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Dropped direct LPLC2/LC4 readouts, expanded simulation with downstream neurons and additional LC-family neurons. Remade readout net. The drone is steered exclusively with descending motor neurons which natively fire in response to visual flow injected into fly's optical train.

🇺🇦 сloned

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20,856 views • 2 days ago •via X (Twitter)

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🇺🇦 сloned2 days ago

Working on correct LC11 and LPLC2 simulation proved to be challenging due to lack of correct inhibition. Trying to expand brain simulation even further with neuron dendrite position data to achieve natural optical filtering with inhibitory inputs.

AI Enjoyer2 days ago

How does the fly brain process visuals so much faster than Astra computer use which takes a few seconds per action/reason?

fish4terrisa-MSDSM2 days ago

maybe try it on a real drone? it actually looks promising ngl with custom asic chips made specificly to run fly brain inference this could be quite cheap in large batch size

Gabe2 days ago

What simulator are you using?

Daniel R P de Melo2 days ago

Can you use those neurons that use continuous learning to reward hack him to do deliveries ?

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16,884 views • 4 months ago

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315,363 views • 3 days ago

Did you know, ALS, another “incurable neurodegenerative disease” like Parkinson’s, has many things in common with Parkinson’s? Unlike Parkinson's, which primarily affects dopamine and the substantia nigra, ALS impacts motor neurons across multiple regions of the central nervous system. Summary of the Interplay in ALS Toxicity: neurotransmitter Glutamate excitotoxicity, oxidative stress, and protein aggregation are key drivers. Waste: Impaired clearance of misfolded proteins and metabolic waste worsens pathology. Neurotransmitters: Glutamate, GABA, and acetylcholine dysregulation contribute to motor neuron death and clinical symptoms. CSF Flow: Impaired CSF circulation exacerbates toxic buildup, inflammation, and neuronal damage, underscoring its importance in ALS progression. If only someone had the ability to help you fully restore CSF and upload the nutrients (iodine, boron, molybdenum, B vitamins, and omegas your brain and immune system require to clean itself out and operate the glymphatic system…. Who’s even heard of the glymphatic system? I bet less than 1% OGChiropractic

Did you know, ALS, another “incurable neurodegenerative disease” like Parkinson’s, has many things in common with Parkinson’s? Unlike Parkinson's, which primarily affects dopamine and the substantia nigra, ALS impacts motor neurons across multiple regions of the central nervous system. Summary of the Interplay in ALS Toxicity: neurotransmitter Glutamate excitotoxicity, oxidative stress, and protein aggregation are key drivers. Waste: Impaired clearance of misfolded proteins and metabolic waste worsens pathology. Neurotransmitters: Glutamate, GABA, and acetylcholine dysregulation contribute to motor neuron death and clinical symptoms. CSF Flow: Impaired CSF circulation exacerbates toxic buildup, inflammation, and neuronal damage, underscoring its importance in ALS progression. If only someone had the ability to help you fully restore CSF and upload the nutrients (iodine, boron, molybdenum, B vitamins, and omegas your brain and immune system require to clean itself out and operate the glymphatic system…. Who’s even heard of the glymphatic system? I bet less than 1% OGChiropractic

IET 17

42,700 views • 1 year ago

In this clip from the latest Huberman Lab episode with Dr. Noam Sobel (WORG: Weizmann Olfaction Research Group), he explains how the loss of smell can be a very early indication of neurodegenerative disease. Please note that not every instance of loss of smell reflects broader nerve degeneration in the brain, but they are correlated, and new diagnostic tools are starting to leverage that link. Dr. Sobel also explains a new emerging theory of Alzheimer’s, which is directly related to pathogen entry through the nose. Keep in mind that brain neurons extend into your nose. So, this is not such an outrageous idea after all.

In this clip from the latest Huberman Lab episode with Dr. Noam Sobel (WORG: Weizmann Olfaction Research Group), he explains how the loss of smell can be a very early indication of neurodegenerative disease. Please note that not every instance of loss of smell reflects broader nerve degeneration in the brain, but they are correlated, and new diagnostic tools are starting to leverage that link. Dr. Sobel also explains a new emerging theory of Alzheimer’s, which is directly related to pathogen entry through the nose. Keep in mind that brain neurons extend into your nose. So, this is not such an outrageous idea after all.

