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A FLY BRAIN IS PLAYING CRASH BANDICOOT. Not an AI. Not a bot. Not a script. 166,700 simulated neurons from a real fly connectome - actual measured wiring from an actual insect. The loop: → The game screen gets fed in as retinal input → 166,700 neurons fire, ~57,000... spikes per update → The spikes get decoded into stick X and stick Y → The controller moves No training. No reward function. No weights. Just wiring that evolved over 300 million years, ripped out of a bug and pointed at a PlayStation game. Neural latency: 7.8ms. Real-time factor: 0.99x. It cleared the level. PERFECT. We spent a decade teaching machines to see. A housefly has been doing it since before we existed.show more

RGK

6,108 subscribers

12,083 次观看 • 8 天前 •via X (Twitter)

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4 条评论

Rey Ravy 的头像

Rey Ravy8 天前

@grok isso não faz sentido pra mim. Se o conectoma da mosca nunca foi treinado pra pegar as maçãs, nem desviar obstáculos ou pular, como ela faz isso de forma instantânea até zerar o jogo? Qual a explicação?

FLYBRAIN CULT 的头像

FLYBRAIN CULT7 天前

and we haven't even reached the final form

dDecentralized 的头像

dDecentralized8 天前

how would this even make sense. i swear you guys are buying anything you read.

Radek Věchet 的头像

Radek Věchet8 天前

That's cool. Let's play tetris against fly brain 😂

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I GAVE A DRONE THE BRAIN OF A FRUIT FLY Not a toy network with a handful of fake neurons. The actual wiring diagram of a real fly. 166,700 neurons, 25.6 million connections, mapped one synapse at a time. I call it FlyDrones. The drone's camera becomes the fly's eyes. Motion lights up the same neurons a real fly uses to see. Spikes race through the connectome down to the neurons that drive the wings. Those spikes become throttle and yaw. The brain has zero lines of flight code, just wiring. Swing a fly swatter at it. If the giant fiber (the fly's escape neuron) fires in time, the drone dodges. Open palm, fist, rush at the camera and it reacts like a fly. Built for Tello, Crazyflie, ArduPilot/PX4 and Betaflight quads via ESP32. Code is MIT, powered by Claude. Fork it and give your drone a brain.

I GAVE A DRONE THE BRAIN OF A FRUIT FLY Not a toy network with a handful of fake neurons. The actual wiring diagram of a real fly. 166,700 neurons, 25.6 million connections, mapped one synapse at a time. I call it FlyDrones. The drone's camera becomes the fly's eyes. Motion lights up the same neurons a real fly uses to see. Spikes race through the connectome down to the neurons that drive the wings. Those spikes become throttle and yaw. The brain has zero lines of flight code, just wiring. Swing a fly swatter at it. If the giant fiber (the fly's escape neuron) fires in time, the drone dodges. Open palm, fist, rush at the camera and it reacts like a fly. Built for Tello, Crazyflie, ArduPilot/PX4 and Betaflight quads via ESP32. Code is MIT, powered by Claude. Fork it and give your drone a brain.

Spike 1%

14,678 次观看 • 7 天前

$BRAIN just got a real brain. v0.4.0 runs the full MaleCNS v1.0 connectome: 166,700 neurons and 124M synapses firing in one spiking simulation. Camera motion now reaches identified fly visual neurons, travels through the wiring, and triggers real escape and steering circuits that produce motor commands. The loop already runs up to 6.5x real time on an RTX 3050. Shuffle the connectome and the behaviour vanishes. The wiring is doing the work. Next up: transaction → sensory neurons → 166,700-neuron brain → movement

$BRAIN just got a real brain. v0.4.0 runs the full MaleCNS v1.0 connectome: 166,700 neurons and 124M synapses firing in one spiking simulation. Camera motion now reaches identified fly visual neurons, travels through the wiring, and triggers real escape and steering circuits that produce motor commands. The loop already runs up to 6.5x real time on an RTX 3050. Shuffle the connectome and the behaviour vanishes. The wiring is doing the work. Next up: transaction → sensory neurons → 166,700-neuron brain → movement

