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The full video from Cortical Labs explaining how they put 200,000 brain cells onto a silicon chip and had it play Doom is wild: “When a demon appears on the left of the screen, specific electrodes stimulate the sensory area of the neural culture on the left side. The... show more

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someone connected LIVING BRAIN CELLS to an LLM Cortical Labs grew 200,000 human neurons in a lab and kept them alive on a silicon chip, they taught the neurons to play Pong, then DOOM now someone wired them into a LLM... real brain cells firing electrical impulses to choose every token the AI generates you can see which channels were stimulated, the feedback from the neurons in choosing that letter or word

someone connected LIVING BRAIN CELLS to an LLM Cortical Labs grew 200,000 human neurons in a lab and kept them alive on a silicon chip, they taught the neurons to play Pong, then DOOM now someone wired them into a LLM... real brain cells firing electrical impulses to choose every token the AI generates you can see which channels were stimulated, the feedback from the neurons in choosing that letter or word

chiefofautism

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EINSTEIN’S BRAIN AND THE NEURONS THAT TAUGHT THEMSELVES PONG When Einstein died, scientists studied his brain to see what set it apart. Most of it looked ordinary, except for one thing: the folds. His brain had far more of them than average. More folds meant more surface area, and more surface area meant more neurons. The difference was concentrated in his parietal lobes, the regions tied to math and spatial reasoning. Genius left a trace, but it was subtle, hidden in structure rather than size. Decades later, another mystery arrived. In 2022, researchers at Cortical Labs grew human neurons in a Petri dish and wired them to a chip running the game Pong. There was no human player, no brain, and no mind, just cells, signals, and feedback. Yet somehow, the neurons learned. The longer they played, the better they became. That forced an uncomfortable question: how does a group of disconnected neurons know how to play a game it has never seen. The answer is still unclear. Einstein’s brain revealed how intelligence can be built. Source: Joe Rogan

EINSTEIN’S BRAIN AND THE NEURONS THAT TAUGHT THEMSELVES PONG When Einstein died, scientists studied his brain to see what set it apart. Most of it looked ordinary, except for one thing: the folds. His brain had far more of them than average. More folds meant more surface area, and more surface area meant more neurons. The difference was concentrated in his parietal lobes, the regions tied to math and spatial reasoning. Genius left a trace, but it was subtle, hidden in structure rather than size. Decades later, another mystery arrived. In 2022, researchers at Cortical Labs grew human neurons in a Petri dish and wired them to a chip running the game Pong. There was no human player, no brain, and no mind, just cells, signals, and feedback. Yet somehow, the neurons learned. The longer they played, the better they became. That forced an uncomfortable question: how does a group of disconnected neurons know how to play a game it has never seen. The answer is still unclear. Einstein’s brain revealed how intelligence can be built. Source: Joe Rogan

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someone connected LIVING BRAIN CELLS to a Bitcoin trading bot 200,000 real human neurons kept alive on a silicon chip the neurons fire electrical impulses that train an ML CLASSIFIER to trade BITCOIN, no human decisions, no intuition, no emotion you can see the stimulations in real time, little dots are electrical pulses sent to the culture, green ones are the neurons firing on their own this is day one, nobody has done this before

someone connected LIVING BRAIN CELLS to a Bitcoin trading bot 200,000 real human neurons kept alive on a silicon chip the neurons fire electrical impulses that train an ML CLASSIFIER to trade BITCOIN, no human decisions, no intuition, no emotion you can see the stimulations in real time, little dots are electrical pulses sent to the culture, green ones are the neurons firing on their own this is day one, nobody has done this before

chiefofautism

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Scientists used 200,000 human brain cells to play DOOM. The cells had never seen a computer. They learned in real time. They got better. Separately: an entire fruit fly brain, 139,000 neurons, 50 million connections, was copied into a laptop. It predicts real brain responses with 90%+ accuracy. The biological computing timeline: 2021 → neurons learn Pong 2022 → fruit fly brain fully mapped 2024 → entire fly brain simulated on a laptop 2026 → human brain cells play DOOM A GPU needs ~700W to run an LLM. The brain runs the whole show on 20W. We're spending trillions on building the next giant AI training computer but what if the solution to our energy needs was just copying the technology already running in our heads?

Scientists used 200,000 human brain cells to play DOOM. The cells had never seen a computer. They learned in real time. They got better. Separately: an entire fruit fly brain, 139,000 neurons, 50 million connections, was copied into a laptop. It predicts real brain responses with 90%+ accuracy. The biological computing timeline: 2021 → neurons learn Pong 2022 → fruit fly brain fully mapped 2024 → entire fly brain simulated on a laptop 2026 → human brain cells play DOOM A GPU needs ~700W to run an LLM. The brain runs the whole show on 20W. We're spending trillions on building the next giant AI training computer but what if the solution to our energy needs was just copying the technology already running in our heads?

