around this idea?

Praveen Kumar Verma

12,285 views • 22 days ago

CHINA JUST DEPLOYED A ROBOT THAT LOOKS LIKE A TIRE AND ROLLS NEXT TO COPS ON PATROL. NO LEGS. NO WHEELS. JUST A SPHERE. It rolls down the sidewalk like a runaway truck tire. Except it's covered in cameras, sensors, and it knows exactly where it's going. People stop and stare. It doesn't care. It just keeps rolling. At a tech expo it rolled across the showroom floor while people backed away from it. On city streets it rolled alongside police officers like a K-9 unit made of rubber and AI. No legs to break. No wheels to get stuck. No joints to maintain. Just a ball with treads that goes anywhere. Stairs? It rolls over them. Rough terrain? It grips and climbs. Rain, mud, gravel? Doesn't matter. The entire surface is the wheel. Boston Dynamics' Spot costs $75,000 and walks on four legs that need constant calibration. A human patrol officer costs $50,000-$70,000 a year in salary alone. This sphere rolls 24/7, doesn't take breaks, doesn't call in sick, and has no joints to replace. That's when it clicks. Every robotics company spent years trying to make robots walk. Billions went into teaching machines to balance on two legs. China looked at the problem and said "what if it just rolled?" The most advanced mobility solution turned out to be the oldest shape in existence. A ball. Would you feel safe with this rolling behind you?
0:17

CHINA JUST DEPLOYED A ROBOT THAT LOOKS LIKE A TIRE AND ROLLS NEXT TO COPS ON PATROL. NO LEGS. NO WHEELS. JUST A SPHERE. It rolls down the sidewalk like a runaway truck tire. Except it's covered in cameras, sensors, and it knows exactly where it's going. People stop and stare. It doesn't care. It just keeps rolling. At a tech expo it rolled across the showroom floor while people backed away from it. On city streets it rolled alongside police officers like a K-9 unit made of rubber and AI. No legs to break. No wheels to get stuck. No joints to maintain. Just a ball with treads that goes anywhere. Stairs? It rolls over them. Rough terrain? It grips and climbs. Rain, mud, gravel? Doesn't matter. The entire surface is the wheel. Boston Dynamics' Spot costs $75,000 and walks on four legs that need constant calibration. A human patrol officer costs $50,000-$70,000 a year in salary alone. This sphere rolls 24/7, doesn't take breaks, doesn't call in sick, and has no joints to replace. That's when it clicks. Every robotics company spent years trying to make robots walk. Billions went into teaching machines to balance on two legs. China looked at the problem and said "what if it just rolled?" The most advanced mobility solution turned out to be the oldest shape in existence. A ball. Would you feel safe with this rolling behind you?

Framez

20,566 views • 1 month ago

A dead fruit fly was sliced into 66 pieces. Now its 166,700 neurons are driving robots. Nobody trained it, no dataset, no reward function, no GPU farm, just the wiring. The fly took a second to die, but copying it took 7 microscopes running nonstop for a year, shaving it 1/10,000 of a hair at a time and photographing every layer before the next cut. AI rebuilt it from the scraps, eyes to legs with the neck still attached, 124M synapses and 11,710 cell types, 44 years of human labor finished by machines. Scientists first tried this in 2008 and guessed it would take 500 people 10 years. Then the internet got the file and someone gave it a body. Camera → fly eyes → 166,700 spiking neurons → descending neurons → motors. One of those neurons is DNp01, the giant fiber, the cell that fires when your hand comes down. Push an object at the camera and the looming detectors light up, so the robot swerves. It took 0 training runs, just the same reflex that gets a fly out from under a swatter in 100 milliseconds. Then came the control test, where they kept all 138,639 neurons and shuffled where the synapses connect. The behavior died. The intelligence was never in the neurons, it was in the map. The fly is gone, but the flinch is still running.
0:18

A dead fruit fly was sliced into 66 pieces. Now its 166,700 neurons are driving robots. Nobody trained it, no dataset, no reward function, no GPU farm, just the wiring. The fly took a second to die, but copying it took 7 microscopes running nonstop for a year, shaving it 1/10,000 of a hair at a time and photographing every layer before the next cut. AI rebuilt it from the scraps, eyes to legs with the neck still attached, 124M synapses and 11,710 cell types, 44 years of human labor finished by machines. Scientists first tried this in 2008 and guessed it would take 500 people 10 years. Then the internet got the file and someone gave it a body. Camera → fly eyes → 166,700 spiking neurons → descending neurons → motors. One of those neurons is DNp01, the giant fiber, the cell that fires when your hand comes down. Push an object at the camera and the looming detectors light up, so the robot swerves. It took 0 training runs, just the same reflex that gets a fly out from under a swatter in 100 milliseconds. Then came the control test, where they kept all 138,639 neurons and shuffled where the synapses connect. The behavior died. The intelligence was never in the neurons, it was in the map. The fly is gone, but the flinch is still running.

Spike 1%

25,494 views • 16 days ago