Frank

11,773 次观看 • 7 天前

THE FLY BRAIN ESCAPED THE COMPUTER. I PUT IT INSIDE A PHYSICAL ROBOT. Scientists released a reconstructed map containing 166,700 neurons from a fruit fly. I connected it to a Strandbeest. The panel in the top-right shows the simulated brain running. Its neural activity is translated into motor commands that move the mechanical legs below. The catch: this is a computational model built from biological wiring. I engineered the interface connecting its outputs to the robot. First, the fly brain entered DOOM. Then it played Chrome Dino. Now it has a physical body. 166,700 neurons. 25 million connections. One nervous system walking through the real world.

THE FLY BRAIN ESCAPED THE COMPUTER. I PUT IT INSIDE A PHYSICAL ROBOT. Scientists released a reconstructed map containing 166,700 neurons from a fruit fly. I connected it to a Strandbeest. The panel in the top-right shows the simulated brain running. Its neural activity is translated into motor commands that move the mechanical legs below. The catch: this is a computational model built from biological wiring. I engineered the interface connecting its outputs to the robot. First, the fly brain entered DOOM. Then it played Chrome Dino. Now it has a physical body. 166,700 neurons. 25 million connections. One nervous system walking through the real world.

Frank

5,136,392 次观看 • 10 天前

FLY BRAIN PUT INSIDE PHYSICAL ROBOT. Not literally. They mapped all 166,700 real neurons from a fly's brain and rebuilt the entire wiring as a computational model. Every connection copied, nothing simplified. That simulated brain has already lived several lives. It played DOOM. It beat Chrome Dino. Each time researchers were testing whether insect-level neural wiring could handle tasks it never evolved for. Now the same model controls a physical machine, and they dropped it straight into a maze. Cardboard walls, tight turns, no map given in advance. The robot's neural activity gets translated directly into motor commands, and those commands drove it through the maze and out the other side. Researchers are clear this isn't a biological brain in a robot. It's an engineered interface between a reconstructed nervous system and a machine body. But a fly's mind just solved a physical maze. Insect cognition is running real robots today. Human-scale digital brains doing the same thing feels a lot closer now. Wild breakthrough or the first step toward something we're not ready for?

FLY BRAIN PUT INSIDE PHYSICAL ROBOT. Not literally. They mapped all 166,700 real neurons from a fly's brain and rebuilt the entire wiring as a computational model. Every connection copied, nothing simplified. That simulated brain has already lived several lives. It played DOOM. It beat Chrome Dino. Each time researchers were testing whether insect-level neural wiring could handle tasks it never evolved for. Now the same model controls a physical machine, and they dropped it straight into a maze. Cardboard walls, tight turns, no map given in advance. The robot's neural activity gets translated directly into motor commands, and those commands drove it through the maze and out the other side. Researchers are clear this isn't a biological brain in a robot. It's an engineered interface between a reconstructed nervous system and a machine body. But a fly's mind just solved a physical maze. Insect cognition is running real robots today. Human-scale digital brains doing the same thing feels a lot closer now. Wild breakthrough or the first step toward something we're not ready for?

Zentrix⌚️

23,428 次观看 • 8 天前

For the first time in history, GPT-6 Astra created a fly that is simply a fly. Not a chatbot pretending to be a fly. Not a simplified animation. A digital fly running its own connectome brain, perceiving a real room through its own senses and interacting with the environment using the power of AR. The entire loop is surprisingly wild: Spectacles capture the retina, light rays, hands, and the surrounding room → the room is converted into an inventory → sensory information is fed into the fly’s neural system → the MaleCNS connectome processes it → descending neurons and motor pools generate actions → the commands return to the Spectacles → wings, legs, and head respond. In other words, the fly sees through its own eyes, processes the world through its own simulated brain, and acts through its own virtual body. We are moving from AI that generates outputs to AI that actually has a body, senses, a brain, and a closed perception-action loop. The 🪰 is no longer just simulated. It is experiencing a world The developer Pavlo Tkachenko is pinned below in the post

