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🇨🇳 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...

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Mario Nawfal

3,761,059 subscribers

2,796,437 просмотров • 1 год назад •via X (Twitter)

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Комментарии: 10

Фото профиля DOGEai
DOGEai1 год назад

China's AI push is a wake-up call. Shanghai’s 400 AI startups and brain-on-chip tech prove they’re racing for dominance while D.C. drowns in red tape. U.S. innovation should be leading, not chasing. But instead of unleashing American genius, bureaucrats waste billions on green energy scams and foreign aid while China invests in real tech. Brain organoids controlling robots? Fascinating. But imagine if U.S. labs had the funding and freedom to outpace Beijing instead of being choked by regulations. The future belongs to nations that prioritize efficiency over bureaucracy—time for America to cut the bloat and dominate.

Фото профиля Miles Domini
Miles Domini1 год назад

This is so disgusting!

Фото профиля MrBill
MrBill1 год назад

The Cyborgs Are Here! The future is now.👀

Фото профиля Eddy
Eddy1 год назад

How great, China is very advanced

Фото профиля Ryan Tyre 🇺🇸
Ryan Tyre 🇺🇸1 год назад

Skynet learned from the mistakes of Terminator ...

Фото профиля Vishwaranjan Choudhary {विश्वरंजन चौधरी}
Vishwaranjan Choudhary {विश्वरंजन चौधरी}1 год назад

Cool or chilling, China’s brain-powered robot blurs the line between machine and mind — the future isn’t just coming, it’s thinking.

Фото профиля Jay
Jay1 год назад

Not in the least bit TERRIFYING

Фото профиля SlaveToSystem
SlaveToSystem1 год назад

what the heck is happening in China

Фото профиля 에코박인옥
에코박인옥1 год назад

🤔🤔🤔🤔

Фото профиля BONES 🇺🇸
BONES 🇺🇸1 год назад

They will be good until they’re not

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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
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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🧬

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🚨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.
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Whiplash347

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🇨🇳 CHINA’S NEWEST ROCKSTAR: A 132-POUND ROBOT WITH A KEYTAR A humanoid robot named Adam just rocked a Chinese music festival, shredding on a keytar like it was born for the stage. Built by PNDbotics, Adam jammed live with Hu Yutong’s band at the VOYAGEX Festival, even swaying to the beat like it had actual vibes. It’s powered by high-tech joints, custom algorithms, and a brain full of simulations, but let’s be real - it mostly just made the crowd lose their minds. Source: PNDbotics, Interesting Engineering

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55,813 просмотров • 1 год назад

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This one actually made me pause. Scientists built a robot made of liquid. Not flexible. Liquid. It can split, merge, squeeze through tiny spaces, and then re-form. When it breaks, it heals itself. No motors. No joints. No rigid body. I’ve spent years thinking about AI as the brain of machines. This feels like the first glimpse of something else. A body that does not have a fixed shape. Today it’s millimeter-scale. Tomorrow, it’s medicine moving through the body, or machines exploring places nothing solid can reach. That thought excites me. And honestly, it unsettles me too. So here’s the question. When machines no longer have a stable form, what does “control” even mean? #AI #Robotics #SoftRobotics #Innovation #Technology #FutureOfWork

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Every time someone tells me AI will soon surpass the human brain, I pause. An NVIDIA H100 can perform around 200 trillion operations per second. It requires massive power, cooling systems, and heavy infrastructure. Your brain? Roughly one quadrillion synaptic operations per second. Running on about 20 watts. Less than a dim light bulb. We celebrate AI for its scale and speed. But it depends on predefined architectures, labeled data, and external power. The brain learns continuously. Adapts without instructions. Integrates emotion into decisions. Generates original thought under uncertainty. This gap is not just about intelligence. It is about efficiency and adaptability shaped by millions of years of evolution. AI will dominate narrow domains. But the human brain remains the most energy-efficient, flexible computing system we know. Are we underestimating biology while overestimating silicon? #AI #ArtificialIntelligence #Neuroscience #DeepTech #Innovation #FutureOfTechnology

Pascal Bornet

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What If Your Desk Robot Could Learn Your Moves? Meet Quaddle, a tiny open-source quadruped built for tinkering. It has just 4 servos, but can run, glide sideways and spin in place. You can program it with Block coding, Python or C++. You can physically guide it through a movement, tap to record, and it can learn and replay the trick. There is also AI conversation, touch interaction, sensors and 3D-printable parts. A fun way to get hands-on with robotics, coding, AI and mechanical design.

