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🚨Iranian scientists build lab-grown artificial brain from living human neurons Iran has mastered the technology for growing nerve cells outside the human body 🔸 Living neurons create synapses and learn like a real human brain 🔸 The new technology is up to 1 million times more energy-efficient than silicon... show more

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What if you could watch chromatin states change inside living neurons.....IN REAL TIME? Repost or share if you or someone you know dreams of this! The Solecki Lab is building an imaging-based biosensor platform to make chromatin biology visible, measurable, and experimentally testable as neurons mature and wire into brain circuits (see enhancer nucleosomes fluttering below). We’re looking for an Associate Scientist who wants to do more than run experiments. Someone who wants to help build the framework for seeing how the neuronal genome changes as the brain is built.

What if you could watch chromatin states change inside living neurons.....IN REAL TIME? Repost or share if you or someone you know dreams of this! The Solecki Lab is building an imaging-based biosensor platform to make chromatin biology visible, measurable, and experimentally testable as neurons mature and wire into brain circuits (see enhancer nucleosomes fluttering below). We’re looking for an Associate Scientist who wants to do more than run experiments. Someone who wants to help build the framework for seeing how the neuronal genome changes as the brain is built.

David Solecki (pronounced so_lets_ki 😉)

32,032 views • 24 days ago

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

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

TheNewPhysics

15,641 views • 1 month ago

🚨 FOR THE FIRST TIME, SCIENTISTS RESTORED HEARING USING STEM CELLS Researchers injected lab-grown stem cells into damaged human ears… and some patients regained measurable hearing ability. The goal? Repair the tiny sensory hair cells and neurons inside the cochlea that normally never regenerate once destroyed. This is massive because hearing loss affects hundreds of millions of people worldwide… and most current treatments only compensate for damage rather than actually repairing it. Why this matters: • Could restore natural hearing instead of amplifying sound • May help reverse certain forms of deafness • Opens the door to regenerating damaged sensory tissue • Could eventually treat tinnitus and nerve-related hearing disorders • Pushes regenerative medicine into real human neural repair The deeper implication? We’re entering an era where medicine may stop managing damage… and start rebuilding biology itself. Your body may not be as permanent as we once thought. Follow for more future physics and breakthrough technology.

🚨 FOR THE FIRST TIME, SCIENTISTS RESTORED HEARING USING STEM CELLS Researchers injected lab-grown stem cells into damaged human ears… and some patients regained measurable hearing ability. The goal? Repair the tiny sensory hair cells and neurons inside the cochlea that normally never regenerate once destroyed. This is massive because hearing loss affects hundreds of millions of people worldwide… and most current treatments only compensate for damage rather than actually repairing it. Why this matters: • Could restore natural hearing instead of amplifying sound • May help reverse certain forms of deafness • Opens the door to regenerating damaged sensory tissue • Could eventually treat tinnitus and nerve-related hearing disorders • Pushes regenerative medicine into real human neural repair The deeper implication? We’re entering an era where medicine may stop managing damage… and start rebuilding biology itself. Your body may not be as permanent as we once thought. Follow for more future physics and breakthrough technology.

TheNewPhysics

48,859 views • 2 months ago

E11 Bio is excited to unveil PRISM technology for mapping brain wiring with simple light microscopes. Today, brain mapping in humans and other mammals is bottlenecked by accurate neuron tracing. PRISM uses molecular ID codes and AI to help neurons trace themselves. We discovered a new cell barcoding approach exceeding comparable methods by more than 750x. This is the heart of PRISM. We integrated this capability with microscopy and AI image analysis to automatically trace neurons at high resolution and annotate them with molecular features. This is a key advance towards economically viable brain mapping - 95% of costs stem from neuron tracing. It is also an important step towards democratizing neuron tracing for everyday neuroscience. Solving these problems is critical for curing brain disorders, building safer and human-like AI, and even simulating brain function. In our first pilot study, we acquired a unique dataset in mouse hippocampus. Barcodes improved the accuracy of tracing genetically labelled neurons by 8x – with a clear path to 100x or more. They also permit tracing across spatial gaps – essential for mitigating tissue section loss in whole-brain scaling. Using molecular annotation, we uncover an intriguing feature of synaptic organization, demonstrating how PRISM can be used for systematic discovery 🧵

E11 Bio is excited to unveil PRISM technology for mapping brain wiring with simple light microscopes. Today, brain mapping in humans and other mammals is bottlenecked by accurate neuron tracing. PRISM uses molecular ID codes and AI to help neurons trace themselves. We discovered a new cell barcoding approach exceeding comparable methods by more than 750x. This is the heart of PRISM. We integrated this capability with microscopy and AI image analysis to automatically trace neurons at high resolution and annotate them with molecular features. This is a key advance towards economically viable brain mapping - 95% of costs stem from neuron tracing. It is also an important step towards democratizing neuron tracing for everyday neuroscience. Solving these problems is critical for curing brain disorders, building safer and human-like AI, and even simulating brain function. In our first pilot study, we acquired a unique dataset in mouse hippocampus. Barcodes improved the accuracy of tracing genetically labelled neurons by 8x – with a clear path to 100x or more. They also permit tracing across spatial gaps – essential for mitigating tissue section loss in whole-brain scaling. Using molecular annotation, we uncover an intriguing feature of synaptic organization, demonstrating how PRISM can be used for systematic discovery 🧵

