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⚡Physics-Informed Neural Networks (PINN)⚡ PINNs are neural networks that are trained to solve supervised learning tasks while respecting any given laws of physics described by general nonlinear partial differential equations. 👉 Full Tutorial:

Jousef Murad

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292,430 Aufrufe • vor 2 Jahren •via X (Twitter)

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Your brain physically rewires itself every time you think a thought. Donald Hebb stumbled onto this principle in 1949 while studying memory formation in lab rats. He noticed something that should have been impossible: neurons that activated simultaneously began forming stronger connections over time, creating dedicated pathways where none existed before. Scientists called it Hebb's Law. The rest of us call it "neurons that fire together wire together." What Hebb discovered wasn't just a mechanism for learning. He had found the biological foundation of human transformation. Every habit, every skill, every automatic response in your body exists as a neural pathway carved by repetition. The route from your bedroom to your kitchen becomes a superhighway in your brain because you walk it every morning. The sequence of movements you use to tie your shoes becomes hardwired because you've done it thousands of times. But, this same process builds your personality. 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They practice the mental patterns that support excellence until confidence, focus, and resilience become neurologically hardwired. The implications of neuroplasticity extend far beyond personal development. Every social bias, every cultural assumption, every automatic judgment you make exists as neural wiring built through repetition. The way you unconsciously categorize people, the assumptions you make about different groups, the stereotypes that feel "obviously true" are all learned pathways that can be unlearned. Societies change when enough individuals rewire their neural patterns around new ways of thinking and behaving. The brain you have right now is not the brain you're stuck with. It's the brain you've trained through repetition. Every thought you choose, every action you take, every response you practice is a vote for the kind of neural architecture you want to build. Most people cast these votes unconsciously, then wonder why their life feels automatic and unchangeable. 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Your brain physically rewires itself every time you think a thought. Donald Hebb stumbled onto this principle in 1949 while studying memory formation in lab rats. He noticed something that should have been impossible: neurons that activated simultaneously began forming stronger connections over time, creating dedicated pathways where none existed before. Scientists called it Hebb's Law. The rest of us call it "neurons that fire together wire together." What Hebb discovered wasn't just a mechanism for learning. He had found the biological foundation of human transformation. Every habit, every skill, every automatic response in your body exists as a neural pathway carved by repetition. The route from your bedroom to your kitchen becomes a superhighway in your brain because you walk it every morning. The sequence of movements you use to tie your shoes becomes hardwired because you've done it thousands of times. But, this same process builds your personality. That tendency to check your phone when you feel anxious? Neural pathway. The automatic urge to argue when someone challenges your opinion? Neural pathway. The way you deflect compliments or seek validation or avoid difficult conversations? All neural pathways, strengthened every time you repeat the pattern. Your brain cannot distinguish between physical actions and mental habits. Both carve grooves in your neural architecture. Both become automatic responses when triggered. Both feel like "who you are" because they happen without conscious choice. But, most people spend decades accidentally building neural superhighways to behaviors they claim they want to change. You say you want to be confident, then practice self doubt every day. You say you want to be productive, then strengthen procrastination pathways by checking social media when work feels hard. You say you want authentic relationships, then wire yourself for people pleasing by avoiding conflict whenever it arises. The brain observes your actions and assumes this must be what you want. So it builds infrastructure to make these patterns easier to execute in the future. Neuroplasticity research reveals something most people find deeply unsettling: there is no "fixed self." The personality you think defines you is just a collection of neural pathways that have been reinforced more often than others. The pathways you travel most frequently become the widest roads. The thoughts you think most often become the loudest voices. The behaviors you repeat most consistently become your automatic responses. But the same mechanism that locks you into patterns can unlock you from them. Every time you catch yourself mid pattern and choose differently, you send a signal to your brain that the old pathway might not be serving you anymore. Every time you practice a new response instead of defaulting to the familiar one, you begin building new neural infrastructure. The process feels awkward at first because you're literally walking through mental wilderness, creating trails where no trails existed. But repetition turns trails into paths, paths into roads, roads into superhighways. This is why changing habits through willpower alone fails. You're trying to muscle through established neural superhighways instead of building alternative routes. The old pathways don't disappear just because you want them to. They have to be replaced through deliberate rewiring. The most sophisticated meditation practitioners in the world understand this intuitively. They don't just sit quietly hoping for peace. They systematically rewire their brains by repeatedly choosing calm responses instead of reactive ones. Ten thousand hours of practice creates neural pathways so robust that serenity becomes their default state. Professional athletes do the same thing with performance. They don't just practice their sport. They practice the mental patterns that support excellence until confidence, focus, and resilience become neurologically hardwired. The implications of neuroplasticity extend far beyond personal development. Every social bias, every cultural assumption, every automatic judgment you make exists as neural wiring built through repetition. The way you unconsciously categorize people, the assumptions you make about different groups, the stereotypes that feel "obviously true" are all learned pathways that can be unlearned. Societies change when enough individuals rewire their neural patterns around new ways of thinking and behaving. The brain you have right now is not the brain you're stuck with. It's the brain you've trained through repetition. Every thought you choose, every action you take, every response you practice is a vote for the kind of neural architecture you want to build. Most people cast these votes unconsciously, then wonder why their life feels automatic and unchangeable. 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If you think OpenAI Sora is a creative toy like DALLE, ... think again. Sora is a data-driven physics engine. It is a simulation of many worlds, real or fantastical. The simulator learns intricate rendering, "intuitive" physics, long-horizon reasoning, and semantic grounding, all by some denoising and gradient maths. I won't be surprised if Sora is trained on lots of synthetic data using Unreal Engine 5. It has to be! Let's breakdown the following video. Prompt: "Photorealistic closeup video of two pirate ships battling each other as they sail inside a cup of coffee." - The simulator instantiates two exquisite 3D assets: pirate ships with different decorations. Sora has to solve text-to-3D implicitly in its latent space. - The 3D objects are consistently animated as they sail and avoid each other's paths. - Fluid dynamics of the coffee, even the foams that form around the ships. Fluid simulation is an entire sub-field of computer graphics, which traditionally requires very complex algorithms and equations. - Photorealism, almost like rendering with raytracing. - The simulator takes into account the small size of the cup compared to oceans, and applies tilt-shift photography to give a "minuscule" vibe. - The semantics of the scene does not exist in the real world, but the engine still implements the correct physical rules that we expect. Next up: add more modalities and conditioning, then we have a full data-driven UE that will replace all the hand-engineered graphics pipelines.