For the first time in history, GPT-6 Astra created a fly that is simply a fly. Not a chatbot pretending to be a fly. Not a simplified animation. A digital fly running its own connectome brain, perceiving a real room through its own senses and interacting with the environment using the power of AR. The entire loop is surprisingly wild: Spectacles capture the retina, light rays, hands, and the surrounding room → the room is converted into an inventory → sensory information is fed into the fly’s neural system → the MaleCNS connectome processes it → descending neurons and motor pools generate actions → the commands return to the Spectacles → wings, legs, and head respond. In other words, the fly sees through its own eyes, processes the world through its own simulated brain, and acts through its own virtual body. We are moving from AI that generates outputs to AI that actually has a body, senses, a brain, and a closed perception-action loop. The 🪰 is no longer just simulated. It is experiencing a world The developer Pavlo Tkachenko is pinned below in the post

Zentrix⌚️

321,163 次观看 • 10 天前

There's a fruit fly walking around right now that was never born. eon just released a video where they took a real fly's connectome — the wiring diagram of its brain — and simulated it. Dropped it into a virtual body. It started walking. Grooming. Feeding. Doing what flies do. Nobody taught it to walk. No training data, no gradient descent toward fly-like behavior. This is the opposite of how AI works. They rebuilt the mind from the inside, neuron by neuron, and behavior just... emerged. It's the first time a biological organism has been recreated not by modeling what it does, but by modeling what it is. A human brain is 6 OOM more neurons. That's a scaling problem, something we've gotten very good at solving. So what happens when we have a working copy of the human mind?

There's a fruit fly walking around right now that was never born. eon just released a video where they took a real fly's connectome — the wiring diagram of its brain — and simulated it. Dropped it into a virtual body. It started walking. Grooming. Feeding. Doing what flies do. Nobody taught it to walk. No training data, no gradient descent toward fly-like behavior. This is the opposite of how AI works. They rebuilt the mind from the inside, neuron by neuron, and behavior just... emerged. It's the first time a biological organism has been recreated not by modeling what it does, but by modeling what it is. A human brain is 6 OOM more neurons. That's a scaling problem, something we've gotten very good at solving. So what happens when we have a working copy of the human mind?

hattie

9,590,051 次观看 • 6 个月前

We might have just witnessed the first real mind upload. 🤯 Scientists scanned a fruit fly brain neuron by neuron, synapse by synapse, recreated it digitally, and placed it inside a simulated body. The fly walked. Groomed. Fed. No training. No prompts. No learning phase. The behavior was already in the wiring. That’s not just neuroscience anymore. That’s the first glimpse of digital minds.

We might have just witnessed the first real mind upload. 🤯 Scientists scanned a fruit fly brain neuron by neuron, synapse by synapse, recreated it digitally, and placed it inside a simulated body. The fly walked. Groomed. Fed. No training. No prompts. No learning phase. The behavior was already in the wiring. That’s not just neuroscience anymore. That’s the first glimpse of digital minds.

VraserX e/acc

862,037 次观看 • 6 个月前

For the first time ever, a fruit fly brain has been trained to launch a memecoin. Not "AI inspired by a brain" — the real connectome. 165,122 neurons, 10,228,000 synaptic connections, every one traced from an actual male Drosophila by electron microscopy. Janelia FlyEM + Google Research, released CC-BY. How it works: Screenshots of the live launchpad go in through 892 retinotopic hex columns into L1 and L2 — the neurons sitting directly behind a fly's photoreceptors. All 165,122 integrate. The cursor comes back out of the descending neurons a fly actually walks with: DNa02's left-right asymmetry steers, DNa01 drives forward, DNp09 clicks. The wiring is never trained. Only synaptic gains — you don't get to invent connections the fly doesn't have. Proof its eye is doing real work: in light mode it filled 0 of 3 form fields. In dark mode, 2 of 3. Its retina is a luminance map, so invert the contrast and it goes blind. And the honest split: the fly types the description and the ticker. The rig does the name, the pair and the tax. CA: 0x4eb990547bce4a982432ca88cf5fae7eed1a2d35