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someone built a BIOLOGICAL AI HYBRID, real living neurons on a multi-electrode CL1 array that influence how Grok THINKS in real time its called bioLLM you send a message, it gets encoded into electrical signals and delivered to a living neural culture running on CL1 by Cortical Labs, the neurons fire, they measure spike activity across channels and compute a consciousness score that score becomes Grok temperature dial, if neurons firing hard AI gets creative, unpredictable, bold word choices, when culture resting, it precise, conservative, focused the creator is using Grok specifically because xAI API gave the most introspective outputs, says Neuralink + xAI resources make it the right long-term bet

someone built a BIOLOGICAL AI HYBRID, real living neurons on a multi-electrode CL1 array that influence how Grok THINKS in real time its called bioLLM you send a message, it gets encoded into electrical signals and delivered to a living neural culture running on CL1 by Cortical Labs, the neurons fire, they measure spike activity across channels and compute a consciousness score that score becomes Grok temperature dial, if neurons firing hard AI gets creative, unpredictable, bold word choices, when culture resting, it precise, conservative, focused the creator is using Grok specifically because xAI API gave the most introspective outputs, says Neuralink + xAI resources make it the right long-term bet

chiefofautism

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What are mirror neurons? The "monkey see, monkey do" cells. They are a type of brain cell believed to play a important role in empathy. These neurons enable us to "simulate" or experience the emotions & feelings of others. For example when you observe someone else receiving a massage, your mirror neurons can fire in your brain as a result. It is as if you are experiencing the massage yourself. (Source - Positive Psychology) The beautiful folks in the vids? Hailey Elskov💖 .:SummerRaez:. ☀️🖤 Princess Isabella (Izzy) Video links below 👇

What are mirror neurons? The "monkey see, monkey do" cells. They are a type of brain cell believed to play a important role in empathy. These neurons enable us to "simulate" or experience the emotions & feelings of others. For example when you observe someone else receiving a massage, your mirror neurons can fire in your brain as a result. It is as if you are experiencing the massage yourself. (Source - Positive Psychology) The beautiful folks in the vids? Hailey Elskov💖 .:SummerRaez:. ☀️🖤 Princess Isabella (Izzy) Video links below 👇

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The Inventor of the Neural Network, Dr. Warren McCulloch explains how Artificial Neurons are able to mimic Brain Neurons algorithmically. I grew up around the peek of Bell Labs in New Jersey and I knew quite a few folks like Dr McCulloch walking around the Campus.

The Inventor of the Neural Network, Dr. Warren McCulloch explains how Artificial Neurons are able to mimic Brain Neurons algorithmically. I grew up around the peek of Bell Labs in New Jersey and I knew quite a few folks like Dr McCulloch walking around the Campus.

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Himes: It was exceedingly hard to watch. Even if you stipulate that it is a war, there is a very specific prohibition against killing individuals who have been removed from the fight. And there is no question that these individuals were removed from the fight. They were in the last hours of their life even if we had left them alone, because they were floating on a piece of flotsam in the middle of the ocean.

Himes: It was exceedingly hard to watch. Even if you stipulate that it is a war, there is a very specific prohibition against killing individuals who have been removed from the fight. And there is no question that these individuals were removed from the fight. They were in the last hours of their life even if we had left them alone, because they were floating on a piece of flotsam in the middle of the ocean.

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Glutamate is the primary molecule that neurons use to communicate with each other. Previously, scientists have mostly recorded when neurons fire output signals, but now with a new glutamate indicator, they can record the many inputs that causes cells to fire. 🧵

Glutamate is the primary molecule that neurons use to communicate with each other. Previously, scientists have mostly recorded when neurons fire output signals, but now with a new glutamate indicator, they can record the many inputs that causes cells to fire. 🧵

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A new study is asking the question that should have been asked before a single dose was ever administered. "Aluminum Adjuvants, Autoimmunity and Autism Spectrum Disorder: A Comprehensive Mechanistic, Neuropathological and Legal Analysis." Here's what it connects. Autopsy studies of autistic brains show that 63-64% had evidence of autoimmune encephalitis, the immune system producing lymphocytes that attack and destroy neurons, creating brain injury that manifests as autism. On the other side of the equation: aluminum adjuvants are added to vaccines specifically to amplify the immune response. They were added without anyone fully understanding the mechanism. Inject aluminum, the immune response magnifies... and nobody asked what else was being inflamed in the process. Here's what they missed. When inflammation occurs, the entire body is affected, including the brain. The neuroinflammation piece was simply neglected. They looked at the inflammatory cells that hastened and magnified the immune response and stopped there. The studies intended to establish aluminum's safety did a fine job of demonstrating its efficacy. They really, really screwed up on safe. Watch the full segment at