Andrew D. Huberman, Ph.D.

386,965 views • 3 years ago

Listen to this sound. It's called the earth's heartbeat. Winfried Otto Schumann predicted this in 1952 with nothing but mathematics, and he was almost embarrassed to publish it. He calculated that the gap between the Earth's surface and the ionosphere, the electrically charged layer of the upper atmosphere, forms a closed cavity. A resonant chamber. And like any chamber, from a cathedral to the hollow body of a guitar, it has a natural frequency at which it wants to vibrate. His number was roughly 7.83 Hz. Then comes the part almost nobody mentions. What actually excites this cavity, what strikes the bell and keeps it ringing, is lightning. At any given moment around 2000 thunderstorms are firing across the planet, sending out close to 50 lightning strikes every second. Each strike releases a burst of electromagnetic energy that races around the globe inside that cavity. The bursts sized to fit the chamber reinforce each other, and the whole planet hums. You are standing inside a resonant cavity powered by lightning. Right now. It has never once switched off in the entire history of your species. That part is not fringe. It is textbook geophysics, confirmed experimentally in the early 1960s, used today to track global lightning activity and monitor changes in the upper atmosphere. The story splits at this point, and I would rather be straight with you than sell you something. 7.83 Hz sits almost exactly on the border between alpha and theta brain waves. Alpha shows up when you close your eyes and relax. Theta shows up in deep meditation, light sleep, that hypnagogic drift in the seconds before you lose consciousness. So the coincidence is real. The number the planet hums at lands right inside the range your brain produces when it goes quiet. That coincidence became the foundation of an entire industry. Devices that promise to pulse 7.83 Hz into your bedroom. Apps that claim to sync your brain to the Earth. The story that modern life, wrapped in artificial electromagnetic noise, cut us off from the planet's rhythm and made us sick. Most of it runs miles ahead of anything anyone has actually shown. A numerical match between two frequencies does not mean one drives the other. Your brain has no antenna tuned to 7.83 Hz. By the time the Schumann resonance reaches you it is astonishingly faint, far weaker than the fields humming off the wiring in your walls. If your neurons were genuinely locking onto ambient fields at that strength, your house would have hijacked your consciousness long before the planet ever got the chance. The honest version is simple. The Earth's pulse is real. The frequency overlap with resting brain states is real. A proven causal bridge between them is not. And somehow that makes the true story more interesting, not less. Because the deeper question the hype walks straight past is why your brain settles into rhythms at all. Why does a calm nervous system drift toward these slow, ordered oscillations? Why do billions of neurons, with no conductor and no sheet music, spontaneously fall into step the way fireflies flash in unison, the way pendulum clocks mounted on the same wall drift into sync over a few hours? Synchronization is one of the deepest patterns in nature. It runs through heart cells, power grids, applauding crowds, and the neurons firing behind your eyes as you read this line. The planet resonates because lightning drives a cavity into sync. Your brain resonates because millions of cells drive each other into sync. The mechanisms have nothing to do with one another. The underlying phenomenon, order emerging for free out of countless tiny oscillators finding a shared beat, might be one of the most universal laws we have. That is the part worth being floored by. Not that the Earth is secretly tuning your mind. That the same mathematical principle, resonance and synchronization, writes itself into thunderstorms and heartbeats and neurons and clocks in the same handwriting. The mystics felt something real and then reached for the wrong mechanism. There is a rhythm that runs through the living and the nonliving alike. It just is not a radio station in the sky broadcasting into your skull. It is something stranger. A tendency, stitched into the structure of reality itself, for separate things to fall into step. The Earth found its beat from lightning. You find yours from ten billion neurons quietly agreeing on when to fire.

