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HOLY SH*T, A DEAD FLY’S BRAIN MAP IS NOW MAKING A ROBOT MOVE. not a brain sitting inside a jar. not an AI trained to imitate how a fly behaves. the actual wiring reconstructed from its nervous system. scientists mapped: 166,700 neurons roughly 125 million synapses the circuits behind... vision, motion and behavior AI helped reconstruct the connections. developers then turned the map into a control loop: camera sees the environment → fly-derived visual circuits process the input → modeled neurons produce activity → activity becomes motor commands → the robot moves the body is synthetic. the control logic begins with biological wiring shaped by millions of years of evolution. this does not mean the fly was resurrected. the robot isn’t conscious. it doesn’t remember being alive. it doesn’t understand where it is going. but the solution its nervous system used to see, react and move can now operate inside a completely different body. this is bigger than one robot. if biological circuits can become inspectable controllers, engineers may not need to invent every intelligent behavior from zero. they can study solutions evolution already built. the fly is dead. its wiring is still making something move. I broke down how 166,700 neurons escaped the brain map and entered a machine below ↓show more

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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 ↓

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 ./

92,936 views • 4 days ago

A FLY’S VISUAL SYSTEM COULD BECOME A ROBOT’S EYES. not by copying the eyes. by copying the wiring behind them. a fly’s brain doesn’t build a detailed picture of the world. its visual circuits reduce light, contrast and motion into decisions: something moved obstacle ahead turn keep going AI helped reconstruct a map containing 166,700 neurons and roughly 125 million synapses. developers can take the visual pathways from that map and build a loop: camera frame → modeled neural activity → movement command → robot the camera supplies the pixels. the fly’s wiring decides which pixels matter. this does not mean the robot sees, understands or thinks like a fly. but it shows something more useful: millions of years of biological visual processing can become an inspectable control system. the fly is dead. its solution to vision doesn’t have to die with it. I broke down how biological wiring could become a robot’s navigation system below ↓

A FLY’S VISUAL SYSTEM COULD BECOME A ROBOT’S EYES. not by copying the eyes. by copying the wiring behind them. a fly’s brain doesn’t build a detailed picture of the world. its visual circuits reduce light, contrast and motion into decisions: something moved obstacle ahead turn keep going AI helped reconstruct a map containing 166,700 neurons and roughly 125 million synapses. developers can take the visual pathways from that map and build a loop: camera frame → modeled neural activity → movement command → robot the camera supplies the pixels. the fly’s wiring decides which pixels matter. this does not mean the robot sees, understands or thinks like a fly. but it shows something more useful: millions of years of biological visual processing can become an inspectable control system. the fly is dead. its solution to vision doesn’t have to die with it. I broke down how biological wiring could become a robot’s navigation system below ↓

kozh ./

81,861 views • 11 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

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

196,313 views • 12 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.

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%

1,046,183 views • 16 days ago

A STUDENT TURNED A FRUIT FLY BRAIN INTO AN AI AGENT AND STEERS IT WITH HER BARE HAND Google and HHMI Janelia spent 10 years mapping the nervous system of 1 male fruit fly, and on September 3 they released the whole map for free. 166,700 neurons and 24.5M synapses, every wire from eye to leg. She ran all of it as a leaky integrate-and-fire simulation and then gave it a job. The top-right panel is the brain firing live, the robot on the left is the agent it drives. A camera tracks her fingers, the movements hit the fly's sensory neurons, and whatever motor neurons fire decide what the agent does. Status: IDLE Pinch → RUNNING IMPLEMENTATION Point → SPINNING UP NEW IMPL Pull back → HEAVY LIFTING The catch: this is not a living fly but a computer model of real wiring, and she built the link between her hand and its neurons. 12 days ago this brain was a dataset Then it played DOOM Then Chrome Dino Then it walked a Strandbeest Now it works for a student. The fly died years ago, but its wiring still takes orders.