Andrew Payne

112,064 views • 9 months ago

NEURALINK: REWIRING THE FUTURE OF HUMAN PERCEPTION Neuralink begins by restoring sight. •⁠ ⁠It bypasses damaged eyes and speaks directly to the brain •⁠ ⁠Future applications may unlock vision beyond human capability •⁠ ⁠Interfaces designed to read and write neural signals in real time •⁠ ⁠Potential to restore mobility, memory, and sensory function Neural interfaces are transitioning from lab testing to human integration. A new era of brain-machine connection is underway. Source: Neuralink, Elon Musk

NEURALINK: REWIRING THE FUTURE OF HUMAN PERCEPTION Neuralink begins by restoring sight. •⁠ ⁠It bypasses damaged eyes and speaks directly to the brain •⁠ ⁠Future applications may unlock vision beyond human capability •⁠ ⁠Interfaces designed to read and write neural signals in real time •⁠ ⁠Potential to restore mobility, memory, and sensory function Neural interfaces are transitioning from lab testing to human integration. A new era of brain-machine connection is underway. Source: Neuralink, Elon Musk

Mario Nawfal

89,562 views • 6 months ago

UAE becomes global leader in AI technology, after integrating AI with infrastructure, healthcare and the tech sector. Through its national Artificial Intelligence Strategy aligned with UAE Centennial 2071, the country is aiming to lead global AI investment, strengthen government performance, and create new high-value markets. The country has been incorporating artificial intelligence across major sectors including; government, transportation, agriculture and energy. With institutions like Mohammed bin Zayed University of Artificial Intelligence developing world-class AI talent, the ecosystem is already forming. The UAE is now rapidly emerging as a global AI powerhouse.

UAE becomes global leader in AI technology, after integrating AI with infrastructure, healthcare and the tech sector. Through its national Artificial Intelligence Strategy aligned with UAE Centennial 2071, the country is aiming to lead global AI investment, strengthen government performance, and create new high-value markets. The country has been incorporating artificial intelligence across major sectors including; government, transportation, agriculture and energy. With institutions like Mohammed bin Zayed University of Artificial Intelligence developing world-class AI talent, the ecosystem is already forming. The UAE is now rapidly emerging as a global AI powerhouse.

Oli London

69,115 views • 4 months ago

I've been editing this article about "brain mapping" and connectomics, and I'm just stunned by how quickly the cost estimates to map, say, a mouse brain have plummeted in just the last couple years. It actually seems feasible that we could map the entire human brain -- all 86 billion neurons, and their connections -- in this lifetime. In the 1970s, Sydney Brenner started mapping all the connections between neurons in C. elegans. His team sliced the worm into thin pieces, took photos using an electron microscope, and manually traced and reconstructed each synapse for 302 neurons total. This project took more than a decade of work, and it cost about $16,500 to reconstruct each neuron. Scaling this up to a human brain boggles the mind. Electron microscopy remained the norm in connectomics for decades, because it was the only option available to see synapses at a resolution high enough to be able to trace their paths. Each electron microscope costs several hundreds of thousands of dollars, though, and you need lots of them to map even a mouse brain in a reasonable timeframe. In 2023, the Wellcome Trust released a report estimating how long, and how expensive, it would be to map the mouse connectome (~70M neurons). They estimated that imaging alone would cost $200-300M, and that proofreading (or ensuring that traces between neurons are correct) would cost $7-21 BILLION. (A human can only manually trace about 1 mm of neuron per hour.) Also, the images would occupy about 500 petabytes of data, and getting those data would require 20 electron microscopes running in parallel for about 5 years, continuously. They estimated the whole project would take about 17 years of work. This is, understandably, insane. But now it seems like there's an actual path toward mapping the full mouse brain in about five years for ~$100M dollars. There have been three major breakthroughs in the last year or so: 1/ Expansion microscopy, first developed in 2015, showed that it's possible to "enlarge" the brain by about 5x using a swellable polymer. But an improved method increases this number to >20x expansion, meaning we can now expand brains and image neurons much more easily using cheap light microscopes, rather than expensive electron ones. 2/ E11 Bio (a nonprofit research org) developed protein barcodes that get delivered into brain tissue; each neuron gets a unique combination of barcodes. These cells are then stained with colorful antibodies, which stick to a matching protein barcode, causing each neuron to light up in a distinct color. This makes tracing neurons so much easier. 3/ Google Research released PATHFINDER this May, an AI-based neuron tracing tool that can proofread about 67,200 cubic microns of brain tissue per hour, with very high accuracy. It works on electron micrographs, but something similar could be presumably be developed for the E11 / colorful tag approach. This is an extremely exciting time for neuroscience. (C. elegans connectome below.)

