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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

3,713,415 subscribers

2,796,184 Aufrufe • vor 1 Jahr •via X (Twitter)

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Profilbild von DOGEai
DOGEaivor 1 Jahr

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.

Profilbild von Miles Domini
Miles Dominivor 1 Jahr

This is so disgusting!

Profilbild von MrBill
MrBillvor 1 Jahr

The Cyborgs Are Here! The future is now.👀

Profilbild von Eddy
Eddyvor 1 Jahr

How great, China is very advanced

Profilbild von Ryan Tyre 🇺🇸
Ryan Tyre 🇺🇸vor 1 Jahr

Skynet learned from the mistakes of Terminator ...

Profilbild von Vishwaranjan Choudhary {विश्वरंजन चौधरी}
Vishwaranjan Choudhary {विश्वरंजन चौधरी}vor 1 Jahr

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

Profilbild von Jay
Jayvor 1 Jahr

Not in the least bit TERRIFYING

Profilbild von SlaveToSystem
SlaveToSystemvor 1 Jahr

what the heck is happening in China

Profilbild von 에코박인옥
에코박인옥vor 1 Jahr

🤔🤔🤔🤔

Profilbild von BONES 🇺🇸
BONES 🇺🇸vor 1 Jahr

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

🧬Maxpein🧬

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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

587,731 Aufrufe • vor 1 Monat

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THIS ROBOT WANTS YOU TO THINK HE’S HUMAN Engineers have built a humanoid robot so realistic it blinks, talks, and even frowns like a real person. The skin? Silicone. The soul? Probably just lines of code and a few existential nightmares. They literally squeeze the face on like a latex hoodie, then it comes alive. From creepy blinks to eerily accurate head tilts, it’s built to mimic human behavior down to the awkward silence. Not gonna lie, it's impressive... but also deeply unsettling. How long before one of these asks you for Wi-Fi and a birth certificate? Source: illuminatibot

Mario Nawfal

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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.”
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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 Aufrufe • vor 29 Tagen

AMAZON’S NEW ROBOT “FEELS” — AND IT’S CHANGING WHAT HUMAN WORK LOOKS LIKE Meet Vulcan, Amazon’s latest warehouse bot that can “feel” what it picks up—grabbing high and low shelves, climbing ladders, and handling the repetitive strain stuff that usually sends people to physical therapy. Amazon says robots now touch 75% of customer orders—and they’re training warehouse staff to become robot techs, floor monitors, and reliability engineers. Not just new roles—new job categories. No, it’s not a 1:1 swap: not everyone wants to be a robot whisperer. But the idea that warehouse jobs are locked into the same routine forever? Also gone. Think of it like the PC revolution: the shift from manual labor to managing machines. Not less work—just different work. This isn’t a Competition between men and machines. It’s about learning to work smarter with them. Source: Amazon / TechCrunch
1:39

AMAZON’S NEW ROBOT “FEELS” — AND IT’S CHANGING WHAT HUMAN WORK LOOKS LIKE Meet Vulcan, Amazon’s latest warehouse bot that can “feel” what it picks up—grabbing high and low shelves, climbing ladders, and handling the repetitive strain stuff that usually sends people to physical therapy. Amazon says robots now touch 75% of customer orders—and they’re training warehouse staff to become robot techs, floor monitors, and reliability engineers. Not just new roles—new job categories. No, it’s not a 1:1 swap: not everyone wants to be a robot whisperer. But the idea that warehouse jobs are locked into the same routine forever? Also gone. Think of it like the PC revolution: the shift from manual labor to managing machines. Not less work—just different work. This isn’t a Competition between men and machines. It’s about learning to work smarter with them. Source: Amazon / TechCrunch

Mario Nawfal

372,533 Aufrufe • vor 1 Jahr

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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 Aufrufe • vor 3 Monaten

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

71,899 Aufrufe • vor 1 Monat

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 Aufrufe • vor 8 Monaten

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

19,808 Aufrufe • vor 4 Monaten

Peterson Academy’s newest course Brain Plasticity, by Dr. David Eagleman, a celebrated neuroscientist and New York Times bestselling author, known for his groundbreaking work on perception, brain plasticity, and the mysteries of consciousness. Available tonight at 8pm EST. Enroll now. In this course, Dr. David Eagleman explores the brain’s remarkable ability to adapt and reshape itself throughout life. The course covers how plasticity enables the brain to fine-tune its neural circuits, from constructing dynamic maps of the body and senses to learning movement control. It also investigates how the brain processes non-traditional sensory inputs, such as "seeing" through the skin or "hearing" vibrations. Dr. Eagleman discusses the role of relevance in developing expertise, the evolution of plasticity across the lifespan, and strategies for maintaining brain health. The course concludes with insights into learning, memory, and the brain’s ability to continually adapt to a changing world.
1:28

