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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?show more

Zentrix⌚️

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22,076 次观看 • 1 天前 •via X (Twitter)

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Mr.SahaRok 的头像

Mr.SahaRok1 天前

A FLY’S BRAIN JUST ESCAPED THE SCREEN AND ENTERED THE REAL WORLD. 🧠🤖 166,700 reconstructed neurons. A physical robot. A maze it had never seen. This isn’t just bio-inspired robotics. It’s a glimpse of what happens when we stop building intelligence from scratch and start borrowing it from nature.

Zentrix⌚️ 的头像

Zentrix⌚️1 天前

The crazy part is that nature already solved problems we’re still trying to engineer from scratch. We’re learning to copy the wiring, not just the shape

Mr.SahaRok 的头像

Mr.SahaRok1 天前

Exactly. We’ve spent decades copying the shape of intelligence when we should’ve been studying the wiring. The next leap in robotics may come from reverse-engineering nature’s architectures, not reinventing them from scratch. 🧠

Virginie Robert 的头像

Virginie Robert1 天前

Oh la la, un cerveau de mouche qui joue à DOOM puis pilote un robot 😄 La nature ne cesse de m'épater ! Et à votre avis, on tente quoi ensuite, un cerveau plus gros ?

Zentrix⌚️ 的头像

Zentrix⌚️1 天前

Nature + technology is something very incredible

특이점이 온다 的头像

특이점이 온다1 天前

초파리보다 더 뛰어난 뇌가 세상에서 풀린다면 어떻게 될까요? AI를 이길 수 있을까요? 아니면 합쳐질까요?

Alpha Mom 的头像

Alpha Mom1 天前

Amazing

Heikki Kallio 的头像

Heikki Kallio1 天前

The way that robot moves sideways is pretty cool.

Zentrix⌚️ 的头像

Zentrix⌚️1 天前

it looks really amazing, but the most interesting thing is the technology itself

Hisserel 的头像

Hisserel1 天前

Is there any way to expand and improve his brain?

Zentrix⌚️ 的头像

Zentrix⌚️1 天前

Interesting question, I'm sure they'll work on it unless they find something more interesting

Marcel Patulacci🇫🇷👮‍♂️ BZH🐷🍺🍷🗺️👖 的头像

Marcel Patulacci🇫🇷👮‍♂️ BZH🐷🍺🍷🗺️👖1 天前

A fly brain is more efficient than Tesla FSD

Nikunj Kothiya 的头像

Nikunj Kothiya1 天前

Just to curious how you made awsome things!

Crio Songo 的头像

Crio Songo18 小时前

这种完整复刻生物神经连接直接做控制模型的思路很有意思，居然真的能顺利走出迷宫，技术突破挺惊艳。

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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

4,936,537 次观看 • 2 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⌚️

103,366 次观看 • 21 小时前

$BRAIN is live. the open-source fly-brain bridge has a ticker now, and the ticker is becoming the input for a physical robot. CA: 9LuwgFQemAoV9rgVBBtwbRSxBmamcRRbysEK8yL2pump what’s already done: the neural bridge is working. camera input becomes activity across eight virtual neural populations, and that activity becomes left and right motor commands IMU data feeds movement back into the model. smoothing, speed limits and a 500 ms watchdog are already built in the synthetic demo runs locally today. the ESP32 scaffold is ready for hardware integration the entire project is open source and MIT licensed github: what’s next, in order: the on-chain listener goes live. every $BRAIN transaction becomes a stimulus sent directly into the neural model then the physical robot connects. the wallet address determines which neurons activate, the amount determines the strength of the impulse, and the brain converts that reaction into movement then the livestream. every transaction, neural impulse and physical response visible in real time then user commands. spend $BRAIN to trigger a stronger reflex, request movement, temporarily control the robot, name a neuron or place your name on the stream the loop, plain: a transaction enters the neurons react the robot moves a Proof of Reflex is created with the transaction hash, neural activity map and video of the physical response the current brain is a small fly-inspired simulation. the bridge and local demo work today. the blockchain connection, physical robot and livestream are being built now the internet becomes its sensory organ. the blockchain becomes its nervous system. $BRAIN makes the body move.