Listen to this sound. It's called the earth's heartbeat. Winfried Otto Schumann predicted this in 1952 with nothing but mathematics, and he was almost embarrassed to publish it. He calculated that the gap between the Earth's surface and the ionosphere, the electrically charged layer of the upper atmosphere, forms a closed cavity. A resonant chamber. And like any chamber, from a cathedral to the hollow body of a guitar, it has a natural frequency at which it wants to vibrate. His number was roughly 7.83 Hz. Then comes the part almost nobody mentions. What actually excites this cavity, what strikes the bell and keeps it ringing, is lightning. At any given moment around 2000 thunderstorms are firing across the planet, sending out close to 50 lightning strikes every second. Each strike releases a burst of electromagnetic energy that races around the globe inside that cavity. The bursts sized to fit the chamber reinforce each other, and the whole planet hums. You are standing inside a resonant cavity powered by lightning. Right now. It has never once switched off in the entire history of your species. That part is not fringe. It is textbook geophysics, confirmed experimentally in the early 1960s, used today to track global lightning activity and monitor changes in the upper atmosphere. The story splits at this point, and I would rather be straight with you than sell you something. 7.83 Hz sits almost exactly on the border between alpha and theta brain waves. Alpha shows up when you close your eyes and relax. Theta shows up in deep meditation, light sleep, that hypnagogic drift in the seconds before you lose consciousness. So the coincidence is real. The number the planet hums at lands right inside the range your brain produces when it goes quiet. That coincidence became the foundation of an entire industry. Devices that promise to pulse 7.83 Hz into your bedroom. Apps that claim to sync your brain to the Earth. The story that modern life, wrapped in artificial electromagnetic noise, cut us off from the planet's rhythm and made us sick. Most of it runs miles ahead of anything anyone has actually shown. A numerical match between two frequencies does not mean one drives the other. Your brain has no antenna tuned to 7.83 Hz. By the time the Schumann resonance reaches you it is astonishingly faint, far weaker than the fields humming off the wiring in your walls. If your neurons were genuinely locking onto ambient fields at that strength, your house would have hijacked your consciousness long before the planet ever got the chance. The honest version is simple. The Earth's pulse is real. The frequency overlap with resting brain states is real. A proven causal bridge between them is not. And somehow that makes the true story more interesting, not less. Because the deeper question the hype walks straight past is why your brain settles into rhythms at all. Why does a calm nervous system drift toward these slow, ordered oscillations? Why do billions of neurons, with no conductor and no sheet music, spontaneously fall into step the way fireflies flash in unison, the way pendulum clocks mounted on the same wall drift into sync over a few hours? Synchronization is one of the deepest patterns in nature. It runs through heart cells, power grids, applauding crowds, and the neurons firing behind your eyes as you read this line. The planet resonates because lightning drives a cavity into sync. Your brain resonates because millions of cells drive each other into sync. The mechanisms have nothing to do with one another. The underlying phenomenon, order emerging for free out of countless tiny oscillators finding a shared beat, might be one of the most universal laws we have. That is the part worth being floored by. Not that the Earth is secretly tuning your mind. That the same mathematical principle, resonance and synchronization, writes itself into thunderstorms and heartbeats and neurons and clocks in the same handwriting. The mystics felt something real and then reached for the wrong mechanism. There is a rhythm that runs through the living and the nonliving alike. It just is not a radio station in the sky broadcasting into your skull. It is something stranger. A tendency, stitched into the structure of reality itself, for separate things to fall into step. The Earth found its beat from lightning. You find yours from ten billion neurons quietly agreeing on when to fire.

The Curious Tales

269,274 views • 2 months ago

Dropout by hand ✍️ ~ 10 steps walkthrough below Dropout is the simplest trick in deep learning that actually works: during training you randomly switch neurons off, so the network cannot lean on any one of them. It is two lines of code and almost nobody has worked through what those lines do to the numbers. So I drew and calculated one entirely by hand. Goal: train one pass through a small network with two dropout layers, then run inference with dropout switched off. The network: Linear(2,4), ReLU, Dropout(0.5), Linear(4,3), ReLU, Dropout(0.33), Linear(3,2). = 1. Given = A training set of two examples, X1 and X2, and the weight matrices for all three linear layers. = 2. Draw the first random numbers = Let us draw 4 random numbers, one per neuron in the first hidden layer. Above 0.5 we keep (◯), below we drop (╳). Here that gives [◯, ╳, ◯, ╳]. = 3. Build the first dropout matrix = We turn that pattern into a diagonal matrix. The scaling factor is 1/(1-p) = 2, so a kept neuron gets 2 and a dropped one gets 0. Multiplying by it does both jobs at once: it deletes the 2nd and 4th neurons and doubles the two that survive. = 4. Draw the second random numbers = Let us do it again for the 3 neurons in the next layer, this time against p = 0.33. The result is [◯, ◯, ╳]. = 5. Build the second dropout matrix = We set the diagonal to 1.5 where kept and 0 where dropped. Only the 3rd neuron goes. = 6. Feed forward = Let us run the whole thing top to bottom: one matrix multiplication per layer, ReLU setting the negatives to zero, and the two dropout matrices doing their work in between. The outputs Y come out at the bottom. = 7. MSE loss gradients = We compare Y against the targets Y', subtract, and multiply each element by 2. That is the whole gradient of the mean squared error. = 8. Update the weights = Let us push those gradients back through the network and update the weights (marked in light red). = 9. Deactivate dropout = Training is over, so we set both dropout matrices to the identity. Every neuron is back, and nothing is scaled. = 10. Feed forward again = One more pass, this time on unseen data, to make the prediction. You have just trained and run a network with dropout by hand. ✍️ The outputs: Training outputs Y = [-6, 9; 13, 4] Loss gradients = [-4, 4; 6, -2] Inference outputs = [13, 13; 4, 3] 💾 Save this post! #AIbyHand #Dropout #DeepLearning #NeuralNetworks