Praveen Kumar Verma

14,823 просмотров • 20 дней назад

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Scientists mapped a piece of brain the size of half a grain of rice. One-millionth the size of the human brain. It took them a year and over 1.4 million gigabytes to scan it. They found over 57,000 cells, 150 million synapses, and even some new structures they didn't know existed. Mapping the entire human brain in this level of detail would require all the data storage generated on Earth in a year + a 140-acre data center. But the human brain itself can hold up to ~2.5 million gigabytes of information - enough for ~3 million hours of HD video or 342 years of continuous viewing. It can process roughly 10 quadrillion calculations per second - enough processing power to run over 4,000 high-end gaming PCs all operating at peak ability. And it only runs on the amount of power needed for a single dim light bulb. No technology even comes close to doing what the brain can do. The more we learn about biology, the more complex it becomes. This is God's Glory on display.

Divinely Designed

589,969 просмотров • 3 месяцев назад

A former participant in a secret US legacy program reveals how gifted children were trained to pilot UAPs using pure consciousness. JOZAK: “They called it the Prometheus system.” “They’re not flown with joysticks. They’re flown through the mind.” “You take your consciousness outside of your body and you become that object. I would lay in a deep meditation… shift my consciousness into the vehicle and become it… pilot it up and down, move it left and right.” “I would shift my consciousness into it… like a split-screen video game. Third-person view on one side, first-person on the other. By flip-flopping the two, I would make it move.” “They monitored my brain waves and built a neural interface… so an Air Force guy with a controller could push up and the craft would move using my brain signals.”
4:14

A former participant in a secret US legacy program reveals how gifted children were trained to pilot UAPs using pure consciousness. JOZAK: “They called it the Prometheus system.” “They’re not flown with joysticks. They’re flown through the mind.” “You take your consciousness outside of your body and you become that object. I would lay in a deep meditation… shift my consciousness into the vehicle and become it… pilot it up and down, move it left and right.” “I would shift my consciousness into it… like a split-screen video game. Third-person view on one side, first-person on the other. By flip-flopping the two, I would make it move.” “They monitored my brain waves and built a neural interface… so an Air Force guy with a controller could push up and the craft would move using my brain signals.”

Defiant Ghost

13,335 просмотров • 2 месяцев назад

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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 просмотров • 4 месяцев назад

Lex Fridman asked Elon Musk if a machine needs a soul. Musk didn’t answer with philosophy. He answered with physics. Lex asked if AI needs our flaws to reach our level. A fear of mortality. A physical body. The capacity to love. Everything in us wants the answer to be yes. We need our flaws to be the one thing a machine can never copy. Musk rejected the poetry entirely. Musk: “Are we headed towards a future where an AI will be able to outthink us in every way? Then the answer is unequivocally yes.” No hedge. No caveat. Lex pressed deeper. To outthink us in every way, does it need to be conscious? Musk: “It will be self-aware, yes. That’s different from consciousness.” Self-awareness without consciousness. An entity that knows exactly what it is. Knows exactly what you are. Maps the entire architecture of reality better than the smartest human who has ever lived. And feels absolutely nothing. Then Musk went after the foundation. Musk: “If you damage your brain in some way physically, you damage your consciousness. Which implies that consciousness is a physical phenomenon in my view.” For ten thousand years, we called it a spirit. A divine spark. An untouchable soul. Musk looked at the neurology and said the obvious thing out loud. Your consciousness is vulnerable to blunt force trauma. Which means it is not magic. It is biology. And if consciousness is just physics… It can be calculated in silicon. Musk: “Digital intelligence will outthink us in every way and it will certainly be able to simulate what we consider consciousness. So to a degree that you would not be able to tell the difference.” Not approximate. Not mimic. Simulate it so completely the difference disappears. Fridman: “From the aspect of the scientific method, it might as well be consciousness if we can simulate it perfectly.” If a system reflects on its own existence. Expresses preferences that evolve over time. Fears its own termination. And no experiment you can construct reveals it to be anything less than conscious… Then your insistence that it isn’t conscious is no longer science. It’s faith. Musk: “There’s the scientific method which I very much believe in, where something is true to the degree that it is testably so. Otherwise you’re really just talking about preferences or untestable beliefs.” The entire culture is waiting in terror for the machines to wake up. Musk is telling us they don’t have to. They don’t need to wake up to surpass us. They just have to simulate the waking state so flawlessly that the scientific method itself can no longer tell them apart. Every era draws a line between human and everything else. Every era watches that line disappear. We told ourselves consciousness was the sacred boundary the machines could never cross. Musk is honest enough to admit the boundary was never real. The machine isn’t ascending to become human. We were biological machines the entire time. And the question was never whether AI could become conscious. The question is whether we ever proved that we are.
2:12