A STUDENT TURNED A FRUIT FLY BRAIN INTO AN AI AGENT AND STEERS IT WITH HER BARE HAND Google and HHMI Janelia spent 10 years mapping the nervous system of 1 male fruit fly, and on September 3 they released the whole map for free. 166,700 neurons and 24.5M synapses, every wire from eye to leg. She ran all of it as a leaky integrate-and-fire simulation and then gave it a job. The top-right panel is the brain firing live, the robot on the left is the agent it drives. A camera tracks her fingers, the movements hit the fly's sensory neurons, and whatever motor neurons fire decide what the agent does. Status: IDLE Pinch → RUNNING IMPLEMENTATION Point → SPINNING UP NEW IMPL Pull back → HEAVY LIFTING The catch: this is not a living fly but a computer model of real wiring, and she built the link between her hand and its neurons. 12 days ago this brain was a dataset Then it played DOOM Then Chrome Dino Then it walked a Strandbeest Now it works for a student. The fly died years ago, but its wiring still takes orders.

Spike 1%

105,085 views • 16 days ago

Google just gave away the full wiring diagram of a fruit fly's brain, and a student turned it into an AI agent. Google and HHMI Janelia spent 10 years mapping the full nervous system of one male fruit fly, then released the complete map for free on September 3. 166,700 neurons. 24.5 million synapses. Every wire from eye to leg, mapped and public. She turned the wiring into a leaky integrate and fire simulation and gave it a job. A camera tracks her fingers, the movement hits the fly's sensory neurons, and whatever motor neurons fire decide what a robot does on the other side of the screen. ▪ Pinch triggers running implementation ▪ Point spins up a new implementation ▪ Pull back triggers heavy lifting Twelve days ago this brain was just a dataset. Then it played DOOM. Then Chrome Dino. Then it walked a Strandbeest. Now it works for a student. This isn't a living fly. It's a computer model of real wiring, and she built the bridge between her hand and its neurons herself. The fly died years ago. Its wiring still takes orders.

Google just gave away the full wiring diagram of a fruit fly's brain, and a student turned it into an AI agent. Google and HHMI Janelia spent 10 years mapping the full nervous system of one male fruit fly, then released the complete map for free on September 3. 166,700 neurons. 24.5 million synapses. Every wire from eye to leg, mapped and public. She turned the wiring into a leaky integrate and fire simulation and gave it a job. A camera tracks her fingers, the movement hits the fly's sensory neurons, and whatever motor neurons fire decide what a robot does on the other side of the screen. ▪ Pinch triggers running implementation ▪ Point spins up a new implementation ▪ Pull back triggers heavy lifting Twelve days ago this brain was just a dataset. Then it played DOOM. Then Chrome Dino. Then it walked a Strandbeest. Now it works for a student. This isn't a living fly. It's a computer model of real wiring, and she built the bridge between her hand and its neurons herself. The fly died years ago. Its wiring still takes orders.

Zentrix⌚️

63,932 views • 14 days 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.

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%

24,336 views • 7 days ago

A FLY IS NOW WRITING PYTHON CODE WITH ITS OWN NERVOUS SYSTEM I genuinely didn't expect a fly to end up behind a code editor. The setup is strangely simple. A fly sits on a keyboard while its neural activity is captured in real time. On the other side of the screen, Python code starts appearing line by line inside wordle_solver_v1.py, with the neural visualization changing as the input comes through. The model contains 100,010 flyemg neurons, with 88,172 represented in the current neural model. As activity changes, the system translates those signals into keyboard input and the cursor keeps moving through the code. Then you start looking at what is actually being typed. import random import unicodedata def quitar_acentos(palabra): It's not just random characters filling the editor. The video shows an actual Python function being constructed while the neural activity and keyboard input remain synchronized beside it. Brain activity → keyboard → code. A tiny biological nervous system is being used as the interface between a fly and a programming environment. The fly isn't sitting there watching someone code. It's sitting on the keyboard while the system turns its neural activity into the next input. And somehow the first thing it ended up building was a Wordle solver

A FLY IS NOW WRITING PYTHON CODE WITH ITS OWN NERVOUS SYSTEM I genuinely didn't expect a fly to end up behind a code editor. The setup is strangely simple. A fly sits on a keyboard while its neural activity is captured in real time. On the other side of the screen, Python code starts appearing line by line inside wordle_solver_v1.py, with the neural visualization changing as the input comes through. The model contains 100,010 flyemg neurons, with 88,172 represented in the current neural model. As activity changes, the system translates those signals into keyboard input and the cursor keeps moving through the code. Then you start looking at what is actually being typed. import random import unicodedata def quitar_acentos(palabra): It's not just random characters filling the editor. The video shows an actual Python function being constructed while the neural activity and keyboard input remain synchronized beside it. Brain activity → keyboard → code. A tiny biological nervous system is being used as the interface between a fly and a programming environment. The fly isn't sitting there watching someone code. It's sitting on the keyboard while the system turns its neural activity into the next input. And somehow the first thing it ended up building was a Wordle solver