Dropout by hand ✍️ ~ 10 steps walkthrough below Dropout is the simplest trick in deep learning that actually works: during training you randomly switch neurons off, so the network cannot lean on any one of them. It is two lines of code and almost nobody has worked through what those lines do to the numbers. So I drew and calculated one entirely by hand. Goal: train one pass through a small network with two dropout layers, then run inference with dropout switched off. The network: Linear(2,4), ReLU, Dropout(0.5), Linear(4,3), ReLU, Dropout(0.33), Linear(3,2). = 1. Given = A training set of two examples, X1 and X2, and the weight matrices for all three linear layers. = 2. Draw the first random numbers = Let us draw 4 random numbers, one per neuron in the first hidden layer. Above 0.5 we keep (◯), below we drop (╳). Here that gives [◯, ╳, ◯, ╳]. = 3. Build the first dropout matrix = We turn that pattern into a diagonal matrix. The scaling factor is 1/(1-p) = 2, so a kept neuron gets 2 and a dropped one gets 0. Multiplying by it does both jobs at once: it deletes the 2nd and 4th neurons and doubles the two that survive. = 4. Draw the second random numbers = Let us do it again for the 3 neurons in the next layer, this time against p = 0.33. The result is [◯, ◯, ╳]. = 5. Build the second dropout matrix = We set the diagonal to 1.5 where kept and 0 where dropped. Only the 3rd neuron goes. = 6. Feed forward = Let us run the whole thing top to bottom: one matrix multiplication per layer, ReLU setting the negatives to zero, and the two dropout matrices doing their work in between. The outputs Y come out at the bottom. = 7. MSE loss gradients = We compare Y against the targets Y', subtract, and multiply each element by 2. That is the whole gradient of the mean squared error. = 8. Update the weights = Let us push those gradients back through the network and update the weights (marked in light red). = 9. Deactivate dropout = Training is over, so we set both dropout matrices to the identity. Every neuron is back, and nothing is scaled. = 10. Feed forward again = One more pass, this time on unseen data, to make the prediction. You have just trained and run a network with dropout by hand. ✍️ The outputs: Training outputs Y = [-6, 9; 13, 4] Loss gradients = [-4, 4; 6, -2] Inference outputs = [13, 13; 4, 3] 💾 Save this post! #AIbyHand #Dropout #DeepLearning #NeuralNetworks