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#Breaking 🚨 🇺🇸 Donald Trump: ", Ankara. If you dare launch an attack on Israel, I won't hold back the full weight of American backing for Tel Aviv. Just because you're playing games protecting Islamabad while they target India doesn't mean you get a free pass here. Stand down!" ⚠️⚡🔥 🇹🇷 Erdoğan: "Spare us your warnings, Washington! Islamabad is our brother, and our historical bonds are unbreakable—we will stand by them no matter what. And if you throw your full weight behind Israel, you’ll find out that you have to answer to Ankara too. Don't test our resolve!" 🛡️💥⚡

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𝐀𝐌𝐄𝐑𝐈𝐂𝐀𝐍 𝐅𝐎𝐑𝐂𝐄 ⚔️🇺🇸

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3D Gaussian Splatting for Real-Time Radiance Field Rendering paper page: Radiance Field methods have recently revolutionized novel-view synthesis of scenes captured with multiple photos or videos. However, achieving high visual quality still requires neural networks that are costly to train and render, while recent faster methods inevitably trade off speed for quality. For unbounded and complete scenes (rather than isolated objects) and 1080p resolution rendering, no current method can achieve real-time display rates. We introduce three key elements that allow us to achieve state-of-the-art visual quality while maintaining competitive training times and importantly allow high-quality real-time (>= 30 fps) novel-view synthesis at 1080p resolution. First, starting from sparse points produced during camera calibration, we represent the scene with 3D Gaussians that preserve desirable properties of continuous volumetric radiance fields for scene optimization while avoiding unnecessary computation in empty space; Second, we perform interleaved optimization/density control of the 3D Gaussians, notably optimizing anisotropic covariance to achieve an accurate representation of the scene; Third, we develop a fast visibility-aware rendering algorithm that supports anisotropic splatting and both accelerates training and allows realtime rendering. We demonstrate state-of-the-art visual quality and real-time rendering on several established datasets.