Insomnia

12,054 views • 16 days ago

$A Stanford student put 166,700 fruit fly neurons in a robot that now writes homework for 30 students. Not one of them has picked up a pen since. The robot is a black aluminum rig with a blue ballpoint, writing square roots and fractions line after line in handwriting that doesn't look like a machine's, while the fly's neurons glow in the corner of the screen. Each student gives it a handwriting sample, and the fly learns the slant, the spacing, the size of the loops and where the letters get lazy at the end of a line, then writes as that student. 30 notebooks, 30 different hands and 1 brain. That brain is smaller than a poppy seed, and a human brain has over 500,000 times more neurons, but the fly doesn't get tired, doesn't smudge the ink and never mixes up whose 7s have a line through them. The teacher checks 30 notebooks, and a fly wrote every one.$

A Stanford student put 166,700 fruit fly neurons in a robot that now writes homework for 30 students. Not one of them has picked up a pen since. The robot is a black aluminum rig with a blue ballpoint, writing square roots and fractions line after line in handwriting that doesn't look like a machine's, while the fly's neurons glow in the corner of the screen. Each student gives it a handwriting sample, and the fly learns the slant, the spacing, the size of the loops and where the letters get lazy at the end of a line, then writes as that student. 30 notebooks, 30 different hands and 1 brain. That brain is smaller than a poppy seed, and a human brain has over 500,000 times more neurons, but the fly doesn't get tired, doesn't smudge the ink and never mixes up whose 7s have a line through them. The teacher checks 30 notebooks, and a fly wrote every one.

Spike 1%

289,140 views • 14 days ago

166,700 fruit fly neurons just took over 3 drones, and nobody taught them to fly. Scientists mapped the full brain of 1 real fly, every neuron and all 25 million connections, and put it online for free. Someone copied that brain 3 times and plugged each copy into a drone. No flight code, no gesture presets, no "avoid the chair" rule, just a camera feeding the fly's eyes and neurons turning into throttle. 1 drone hovers, 1 slips past a chair, 1 drops to the floor and holds. This brain spent 350 million years learning to stay in the air, and now it's back where it belongs. No GPUs, no training run, no $100B data center, just a brain smaller than a grain of salt. 1 fly gives you 3 pilots, and 1,000 flies give you a swarm. The fly is dead, but its brain just got a squadron.

166,700 fruit fly neurons just took over 3 drones, and nobody taught them to fly. Scientists mapped the full brain of 1 real fly, every neuron and all 25 million connections, and put it online for free. Someone copied that brain 3 times and plugged each copy into a drone. No flight code, no gesture presets, no "avoid the chair" rule, just a camera feeding the fly's eyes and neurons turning into throttle. 1 drone hovers, 1 slips past a chair, 1 drops to the floor and holds. This brain spent 350 million years learning to stay in the air, and now it's back where it belongs. No GPUs, no training run, no $100B data center, just a brain smaller than a grain of salt. 1 fly gives you 3 pilots, and 1,000 flies give you a swarm. The fly is dead, but its brain just got a squadron.

Spike 1%

777,046 views • 15 days 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.

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 • 10 days ago

scientists published the complete wiring diagram of a fly's brain 140,000 neurons. 50 million connections. Someone just built an entire trading bot on top of it. they named it FlySwarm. $55 → $8,740 in 28 hours i downloaded it. told it to trade. more than +15,800% profit the fly has been dead for years. its brain is still making money. a fly's brain evolved one job over 50 million years: survive. find food before something kills you. never stop scanning. act in milliseconds. every 8 minutes: runs the full connectome against live market data the way the fly would run it against a field the "food detection" circuits flag where price is moving before volume confirms it the "threat avoidance" circuits kill any position the moment the pattern breaks the "escape reflex" closes everything in under 200 milliseconds if volatility spikes it doesn't calculate. it reacts. the way a fly reacts. it has never hesitated once. night one it dropped to $9. the escape reflex triggered 40 times in 6 hours. a fly survives by being faster than everything trying to eat it. by morning it had rebuilt the balance and was up 15,800%. the market tried to eat it on night one. it flew away. the algo ran for free. it's been running for 50 million years. $55 → $8,740 in 28 hours what does a fly know about markets that we don't?