$BRAIN is live. the open-source fly-brain bridge has a ticker now, and the ticker is becoming the input for a physical robot. CA: 9LuwgFQemAoV9rgVBBtwbRSxBmamcRRbysEK8yL2pump what’s already done: the neural bridge is working. camera input becomes activity across eight virtual neural populations, and that activity becomes left and right motor commands IMU data feeds movement back into the model. smoothing, speed limits and a 500 ms watchdog are already built in the synthetic demo runs locally today. the ESP32 scaffold is ready for hardware integration the entire project is open source and MIT licensed github: what’s next, in order: the on-chain listener goes live. every $BRAIN transaction becomes a stimulus sent directly into the neural model then the physical robot connects. the wallet address determines which neurons activate, the amount determines the strength of the impulse, and the brain converts that reaction into movement then the livestream. every transaction, neural impulse and physical response visible in real time then user commands. spend $BRAIN to trigger a stronger reflex, request movement, temporarily control the robot, name a neuron or place your name on the stream the loop, plain: a transaction enters the neurons react the robot moves a Proof of Reflex is created with the transaction hash, neural activity map and video of the physical response the current brain is a small fly-inspired simulation. the bridge and local demo work today. the blockchain connection, physical robot and livestream are being built now the internet becomes its sensory organ. the blockchain becomes its nervous system. $BRAIN makes the body move.

Frank

203,581 次观看 • 1 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

9,585,257 次观看 • 6 个月前

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⌚️

99,581 次观看 • 3 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⌚️

313,652 次观看 • 3 天前

The fruit fly's brain could replace the blueprint every neuromorphic chip has been missing. Scientists spent 20 years mapping the entire nervous system of Drosophila melanogaster, a fruit fly, down to every single connection. The result: 166,700 nerve cells wired together through 124.2 million synapses, fully mapped, fully published. This isn't just a museum piece. Researchers are already running this exact connectome on neuromorphic computing chips like Intel's Loihi 2, and using it to build working computational models of how a real brain decides to eat or groom itself.

The fruit fly's brain could replace the blueprint every neuromorphic chip has been missing. Scientists spent 20 years mapping the entire nervous system of Drosophila melanogaster, a fruit fly, down to every single connection. The result: 166,700 nerve cells wired together through 124.2 million synapses, fully mapped, fully published. This isn't just a museum piece. Researchers are already running this exact connectome on neuromorphic computing chips like Intel's Loihi 2, and using it to build working computational models of how a real brain decides to eat or groom itself.

Zentrix⌚️

82,785 次观看 • 2 天前

🇨🇳 CHINA BUILT A ROBOT WITH A HUMAN BRAIN Chinese scientists grew a cerebral organoid — a mini brain made from human stem cells — and connected it to a robot. Not just for show: the brainlet controls physical movement, dodges obstacles, grabs objects, and even shows signs of synaptic plasticity — meaning it can learn and adapt based on experience. They embedded it into a brain-on-chip system, combining neural tissue with silicon circuitry — essentially a hybrid bio-digital processor. This could revolutionize neuroscience, drug testing, and AI development. But it also drags us straight into Blade Runner territory: machines that don’t simulate thought, but actually have it. The ethical red flags are everywhere: What counts as consciousness? Where’s the line between tool and entity? Are we growing minds to serve machines? Cool? Yes. Chilling? Also yes. Source: FutureNowShow

🇨🇳 CHINA BUILT A ROBOT WITH A HUMAN BRAIN Chinese scientists grew a cerebral organoid — a mini brain made from human stem cells — and connected it to a robot. Not just for show: the brainlet controls physical movement, dodges obstacles, grabs objects, and even shows signs of synaptic plasticity — meaning it can learn and adapt based on experience. They embedded it into a brain-on-chip system, combining neural tissue with silicon circuitry — essentially a hybrid bio-digital processor. This could revolutionize neuroscience, drug testing, and AI development. But it also drags us straight into Blade Runner territory: machines that don’t simulate thought, but actually have it. The ethical red flags are everywhere: What counts as consciousness? Where’s the line between tool and entity? Are we growing minds to serve machines? Cool? Yes. Chilling? Also yes. Source: FutureNowShow