I've been editing this article about "brain mapping" and connectomics, and I'm just stunned by how quickly the cost estimates to map, say, a mouse brain have plummeted in just the last couple years. It actually seems feasible that we could map the entire human brain -- all 86 billion neurons, and their connections -- in this lifetime. In the 1970s, Sydney Brenner started mapping all the connections between neurons in C. elegans. His team sliced the worm into thin pieces, took photos using an electron microscope, and manually traced and reconstructed each synapse for 302 neurons total. This project took more than a decade of work, and it cost about $16,500 to reconstruct each neuron. Scaling this up to a human brain boggles the mind. Electron microscopy remained the norm in connectomics for decades, because it was the only option available to see synapses at a resolution high enough to be able to trace their paths. Each electron microscope costs several hundreds of thousands of dollars, though, and you need lots of them to map even a mouse brain in a reasonable timeframe. In 2023, the Wellcome Trust released a report estimating how long, and how expensive, it would be to map the mouse connectome (~70M neurons). They estimated that imaging alone would cost $200-300M, and that proofreading (or ensuring that traces between neurons are correct) would cost $7-21 BILLION. (A human can only manually trace about 1 mm of neuron per hour.) Also, the images would occupy about 500 petabytes of data, and getting those data would require 20 electron microscopes running in parallel for about 5 years, continuously. They estimated the whole project would take about 17 years of work. This is, understandably, insane. But now it seems like there's an actual path toward mapping the full mouse brain in about five years for ~$100M dollars. There have been three major breakthroughs in the last year or so: 1/ Expansion microscopy, first developed in 2015, showed that it's possible to "enlarge" the brain by about 5x using a swellable polymer. But an improved method increases this number to >20x expansion, meaning we can now expand brains and image neurons much more easily using cheap light microscopes, rather than expensive electron ones. 2/ E11 Bio (a nonprofit research org) developed protein barcodes that get delivered into brain tissue; each neuron gets a unique combination of barcodes. These cells are then stained with colorful antibodies, which stick to a matching protein barcode, causing each neuron to light up in a distinct color. This makes tracing neurons so much easier. 3/ Google Research released PATHFINDER this May, an AI-based neuron tracing tool that can proofread about 67,200 cubic microns of brain tissue per hour, with very high accuracy. It works on electron micrographs, but something similar could be presumably be developed for the E11 / colorful tag approach. This is an extremely exciting time for neuroscience. (C. elegans connectome below.)

Niko McCarty.

66,819 views • 7 months ago

🚨 SCIENTISTS MAY HAVE JUST FOUND AN ANCIENT HIDDEN LANGUAGE INSIDE HUMAN DNA. For decades, large parts of human DNA were dismissed as “junk.” Now researchers say those forgotten regions may actually contain ancient biological control systems hidden genetic “switches” that help regulate how human cells function. In other words: Human biology may contain layers of information we never knew existed. These newly discovered DNA switches could reshape how scientists understand: • brain development • disease • evolution • aging • cancer • cellular intelligence The most unsettling part? Some of these systems may have been operating inside us the entire time… completely unnoticed. We are slowly discovering that the human genome is far less understood than we thought. The deeper science looks into biology… …the stranger human life becomes. Follow for more future science and breakthrough discoveries.

🚨 SCIENTISTS MAY HAVE JUST FOUND AN ANCIENT HIDDEN LANGUAGE INSIDE HUMAN DNA. For decades, large parts of human DNA were dismissed as “junk.” Now researchers say those forgotten regions may actually contain ancient biological control systems hidden genetic “switches” that help regulate how human cells function. In other words: Human biology may contain layers of information we never knew existed. These newly discovered DNA switches could reshape how scientists understand: • brain development • disease • evolution • aging • cancer • cellular intelligence The most unsettling part? Some of these systems may have been operating inside us the entire time… completely unnoticed. We are slowly discovering that the human genome is far less understood than we thought. The deeper science looks into biology… …the stranger human life becomes. Follow for more future science and breakthrough discoveries.

TheNewPhysics

39,262 views • 1 month ago

🚨 SCIENTISTS DISCOVERED HUMAN CELLS CAN RESPOND TO SOUND BY SWITCHING GENES ON AND OFF. Researchers found certain human cells especially fat cells react to mechanical sound vibrations by changing genetic activity. That means sound may influence biology far deeper than we realized. Why this matters: Your cells are not passive. They constantly sense: • pressure • vibration • movement • mechanical stress And now scientists are discovering those signals can directly affect gene behavior itself. In simple terms: Sound may act almost like a biological instruction signal. The implications are enormous: • regenerative medicine • targeted therapies • metabolic control • tissue engineering • non-invasive treatments • future bioelectric technologies The deeper science goes… …the more the human body starts looking less like a machine… …and more like a responsive living frequency system. What happens if biology is listening more than we ever imagined?

🚨 SCIENTISTS DISCOVERED HUMAN CELLS CAN RESPOND TO SOUND BY SWITCHING GENES ON AND OFF. Researchers found certain human cells especially fat cells react to mechanical sound vibrations by changing genetic activity. That means sound may influence biology far deeper than we realized. Why this matters: Your cells are not passive. They constantly sense: • pressure • vibration • movement • mechanical stress And now scientists are discovering those signals can directly affect gene behavior itself. In simple terms: Sound may act almost like a biological instruction signal. The implications are enormous: • regenerative medicine • targeted therapies • metabolic control • tissue engineering • non-invasive treatments • future bioelectric technologies The deeper science goes… …the more the human body starts looking less like a machine… …and more like a responsive living frequency system. What happens if biology is listening more than we ever imagined?