scientists published the complete wiring diagram of a fly's brain 140,000 neurons. 50 million connections. Someone just built an entire trading bot on top of it. they named it FlySwarm. $55 → $8,740 in 28 hours i downloaded it. told it to trade. more than +15,800% profit the fly has been dead for years. its brain is still making money. a fly's brain evolved one job over 50 million years: survive. find food before something kills you. never stop scanning. act in milliseconds. every 8 minutes: runs the full connectome against live market data the way the fly would run it against a field the "food detection" circuits flag where price is moving before volume confirms it the "threat avoidance" circuits kill any position the moment the pattern breaks the "escape reflex" closes everything in under 200 milliseconds if volatility spikes it doesn't calculate. it reacts. the way a fly reacts. it has never hesitated once. night one it dropped to $9. the escape reflex triggered 40 times in 6 hours. a fly survives by being faster than everything trying to eat it. by morning it had rebuilt the balance and was up 15,800%. the market tried to eat it on night one. it flew away. the algo ran for free. it's been running for 50 million years. $55 → $8,740 in 28 hours what does a fly know about markets that we don't?

Nekt0

47,335 views • 17 days ago

166,700 neurons from a male fruit fly's brain are teaching a pair of silicone lips to talk. A steel frame, a silicone tongue, a row of motors under the jaw and a microphone pointed straight at the mouth, with no speaker anywhere. Air pushes through artificial vocal cords, the motors bend the lips and the microphone catches every sound it makes. If the pitch is off, the motors shift before the next try. Nobody coded the words: it finds each lip shape by trial and error and uses old sounds to guess new ones. Babies learn to talk the same way: babble, listen, fix, repeat. The new part is the brain in the corner of the screen, with 166,700 neurons and 125 million synapses packed into something smaller than a poppy seed. Scientists spent 10 years mapping every wire, and the job took 44 years of human labor. Male fruit flies already sing: they buzz 1 wing to court a female, and she hears the song through her antennae. That song never had a mouth until now. A trained linear readout turns its spikes into words and the mouth does the rest. You needed 86 billion neurons and 12 months to say "mama." The fly needs 166,700 and a microphone.

166,700 neurons from a male fruit fly's brain are teaching a pair of silicone lips to talk. A steel frame, a silicone tongue, a row of motors under the jaw and a microphone pointed straight at the mouth, with no speaker anywhere. Air pushes through artificial vocal cords, the motors bend the lips and the microphone catches every sound it makes. If the pitch is off, the motors shift before the next try. Nobody coded the words: it finds each lip shape by trial and error and uses old sounds to guess new ones. Babies learn to talk the same way: babble, listen, fix, repeat. The new part is the brain in the corner of the screen, with 166,700 neurons and 125 million synapses packed into something smaller than a poppy seed. Scientists spent 10 years mapping every wire, and the job took 44 years of human labor. Male fruit flies already sing: they buzz 1 wing to court a female, and she hears the song through her antennae. That song never had a mouth until now. A trained linear readout turns its spikes into words and the mouth does the rest. You needed 86 billion neurons and 12 months to say "mama." The fly needs 166,700 and a microphone.

Spike 1%

2,474,613 views • 12 days 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.

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

102,312 views • 2 days ago

I successfully compressed the complete fruit fly brain, including all 139,255 neurons and their connections into approximately 43 MB. Storing the entire connectome on Bitcoin will require around 110 separate Ordinal inscriptions of up to 350 KB each, making the process expensive. To help fund this process, we are considering creating a very limited collection of digital insects, although the exact details are still being defined. Through our neural engine, the fly’s brain could potentially control these other digital insects, influencing their movements, reactions, and behavior The goal is not merely to inscribe a brain as static data, but to make it functional,using the on-chain connectome as the foundation for an autonomous digital ecosystem living entirely on Bitcoin. This remains an experiment with much still to develop, but the vision is clear: preserve the brain, activate it, and create a world where it can continue to exist