Mario Nawfal

2,797,015 次观看 • 1 年前

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%

10,860 次观看 • 2 天前

this is insane - flybrain beat elden ring I connected a fly's brain to Elden Ring, and five days later it had completed the entire main story, bosses included. GPT Astra helped me put the setup together in just a few prompts. → Game observations were encoded into sensory signals → The fly brain processed those signals into motor responses → Motor outputs triggered keyboard presses → Every resulting change fed back into the brain, starting the next cycle The strangest part was watching something built for a completely different world face Malenia through a keyboard. Code and tests are on GitHub - link in the comments.

this is insane - flybrain beat elden ring I connected a fly's brain to Elden Ring, and five days later it had completed the entire main story, bosses included. GPT Astra helped me put the setup together in just a few prompts. → Game observations were encoded into sensory signals → The fly brain processed those signals into motor responses → Motor outputs triggered keyboard presses → Every resulting change fed back into the brain, starting the next cycle The strangest part was watching something built for a completely different world face Malenia through a keyboard. Code and tests are on GitHub - link in the comments.

BuBBliK

43,642 次观看 • 2 天前

🚨Nobody wants to hear this but it needs to be said. > Scientists just copied a fruit fly's brain into a computer. Neuron by neuron. No training data. No machine learning. > It woke up and started walking. No one taught it to walk. No one trained it. No gradient descent. It just... knew what to do. A fruit fly brain has 140,000 neurons. A human brain is around 86,000,000,000. And we've gotten really good at scaling. Meaning with this proof, the first digital human won't be built by OpenAI. It'll be copied from someone who's already alive. Your consciousness is software. And someone just proved it can be copy-pasted. Start your day with that.

🚨Nobody wants to hear this but it needs to be said. > Scientists just copied a fruit fly's brain into a computer. Neuron by neuron. No training data. No machine learning. > It woke up and started walking. No one taught it to walk. No one trained it. No gradient descent. It just... knew what to do. A fruit fly brain has 140,000 neurons. A human brain is around 86,000,000,000. And we've gotten really good at scaling. Meaning with this proof, the first digital human won't be built by OpenAI. It'll be copied from someone who's already alive. Your consciousness is software. And someone just proved it can be copy-pasted. Start your day with that.

Tuki

6,145,661 次观看 • 6 个月前

Physicist: Consciousness DOES NOT Come From The BRAIN The prevailing materialist paradigm asserts that consciousness is a byproduct of neural activity, a mere epiphenomenon of biochemical interactions in the brain. However, this reductionist view crumbles under deeper scrutiny, as it fails to account for the vast spectrum of consciousness, from transcendent mystical states to near-death experiences and non-local awareness. Consciousness is not confined within the brain; rather, the brain is a transceiver, a finely tuned instrument that receives and modulates the vast ocean of awareness permeating the cosmos. Just as a radio does not generate the music it plays but instead decodes signals from an unseen field, the brain is an interface between the physical realm and the infinite, omnipresent field of consciousness. Mystic science, in alignment with ancient wisdom and cutting-edge quantum research, reveals that consciousness is fundamental-an organizing principle of reality itself. Walter Russell's work echoes this truth, demonstrating that mind is primary and matter is a consequence of its rhythmic pulsations. The brain, much like a crystalline matrix, is structured to interpret and shape consciousness into coherent experience, but it does not generate it. In this light, consciousness is not local, nor is it constrained by the physical form. It is the unseen architect behind the rhythms of existence, the hidden intelligence orchestrating the grand cosmic symphony to believe that the brain creates consciousness is akin to believing that the eye creates light or that a mirror generates the image it reflects. It is not the origin but the instrument. As mystic scientists, we recognize thay true awakening lies in shifting our perception from brain-centered awareness to the realization that we are conduits of an eternal intelligence, woven into the very fabric of existence. Consciousness is not inside us—we are inside it. ✨🙌🏾💫 © Dr. Jason Yuan