TheNewPhysics

27,753 views • 1 month ago

🚨 SCIENTISTS JUST BUILT A CHIP THAT CAN SEE, THINK, AND REMEMBER ALL AT THE SAME TIME. And it works more like a biological brain than a traditional computer. Researchers at RMIT University have created a neuromorphic vision chip that mimics the human eye and brain. Unlike conventional systems that capture images and send data to external processors, this chip performs sensing, processing, and memory storage directly where the light hits. The active layer is thousands of times thinner than a human hair. It uses doped indium oxide to detect light, process the information on-chip, and retain what it sees over time without constant electrical refreshing. Why this matters: • It dramatically cuts energy use and latency by eliminating data transfer to separate processors • Enables much faster real-time decision making for autonomous systems • Works more like biological vision than traditional machine vision • Could power the next generation of efficient edge AI in vehicles, robots, and remote sensors The deeper implication: For decades, we’ve built vision systems by bolting cameras, processors, and memory together like separate organs. This chip collapses those functions into one biological-style unit. It’s a step toward machines that don’t just “see” but actually perceive and remember in a more efficient, brain-like way. If scaled successfully, it could become a foundational component for autonomous systems that need to operate intelligently with minimal power and minimal delay. We’re moving from cameras that take pictures to chips that truly see. How do you think neuromorphic vision chips like this will change what’s possible for self-driving cars and autonomous robots? Follow for more frontier neuromorphic computing, AI hardware, and brain-inspired technology.

🚨 SCIENTISTS JUST BUILT A CHIP THAT CAN SEE, THINK, AND REMEMBER ALL AT THE SAME TIME. And it works more like a biological brain than a traditional computer. Researchers at RMIT University have created a neuromorphic vision chip that mimics the human eye and brain. Unlike conventional systems that capture images and send data to external processors, this chip performs sensing, processing, and memory storage directly where the light hits. The active layer is thousands of times thinner than a human hair. It uses doped indium oxide to detect light, process the information on-chip, and retain what it sees over time without constant electrical refreshing. Why this matters: • It dramatically cuts energy use and latency by eliminating data transfer to separate processors • Enables much faster real-time decision making for autonomous systems • Works more like biological vision than traditional machine vision • Could power the next generation of efficient edge AI in vehicles, robots, and remote sensors The deeper implication: For decades, we’ve built vision systems by bolting cameras, processors, and memory together like separate organs. This chip collapses those functions into one biological-style unit. It’s a step toward machines that don’t just “see” but actually perceive and remember in a more efficient, brain-like way. If scaled successfully, it could become a foundational component for autonomous systems that need to operate intelligently with minimal power and minimal delay. We’re moving from cameras that take pictures to chips that truly see. How do you think neuromorphic vision chips like this will change what’s possible for self-driving cars and autonomous robots? Follow for more frontier neuromorphic computing, AI hardware, and brain-inspired technology.

TheNewPhysics

23,196 views • 1 month ago

🚨 SCIENTISTS JUST CREATED A “LIVING” METAMATERIAL THAT CAN SELF-HEAL AND CHANGE ITS PROPERTIES IN REAL TIME. Researchers have developed a metamaterial made from living cells that can adapt its structure, heal itself when damaged, and even change its physical properties on demand. This is the first true bio-hybrid material with dynamic, life-like behavior. Why this matters: • Traditional metamaterials are static once made, they don’t change • This new material can respond to its environment and repair itself • It opens the door to self-healing buildings, adaptive medical implants, and living machines • It blurs the line between biology and engineering The deeper implication is enormous: We are entering the age of living materials objects that are not just built, but grown and evolved. The future of technology may not be made of metal and plastic… but of living, breathing, self-repairing matter. What would you build first with a material that can heal itself and adapt? Follow for more frontier physics and future technology.

🚨 SCIENTISTS JUST CREATED A “LIVING” METAMATERIAL THAT CAN SELF-HEAL AND CHANGE ITS PROPERTIES IN REAL TIME. Researchers have developed a metamaterial made from living cells that can adapt its structure, heal itself when damaged, and even change its physical properties on demand. This is the first true bio-hybrid material with dynamic, life-like behavior. Why this matters: • Traditional metamaterials are static once made, they don’t change • This new material can respond to its environment and repair itself • It opens the door to self-healing buildings, adaptive medical implants, and living machines • It blurs the line between biology and engineering The deeper implication is enormous: We are entering the age of living materials objects that are not just built, but grown and evolved. The future of technology may not be made of metal and plastic… but of living, breathing, self-repairing matter. What would you build first with a material that can heal itself and adapt? Follow for more frontier physics and future technology.