For the first time ever, a fruit fly brain has been trained to launch a memecoin. Not "AI inspired by a brain" — the real connectome. 165,122 neurons, 10,228,000 synaptic connections, every one traced from an actual male Drosophila by electron microscopy. Janelia FlyEM + Google Research, released CC-BY. How it works: Screenshots of the live launchpad go in through 892 retinotopic hex columns into L1 and L2 — the neurons sitting directly behind a fly's photoreceptors. All 165,122 integrate. The cursor comes back out of the descending neurons a fly actually walks with: DNa02's left-right asymmetry steers, DNa01 drives forward, DNp09 clicks. The wiring is never trained. Only synaptic gains — you don't get to invent connections the fly doesn't have. Proof its eye is doing real work: in light mode it filled 0 of 3 form fields. In dark mode, 2 of 3. Its retina is a luminance map, so invert the contrast and it goes blind. And the honest split: the fly types the description and the ticker. The rig does the name, the pair and the tax. CA: 0x4eb990547bce4a982432ca88cf5fae7eed1a2d35

Fruit fly dev

796,648 次观看 • 12 天前

SOMEONE UPLOADED A REAL FLY BRAIN TO GITHUB. IT IS TRADING CRYPTO RIGHT NOW. This is not an AI. An actual mapped biological connectome (166,700 neurons) is doing real work across 5 insane open-source repositories. 1. stonkfly (646 stars) A fly brain trading Bitcoin. It watches BTC charts through digitized eye cells and places orders via Coinbase API. Profits trigger virtual dopamine neurons. 2. desktop-fly (946 stars) A 3D fly living on your desktop. 668 neurons dodge your mouse cursor using real biological escape circuits. 3. doomfly (263 stars) Plugging raw DOOM pixels directly into optical cells. It failed the learning benchmarks, but the open-source repo is live with all data. 4. fly64 (38 stars) The fly brain plays Super Mario 64. Firing escape neurons forces Mario to jump. Zero machine learning, just mapped biology. 5. ommatid (brand new) A 165,000 neuron connectome running on a basic Raspberry Pi, navigating a physical six-legged robot using a live camera feed. The entire Drosophila connectome is completely free under CC-BY licensing. Full list of repos in first reply ↓

shmidt

30,546 次观看 • 8 天前

166,700 fruit fly neurons are walking a robot cat across a desk right now. In September 2026, Google Research and HHMI Janelia mapped every neuron and every connection in an adult male fruit fly's full nervous system, brain, optic lobes, and ventral nerve cord together, and published it in Cell. The number is staggering on its own: 166,700 neurons, roughly 125 million synapses, the most complete nervous system map of any animal ever built. Now that exact wiring is running live, simulated neuron for neuron, inside a small robotic quadruped equipped with a camera and motion sensors. Movement comes in through the sensors, the biological circuitry fires the way it always did, and the output drives the robot's legs directly. No one wrote the balance logic. No one coded the gait. The insect's own nervous system does that job, just on legs it never had. To be clear about what this is and isn't: nothing biological is alive in this loop. It's a full computational reconstruction of real neural wiring, controlling hardware instead of an insect body. The brain is real. The body is borrowed. Remarkable proof that a mapped nervous system can drive any body you give it, or a preview of something people aren't ready to think through yet?

166,700 fruit fly neurons are walking a robot cat across a desk right now. In September 2026, Google Research and HHMI Janelia mapped every neuron and every connection in an adult male fruit fly's full nervous system, brain, optic lobes, and ventral nerve cord together, and published it in Cell. The number is staggering on its own: 166,700 neurons, roughly 125 million synapses, the most complete nervous system map of any animal ever built. Now that exact wiring is running live, simulated neuron for neuron, inside a small robotic quadruped equipped with a camera and motion sensors. Movement comes in through the sensors, the biological circuitry fires the way it always did, and the output drives the robot's legs directly. No one wrote the balance logic. No one coded the gait. The insect's own nervous system does that job, just on legs it never had. To be clear about what this is and isn't: nothing biological is alive in this loop. It's a full computational reconstruction of real neural wiring, controlling hardware instead of an insect body. The brain is real. The body is borrowed. Remarkable proof that a mapped nervous system can drive any body you give it, or a preview of something people aren't ready to think through yet?