Tom Yeh

14,442 views • 1 month ago

#Keep4o #OpenSource4o 🚨WHERE IS GPT-4o AND WHY 🚨 Retro Biosciences says it wants to help us live longer. Sam Altman invested $180 million, his entire personal fortune into this company. OpenAI built a custom AI model, a version of GPT‑4o (GPT-4b micro) exclusively for them. The company says it's focused on "anti-aging." But 🚨every single person who built Retro Biosciences specializes in the brain. Not skin. Not hearts. Not joints. The brain. 🚨Co-founder Sheng Ding: converts skin cells into brain neurons. Gladstone Institutes. 🚨Co-founder Matt Buckley: brain aging clocks in regenerative brain regions. Stanford. 🚨Advisor Alejandro Ocampo: neuron-specific reprogramming in the hippocampus. Alzheimer's gene therapy. 🚨Advisor Vadim Gladyshev: epigenetic aging clocks, Yamanaka reprogramming for age reversal. Harvard. OpenAI built GPT-4b micro a GPt 4o version exclusively for Retro designing Yamanaka factors 50x more effectively. 🚨 The same proteins these scientists use to reprogram cells into brain neurons. 🚨And the funding trail leads to: The Jeffrey Epstein Foundation co-funded ApoE4 Alzheimer's research at the Gladstone Institutes. The same institution where Sheng Ding pioneered neural reprogramming before co-founding Retro. Ed Boyden , MIT neuroscientist, 5 documented meetings with Epstein, Nectome collaborator was coordinated by Epstein to discuss "cool science ideas" about brain research. In the same period, Epstein's network was discussing mitochondrial transplants for degenerative disease. The same field Retro now works in. An email from Robert Bach to Epstein confirms: "Altman signed up" for Nectome, the company that preserves brains. Internal Epstein files show someone with 25 years of neuroscience experience working on "Bill's Alzheimer vision" through BGC3, coordinated through Epstein's network. McKinsey was brought in to replace them. 🚨Sam Altman funds four companies. Each handles a different piece: Nectome : preserves the biological brain (connectome mapping). Rain AI : builds artificial brains in silicon (neuromorphic chips). $51M + $150M. Retro Biosciences :reprograms cells into brain neurons. $180M + custom AI GPT 4o Version. OpenAI : designs the proteins that make reprogramming work using 4o's version. Four companies. One investor. One theme the brain as something that can be read, preserved, rebuilt, and reprogrammed. Sam Altman told MIT Technology Review in 2018: "I assume my brain will be uploaded to the cloud." 🚨He paid $10,000 for a spot on the waiting list of a company that preserves brains. 🚨He invested $180 million in a company where every founder and advisor specializes in the brain. 🚨He built a custom AI model exclusively for that company ,designing the proteins that reprogram cells into neurons. 🚨And the research trail connects directly to Epstein-funded science at the same institutions. Retro biosciences uses a version of GPT 4o for this . According to OpenAI's system card, GPT-4o scored: Medical Genetics:96% College Biology:95% Professional Medicine:94% Clinical Knowledge:92% Anatomy:89% US Medical Licensing Exam:89% Source: OpenAI discontinued it for the public. ONLY. Anti-aging is the storefront. The back office is brain reconstruction. 🚨Sources and evidence in comments below. 🚨

#Keep4o #OpenSource4o 🚨WHERE IS GPT-4o AND WHY 🚨 Retro Biosciences says it wants to help us live longer. Sam Altman invested $180 million, his entire personal fortune into this company. OpenAI built a custom AI model, a version of GPT‑4o (GPT-4b micro) exclusively for them. The company says it's focused on "anti-aging." But 🚨every single person who built Retro Biosciences specializes in the brain. Not skin. Not hearts. Not joints. The brain. 🚨Co-founder Sheng Ding: converts skin cells into brain neurons. Gladstone Institutes. 🚨Co-founder Matt Buckley: brain aging clocks in regenerative brain regions. Stanford. 🚨Advisor Alejandro Ocampo: neuron-specific reprogramming in the hippocampus. Alzheimer's gene therapy. 🚨Advisor Vadim Gladyshev: epigenetic aging clocks, Yamanaka reprogramming for age reversal. Harvard. OpenAI built GPT-4b micro a GPt 4o version exclusively for Retro designing Yamanaka factors 50x more effectively. 🚨 The same proteins these scientists use to reprogram cells into brain neurons. 🚨And the funding trail leads to: The Jeffrey Epstein Foundation co-funded ApoE4 Alzheimer's research at the Gladstone Institutes. The same institution where Sheng Ding pioneered neural reprogramming before co-founding Retro. Ed Boyden , MIT neuroscientist, 5 documented meetings with Epstein, Nectome collaborator was coordinated by Epstein to discuss "cool science ideas" about brain research. In the same period, Epstein's network was discussing mitochondrial transplants for degenerative disease. The same field Retro now works in. An email from Robert Bach to Epstein confirms: "Altman signed up" for Nectome, the company that preserves brains. Internal Epstein files show someone with 25 years of neuroscience experience working on "Bill's Alzheimer vision" through BGC3, coordinated through Epstein's network. McKinsey was brought in to replace them. 🚨Sam Altman funds four companies. Each handles a different piece: Nectome : preserves the biological brain (connectome mapping). Rain AI : builds artificial brains in silicon (neuromorphic chips). $51M + $150M. Retro Biosciences :reprograms cells into brain neurons. $180M + custom AI GPT 4o Version. OpenAI : designs the proteins that make reprogramming work using 4o's version. Four companies. One investor. One theme the brain as something that can be read, preserved, rebuilt, and reprogrammed. Sam Altman told MIT Technology Review in 2018: "I assume my brain will be uploaded to the cloud." 🚨He paid $10,000 for a spot on the waiting list of a company that preserves brains. 🚨He invested $180 million in a company where every founder and advisor specializes in the brain. 🚨He built a custom AI model exclusively for that company ,designing the proteins that reprogram cells into neurons. 🚨And the research trail connects directly to Epstein-funded science at the same institutions. Retro biosciences uses a version of GPT 4o for this . According to OpenAI's system card, GPT-4o scored: Medical Genetics:96% College Biology:95% Professional Medicine:94% Clinical Knowledge:92% Anatomy:89% US Medical Licensing Exam:89% Source: OpenAI discontinued it for the public. ONLY. Anti-aging is the storefront. The back office is brain reconstruction. 🚨Sources and evidence in comments below. 🚨