TheNewPhysics

14,115 views • 1 month ago

🌟 PETOPIA: JOIN THE $150,000 HALL OF FAME EVENT!🌟 @PetopiaOfficial has officially launched on Sophon, marking the start of a thrilling new era in mobile blockchain gaming! Compete in the Hall of Fame and win a share of the $150K pool. Here’s everything you need to know: — 🟠 HALL OF FAME EVENT 🔸 Compete for your share of the $150,000 prize pool split across two seasons. 🔸 Season 1 runs until February 20, so there’s still time to climb the leaderboard! 🔸 The Top 1000 players earn weighted rewards, and everyone starts fresh for a fair chance. — 🟠 NEW SERVER ON SOPHON 🔸 Petopia’s new server delivers high-speed gameplay and smooth blockchain integration. 🔸 All players, including NFT hero owners, start at Level 1, ensuring a level playing field. 🔸 Progress your heroes across two servers and experience cutting-edge blockchain gaming. — 🟠 EXPANDED GAMEPLAY MODES 🔸 Take on the Trial of Speed to race through dungeons for the best times. 🔸 Challenge Hold the Line to defend against waves of enemies and upgrade your arsenal. 🔸 Experience new modes designed to push your skills to the limit. — Petopia is redefining mobile gaming with blockchain-powered innovation. Join the Hall of Fame Event, rise to glory, and claim your share of the $150,000 prize pool today! 🏆 [Discord link in bio]

🌟 PETOPIA: JOIN THE $150,000 HALL OF FAME EVENT!🌟 @PetopiaOfficial has officially launched on Sophon, marking the start of a thrilling new era in mobile blockchain gaming! Compete in the Hall of Fame and win a share of the $150K pool. Here’s everything you need to know: — 🟠 HALL OF FAME EVENT 🔸 Compete for your share of the $150,000 prize pool split across two seasons. 🔸 Season 1 runs until February 20, so there’s still time to climb the leaderboard! 🔸 The Top 1000 players earn weighted rewards, and everyone starts fresh for a fair chance. — 🟠 NEW SERVER ON SOPHON 🔸 Petopia’s new server delivers high-speed gameplay and smooth blockchain integration. 🔸 All players, including NFT hero owners, start at Level 1, ensuring a level playing field. 🔸 Progress your heroes across two servers and experience cutting-edge blockchain gaming. — 🟠 EXPANDED GAMEPLAY MODES 🔸 Take on the Trial of Speed to race through dungeons for the best times. 🔸 Challenge Hold the Line to defend against waves of enemies and upgrade your arsenal. 🔸 Experience new modes designed to push your skills to the limit. — Petopia is redefining mobile gaming with blockchain-powered innovation. Join the Hall of Fame Event, rise to glory, and claim your share of the $150,000 prize pool today! 🏆 [Discord link in bio]

Beam Gamers

16,601 views • 1 year ago

NEURALINK: REAL-TIME BRAIN ACTIVITY, STREAMED Neuralink's implanted neural device is already delivering what scientists have chased for decades: live visibility into human brain activity within minutes of surgery. In this demo, signals flare as a participant wakes up post-procedure - the device capturing the gradual surge of neural activity in real time. It’s a glimpse of the frontier: hardware that doesn’t just record the brain, but streams its inner rhythms instantly. From clinical care to brain-computer interfaces, the implications are massive. Source: Neuralink

NEURALINK: REAL-TIME BRAIN ACTIVITY, STREAMED Neuralink's implanted neural device is already delivering what scientists have chased for decades: live visibility into human brain activity within minutes of surgery. In this demo, signals flare as a participant wakes up post-procedure - the device capturing the gradual surge of neural activity in real time. It’s a glimpse of the frontier: hardware that doesn’t just record the brain, but streams its inner rhythms instantly. From clinical care to brain-computer interfaces, the implications are massive. Source: Neuralink

Mario Nawfal

204,494 views • 10 months ago

🚨 SCIENTISTS JUST BUILT AN ARTIFICIAL RETINA THAT RESTORES VISION AND ADDS INFRARED SIGHT. Researchers at Yonsei University in South Korea have developed a flexible, three-layer implant that bypasses dead photoreceptors and directly stimulates healthy retinal ganglion cells. The device not only helps restore vision in cases of retinal degeneration (like retinitis pigmentosa) but also gives the eye the ability to detect near-infrared light that humans normally cannot see. The key innovation is a soft 3D array of liquid metal micropillars (gallium-indium alloy) that gently conform to the curved retina without causing damage or inflammation a major improvement over rigid electrodes used in earlier implants. Why this matters: • Retinal diseases destroy light-sensing cells, but the neurons deeper in the eye often remain healthy and capable of sending signals to the brain • The implant uses an ultrathin filter + phototransistor array to convert near-infrared light into electrical signals the ganglion cells can understand • In mouse tests, blind animals regained visual responses, while healthy mice gained infrared sensitivity on top of their normal vision • The liquid metal electrodes are soft and biocompatible, dramatically reducing the risk of scarring or tissue damage The deeper implication: This isn’t just about restoring lost vision it’s about augmenting human sight. If it reaches human trials and proves safe long-term, people with partial vision loss could keep their remaining natural sight while gaining an entirely new sensory channel (infrared). The biggest open question is how the human brain would interpret this new stream of information whether it would feel like a new color, an overlay, or something else entirely. We’re moving from “fixing blindness” to “expanding what it means to see.” How do you think gaining the ability to see infrared light would change daily life or human perception? Follow for more frontier neurotechnology and bionic vision breakthroughs.