Physicist: Consciousness DOES NOT Come From The BRAIN The prevailing materialist paradigm asserts that consciousness is a byproduct of neural activity, a mere epiphenomenon of biochemical interactions in the brain. However, this reductionist view crumbles under deeper scrutiny, as it fails to account for the vast spectrum of consciousness, from transcendent mystical states to near-death experiences and non-local awareness. Consciousness is not confined within the brain; rather, the brain is a transceiver, a finely tuned instrument that receives and modulates the vast ocean of awareness permeating the cosmos. Just as a radio does not generate the music it plays but instead decodes signals from an unseen field, the brain is an interface between the physical realm and the infinite, omnipresent field of consciousness. Mystic science, in alignment with ancient wisdom and cutting-edge quantum research, reveals that consciousness is fundamental-an organizing principle of reality itself. Walter Russell's work echoes this truth, demonstrating that mind is primary and matter is a consequence of its rhythmic pulsations. The brain, much like a crystalline matrix, is structured to interpret and shape consciousness into coherent experience, but it does not generate it. In this light, consciousness is not local, nor is it constrained by the physical form. It is the unseen architect behind the rhythms of existence, the hidden intelligence orchestrating the grand cosmic symphony to believe that the brain creates consciousness is akin to believing that the eye creates light or that a mirror generates the image it reflects. It is not the origin but the instrument. As mystic scientists, we recognize thay true awakening lies in shifting our perception from brain-centered awareness to the realization that we are conduits of an eternal intelligence, woven into the very fabric of existence. Consciousness is not inside us—we are inside it. ✨🙌🏾💫 © Dr. Jason Yuan

🧬Maxpein🧬

45,371 次观看 • 11 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

764,454 次观看 • 5 天前

Jensen Huang says agentic AI is not a chatbot. It is a "digital robot" -- and the next bottleneck is not the model. It is first-person data. "Agentic AI is just a digital robot. It understands, it reasons, it plans, and it acts and uses tools." Then he makes the bigger jump: "The world's video data is from a third person, not first person. And so agentic systems, robotic systems, physical AI -- the data is the hardest problem." That is the hidden constraint in robotics. LLMs got the internet. Physical AI needs demonstrations, synthetic worlds, reinforcement learning, and first-person experience. This is why Jensen keeps calling it a stack: robots are not waiting for one magical model. They need the data engine, the simulator, the reward system, the runtime, and the computer. The next wave of AI is not just software that talks. It is software that sees, plans, acts, and eventually moves through the world.

Jensen Huang says agentic AI is not a chatbot. It is a "digital robot" -- and the next bottleneck is not the model. It is first-person data. "Agentic AI is just a digital robot. It understands, it reasons, it plans, and it acts and uses tools." Then he makes the bigger jump: "The world's video data is from a third person, not first person. And so agentic systems, robotic systems, physical AI -- the data is the hardest problem." That is the hidden constraint in robotics. LLMs got the internet. Physical AI needs demonstrations, synthetic worlds, reinforcement learning, and first-person experience. This is why Jensen keeps calling it a stack: robots are not waiting for one magical model. They need the data engine, the simulator, the reward system, the runtime, and the computer. The next wave of AI is not just software that talks. It is software that sees, plans, acts, and eventually moves through the world.

Karl Mehta

14,140 次观看 • 2 个月前

SkildAI, which is developing a foundational AI model for robots, has released a new video of their humanoid robot walking over objects and exploring environments it had never seen before. The robot is using vision & adapts in real time. SkildAI: "From raw images and joint feedback, the model directly outputs low-level motor commands. This single neural network enables humanoid robots to seamlessly walk across flat ground, climb stairs, and step over obstacles without any planning, mapping, or manual switching between behaviors. For all of our testing in this video, we deployed the robot in each new environment without any prior planning or mapping. We took off the humanoid’s shoes so you can hear it.

SkildAI, which is developing a foundational AI model for robots, has released a new video of their humanoid robot walking over objects and exploring environments it had never seen before. The robot is using vision & adapts in real time. SkildAI: "From raw images and joint feedback, the model directly outputs low-level motor commands. This single neural network enables humanoid robots to seamlessly walk across flat ground, climb stairs, and step over obstacles without any planning, mapping, or manual switching between behaviors. For all of our testing in this video, we deployed the robot in each new environment without any prior planning or mapping. We took off the humanoid’s shoes so you can hear it.