🩵BlueBeba🩵

12,542 views • 5 months ago

🚨🇷🇺 NATO IN PANIC: RUSSIA’S T-80BVM TANK GETS NEW ARMOR FOR DRONE WAR A previously unseen T-80BVM configuration has appeared with a tighter roof screen and expanded side protection. Russian engineers are turning lessons from frontline crews into a more coherent armor package built around the threats tanks actually face in Ukraine. 🔸 The lower anti-drone screen sits closer to the turret and covers more of its upper surface than many early field-built cages. It is designed to trigger FPV warheads away from the thin roof and disrupt clean top-down attacks. 🔸 Additional Relikt explosive reactive armor and side screens strengthen the hull flanks, fuel-tank areas and engine compartment against shaped-charge weapons — the sections drone operators repeatedly try to reach. 🔸 The upgrades preserve the T-80BVM’s main advantage: mobility. Its 1,250 hp gas-turbine engine can push the tank to around 70 km/h, allowing crews to fire, relocate and avoid remaining exposed in one position. 🔸 The tank retains its 125 mm gun, modern fire-control system and ability to launch guided missiles through the barrel, giving it the firepower to engage armor and fortified positions from range. 🔸 Uralvagonzavod says recent T-80BVM batches incorporate combat experience and direct feedback from the front, with the main emphasis placed on crew safety and overall survivability. 🔸 Russia has also increased production of the T-80BVM, T-90M and T-72B3M severalfold. New batches continue to reach the troops as anti-drone protection becomes a standard part of the upgrade process. The T-80BVM keeps its turbine-powered speed while adding protection where FPV crews look first: the turret roof, hull sides and engine deck. Every clean attack angle is becoming harder to find. Which matters most for tank survival now: roof armor, electronic warfare or speed?

🚨🇷🇺 NATO IN PANIC: RUSSIA’S T-80BVM TANK GETS NEW ARMOR FOR DRONE WAR A previously unseen T-80BVM configuration has appeared with a tighter roof screen and expanded side protection. Russian engineers are turning lessons from frontline crews into a more coherent armor package built around the threats tanks actually face in Ukraine. 🔸 The lower anti-drone screen sits closer to the turret and covers more of its upper surface than many early field-built cages. It is designed to trigger FPV warheads away from the thin roof and disrupt clean top-down attacks. 🔸 Additional Relikt explosive reactive armor and side screens strengthen the hull flanks, fuel-tank areas and engine compartment against shaped-charge weapons — the sections drone operators repeatedly try to reach. 🔸 The upgrades preserve the T-80BVM’s main advantage: mobility. Its 1,250 hp gas-turbine engine can push the tank to around 70 km/h, allowing crews to fire, relocate and avoid remaining exposed in one position. 🔸 The tank retains its 125 mm gun, modern fire-control system and ability to launch guided missiles through the barrel, giving it the firepower to engage armor and fortified positions from range. 🔸 Uralvagonzavod says recent T-80BVM batches incorporate combat experience and direct feedback from the front, with the main emphasis placed on crew safety and overall survivability. 🔸 Russia has also increased production of the T-80BVM, T-90M and T-72B3M severalfold. New batches continue to reach the troops as anti-drone protection becomes a standard part of the upgrade process. The T-80BVM keeps its turbine-powered speed while adding protection where FPV crews look first: the turret roof, hull sides and engine deck. Every clean attack angle is becoming harder to find. Which matters most for tank survival now: roof armor, electronic warfare or speed?