🚨 SCIENTISTS JUST BUILT AN ARTIFICIAL RETINA THAT RESTORES VISION AND ADDS INFRARED SIGHT. Researchers at Yonsei University in South Korea have developed a flexible, three-layer implant that bypasses dead photoreceptors and directly stimulates healthy retinal ganglion cells. The device not only helps restore vision in cases of retinal degeneration (like retinitis pigmentosa) but also gives the eye the ability to detect near-infrared light that humans normally cannot see. The key innovation is a soft 3D array of liquid metal micropillars (gallium-indium alloy) that gently conform to the curved retina without causing damage or inflammation a major improvement over rigid electrodes used in earlier implants. Why this matters: • Retinal diseases destroy light-sensing cells, but the neurons deeper in the eye often remain healthy and capable of sending signals to the brain • The implant uses an ultrathin filter + phototransistor array to convert near-infrared light into electrical signals the ganglion cells can understand • In mouse tests, blind animals regained visual responses, while healthy mice gained infrared sensitivity on top of their normal vision • The liquid metal electrodes are soft and biocompatible, dramatically reducing the risk of scarring or tissue damage The deeper implication: This isn’t just about restoring lost vision it’s about augmenting human sight. If it reaches human trials and proves safe long-term, people with partial vision loss could keep their remaining natural sight while gaining an entirely new sensory channel (infrared). The biggest open question is how the human brain would interpret this new stream of information whether it would feel like a new color, an overlay, or something else entirely. We’re moving from “fixing blindness” to “expanding what it means to see.” How do you think gaining the ability to see infrared light would change daily life or human perception? Follow for more frontier neurotechnology and bionic vision breakthroughs.

TheNewPhysics

34,362 views • 23 days ago

🚨 SCIENTISTS JUST DOSED THE FIRST PATIENT IN A TRIAL TO REVERSE CELLULAR AGING IN THE HUMAN EYE. Life Biosciences has begun an FDA-approved clinical trial using cellular reprogramming to regenerate aging neurons in the optic nerve of glaucoma patients. Instead of just slowing vision loss, the goal is to actually reverse aspects of cellular aging in the eye essentially trying to make old nerve cells young again. Why this matters: • Glaucoma is one of the leading causes of irreversible blindness worldwide, caused by damage to the optic nerve • Current treatments can only slow progression they cannot regenerate lost vision • This approach uses partial cellular reprogramming (a controlled form of turning back the biological clock) • If successful, it could open the door to treating many other age-related neurodegenerative diseases The deeper implication is enormous: We may be entering an era where aging itself becomes treatable not just its symptoms. If we can safely reprogram cells in the eye, the same technology could eventually be applied to the brain, spine, and other organs. The first patient has now been dosed. This is no longer just theory. What do you think are we ready to start treating aging as a medical condition? Follow for more frontier science and longevity breakthroughs.

🚨 SCIENTISTS JUST DOSED THE FIRST PATIENT IN A TRIAL TO REVERSE CELLULAR AGING IN THE HUMAN EYE. Life Biosciences has begun an FDA-approved clinical trial using cellular reprogramming to regenerate aging neurons in the optic nerve of glaucoma patients. Instead of just slowing vision loss, the goal is to actually reverse aspects of cellular aging in the eye essentially trying to make old nerve cells young again. Why this matters: • Glaucoma is one of the leading causes of irreversible blindness worldwide, caused by damage to the optic nerve • Current treatments can only slow progression they cannot regenerate lost vision • This approach uses partial cellular reprogramming (a controlled form of turning back the biological clock) • If successful, it could open the door to treating many other age-related neurodegenerative diseases The deeper implication is enormous: We may be entering an era where aging itself becomes treatable not just its symptoms. If we can safely reprogram cells in the eye, the same technology could eventually be applied to the brain, spine, and other organs. The first patient has now been dosed. This is no longer just theory. What do you think are we ready to start treating aging as a medical condition? Follow for more frontier science and longevity breakthroughs.