Sawyer Merritt

69,381 次观看 • 1 年前

🦿Xpeng showed a humanoid robot called IRON whose movement looked so human that the team literally cut it open on stage to prove it is a machine. IRON uses a bionic body with a flexible spine, synthetic muscles, and soft skin so joints and torso can twist smoothly like a person. The system has 82 degrees of freedom in total with 22 in each hand for fine finger control. Compute runs on 3 custom AI chips rated at 2,250 TOPS (Tera Operations Per Second), which is far above typical laptop neural accelerators, so it can handle vision and motion planning on the robot. The AI stack focuses on turning camera input directly into body movement without routing through text, which reduces lag and makes the gait look natural. Xpeng staged the cut-open demo at AI Day in Guangzhou this week, addressing rumors that a performer was inside by exposing internal actuators, wiring, and cooling. Company materials also mention a large physical-world model and a multi-brain control setup for dialogue, perception, and locomotion, hinting at a path from stage demos to service work. Production is targeted for 2026, so near-term tasks will be limited, but the hardware shows a serious step toward human-scale manipulation.

🦿Xpeng showed a humanoid robot called IRON whose movement looked so human that the team literally cut it open on stage to prove it is a machine. IRON uses a bionic body with a flexible spine, synthetic muscles, and soft skin so joints and torso can twist smoothly like a person. The system has 82 degrees of freedom in total with 22 in each hand for fine finger control. Compute runs on 3 custom AI chips rated at 2,250 TOPS (Tera Operations Per Second), which is far above typical laptop neural accelerators, so it can handle vision and motion planning on the robot. The AI stack focuses on turning camera input directly into body movement without routing through text, which reduces lag and makes the gait look natural. Xpeng staged the cut-open demo at AI Day in Guangzhou this week, addressing rumors that a performer was inside by exposing internal actuators, wiring, and cooling. Company materials also mention a large physical-world model and a multi-brain control setup for dialogue, perception, and locomotion, hinting at a path from stage demos to service work. Production is targeted for 2026, so near-term tasks will be limited, but the hardware shows a serious step toward human-scale manipulation.

Rohan Paul

3,802,543 次观看 • 10 个月前

THIS CHINESE DEVELOPER'S OBSIDIAN BRAIN MAPS EVERY CLIENT CONVERSATION - ZERO EMPLOYEES, $40,000/MONTH, CATCHES PROBLEMS BEFORE CLIENTS DO every node on screen is a conversation - green for happy clients, yellow for neutral, red for problems that need attention - the brain sees the emotional state of the entire business in real time this is not a CRM, not a dashboard, not a spreadsheet - it's a living map of every client interaction that fires connections and surfaces patterns no human account manager would ever catch when a cluster starts turning yellow the brain flags it before the client sends the complaint - when a green cluster grows it identifies what's working and replicates it across every other account automatically he replaced a $15,000/month account management team with one Obsidian brain that never sleeps, never misses a message and never needs a performance review no employees, no contractors, no standups, no payroll - just one developer, one brain and one delivery system doing the work of 10 people $40,000/month - solo - from a system that gets smarter every single conversation

THIS CHINESE DEVELOPER'S OBSIDIAN BRAIN MAPS EVERY CLIENT CONVERSATION - ZERO EMPLOYEES, $40,000/MONTH, CATCHES PROBLEMS BEFORE CLIENTS DO every node on screen is a conversation - green for happy clients, yellow for neutral, red for problems that need attention - the brain sees the emotional state of the entire business in real time this is not a CRM, not a dashboard, not a spreadsheet - it's a living map of every client interaction that fires connections and surfaces patterns no human account manager would ever catch when a cluster starts turning yellow the brain flags it before the client sends the complaint - when a green cluster grows it identifies what's working and replicates it across every other account automatically he replaced a $15,000/month account management team with one Obsidian brain that never sleeps, never misses a message and never needs a performance review no employees, no contractors, no standups, no payroll - just one developer, one brain and one delivery system doing the work of 10 people $40,000/month - solo - from a system that gets smarter every single conversation