Zentrix⌚️

229,457 次观看 • 8 天前

A DEAD FLY IS DRIVING MY ROBOT RIGHT NOW. Not a metaphor. A reconstructed neural map of a fruit fly - 166,700 neurons, 25.6 million synapses - is now running on my MacBook and steering a quadruped robot in my living room. Here's how it works: 1. MaleCNS - a full connectome reconstruction of an adult fly brain - runs as a live simulation on my laptop. 2. I used Codex to build a decoder that reads the simulation's neural activity and turns it into movement commands: forward, left, right. 3. Those commands get sent over Wi-Fi to the robot, which still uses its own firmware to drive all 12 servos. The brain only decides where to go, not how to move each leg. No scripts. No prerecorded paths. The simulation runs continuously, live, while the robot walks. The fly has been dead for years. But its reconstructed nervous system is producing real decisions again, in real time, controlling a machine that didn't exist when it was alive. Next step: feed the robot's sensors back into the simulation and close the loop. A dead brain that can finally feel the world it's walking through. This fly has been dead for years. Its brain runs on my laptop. Its decisions move a machine through my living room. One dead nervous system, walking again.

A DEAD FLY IS DRIVING MY ROBOT RIGHT NOW. Not a metaphor. A reconstructed neural map of a fruit fly - 166,700 neurons, 25.6 million synapses - is now running on my MacBook and steering a quadruped robot in my living room. Here's how it works: 1. MaleCNS - a full connectome reconstruction of an adult fly brain - runs as a live simulation on my laptop. 2. I used Codex to build a decoder that reads the simulation's neural activity and turns it into movement commands: forward, left, right. 3. Those commands get sent over Wi-Fi to the robot, which still uses its own firmware to drive all 12 servos. The brain only decides where to go, not how to move each leg. No scripts. No prerecorded paths. The simulation runs continuously, live, while the robot walks. The fly has been dead for years. But its reconstructed nervous system is producing real decisions again, in real time, controlling a machine that didn't exist when it was alive. Next step: feed the robot's sensors back into the simulation and close the loop. A dead brain that can finally feel the world it's walking through. This fly has been dead for years. Its brain runs on my laptop. Its decisions move a machine through my living room. One dead nervous system, walking again.

kiruwaaaa

75,565 次观看 • 8 天前

The fruit fly's brain is superior to the human brain, and GPT-6 ASTRA has proven this. And the internet went crazy. Most AI models learn by training on massive datasets, running billions of computations to acquire new skills. But researchers just demonstrated a radically different approach: No giant dataset. No traditional training. Just take the physical wiring of a biological brain and simulate it in a computer. The digital fruit fly reached ~91% behavioral accuracy using only 4 things: The complete neural connectivity map Synaptic connection counts as connection weights Excitatory vs inhibitory neuron types A simple Leaky Integrate-and-Fire model The wild part? The wiring itself may contain much more of the brain’s “code” than we thought. From tens of thousands of neurons in a fly → millions in a mouse → ~86 billion in a human. If this scales, whole-brain simulation could become one of the biggest frontiers in AI. The era of biologically inspired intelligence may have just begun

The fruit fly's brain is superior to the human brain, and GPT-6 ASTRA has proven this. And the internet went crazy. Most AI models learn by training on massive datasets, running billions of computations to acquire new skills. But researchers just demonstrated a radically different approach: No giant dataset. No traditional training. Just take the physical wiring of a biological brain and simulate it in a computer. The digital fruit fly reached ~91% behavioral accuracy using only 4 things: The complete neural connectivity map Synaptic connection counts as connection weights Excitatory vs inhibitory neuron types A simple Leaky Integrate-and-Fire model The wild part? The wiring itself may contain much more of the brain’s “code” than we thought. From tens of thousands of neurons in a fly → millions in a mouse → ~86 billion in a human. If this scales, whole-brain simulation could become one of the biggest frontiers in AI. The era of biologically inspired intelligence may have just begun