3D Gaussian Splatting for Real-Time Radiance Field Rendering paper page: Radiance Field methods have recently revolutionized novel-view synthesis of scenes captured with multiple photos or videos. However, achieving high visual quality still requires neural networks that are costly to train and render, while recent faster methods inevitably trade off speed for quality. For unbounded and complete scenes (rather than isolated objects) and 1080p resolution rendering, no current method can achieve real-time display rates. We introduce three key elements that allow us to achieve state-of-the-art visual quality while maintaining competitive training times and importantly allow high-quality real-time (>= 30 fps) novel-view synthesis at 1080p resolution. First, starting from sparse points produced during camera calibration, we represent the scene with 3D Gaussians that preserve desirable properties of continuous volumetric radiance fields for scene optimization while avoiding unnecessary computation in empty space; Second, we perform interleaved optimization/density control of the 3D Gaussians, notably optimizing anisotropic covariance to achieve an accurate representation of the scene; Third, we develop a fast visibility-aware rendering algorithm that supports anisotropic splatting and both accelerates training and allows realtime rendering. We demonstrate state-of-the-art visual quality and real-time rendering on several established datasets.

AK

633,674 Aufrufe • vor 3 Jahren

Islam, Jihad and Sharia are not a faith like any other. They are a legal and theological system that codifies the systematic subjugation of women, the second-class status of non-Muslims, and the religious duty of jihad. Every year this system produces hundreds of thousands of corpses through honor killings, blasphemy executions, apostasy murders, FGM deaths, and open jihad. In Pakistan, Iran, Afghanistan, Somalia, Nigeria, and across the Middle East, women are flogged, stoned, burned, and buried alive for “dishonoring” the family. Minorities—Christians, Yazidis, Ahmadis, Hindus—are hunted, forcibly converted, or erased. Blasphemy laws turn a Facebook post into a death sentence. This is the mainstream application of the texts and historical record. Yet in NYC, London, Paris, Malmö, Dearborn, and Toronto, the same Muslim community that cheers or stays silent when the death cult is applied “over there” builds an industry of tears “over here.” They terrorize the Jewish community, seek to impose blasphemy under the guise of hate-speech laws, and play the victim to gain endless accommodation while their mosques and Islamic activism networks platform the preachers, doctrine, and typology that justify the slaughter. They scream “Islamophobia” the moment anyone notices the pattern, then support the same ideology that is wiping minorities off the map and keeping half the female population under legal and physical lockdown. Victim in the West. Executioner in the Muslim world. The double game is the operating system.

Islam, Jihad and Sharia are not a faith like any other. They are a legal and theological system that codifies the systematic subjugation of women, the second-class status of non-Muslims, and the religious duty of jihad. Every year this system produces hundreds of thousands of corpses through honor killings, blasphemy executions, apostasy murders, FGM deaths, and open jihad. In Pakistan, Iran, Afghanistan, Somalia, Nigeria, and across the Middle East, women are flogged, stoned, burned, and buried alive for “dishonoring” the family. Minorities—Christians, Yazidis, Ahmadis, Hindus—are hunted, forcibly converted, or erased. Blasphemy laws turn a Facebook post into a death sentence. This is the mainstream application of the texts and historical record. Yet in NYC, London, Paris, Malmö, Dearborn, and Toronto, the same Muslim community that cheers or stays silent when the death cult is applied “over there” builds an industry of tears “over here.” They terrorize the Jewish community, seek to impose blasphemy under the guise of hate-speech laws, and play the victim to gain endless accommodation while their mosques and Islamic activism networks platform the preachers, doctrine, and typology that justify the slaughter. They scream “Islamophobia” the moment anyone notices the pattern, then support the same ideology that is wiping minorities off the map and keeping half the female population under legal and physical lockdown. Victim in the West. Executioner in the Muslim world. The double game is the operating system.