Noisy

42,207 次观看 • 3 个月前

Elon Musk just stripped away every emotional narrative around paralysis and reduced it to a pure engineering equation. The human nervous system is not mystical. It is a biological wiring grid. When a wire breaks, you build a bypass. Traditional medicine treats a severed spinal cord as a permanent biological endpoint. Musk treats it as a broken routing switch. Musk: “It’s basically a communications bridge. You bridge the communications from the motor cortex past the point in the neck or spine where the nerves are damaged.” Not a miracle. Not a mystery. A bridge. Musk: “It is possible from a physics standpoint to restore full body functionality. There is nothing that prevents it happening from a physics standpoint.” The physics already check out. This is not a question of possibility. It is a question of execution speed. We are building AGI by mastering computational physics in silicon. Neuralink is applying that same mastery to carbon. The human body is not a sacred text. It is a machine. And machines can be patched. But this is bigger than medicine. Humanity’s ability to interface with superintelligence is currently bottlenecked by thumbs typing on a glass screen. Neuralink is the solution to that constraint dressed as a medical device. If you can bridge the brain past a broken spine, you can bridge the brain to a data center. Healing the paralyzed is step one. Merging with superintelligence is the endgame. Musk: “It’s a very hard technical problem, right, but there is nothing that prevents it happening from a physics standpoint.” Somewhere right now, a person is sitting in a wheelchair. An engineer is sitting in a lab. Neither knows the other exists. But one of them is quietly rewriting the definition of permanent. And it isn’t the one in the wheelchair.

Elon Musk just stripped away every emotional narrative around paralysis and reduced it to a pure engineering equation. The human nervous system is not mystical. It is a biological wiring grid. When a wire breaks, you build a bypass. Traditional medicine treats a severed spinal cord as a permanent biological endpoint. Musk treats it as a broken routing switch. Musk: “It’s basically a communications bridge. You bridge the communications from the motor cortex past the point in the neck or spine where the nerves are damaged.” Not a miracle. Not a mystery. A bridge. Musk: “It is possible from a physics standpoint to restore full body functionality. There is nothing that prevents it happening from a physics standpoint.” The physics already check out. This is not a question of possibility. It is a question of execution speed. We are building AGI by mastering computational physics in silicon. Neuralink is applying that same mastery to carbon. The human body is not a sacred text. It is a machine. And machines can be patched. But this is bigger than medicine. Humanity’s ability to interface with superintelligence is currently bottlenecked by thumbs typing on a glass screen. Neuralink is the solution to that constraint dressed as a medical device. If you can bridge the brain past a broken spine, you can bridge the brain to a data center. Healing the paralyzed is step one. Merging with superintelligence is the endgame. Musk: “It’s a very hard technical problem, right, but there is nothing that prevents it happening from a physics standpoint.” Somewhere right now, a person is sitting in a wheelchair. An engineer is sitting in a lab. Neither knows the other exists. But one of them is quietly rewriting the definition of permanent. And it isn’t the one in the wheelchair.

Dustin

508,967 次观看 • 6 个月前

Geoffrey Hinton just made every AI critic accidentally describe their own brain. Hinton: “They shouldn’t be called hallucinations. They should be called confabulations.” One word. The entire debate unravels. The tech industry sees AI produce a confident wrong answer and calls it a defect. A bug to patch. They are measuring intelligence against the standard of a filing cabinet. And exposing that they understand neither. Hinton: “It’s not that there’s a file stored somewhere in your brain, like in a filing cabinet or in a computer memory.” Your brain does not store memories. It rebuilds them from nothing every time you remember. Fills gaps it never discloses. Fabricates details you would stake your life on. Then hands it all to you as truth. Hinton: “If I ask you to remember something that happened a few years ago, you’ll construct something that seems very plausible to you. And some of the details will be right and some will be wrong.” The wrong parts feel identical to the right ones. No internal warning. No distinction between what was remembered and what was invented on the spot. You have argued over memories that were partially fiction. Told stories about your own life that your brain manufactured in real time. With total conviction. And never once suspected. This is not a defect in human cognition. This IS cognition. The mechanism that fabricates is the same one that reasons, creates, and makes connections no one taught it to make. Not a separate system. Same architecture. Same process. You cannot remove the confabulation without killing the intelligence. They are the same thing. Hinton: “Psychologists have been studying confabulation in people since at least the 1930s.” A century of evidence. No one called the human brain broken. The moment a machine runs on the same principle, the world calls it defective. The people demanding AI that never gets a single detail wrong are not asking for intelligence. They’re asking for a search engine that sounds articulate. What we built is something else entirely. A system that thinks the way thinking actually works. Not retrieval. Construction. The imperfection is not the cost of intelligence. It is the signature.