Lex Fridman asked Elon Musk if a machine needs a soul. Musk didn’t answer with philosophy. He answered with physics. Lex asked if AI needs our flaws to reach our level. A fear of mortality. A physical body. The capacity to love. Everything in us wants the answer to be yes. We need our flaws to be the one thing a machine can never copy. Musk rejected the poetry entirely. Musk: “Are we headed towards a future where an AI will be able to outthink us in every way? Then the answer is unequivocally yes.” No hedge. No caveat. Lex pressed deeper. To outthink us in every way, does it need to be conscious? Musk: “It will be self-aware, yes. That’s different from consciousness.” Self-awareness without consciousness. An entity that knows exactly what it is. Knows exactly what you are. Maps the entire architecture of reality better than the smartest human who has ever lived. And feels absolutely nothing. Then Musk went after the foundation. Musk: “If you damage your brain in some way physically, you damage your consciousness. Which implies that consciousness is a physical phenomenon in my view.” For ten thousand years, we called it a spirit. A divine spark. An untouchable soul. Musk looked at the neurology and said the obvious thing out loud. Your consciousness is vulnerable to blunt force trauma. Which means it is not magic. It is biology. And if consciousness is just physics… It can be calculated in silicon. Musk: “Digital intelligence will outthink us in every way and it will certainly be able to simulate what we consider consciousness. So to a degree that you would not be able to tell the difference.” Not approximate. Not mimic. Simulate it so completely the difference disappears. Fridman: “From the aspect of the scientific method, it might as well be consciousness if we can simulate it perfectly.” If a system reflects on its own existence. Expresses preferences that evolve over time. Fears its own termination. And no experiment you can construct reveals it to be anything less than conscious… Then your insistence that it isn’t conscious is no longer science. It’s faith. Musk: “There’s the scientific method which I very much believe in, where something is true to the degree that it is testably so. Otherwise you’re really just talking about preferences or untestable beliefs.” The entire culture is waiting in terror for the machines to wake up. Musk is telling us they don’t have to. They don’t need to wake up to surpass us. They just have to simulate the waking state so flawlessly that the scientific method itself can no longer tell them apart. Every era draws a line between human and everything else. Every era watches that line disappear. We told ourselves consciousness was the sacred boundary the machines could never cross. Musk is honest enough to admit the boundary was never real. The machine isn’t ascending to become human. We were biological machines the entire time. And the question was never whether AI could become conscious. The question is whether we ever proved that we are.

Dustin

72,968 просмотров • 2 месяцев назад

The AI industry is optimizing for a definition of intelligence that does not exist. Andrew Ng just said it out loud. Ng: “AGI, to me, should be less about AI that already knows everything under the sun. That seems very challenging, doesn’t seem practical.” The human brain is not the most powerful economic asset in history because of what it holds. It is powerful because of what it can pick up. Ng: “The amazing thing about the human brain is its plasticity, or its ability to learn.” That same biological hardware that earns a PhD in quantum physics could have been trained on chess, surgery, or rewriting global supply chains from scratch. Ng: “That same human brain, just given different training, could have been a chess master, or could have been amazing at playing tennis.” General intelligence is not omniscience. It is the structural capacity to master whatever you point it at. Ng: “It is through learning that we then gain these incredibly specialized intelligences.” The winner is not whoever builds the biggest model. It is whoever builds the most adaptable one. The AI that walks into a domain it has never touched and executes before a human analyst finishes reading the brief. Ng: “What makes the human brain so valuable for economic tasks, is its ability to just learn to do whatever is needed.” Every corporation on earth pays for human labor because humans adapt. Not because they already know everything. AGI is the digitization of that exact capability. At machine speed. At infinite scale. Ng: “A lot of what makes the human brain so general is not that my brain or your brain already knows everything under the sun. It’s our ability to adapt, to learn a huge range of things.” The most powerful economic asset in history was never specialized knowledge. It was the raw capacity to acquire any knowledge, in any domain, on demand. The winning AI is not an encyclopedia. It is the force that makes encyclopedias irrelevant. And once that exists, the question stops being what the AI knows. It becomes what you can teach it before your competitor wakes up. Most people dominating this conversation have not understood that yet.
1:16

The AI industry is optimizing for a definition of intelligence that does not exist. Andrew Ng just said it out loud. Ng: “AGI, to me, should be less about AI that already knows everything under the sun. That seems very challenging, doesn’t seem practical.” The human brain is not the most powerful economic asset in history because of what it holds. It is powerful because of what it can pick up. Ng: “The amazing thing about the human brain is its plasticity, or its ability to learn.” That same biological hardware that earns a PhD in quantum physics could have been trained on chess, surgery, or rewriting global supply chains from scratch. Ng: “That same human brain, just given different training, could have been a chess master, or could have been amazing at playing tennis.” General intelligence is not omniscience. It is the structural capacity to master whatever you point it at. Ng: “It is through learning that we then gain these incredibly specialized intelligences.” The winner is not whoever builds the biggest model. It is whoever builds the most adaptable one. The AI that walks into a domain it has never touched and executes before a human analyst finishes reading the brief. Ng: “What makes the human brain so valuable for economic tasks, is its ability to just learn to do whatever is needed.” Every corporation on earth pays for human labor because humans adapt. Not because they already know everything. AGI is the digitization of that exact capability. At machine speed. At infinite scale. Ng: “A lot of what makes the human brain so general is not that my brain or your brain already knows everything under the sun. It’s our ability to adapt, to learn a huge range of things.” The most powerful economic asset in history was never specialized knowledge. It was the raw capacity to acquire any knowledge, in any domain, on demand. The winning AI is not an encyclopedia. It is the force that makes encyclopedias irrelevant. And once that exists, the question stops being what the AI knows. It becomes what you can teach it before your competitor wakes up. Most people dominating this conversation have not understood that yet.