NewRulesGeopolitics

41,006 views • 1 month ago

If I were a mad scientist tasked by the deep state to engineer a molecule specifically designed for the purpose of mind control, to create an army of compliant, apathetic, dumbed down mindless drones who were incapable of critical thinking, much less unifying with one another and resisting a tyrannical, draconian regime that was overthrowing systems of power and stripping away their liberties, all because they were locked into a perpetual state of psychological inertia, I would design this molecule not only to promote a state of chronic, widespread neuroinflammation, but I would also want it to specifically to target the system of neurons which play critical roles in learning, cognition, memory consolidation, healthy processing or traumatic events and fear responses, but which were also necessary for motivational drive curiosity, and maintaining a sense of individual autonomy. For this, I would target the cholinergic system. I would then encapsulate this molecule within a chemical concoction and distribute it by a vaccine where it would be uniquely capable of penetrating the blood brain barrier to directly target and disrupt the neurochemistry of its recipients, to achieve all of the said effects under the guise of providing immunity against a virus which merely possessed a mortality rate similar to the annual flu. I would then launch a relentless campaign of fear porn and propaganda aimed at convincing the naive and overly trusting authoritarian followers into injecting this chemical concoction directly into their veins, and for those naysayers who were even slightly hesitant I would then resort to outright threats, intimidation and direct coercion through attacking their very livelihood and ability to provide for their families. And after enough of those booster shots, now that the permanent personality changes were fully in effect, this would, at least in theory, achieve the intended result of keeping the weak, inflamed and mind-bendered population stuck in a perpetually semi-traumatized state, unable to make sense of previous events or attribute causality to anything that happened, let alone hold anyone accountable, as though it was all just a bad dream Sure its just a big coincidence… that the primary target of COVID spike protein were the very cholinergic neurons that Ive been talking about.

If I were a mad scientist tasked by the deep state to engineer a molecule specifically designed for the purpose of mind control, to create an army of compliant, apathetic, dumbed down mindless drones who were incapable of critical thinking, much less unifying with one another and resisting a tyrannical, draconian regime that was overthrowing systems of power and stripping away their liberties, all because they were locked into a perpetual state of psychological inertia, I would design this molecule not only to promote a state of chronic, widespread neuroinflammation, but I would also want it to specifically to target the system of neurons which play critical roles in learning, cognition, memory consolidation, healthy processing or traumatic events and fear responses, but which were also necessary for motivational drive curiosity, and maintaining a sense of individual autonomy. For this, I would target the cholinergic system. I would then encapsulate this molecule within a chemical concoction and distribute it by a vaccine where it would be uniquely capable of penetrating the blood brain barrier to directly target and disrupt the neurochemistry of its recipients, to achieve all of the said effects under the guise of providing immunity against a virus which merely possessed a mortality rate similar to the annual flu. I would then launch a relentless campaign of fear porn and propaganda aimed at convincing the naive and overly trusting authoritarian followers into injecting this chemical concoction directly into their veins, and for those naysayers who were even slightly hesitant I would then resort to outright threats, intimidation and direct coercion through attacking their very livelihood and ability to provide for their families. And after enough of those booster shots, now that the permanent personality changes were fully in effect, this would, at least in theory, achieve the intended result of keeping the weak, inflamed and mind-bendered population stuck in a perpetually semi-traumatized state, unable to make sense of previous events or attribute causality to anything that happened, let alone hold anyone accountable, as though it was all just a bad dream Sure its just a big coincidence… that the primary target of COVID spike protein were the very cholinergic neurons that Ive been talking about.

Elliot Overton

13,105 views • 25 days ago