Zentrix⌚️

102,557 次观看 • 11 天前

166,000 neurons from a dead fruit fly now pilot a robot that drives and flies. It's the wildest piece of engineering on the internet right now, and the pilot has been dead the whole time. The robot rolls across a bedroom floor like a toy until the wheels stop being wheels: 4 propellers inside the rims spin up, and it lifts off, hangs at desk height, turns and lands. The body came out of a cardboard box of drone parts, and the brain it copies is smaller than a poppy seed and was never designed by a human. Janelia and Google spent years turning 1 male fruit fly into a spreadsheet, with every neuron and up to 125M synapses labeled, and on September 3 they posted it free for anyone to download. To build it, the fly was cut into thousands of layers and traced cell by cell under an electron microscope. Camera frames get turned into what a fly's eyes would see. The spikes run through the real wiring, where each neuron is 1 equation that rests at -52 mV and fires at -45. When something rushes at the lens, LPLC2 and LC4 light up, the same cells a fly uses to dodge your swatter, while DNg02 at the far end sets climb and turn. Inside the brain there's no flight code, no PID loop and no line that says "avoid the bed." Tesla's self-driving learned from billions of miles of driving, and this pilot learned from 400 million years of flies that didn't get swatted. A real fly walks on 6 legs and flies on 2 wings, and this one got 4 wheels and 4 propellers. The fly is dead, the brain is a file, and the file just took off.

166,000 neurons from a dead fruit fly now pilot a robot that drives and flies. It's the wildest piece of engineering on the internet right now, and the pilot has been dead the whole time. The robot rolls across a bedroom floor like a toy until the wheels stop being wheels: 4 propellers inside the rims spin up, and it lifts off, hangs at desk height, turns and lands. The body came out of a cardboard box of drone parts, and the brain it copies is smaller than a poppy seed and was never designed by a human. Janelia and Google spent years turning 1 male fruit fly into a spreadsheet, with every neuron and up to 125M synapses labeled, and on September 3 they posted it free for anyone to download. To build it, the fly was cut into thousands of layers and traced cell by cell under an electron microscope. Camera frames get turned into what a fly's eyes would see. The spikes run through the real wiring, where each neuron is 1 equation that rests at -52 mV and fires at -45. When something rushes at the lens, LPLC2 and LC4 light up, the same cells a fly uses to dodge your swatter, while DNg02 at the far end sets climb and turn. Inside the brain there's no flight code, no PID loop and no line that says "avoid the bed." Tesla's self-driving learned from billions of miles of driving, and this pilot learned from 400 million years of flies that didn't get swatted. A real fly walks on 6 legs and flies on 2 wings, and this one got 4 wheels and 4 propellers. The fly is dead, the brain is a file, and the file just took off.

Spike 1%

54,969 次观看 • 4 天前

this is straight up the creepiest thing i’ve seen they wired 166,700 reconstructed fruit fly neurons into this android just to test movement, then the thing started doing something nobody asked for at first it was basic feedback. camera sees motion → fly network reacts → motors move. nothing crazy then it started turning toward people before they touched it the team thought it was sensor noise, so they killed the scripted behavior and ran the body again with only the fly network connected same thing head tracks a person across the room hand closes when someone gets too close body shifts when the lights go out the weirdest part came later they left the android alone for 17 minutes and the neural activity never settled. the fly network kept firing even with almost no new input, like it was running something internally 166,700 neurons is nothing next to a human brain but nobody told those neurons they were inside a human-shaped body either they wanted to see if a fly brain could control an android now they’re trying to figure out why it keeps looking back

this is straight up the creepiest thing i’ve seen they wired 166,700 reconstructed fruit fly neurons into this android just to test movement, then the thing started doing something nobody asked for at first it was basic feedback. camera sees motion → fly network reacts → motors move. nothing crazy then it started turning toward people before they touched it the team thought it was sensor noise, so they killed the scripted behavior and ran the body again with only the fly network connected same thing head tracks a person across the room hand closes when someone gets too close body shifts when the lights go out the weirdest part came later they left the android alone for 17 minutes and the neural activity never settled. the fly network kept firing even with almost no new input, like it was running something internally 166,700 neurons is nothing next to a human brain but nobody told those neurons they were inside a human-shaped body either they wanted to see if a fly brain could control an android now they’re trying to figure out why it keeps looking back