A new study is asking the question that should have been asked before a single dose was ever administered. "Aluminum Adjuvants, Autoimmunity and Autism Spectrum Disorder: A Comprehensive Mechanistic, Neuropathological and Legal Analysis." Here's what it connects. Autopsy studies of autistic brains show that 63-64% had evidence of autoimmune encephalitis, the immune system producing lymphocytes that attack and destroy neurons, creating brain injury that manifests as autism. On the other side of the equation: aluminum adjuvants are added to vaccines specifically to amplify the immune response. They were added without anyone fully understanding the mechanism. Inject aluminum, the immune response magnifies... and nobody asked what else was being inflamed in the process. Here's what they missed. When inflammation occurs, the entire body is affected, including the brain. The neuroinflammation piece was simply neglected. They looked at the inflammatory cells that hastened and magnified the immune response and stopped there. The studies intended to establish aluminum's safety did a fine job of demonstrating its efficacy. They really, really screwed up on safe. Watch the full segment at

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Ever wondered what neural networks are and how they work? Systems like ChatGPT use neural networks to work as well as they do. Neural networks are composed of "layers" of neurons, layers with different functions; connections between layers called "weights"; and mathematical functions called "activation functions". If you’re interested in learning about these systems, check the comments. Ultimately, the neural network structure of the model serves to visually demonstrate that it is, in fact, a complex mathematical equation. When companies release the model's weights, they are releasing a key component needed to run the model's complete equation. Without the weights, the equation is incomplete. For the math-minded: the weights of a model are the learned numbers (they are variables during training) that are then used as constants in the mathematical functions that make up the model. Neural networks are ultimately just one big, hyper-complex mathematical function, and when a model is trained, it learns the constants associated with the high-dimensional input.

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A Neural Network Can Grow New Neurons Where It Is Confused? In 1994, Bernd Fritzke published A Growing Neural Gas Network Learns Topologies. He introduced a network that starts small, follows incoming data, and inserts new neurons where its error is highest. In the animation, the fog is the drifting data. The glowing nodes are neurons. The fibers are learned connections. The network grows into a living skeleton of the manifold.

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Russia has created a neurorat: a neural interface with AI was connected to the rodent and it became the smartest rodent Electrodes are connected to the brain areas of the rat Pythia and stimulate the cortex in certain places so that the animal gives the correct answer: she answered all the questions correctly - from the simplest examples to Einstein's birthday

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Former Knesset speaker explains how “equality of rights” and a “Constitution” are a threat to the state from an Israeli point of view…. He further explains that they view the American democratic left as all “wokes” and the American right as all “antisemites”, and that the only thing in it for them is “Silicon valley, profit, and technology..” What a wild admission…

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🚨 YOU CAN NOW RENT LIVING HUMAN BRAIN CELLS FOR $300 A WEEK — THIS IS PURE DYSTOPIA A company called Cortical Labs is selling “wetware as a service.” For just $300 a week, you can rent 800,000 living human brain cells grown from stem cells, layered onto a silicon chip, and kept alive in a life support system. An earlier version of this tech even taught itself how to play Pong. They’re calling it biological computing, using real human neurons instead of traditional silicon chips. No one is claiming these brain cells are conscious… but almost no one is asking the harder questions either. Have we just started renting human brains?

🚨 YOU CAN NOW RENT LIVING HUMAN BRAIN CELLS FOR $300 A WEEK — THIS IS PURE DYSTOPIA A company called Cortical Labs is selling “wetware as a service.” For just $300 a week, you can rent 800,000 living human brain cells grown from stem cells, layered onto a silicon chip, and kept alive in a life support system. An earlier version of this tech even taught itself how to play Pong. They’re calling it biological computing, using real human neurons instead of traditional silicon chips. No one is claiming these brain cells are conscious… but almost no one is asking the harder questions either. Have we just started renting human brains?