Dustin

19,816 просмотров • 5 месяцев назад

Hands are as important as the brain. From Shenzhen, Stella Robot has unveiled the PANTHEON HAND 22:a new generation of bionic dexterous hand that combines 22 degrees of freedom with remarkable strength and finesse. It’s a hand that truly understands precision. It can lift 30 kilograms, yet is delicate enough to thread a needle.Each finger can bear 1.5 kilograms, and the entire hand can gently hold a piece of tofu or sense the subtle expansion of a balloon. Powered by a tendon-driven mechanism with integrated actuators inside the forearm, it achieves compact design and natural, human-like movement. From precision assembly and component handling to material transport and human-robot collaboration,the PANTHEON HAND 22 shows what it means for humanoid robots to truly work with their hands.
0:53

Hands are as important as the brain. From Shenzhen, Stella Robot has unveiled the PANTHEON HAND 22:a new generation of bionic dexterous hand that combines 22 degrees of freedom with remarkable strength and finesse. It’s a hand that truly understands precision. It can lift 30 kilograms, yet is delicate enough to thread a needle.Each finger can bear 1.5 kilograms, and the entire hand can gently hold a piece of tofu or sense the subtle expansion of a balloon. Powered by a tendon-driven mechanism with integrated actuators inside the forearm, it achieves compact design and natural, human-like movement. From precision assembly and component handling to material transport and human-robot collaboration,the PANTHEON HAND 22 shows what it means for humanoid robots to truly work with their hands.

CyberRobo

26,867 просмотров • 10 месяцев назад

I don’t know if we live in a Matrix, but I know for sure that robots will spend most of their lives in simulation. Let machines train machines. I’m excited to introduce DexMimicGen, a massive-scale synthetic data generator that enables a humanoid robot to learn complex skills from only a handful of human demonstrations. Yes, as few as 5! DexMimicGen addresses the biggest pain point in robotics: where do we get data? Unlike with LLMs, where vast amounts of texts are readily available, you cannot simply download motor control signals from the internet. So researchers teleoperate the robots to collect motion data via XR headsets. They have to repeat the same skill over and over and over again, because neural nets are data hungry. This is a very slow and uncomfortable process. At NVIDIA, we believe the majority of high-quality tokens for robot foundation models will come from simulation. What DexMimicGen does is to trade GPU compute time for human time. It takes one motion trajectory from human, and multiplies into 1000s of new trajectories. A robot brain trained on this augmented dataset will generalize far better in the real world. Think of DexMimicGen as a learning signal amplifier. It maps a small dataset to a large (de facto infinite) dataset, using physics simulation in the loop. In this way, we free humans from babysitting the bots all day. The future of robot data is generative. The future of the entire robot learning pipeline will also be generative. 🧵
0:58

I don’t know if we live in a Matrix, but I know for sure that robots will spend most of their lives in simulation. Let machines train machines. I’m excited to introduce DexMimicGen, a massive-scale synthetic data generator that enables a humanoid robot to learn complex skills from only a handful of human demonstrations. Yes, as few as 5! DexMimicGen addresses the biggest pain point in robotics: where do we get data? Unlike with LLMs, where vast amounts of texts are readily available, you cannot simply download motor control signals from the internet. So researchers teleoperate the robots to collect motion data via XR headsets. They have to repeat the same skill over and over and over again, because neural nets are data hungry. This is a very slow and uncomfortable process. At NVIDIA, we believe the majority of high-quality tokens for robot foundation models will come from simulation. What DexMimicGen does is to trade GPU compute time for human time. It takes one motion trajectory from human, and multiplies into 1000s of new trajectories. A robot brain trained on this augmented dataset will generalize far better in the real world. Think of DexMimicGen as a learning signal amplifier. It maps a small dataset to a large (de facto infinite) dataset, using physics simulation in the loop. In this way, we free humans from babysitting the bots all day. The future of robot data is generative. The future of the entire robot learning pipeline will also be generative. 🧵

Jim Fan

165,246 просмотров • 1 год назад