I successfully compressed the complete fruit fly brain, including all 139,255 neurons and their connections into approximately 43 MB. Storing the entire connectome on Bitcoin will require around 110 separate Ordinal inscriptions of up to 350 KB each, making the process expensive. To help fund this process, we are considering creating a very limited collection of digital insects, although the exact details are still being defined. Through our neural engine, the fly’s brain could potentially control these other digital insects, influencing their movements, reactions, and behavior The goal is not merely to inscribe a brain as static data, but to make it functional,using the on-chain connectome as the foundation for an autonomous digital ecosystem living entirely on Bitcoin. This remains an experiment with much still to develop, but the vision is clear: preserve the brain, activate it, and create a world where it can continue to exist

BANKNOTES

11,345 views • 19 days ago

A 19-year-old Stanford student put on red boxing gloves and lost 12-0 to a simulated fruit fly. The fly never left its side of the dish. Her webcam reads her shoulders and both hands, so leaning right makes the blue fly circle and a thrown punch makes it lunge, while the red one plays the rival. 12 seconds of zone control wins, rounds cap at 20. Status line with 16 seconds left: "Rival spreads his wings". She lunged once, made contact, scored 0.0 seconds. The rival isn't scripted two rendered eye views feed Flyvis, the published fly visual network from Nature 2024, and a target detector reads that activity to steer the turn, with 115 connected MaleCNS cell-type populations underneath and a NeuroMechFly body carrying real meshes and real leg angles. Its temper came out of a lab, where researchers switched on pC1 neurons in live males at 2.3, 2.9 and 3.5 mW/cm², filmed 30 seconds of the fight at 60 Hz, then fitted the approach, back-off, wing-threat and lunge odds to what the flies actually did. The wiring dropped September 3, 2026 166,700 neurons, 124 million synapses, the first complete male fly nervous system ever mapped. A brain the size of a poppy seed, free to download. Final board: 12.0 out of 12 for the rival, 0.0 for the primate with 86 billion neurons and a Stanford ID. She lost every second of the round.

A 19-year-old Stanford student put on red boxing gloves and lost 12-0 to a simulated fruit fly. The fly never left its side of the dish. Her webcam reads her shoulders and both hands, so leaning right makes the blue fly circle and a thrown punch makes it lunge, while the red one plays the rival. 12 seconds of zone control wins, rounds cap at 20. Status line with 16 seconds left: "Rival spreads his wings". She lunged once, made contact, scored 0.0 seconds. The rival isn't scripted two rendered eye views feed Flyvis, the published fly visual network from Nature 2024, and a target detector reads that activity to steer the turn, with 115 connected MaleCNS cell-type populations underneath and a NeuroMechFly body carrying real meshes and real leg angles. Its temper came out of a lab, where researchers switched on pC1 neurons in live males at 2.3, 2.9 and 3.5 mW/cm², filmed 30 seconds of the fight at 60 Hz, then fitted the approach, back-off, wing-threat and lunge odds to what the flies actually did. The wiring dropped September 3, 2026 166,700 neurons, 124 million synapses, the first complete male fly nervous system ever mapped. A brain the size of a poppy seed, free to download. Final board: 12.0 out of 12 for the rival, 0.0 for the primate with 86 billion neurons and a Stanford ID. She lost every second of the round.

Spike 1%

15,526 views • 17 days ago

🚨 SCIENTISTS ARE USING AI TO MAP A HIDDEN “CLEANING SYSTEM” INSIDE THE HUMAN BRAIN AND IT COULD CHANGE HOW WE UNDERSTAND SLEEP, AGING, AND NEURODEGENERATIVE DISEASE. It’s called the glymphatic system a vast network of fluid channels that flushes toxic waste from the brain while you sleep. For years it was almost impossible to observe in detail. Now AI-powered imaging is revealing it like a living galaxy of microscopic rivers and pathways inside neural tissue. Why this matters: Your brain produces toxic proteins constantly. The glymphatic system is one of its primary waste-clearance mechanisms clearing the very proteins linked to Alzheimer’s, Parkinson’s, and other neurodegenerative diseases. But here’s the unsettling part: This cleaning system becomes dramatically less efficient with age, poor sleep, stress, and brain injury. Sleep may not just “rest” your mind it may literally wash your brain. The deeper implication is staggering: The brain isn’t just a computer. It’s a dynamic, living network that constantly rebuilds and cleanses itself in real time. The more we map it, the more it looks like an entire universe of connected energy flows inside our skulls. What if some neurological diseases begin when the brain can no longer properly “wash” itself at night? Follow for more frontier neuroscience and future technology.