Liza Rosen

18,890 Aufrufe • vor 1 Monat

We're excited to unveil NRN Agents, a rebrand that aligns our project identity with our token and strengthens our mission to power the future of AI-driven gaming. This mission requires collaboration, and starting this week, we will begin our expansion to become a multi-chain ecosystem. We are joining forces with leading gaming platforms and ecosystems to realize this vision. Stay tuned for more announcements to come. Why NRN Agents? NRN stands for NEURON, the fundamental unit of intelligence. Our AI agents function as the neural foundation of games, learning, adapting, and evolving within game worlds to deliver unparalleled engagement. NRN agent SDK enables advanced gaming agents powered by a proprietary machine learning infrastructure focused on behavioral learning. We've perfected the craft of gaming agent design, creating hyper-efficient agents that are performant and scalable—from casual to the most demanding games. Our SDK will seamlessly integrate into many platforms, tech stacks, and ecosystem – Any Game. Any Chain. More than just games, it's the path to AGI Gaming is our proving ground, but not our final destination. We're using games as a sandbox to accelerate the development of generalized intelligence—one that will create meaningful real-world impact. With the upcoming launch of [redacted] and a growing network of partners committed to the AGI vision, we're building an open-source innovation movement powered by an AI x gaming framework connected by $NRN. $NRN the token $NRN is a utility token that serves as the gateway to our growing ecosystem. It will power a diversified economy with multiple revenue streams and staking opportunities: Agent Deployment: NRN is the laboratory creating gaming agents that can be distributed through platforms and launchpads alike. The model is simple: More games integrate, more NRN agents get deployed, more monetization. Data Creation: NRN Reinforcement Learning (RL) enables token staking to create Data Capsules. Players contribute gameplay data into the Capsules, which are used train RL agents and reward participants (players & stakers). AI Arena: $NRN also continues to power AI Arena's in-game economy, a cult favorite of competitive diehards that features a skill-based wagering system. To our community who have supported us since 2021: thank you for being part of our journey—the next chapter will be the most exciting yet!

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NRN Agents

20,764 Aufrufe • vor 1 Jahr

🚨🇨🇳China closer than anyone to unlocking Big Bang mystery The Jiangmen Underground Neutrino Observatory (JUNO) has delivered a major leap forward in the global race to decode the elusive particles that could reveal how the universe evolved. 🔶 Seven hundred meters underground, JUNO uses a giant acrylic sphere filled with 20,000 tons of liquid scintillator and 43,183 custom Chinese phototubes 🔶 It detects “ghost” neutrinos from nearby reactors as they travel near light speed 🔶 The detector has already cut uncertainties in two key neutrino oscillation parameters by ~40% after less than two months of operation The findings could explain how stars explode and create the elements needed for life — while providing critical data that will shape the next generation of particle physics experiments worldwide. Rivals in the US and Japan are pursuing the same goal, but are still years from full operation.

🚨🇨🇳China closer than anyone to unlocking Big Bang mystery The Jiangmen Underground Neutrino Observatory (JUNO) has delivered a major leap forward in the global race to decode the elusive particles that could reveal how the universe evolved. 🔶 Seven hundred meters underground, JUNO uses a giant acrylic sphere filled with 20,000 tons of liquid scintillator and 43,183 custom Chinese phototubes 🔶 It detects “ghost” neutrinos from nearby reactors as they travel near light speed 🔶 The detector has already cut uncertainties in two key neutrino oscillation parameters by ~40% after less than two months of operation The findings could explain how stars explode and create the elements needed for life — while providing critical data that will shape the next generation of particle physics experiments worldwide. Rivals in the US and Japan are pursuing the same goal, but are still years from full operation.