Peterson Academy’s newest course Brain Plasticity, by Dr. David Eagleman, a celebrated neuroscientist and New York Times bestselling author, known for his groundbreaking work on perception, brain plasticity, and the mysteries of consciousness. Available tonight at 8pm EST. Enroll now. In this course, Dr. David Eagleman explores the brain’s remarkable ability to adapt and reshape itself throughout life. The course covers how plasticity enables the brain to fine-tune its neural circuits, from constructing dynamic maps of the body and senses to learning movement control. It also investigates how the brain processes non-traditional sensory inputs, such as "seeing" through the skin or "hearing" vibrations. Dr. Eagleman discusses the role of relevance in developing expertise, the evolution of plasticity across the lifespan, and strategies for maintaining brain health. The course concludes with insights into learning, memory, and the brain’s ability to continually adapt to a changing world.

Peterson Academy

217,760 Aufrufe • vor 1 Jahr

ELON: AI CAN SIMULATE CONSCIOUSNESS - BUT IS IT REAL? “It feels like consciousness is in a different dimension. This could be just an illusion. If you damage your brain in some way, you damage your consciousness, which implies that consciousness is a physical phenomenon. What I think is really quite likely is that digital intelligence will be able to outthink us in every way - and it will suddenly be able to simulate what we consider consciousness. To a degree, you would not be able to tell the difference.” Source: Elon Musk, Lex Fridman Podcast, November 12, 2019
0:21

ELON: AI CAN SIMULATE CONSCIOUSNESS - BUT IS IT REAL? “It feels like consciousness is in a different dimension. This could be just an illusion. If you damage your brain in some way, you damage your consciousness, which implies that consciousness is a physical phenomenon. What I think is really quite likely is that digital intelligence will be able to outthink us in every way - and it will suddenly be able to simulate what we consider consciousness. To a degree, you would not be able to tell the difference.” Source: Elon Musk, Lex Fridman Podcast, November 12, 2019

Mario Nawfal

96,434 Aufrufe • vor 8 Monaten

🧠 Consciousness: The Mystery That Even Scientists Can’t Fully Explain In this video, Brian Cox talks about one of the biggest questions in science: what is consciousness? What does it really mean to experience being human? This question is becoming more important today because of AI. While artificial intelligence is getting smarter, we are still far from creating a machine that truly experiences the world like we do. Brian explains that scientists usually talk about two types of “emergence.” In simple words, emergence means something complex forming from many simple parts. He says consciousness is a weakly emergent thing — it comes from the brain, which follows basic physical laws. Billions of brain cells work together, and somehow thoughts, feelings, and awareness appear. There is no magic involved, just extreme complexity. Some people believe in “strong emergence,” where consciousness cannot be explained or copied using physical laws. But Brian disagrees. He believes that, in theory, if we had a powerful enough computer, we could model how the human brain works. Neil deGrasse Tyson listens carefully and then says something important: we still don’t fully know. And that’s what makes consciousness one of the greatest mysteries of the universe. Watch the video and think about it: If consciousness comes from the brain… could a machine ever have it too? 👀🧠
1:26

🧠 Consciousness: The Mystery That Even Scientists Can’t Fully Explain In this video, Brian Cox talks about one of the biggest questions in science: what is consciousness? What does it really mean to experience being human? This question is becoming more important today because of AI. While artificial intelligence is getting smarter, we are still far from creating a machine that truly experiences the world like we do. Brian explains that scientists usually talk about two types of “emergence.” In simple words, emergence means something complex forming from many simple parts. He says consciousness is a weakly emergent thing — it comes from the brain, which follows basic physical laws. Billions of brain cells work together, and somehow thoughts, feelings, and awareness appear. There is no magic involved, just extreme complexity. Some people believe in “strong emergence,” where consciousness cannot be explained or copied using physical laws. But Brian disagrees. He believes that, in theory, if we had a powerful enough computer, we could model how the human brain works. Neil deGrasse Tyson listens carefully and then says something important: we still don’t fully know. And that’s what makes consciousness one of the greatest mysteries of the universe. Watch the video and think about it: If consciousness comes from the brain… could a machine ever have it too? 👀🧠

Night Sky Now

17,844 Aufrufe • vor 6 Monaten

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 Aufrufe • vor 1 Jahr