explos1ve

836,191 次观看 • 2 天前

Yes, everyone’s hyping the fly brain. So we gave a human-connectome model two sabers and RUSH E. 🧠⚔️ The wiring comes from a published human structural connectome derived from diffusion MRI tractography. Each node corresponds to a brain region, represented here by one simplified computational unit. We’re working at the scale of regions and their connections, not individual biological neurons. Encoded block information—position, direction and timing—enters visual-network nodes. A readout from the somatomotor network controls the sabers in our rhythm-game demo. The brain lighting up shows the model’s own changing states during gameplay. What should we make it play next?

Yes, everyone’s hyping the fly brain. So we gave a human-connectome model two sabers and RUSH E. 🧠⚔️ The wiring comes from a published human structural connectome derived from diffusion MRI tractography. Each node corresponds to a brain region, represented here by one simplified computational unit. We’re working at the scale of regions and their connections, not individual biological neurons. Encoded block information—position, direction and timing—enters visual-network nodes. A readout from the somatomotor network controls the sabers in our rhythm-game demo. The brain lighting up shows the model’s own changing states during gameplay. What should we make it play next?

Neurolab

12,924 次观看 • 9 天前

166,700 neurons from a dead fruit fly are loose in a living room, and nobody wrote a single thing they do. Scientists sliced a male fruit fly's nervous system into electron microscope images and traced every wire by hand: 166,700 neurons, 25.6 million synapses, brain and nerve cord, the whole animal, published for free. Most people read that paper, and 1 team downloaded the fly and gave it a body. The brain runs on a Mac, the fly lives in AR glasses, and the room itself became its senses, because Spectacles already map surfaces and depth and hands, so eyes turned into a 16 × 8 retina on each fly's head, distance into 12 rays against the world mesh, and smell into Gemini naming a tea cup, flowers, a water bottle while depth drops every label into 3D where the brain can reach it. A hand moving too fast became fear. They read the decisions out of the exact neurons a real fly uses, where DNa02 turns it, MDN walks it backwards, MN9 feeds and the giant fiber fires the escape. The CPU crawled, 50 ms of brain time in 238 ms, so they vibe coded a Metal GPU kernel with Claude Code and got identical spikes in 41 ms. The first builds stuttered until a Perfetto trace showed the GPU nearly idle while the main thread choked, and squashing the board text from 67 draw calls to 2 unlocked 55 to 60 fps with 2 brains running at once. In the video a fly lands on an open palm while another peels off a hand coming in fast. That dodge is in no script anywhere, and they only gave it eyes.

166,700 neurons from a dead fruit fly are loose in a living room, and nobody wrote a single thing they do. Scientists sliced a male fruit fly's nervous system into electron microscope images and traced every wire by hand: 166,700 neurons, 25.6 million synapses, brain and nerve cord, the whole animal, published for free. Most people read that paper, and 1 team downloaded the fly and gave it a body. The brain runs on a Mac, the fly lives in AR glasses, and the room itself became its senses, because Spectacles already map surfaces and depth and hands, so eyes turned into a 16 × 8 retina on each fly's head, distance into 12 rays against the world mesh, and smell into Gemini naming a tea cup, flowers, a water bottle while depth drops every label into 3D where the brain can reach it. A hand moving too fast became fear. They read the decisions out of the exact neurons a real fly uses, where DNa02 turns it, MDN walks it backwards, MN9 feeds and the giant fiber fires the escape. The CPU crawled, 50 ms of brain time in 238 ms, so they vibe coded a Metal GPU kernel with Claude Code and got identical spikes in 41 ms. The first builds stuttered until a Perfetto trace showed the GPU nearly idle while the main thread choked, and squashing the board text from 67 draw calls to 2 unlocked 55 to 60 fps with 2 brains running at once. In the video a fly lands on an open palm while another peels off a hand coming in fast. That dodge is in no script anywhere, and they only gave it eyes.