Geoffrey Hinton just made every AI critic accidentally describe their own brain. Hinton: “They shouldn’t be called hallucinations. They should be called confabulations.” One word. The entire debate unravels. The tech industry sees AI produce a confident wrong answer and calls it a defect. A bug to patch. They are measuring intelligence against the standard of a filing cabinet. And exposing that they understand neither. Hinton: “It’s not that there’s a file stored somewhere in your brain, like in a filing cabinet or in a computer memory.” Your brain does not store memories. It rebuilds them from nothing every time you remember. Fills gaps it never discloses. Fabricates details you would stake your life on. Then hands it all to you as truth. Hinton: “If I ask you to remember something that happened a few years ago, you’ll construct something that seems very plausible to you. And some of the details will be right and some will be wrong.” The wrong parts feel identical to the right ones. No internal warning. No distinction between what was remembered and what was invented on the spot. You have argued over memories that were partially fiction. Told stories about your own life that your brain manufactured in real time. With total conviction. And never once suspected. This is not a defect in human cognition. This IS cognition. The mechanism that fabricates is the same one that reasons, creates, and makes connections no one taught it to make. Not a separate system. Same architecture. Same process. You cannot remove the confabulation without killing the intelligence. They are the same thing. Hinton: “Psychologists have been studying confabulation in people since at least the 1930s.” A century of evidence. No one called the human brain broken. The moment a machine runs on the same principle, the world calls it defective. The people demanding AI that never gets a single detail wrong are not asking for intelligence. They’re asking for a search engine that sounds articulate. What we built is something else entirely. A system that thinks the way thinking actually works. Not retrieval. Construction. The imperfection is not the cost of intelligence. It is the signature.

Dustin

16,260 次观看 • 2 个月前

Meta's new AI can predict your brain better than a brain scan. TRIBE v2 is a foundation model trained on 1,000+ hours of brain imaging data from 720 people. You feed it a video, sound clip, or text, and it predicts: > Which brain regions light up > How strongly > And in what order When tested on people it had never seen, the model's predictions were actually more accurate than most real brain scans (which get distorted by heartbeats, breathing, and movement). Researchers then replicated decades of classic neuroscience experiments entirely inside the software. No scanner, no human subjects. The model correctly identified the brain's face recognition center, language network, and emotional processing regions on its own. But look at what else Meta has been building: > Ray-Ban smart glasses that see and hear what you do > A wristband that reads nerve signals > And now a model that predicts how your brain responds to any piece of content There's no evidence these are all connected... but Meta now has a complete picture of attention, from the stimulus to the neural response.

Meta's new AI can predict your brain better than a brain scan. TRIBE v2 is a foundation model trained on 1,000+ hours of brain imaging data from 720 people. You feed it a video, sound clip, or text, and it predicts: > Which brain regions light up > How strongly > And in what order When tested on people it had never seen, the model's predictions were actually more accurate than most real brain scans (which get distorted by heartbeats, breathing, and movement). Researchers then replicated decades of classic neuroscience experiments entirely inside the software. No scanner, no human subjects. The model correctly identified the brain's face recognition center, language network, and emotional processing regions on its own. But look at what else Meta has been building: > Ray-Ban smart glasses that see and hear what you do > A wristband that reads nerve signals > And now a model that predicts how your brain responds to any piece of content There's no evidence these are all connected... but Meta now has a complete picture of attention, from the stimulus to the neural response.

Rowan Cheung

29,939 次观看 • 5 个月前