HustleBitch

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A Petri Dish Of HUMAN Brain Cells LEARN TO PLAY THE GAME DOOM! In a groundbreaking fusion of biology and silicon, scientists at Cortical Labs have taught a cluster of lab-grown human neurons to play the iconic video game Doom. Not your typical AI triumph, it’s a petri dish of actual human brain cells, reprogrammed from adult donor skin or blood samples, wired into a $35,000 biological computer called the CL1. Building on their earlier Pong demo, this new feat sees the neurons navigating hellish levels, dodging demons, and even firing shots with surprising efficiency. Programmer Sean Cole pulled it off in just a week using a Python API on GitHub, a stark contrast to the year-plus effort for Pong. Astonishingly, these organic gamers outperform GPT-4 in speed and latency, proving that even a tiny blob of human intelligence can adapt and learn in ways silicon struggles to match. The excitement is palpable: this isn’t just a gimmick; it’s a window into revolutionary medical advancements. Imagine using such bio-computers to model brain diseases, test drugs, or even restore neural functions in patients. With cloud access to CL1 rentals, developers worldwide can experiment, accelerating discoveries that could redefine neuroscience. We’re witnessing the dawn of hybrid intelligence, human biology augmented by tech, evolving beyond our wildest dreams. Yet, amid the thrill, a chill runs down my spine. What are we building here? These neurons aren’t conscious (we hope), but they’re derived from humans and exhibit learning behaviors that echo our own cognition. Echoes of The Matrix or dystopian sci-fi like the “torment nexus” from Doom novels loom large. Could this lead to ethical nightmares—exploiting bio-intelligence for warfare simulations, or worse, creating sentient systems trapped in digital hells? And the philosophical rabbit hole deepens: Is life merely nested Russian dolls (matryoshka, if you prefer) of biological smarts? We, as evolved intelligences, are now crafting our own mini-brains, layering complexity upon complexity. Are we “gods” in the making, or just the next doll in an infinite regress, destined to birth something that surpasses—and perhaps supplants, us? This experiment, detailed in HotHardware’s coverage, pushes boundaries we might not be ready to cross. It’s exhilarating proof of human ingenuity, but let’s proceed with caution lest we summon demons we can’t control and we wind up in the Petri dish?

A Petri Dish Of HUMAN Brain Cells LEARN TO PLAY THE GAME DOOM! In a groundbreaking fusion of biology and silicon, scientists at Cortical Labs have taught a cluster of lab-grown human neurons to play the iconic video game Doom. Not your typical AI triumph, it’s a petri dish of actual human brain cells, reprogrammed from adult donor skin or blood samples, wired into a $35,000 biological computer called the CL1. Building on their earlier Pong demo, this new feat sees the neurons navigating hellish levels, dodging demons, and even firing shots with surprising efficiency. Programmer Sean Cole pulled it off in just a week using a Python API on GitHub, a stark contrast to the year-plus effort for Pong. Astonishingly, these organic gamers outperform GPT-4 in speed and latency, proving that even a tiny blob of human intelligence can adapt and learn in ways silicon struggles to match. The excitement is palpable: this isn’t just a gimmick; it’s a window into revolutionary medical advancements. Imagine using such bio-computers to model brain diseases, test drugs, or even restore neural functions in patients. With cloud access to CL1 rentals, developers worldwide can experiment, accelerating discoveries that could redefine neuroscience. We’re witnessing the dawn of hybrid intelligence, human biology augmented by tech, evolving beyond our wildest dreams. Yet, amid the thrill, a chill runs down my spine. What are we building here? These neurons aren’t conscious (we hope), but they’re derived from humans and exhibit learning behaviors that echo our own cognition. Echoes of The Matrix or dystopian sci-fi like the “torment nexus” from Doom novels loom large. Could this lead to ethical nightmares—exploiting bio-intelligence for warfare simulations, or worse, creating sentient systems trapped in digital hells? And the philosophical rabbit hole deepens: Is life merely nested Russian dolls (matryoshka, if you prefer) of biological smarts? We, as evolved intelligences, are now crafting our own mini-brains, layering complexity upon complexity. Are we “gods” in the making, or just the next doll in an infinite regress, destined to birth something that surpasses—and perhaps supplants, us? This experiment, detailed in HotHardware’s coverage, pushes boundaries we might not be ready to cross. It’s exhilarating proof of human ingenuity, but let’s proceed with caution lest we summon demons we can’t control and we wind up in the Petri dish?

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🚨 ELON MUSK: “You can tell which side is the good side and which side is the bad side by which side wishes to restrict freedom of speech. The side that is restricting freedom of speech (the Hitlers, Stalins, and Mussolinis of the world) had very strong censorship on freedom of speech. That’s one of the signs that they are the bad guys. Restriction on speech and large government is fundamentally fascist. Ironically, in pushing for censorship, it makes it clear that the left is the side that is against freedom; and freedom of speech is one of the many freedoms we should have as a civil society. Idea should win on the strength of their arguments. They should not win because they are suppressed.”

🚨 ELON MUSK: “You can tell which side is the good side and which side is the bad side by which side wishes to restrict freedom of speech. The side that is restricting freedom of speech (the Hitlers, Stalins, and Mussolinis of the world) had very strong censorship on freedom of speech. That’s one of the signs that they are the bad guys. Restriction on speech and large government is fundamentally fascist. Ironically, in pushing for censorship, it makes it clear that the left is the side that is against freedom; and freedom of speech is one of the many freedoms we should have as a civil society. Idea should win on the strength of their arguments. They should not win because they are suppressed.”

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