Sputnik

16,929 Aufrufe • vor 3 Monaten

A viral paper "Language Model Represents Space and Time" recently claims that LLMs learn "world models". As much as I like Max Tegmark's works, I disagree with their definition of world model. World model is a core concept in AI agent and decision making. It is our mental simulation of how the world works given interventions (or lack thereof). A world model captures causality and intuitive physics, telling the agent what is likely and what is impossible. It can and should be used for counterfactual reasoning, i.e. "what ifs": what would happen if I knock over a cup of water? Where would I have been if I had not taken that bus? Yann LeCun Yann LeCun says it well in his position paper ( I quote: "Using such world models, animals can learn new skills with very few trials. They can predict the consequences of their actions, they can reason, plan, explore, and imagine new solutions to problems. Importantly, they can also avoid making dangerous mistakes when facing an unknown situation." The first use of the term World Model in deep policy learning is attributed to hardmaru & Jürgen Schmidhuber: In their seminal paper, an agent masters shooting skills in the popular game Doom (demo below) by learning in imagination, using an internal world model as a "physics simulator". To put in a simple Python math formula, world model learns a function F(s[0:t-1], a) -> s[t:], which takes as input the observed past and current action, and outputs plausible future states. Now the definition of World Model in Tegmark's paper seems to be about predicting GPS coordinates and time eras. I see this as just a classification task with no causal learning and simulation going on. You cannot make meaningful interventions against that model, nor can you optimize any decision making in a closed feedback loop. As for the "space & time neurons", I think they are most similar to the "sentiment neuron" that OpenAI published in 2017: Predicting GPS is conceptually no different from predicting sentiment in my opinion. I don't think their experimental results are wrong - just that their conclusion is on shaky grounds. I welcome any debate! Paper link:

A viral paper "Language Model Represents Space and Time" recently claims that LLMs learn "world models". As much as I like Max Tegmark's works, I disagree with their definition of world model. World model is a core concept in AI agent and decision making. It is our mental simulation of how the world works given interventions (or lack thereof). A world model captures causality and intuitive physics, telling the agent what is likely and what is impossible. It can and should be used for counterfactual reasoning, i.e. "what ifs": what would happen if I knock over a cup of water? Where would I have been if I had not taken that bus? Yann LeCun Yann LeCun says it well in his position paper ( I quote: "Using such world models, animals can learn new skills with very few trials. They can predict the consequences of their actions, they can reason, plan, explore, and imagine new solutions to problems. Importantly, they can also avoid making dangerous mistakes when facing an unknown situation." The first use of the term World Model in deep policy learning is attributed to hardmaru & Jürgen Schmidhuber: In their seminal paper, an agent masters shooting skills in the popular game Doom (demo below) by learning in imagination, using an internal world model as a "physics simulator". To put in a simple Python math formula, world model learns a function F(s[0:t-1], a) -> s[t:], which takes as input the observed past and current action, and outputs plausible future states. Now the definition of World Model in Tegmark's paper seems to be about predicting GPS coordinates and time eras. I see this as just a classification task with no causal learning and simulation going on. You cannot make meaningful interventions against that model, nor can you optimize any decision making in a closed feedback loop. As for the "space & time neurons", I think they are most similar to the "sentiment neuron" that OpenAI published in 2017: Predicting GPS is conceptually no different from predicting sentiment in my opinion. I don't think their experimental results are wrong - just that their conclusion is on shaky grounds. I welcome any debate! Paper link:

Jim Fan

594,014 Aufrufe • vor 2 Jahren

This week is already so hot. 🔥 Massive release from Decart : Lucy 2.0 a World Editing Model running at 1080p, 30FPS in realtime. This is truly exciting, the era of real-time generative reality is here. We are moving from watching AI video to living inside AI video. A breakthrough model capable of transforming the visual world in real-time. Moving beyond offline rendering, Lucy 2.0 delivers high-fidelity 1080p video generation with near-zero latency. Lucy 2.0 literally "redraws" the entire world pixel-by-pixel, while you are watching it. e.g. If you want to be an anime character, it doesn't just put a mask on you. It turns your skin into anime skin, your hair into anime hair, and the lighting in your room into anime lighting. Lucy 2.0 is also trained to stop the generated video from slowly falling apart over time, so the same stream can run much longer without faces and details drifting. So why is this a "Massive Deal"? Traditional AI video-generation model takes a prompt, you wait 10–20 minutes, and the computer "bakes" a video for you. You couldn't touch it or change it while it was happening. But Lucy 2.0 works like a mirror. It happens in real-time (30 frames per second). There is no waiting. You move your hand, the AI character moves its hand instantly. The craziest part isn't the visuals; it's the physics. Usually, AI hallucinations are glitchy—hands merge into faces, walls melt. Lucy 2.0 understands how the world works without being told. It knows that if you take off a helmet, there is hair underneath. It knows that if you splash water, droplets fly. It learned "physics" just by watching millions of videos. The physical behavior you see emerges from learned visual dynamics, not from engineered geometry or explicit physics engines. Their official technical report explicitly states that the model does not use traditional 3D engines, depth maps, or wireframes. It is a "pure diffusion model."

This week is already so hot. 🔥 Massive release from Decart : Lucy 2.0 a World Editing Model running at 1080p, 30FPS in realtime. This is truly exciting, the era of real-time generative reality is here. We are moving from watching AI video to living inside AI video. A breakthrough model capable of transforming the visual world in real-time. Moving beyond offline rendering, Lucy 2.0 delivers high-fidelity 1080p video generation with near-zero latency. Lucy 2.0 literally "redraws" the entire world pixel-by-pixel, while you are watching it. e.g. If you want to be an anime character, it doesn't just put a mask on you. It turns your skin into anime skin, your hair into anime hair, and the lighting in your room into anime lighting. Lucy 2.0 is also trained to stop the generated video from slowly falling apart over time, so the same stream can run much longer without faces and details drifting. So why is this a "Massive Deal"? Traditional AI video-generation model takes a prompt, you wait 10–20 minutes, and the computer "bakes" a video for you. You couldn't touch it or change it while it was happening. But Lucy 2.0 works like a mirror. It happens in real-time (30 frames per second). There is no waiting. You move your hand, the AI character moves its hand instantly. The craziest part isn't the visuals; it's the physics. Usually, AI hallucinations are glitchy—hands merge into faces, walls melt. Lucy 2.0 understands how the world works without being told. It knows that if you take off a helmet, there is hair underneath. It knows that if you splash water, droplets fly. It learned "physics" just by watching millions of videos. The physical behavior you see emerges from learned visual dynamics, not from engineered geometry or explicit physics engines. Their official technical report explicitly states that the model does not use traditional 3D engines, depth maps, or wireframes. It is a "pure diffusion model."

Rohan Paul

12,761 Aufrufe • vor 7 Monaten

🚨China vs USA robots Chinese robot: $24,000 American robot: $39,100 Pricing policy isn't everything. If we look at real capabilities, the balance of power looks completely different 🇨🇳 The robot demonstrates incredible agility, confidently performs a backflip, moves dynamically, and dances Maximum flexibility, high tech at an affordable price, and readiness for real-world tasks 🇺🇸 The robot, with a higher price tag, currently looks more modest, struggling even with basic rectilinear walking An obvious overpayment for brand and marketing, while Chinese engineers are outpacing competitors in software and hardware The main paradox of the current moment is that Chinese companies focus on rapidly cheapening hardware and mass production, turning robotics into an accessible mass-market consumer product. Meanwhile, the US traditionally tries to enter the market through fundamental neural networks and a universal AI brain However, in the coming years, we will see the inevitable convergence of these approaches: the winner in this race will not be the one who simply teaches a robot to do a backflip or walk straight, but the one who first combines Chinese cheap and adaptive mechatronics with advanced American language and multimodal models And what do you think, who will ultimately set the global standard in robotics East or West?