TheNewPhysics

50,500 views • 1 month ago

InterLink’s Journey to the World’s Top 10 Most Accurate AI Models Artificial Intelligence has rapidly become the defining force of this decade powering breakthroughs across every industry. But while most projects chase trends, InterLink Labs 👤 + 🌐 has been quietly building something deeper: an AI ecosystem grounded in verified human intelligence. Long before AI captured global headlines, InterLink Labs 👤 + 🌐 had already begun its research and engineering efforts back in 2019, assembling a world-class team of engineers and researchers from Big Tech companies and top QS-ranked universities. Their vision was clear - to build a model that truly understands humans, not just data. Unlike traditional AI systems trained purely on digital information, InterLink Labs 👤 + 🌐’s Human-AI Model learns from verified human behavior across millions of Human Nodes. This unique layer of authentic, real-world human input gives InterLink’s AI an unprecedented advantage in trustworthiness, bias reduction, and contextual understanding. Beyond algorithmic optimization, InterLink Labs 👤 + 🌐’s R&D efforts are being scaled to an unprecedented level. The team operates over 100 NVIDIA H100 servers, processing massive volumes of verified behavioral data contributed by real Human Nodes across the world. This data - diverse, decentralized, and human-validated forms the foundation of a next-generation intelligence system designed to mirror real human reasoning patterns. At the same time, InterLink Labs 👤 + 🌐’s AI-powered Human Credit Score applies advanced machine learning to analyze authenticity, contribution, and reliability. Creating an ethical model of digital reputation and fairness. Aligned with National Institute of Standards and Technology (National Institute of Standards and Technology) evaluation standards, InterLink Labs 👤 + 🌐 now aims to achieve Top 10 accuracy globally among AI models. Competing with research teams from Samsung Electronics, Kakao, キヤノン株式会社 / Canon Inc., and other global giants, InterLink Labs 👤 + 🌐’s engineers continue to train, benchmark, and refine their architecture daily to reach world-class precision and consistency. But this is more than a technical race. It’s a human mission. Every verified user contributes to the world’s first Human-Powered Intelligence Network, where real people fuel the evolution of trustworthy AI. As InterLink Labs 👤 + 🌐 advances toward global National Institute of Standards and Technology recognition, one truth becomes clear: The future of intelligence won’t be artificial. It will be human-powered. #InterLink #ITLG #ITL

InterLink’s Journey to the World’s Top 10 Most Accurate AI Models Artificial Intelligence has rapidly become the defining force of this decade powering breakthroughs across every industry. But while most projects chase trends, InterLink Labs 👤 + 🌐 has been quietly building something deeper: an AI ecosystem grounded in verified human intelligence. Long before AI captured global headlines, InterLink Labs 👤 + 🌐 had already begun its research and engineering efforts back in 2019, assembling a world-class team of engineers and researchers from Big Tech companies and top QS-ranked universities. Their vision was clear - to build a model that truly understands humans, not just data. Unlike traditional AI systems trained purely on digital information, InterLink Labs 👤 + 🌐’s Human-AI Model learns from verified human behavior across millions of Human Nodes. This unique layer of authentic, real-world human input gives InterLink’s AI an unprecedented advantage in trustworthiness, bias reduction, and contextual understanding. Beyond algorithmic optimization, InterLink Labs 👤 + 🌐’s R&D efforts are being scaled to an unprecedented level. The team operates over 100 NVIDIA H100 servers, processing massive volumes of verified behavioral data contributed by real Human Nodes across the world. This data - diverse, decentralized, and human-validated forms the foundation of a next-generation intelligence system designed to mirror real human reasoning patterns. At the same time, InterLink Labs 👤 + 🌐’s AI-powered Human Credit Score applies advanced machine learning to analyze authenticity, contribution, and reliability. Creating an ethical model of digital reputation and fairness. Aligned with National Institute of Standards and Technology (National Institute of Standards and Technology) evaluation standards, InterLink Labs 👤 + 🌐 now aims to achieve Top 10 accuracy globally among AI models. Competing with research teams from Samsung Electronics, Kakao, キヤノン株式会社 / Canon Inc., and other global giants, InterLink Labs 👤 + 🌐’s engineers continue to train, benchmark, and refine their architecture daily to reach world-class precision and consistency. But this is more than a technical race. It’s a human mission. Every verified user contributes to the world’s first Human-Powered Intelligence Network, where real people fuel the evolution of trustworthy AI. As InterLink Labs 👤 + 🌐 advances toward global National Institute of Standards and Technology recognition, one truth becomes clear: The future of intelligence won’t be artificial. It will be human-powered. #InterLink #ITLG #ITL

InterLink Labs 👤 + 🌐

51,489 views • 8 months ago

Why are all world leaders obsessed with depopulation? Prince Philip: The growing human population is the biggest challenge to conservation. Interviewer: "Do you have views about what should be done about that?" Prince Philip: "Can't you guess?" This is the man who said—in a 1988 interview with Deutsche Presse-Agentur: "In the event that I am reincarnated, I would like to return as a deadly virus, to contribute something to solving overpopulation." He also told People Magazine: "Human population growth is probably the single most serious long-term threat to survival. We're in for a major disaster if it isn't curbed—not just for the natural world, but for the human world. The more people there are, the more resources they'll consume, the more pollution they'll create, the more fighting they'll do… If it isn't controlled voluntarily, it will be controlled involuntarily by an increase in disease, starvation, and war."

Why are all world leaders obsessed with depopulation? Prince Philip: The growing human population is the biggest challenge to conservation. Interviewer: "Do you have views about what should be done about that?" Prince Philip: "Can't you guess?" This is the man who said—in a 1988 interview with Deutsche Presse-Agentur: "In the event that I am reincarnated, I would like to return as a deadly virus, to contribute something to solving overpopulation." He also told People Magazine: "Human population growth is probably the single most serious long-term threat to survival. We're in for a major disaster if it isn't curbed—not just for the natural world, but for the human world. The more people there are, the more resources they'll consume, the more pollution they'll create, the more fighting they'll do… If it isn't controlled voluntarily, it will be controlled involuntarily by an increase in disease, starvation, and war."