🚨 SCIENTISTS ARE USING AI TO MAP A HIDDEN “CLEANING SYSTEM” INSIDE THE HUMAN BRAIN AND IT COULD CHANGE HOW WE UNDERSTAND SLEEP, AGING, AND NEURODEGENERATIVE DISEASE. It’s called the glymphatic system a vast network of fluid channels that flushes toxic waste from the brain while you sleep. For years it was almost impossible to observe in detail. Now AI-powered imaging is revealing it like a living galaxy of microscopic rivers and pathways inside neural tissue. Why this matters: Your brain produces toxic proteins constantly. The glymphatic system is one of its primary waste-clearance mechanisms clearing the very proteins linked to Alzheimer’s, Parkinson’s, and other neurodegenerative diseases. But here’s the unsettling part: This cleaning system becomes dramatically less efficient with age, poor sleep, stress, and brain injury. Sleep may not just “rest” your mind it may literally wash your brain. The deeper implication is staggering: The brain isn’t just a computer. It’s a dynamic, living network that constantly rebuilds and cleanses itself in real time. The more we map it, the more it looks like an entire universe of connected energy flows inside our skulls. What if some neurological diseases begin when the brain can no longer properly “wash” itself at night? Follow for more frontier neuroscience and future technology.

TheNewPhysics

15,641 views • 4 months ago

If a brain’s neural connections can be mapped and simulated, what we’re really recreating is the flow of information through that network. Conscious behavior may not be tied to biology alone it may emerge from the stability of the information patterns themselves. The real question isn’t just whether a fly can live in a simulation… It’s whether cognition is fundamentally a physical structure, or a dynamic information process that can exist on different substrates.

If a brain’s neural connections can be mapped and simulated, what we’re really recreating is the flow of information through that network. Conscious behavior may not be tied to biology alone it may emerge from the stability of the information patterns themselves. The real question isn’t just whether a fly can live in a simulation… It’s whether cognition is fundamentally a physical structure, or a dynamic information process that can exist on different substrates.

TheNewPhysics

41,917 views • 6 months ago

I havent seen anyone post about it but one thing that stood out to me the most from the MW4 briefing is how sick the Tactical Nuke animation is. Tactical Nuke is back but the animation is completely different. You call it in a small phone and then a buckle into a skyhook a plane grabs right before the nuke drops and you look back at the map getting nuked. You also flip the map off as you fly away Its one of the sickest things I saw. The video below is an example from MW3 of what i mean.

I havent seen anyone post about it but one thing that stood out to me the most from the MW4 briefing is how sick the Tactical Nuke animation is. Tactical Nuke is back but the animation is completely different. You call it in a small phone and then a buckle into a skyhook a plane grabs right before the nuke drops and you look back at the map getting nuked. You also flip the map off as you fly away Its one of the sickest things I saw. The video below is an example from MW3 of what i mean.

Tridzo

414,856 views • 4 months ago

A Gaussian Splat can become a world where Robots and AI agents can act. In our latest OVER Research experiment, we placed a robot inside a real-world 3D capture, with a VLM making decisions based on what it sees. At every step, the robot holds a pose in the reconstruction, gets a newly rendered view of the environment, takes an action, moves, and sees the world again from its new position. Why does this matter? Because 3D captures can become more than reconstructions to explore. They can become environments where embodied AI and robots can navigate, act, be evaluated and eventually train across real-world spaces at scale. Capture a place once. Then turn it into a world where AI and Robots can act. The full experiment, including what we discovered once we actually put the loop to the test:

A Gaussian Splat can become a world where Robots and AI agents can act. In our latest OVER Research experiment, we placed a robot inside a real-world 3D capture, with a VLM making decisions based on what it sees. At every step, the robot holds a pose in the reconstruction, gets a newly rendered view of the environment, takes an action, moves, and sees the world again from its new position. Why does this matter? Because 3D captures can become more than reconstructions to explore. They can become environments where embodied AI and robots can navigate, act, be evaluated and eventually train across real-world spaces at scale. Capture a place once. Then turn it into a world where AI and Robots can act. The full experiment, including what we discovered once we actually put the loop to the test:

Over the Reality 🌐

15,261 views • 29 days ago