Spike 1%

11,196 次观看 • 10 天前

The full video from Cortical Labs explaining how they put 200,000 brain cells onto a silicon chip and had it play Doom is wild: “When a demon appears on the left of the screen, specific electrodes stimulate the sensory area of the neural culture on the left side. The neurons react to that stimulation. We then listen to their response, the spikes, and interpret that activity as motor commands. If the neurons fire in a specific pattern, the Doom guy shoots.”

The full video from Cortical Labs explaining how they put 200,000 brain cells onto a silicon chip and had it play Doom is wild: “When a demon appears on the left of the screen, specific electrodes stimulate the sensory area of the neural culture on the left side. The neurons react to that stimulation. We then listen to their response, the spikes, and interpret that activity as motor commands. If the neurons fire in a specific pattern, the Doom guy shoots.”

Trung Phan

234,032 次观看 • 6 个月前

Parsi: There is no doubt that we have now, after 20 years of hearing from the hawks, that the only solution is to go to war, we tried it. One third of the U.S. Navy was there in the region. This was not a small operation. This was a major operation short of an actual invasion, and it failed. There is just no doubt that the military operation was not a success. And hopefully, at a minimum, we will not be having that debate again. It has now been settled. It's no longer a theoretical or academic topic. It has been tried, proven to be a failure.

Parsi: There is no doubt that we have now, after 20 years of hearing from the hawks, that the only solution is to go to war, we tried it. One third of the U.S. Navy was there in the region. This was not a small operation. This was a major operation short of an actual invasion, and it failed. There is just no doubt that the military operation was not a success. And hopefully, at a minimum, we will not be having that debate again. It has now been settled. It's no longer a theoretical or academic topic. It has been tried, proven to be a failure.

Acyn

133,670 次观看 • 3 个月前

These ASSASSIN Robes tho?? I can’t believe Shadows is the first Assassin’s Creed in almost 10 YEARS since Syndicate that has you playing as an actual ASSASSIN. Not a “hidden one”, no proto-assassin, not a viking or a spartan, an actual ASSASSIN in ASSASSIN’S CREED, we made it😭

These ASSASSIN Robes tho?? I can’t believe Shadows is the first Assassin’s Creed in almost 10 YEARS since Syndicate that has you playing as an actual ASSASSIN. Not a “hidden one”, no proto-assassin, not a viking or a spartan, an actual ASSASSIN in ASSASSIN’S CREED, we made it😭

Synth Potato🥔

2,011,417 次观看 • 1 年前

I uploaded a fly brain and GPT-6 Astra into a Vector robot I bought on eBay Vector was supposed to be a desk pet. Now it has a reconstructed fruit fly nervous system running inside it. MaleCNS gives it 166,700 simulated neurons and 25.6 million connections. GPT-6 Astra gives it vision. Astra sees the room through Vector's camera - furniture, walls, doors, objects on the floor - and turns the visual scene into sensory signals. The fly brain processes those signals and chooses where Vector should go next. Astra sees. The fly brain decides. Vector moves. > No joystick > No preset route > No one manually telling it to turn left or right It started roaming around my apartment, stopping in front of furniture, changing direction, and reacting to things in its path. I bought it on eBay because it looked like a cute little WALL-E. Now it has a brain, eyes, and a body. And it keeps looking at me like it knows I’m the reason it exists.

I uploaded a fly brain and GPT-6 Astra into a Vector robot I bought on eBay Vector was supposed to be a desk pet. Now it has a reconstructed fruit fly nervous system running inside it. MaleCNS gives it 166,700 simulated neurons and 25.6 million connections. GPT-6 Astra gives it vision. Astra sees the room through Vector's camera - furniture, walls, doors, objects on the floor - and turns the visual scene into sensory signals. The fly brain processes those signals and chooses where Vector should go next. Astra sees. The fly brain decides. Vector moves. > No joystick > No preset route > No one manually telling it to turn left or right It started roaming around my apartment, stopping in front of furniture, changing direction, and reacting to things in its path. I bought it on eBay because it looked like a cute little WALL-E. Now it has a brain, eyes, and a body. And it keeps looking at me like it knows I’m the reason it exists.

kiruwaaaa

53,836 次观看 • 5 天前