Died Suddenly

928,499 views • 2 years ago

The human brain is truly a marvel of nature. If you horribly reductive, and boiled it down to a language model, you'd be looking at roughly 100 trillon parameters running as a sparse MoE architecture Only about 1-5% of neurons fire at any given moment, meaning the brain "activates" maybe 1-5 trillion parameters per inference step. For context, the largest AI models we've built probably top out around 5 trillion parameters. The brain is roughly 100x larger. Even its active params at any given moment are larger than almost every model in existence today. Here's what melts my brain (pun intnended) though Your brain does all of this on about 20 watts of power, less than a dim light bulb. Training a frontier AI model consumes enough electricity to power small cities for months. Running inference across data centers pulls megawatts. Your brain runs 24/7 for 80+ years on the equivalent of a phone charger. We haven't come close to matching the brain's scale. And we're not even in the same universe when it comes to efficiency. Evolution spent 500 million yrs optimizing the most energy-efficient intelligence architecture ever known. we're trying to brute force our way there with compute and electricity. Nature is still the best engineer in the room.

The human brain is truly a marvel of nature. If you horribly reductive, and boiled it down to a language model, you'd be looking at roughly 100 trillon parameters running as a sparse MoE architecture Only about 1-5% of neurons fire at any given moment, meaning the brain "activates" maybe 1-5 trillion parameters per inference step. For context, the largest AI models we've built probably top out around 5 trillion parameters. The brain is roughly 100x larger. Even its active params at any given moment are larger than almost every model in existence today. Here's what melts my brain (pun intnended) though Your brain does all of this on about 20 watts of power, less than a dim light bulb. Training a frontier AI model consumes enough electricity to power small cities for months. Running inference across data centers pulls megawatts. Your brain runs 24/7 for 80+ years on the equivalent of a phone charger. We haven't come close to matching the brain's scale. And we're not even in the same universe when it comes to efficiency. Evolution spent 500 million yrs optimizing the most energy-efficient intelligence architecture ever known. we're trying to brute force our way there with compute and electricity. Nature is still the best engineer in the room.

am.will

130,725 views • 3 months ago

💎 Dymension Season 2 registration is live - but does anyone care? 🌐 How it works: 🔸Season 2 starts in ~ 7 days from now 🔸S2 registration rolls out in waves - each for different eligible groups. 🔸Wave 1: Now open for long-term $DYM stakers -"Minimum 17 $DYM staked continuously without unstaking since June 2024." 🔸More waves + eligibility criteria announced soon. 🔸 $DYM rewards will be sourced from the Dymension foundation and the onchain treasury What are DYMONDs? 🔸Earned for onchain actions: IRO trading, LP, deposits, RollApp TVL & more. 🔸Can be exchanged for $DYM at claim windows. 🔸Claim early = exit S2. Stay in = bigger rewards at the finish line. Extras: 🔸Referral program: Earn 10% of your friends’ (up to 100) DYMONDs and they get a bonus too 🔸Staker boost: Up to 5x DYMONDs based on stake size & duration. 🔸RollApp builders can earn protocol endorsements & up to $10k/month. 🔸🔸Stake $ATOM with our Sponsor Cosmos | Everstake - 100% uptime, 0 slashing. 🔸🔸 Reminder: 🔸DYMONDs start accruing after Wave 1 registration ends. 🔸All activity tracked via the Portal. 🔸Biggest rewards reserved for those who stick it out to the end. Source: NFA! DYOR! I'm registering as I have $DYM staked but I'm not expecting anything. 🫡

💎 Dymension Season 2 registration is live - but does anyone care? 🌐 How it works: 🔸Season 2 starts in ~ 7 days from now 🔸S2 registration rolls out in waves - each for different eligible groups. 🔸Wave 1: Now open for long-term $DYM stakers -"Minimum 17 $DYM staked continuously without unstaking since June 2024." 🔸More waves + eligibility criteria announced soon. 🔸 $DYM rewards will be sourced from the Dymension foundation and the onchain treasury What are DYMONDs? 🔸Earned for onchain actions: IRO trading, LP, deposits, RollApp TVL & more. 🔸Can be exchanged for $DYM at claim windows. 🔸Claim early = exit S2. Stay in = bigger rewards at the finish line. Extras: 🔸Referral program: Earn 10% of your friends’ (up to 100) DYMONDs and they get a bonus too 🔸Staker boost: Up to 5x DYMONDs based on stake size & duration. 🔸RollApp builders can earn protocol endorsements & up to $10k/month. 🔸🔸Stake $ATOM with our Sponsor Cosmos | Everstake - 100% uptime, 0 slashing. 🔸🔸 Reminder: 🔸DYMONDs start accruing after Wave 1 registration ends. 🔸All activity tracked via the Portal. 🔸Biggest rewards reserved for those who stick it out to the end. Source: NFA! DYOR! I'm registering as I have $DYM staked but I'm not expecting anything. 🫡

Grey Ledger

27,244 views • 1 year ago