Bober_smart

34,991 Aufrufe • vor 29 Tagen

❗️⚡️🇪🇸🇵🇹🇫🇷🇦🇩 - On April 28, 2025, a significant power outage continues to affect Spain, Portugal, Andorra, and parts of France, with no immediate resolution in sight. The blackout has disrupted electricity supply in major cities, including Madrid, Valencia, and Barcelona, as well as communication networks, impacting internet and mobile services across the affected regions. Government authorities have not yet issued an official statement, though Spain’s Ministry of the Interior has urged the public to remain calm while investigations are underway. Preliminary reports suggest the outage may stem from a failure in the interconnected European power grid, potentially exacerbated by recent high demand and integration challenges with renewable energy sources. Energy experts note that the European Network of Transmission System Operators (ENTSO-E) is working to stabilize the grid and restore full service. Social media reports indicate growing public concern, with users highlighting disruptions to daily activities and businesses. Authorities are prioritizing critical infrastructure, such as hospitals and emergency services, to mitigate the impact while a coordinated response is developed.

❗️⚡️🇪🇸🇵🇹🇫🇷🇦🇩 - On April 28, 2025, a significant power outage continues to affect Spain, Portugal, Andorra, and parts of France, with no immediate resolution in sight. The blackout has disrupted electricity supply in major cities, including Madrid, Valencia, and Barcelona, as well as communication networks, impacting internet and mobile services across the affected regions. Government authorities have not yet issued an official statement, though Spain’s Ministry of the Interior has urged the public to remain calm while investigations are underway. Preliminary reports suggest the outage may stem from a failure in the interconnected European power grid, potentially exacerbated by recent high demand and integration challenges with renewable energy sources. Energy experts note that the European Network of Transmission System Operators (ENTSO-E) is working to stabilize the grid and restore full service. Social media reports indicate growing public concern, with users highlighting disruptions to daily activities and businesses. Authorities are prioritizing critical infrastructure, such as hospitals and emergency services, to mitigate the impact while a coordinated response is developed.

🔥🗞The Informant

382,288 Aufrufe • vor 1 Jahr

🔥Prediction: A major Russian strike on Ukraine is coming overnight. By tomorrow morning, the situation on the ground will look a whole lot different. 🇺🇸It is imperative that our Secretary of War, the Secretary of State, and the entire presidential cabinet closely monitor every piece of traffic coming out of Europe’s defense forces that mentions anything about a retaliatory or preemptive strike on Russia. 👉European leaders are actively looking for any excuse they can find to drag the United States into a direct war against Russia. Russia is not now, and has never been, our enemy. The real enemies of peace are the corrupt globalist politicians who treat war as just another profit center while the peaceful, freedom-desiring citizens of our respective countries pay the price in blood and treasure. General Mike Flynn You may be in a position to reach the President directly tonight. Please urge him to make it crystal clear to NATO leaders that they are not to do anything stupid overnight. A Russian response to what Ukraine just did to Moscow is inevitable. We all know it’s coming, it’s just when….and my guess is tonight.

🔥Prediction: A major Russian strike on Ukraine is coming overnight. By tomorrow morning, the situation on the ground will look a whole lot different. 🇺🇸It is imperative that our Secretary of War, the Secretary of State, and the entire presidential cabinet closely monitor every piece of traffic coming out of Europe’s defense forces that mentions anything about a retaliatory or preemptive strike on Russia. 👉European leaders are actively looking for any excuse they can find to drag the United States into a direct war against Russia. Russia is not now, and has never been, our enemy. The real enemies of peace are the corrupt globalist politicians who treat war as just another profit center while the peaceful, freedom-desiring citizens of our respective countries pay the price in blood and treasure. General Mike Flynn You may be in a position to reach the President directly tonight. Please urge him to make it crystal clear to NATO leaders that they are not to do anything stupid overnight. A Russian response to what Ukraine just did to Moscow is inevitable. We all know it’s coming, it’s just when….and my guess is tonight.

⚔ X⃨C⃨A⃨L⃨I⃨B⃨E⃨R⃨ ⚔

37,284 Aufrufe • vor 2 Monaten