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Built an FDTD Maxwell solver from scratch and rendered 45 seconds of it. What you’re watching: A plane EM wave hits a PEC barrier with two slits 90 cells apart. λ = 26 cells. The slits diffract. The beams interfere. Fringes form. Then a biconvex dielectric lens (ε =... show more

James Lockwood

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10,112 views • 2 months ago •via X (Twitter)

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Thomas Young's double-slit experiment, performed in 1801, is one of the most important demonstrations in physics. It provided strong evidence that light behaves as a wave by producing interference patterns. In the experiment, coherent light is directed at an opaque barrier with two closely spaced slits. The light waves passing through these slits interfere with one another, creating a pattern of bright and dark fringes on a screen positioned behind the slits. The spacing and location of these fringes depend on the light's wavelength, the distance between the two slits, and the distance to the screen. This experiment established the wave nature of light. The modern understanding of wave-particle duality, where light can also behave like particles (photons), developed in the early 20th century with quantum mechanics, and is beautifully illustrated by modern versions of the double-slit experiment performed with individual photons.

Thomas Young's double-slit experiment, performed in 1801, is one of the most important demonstrations in physics. It provided strong evidence that light behaves as a wave by producing interference patterns. In the experiment, coherent light is directed at an opaque barrier with two closely spaced slits. The light waves passing through these slits interfere with one another, creating a pattern of bright and dark fringes on a screen positioned behind the slits. The spacing and location of these fringes depend on the light's wavelength, the distance between the two slits, and the distance to the screen. This experiment established the wave nature of light. The modern understanding of wave-particle duality, where light can also behave like particles (photons), developed in the early 20th century with quantum mechanics, and is beautifully illustrated by modern versions of the double-slit experiment performed with individual photons.

The Math Flow

13,424 views • 5 months ago

The double-slit experiment is a key demonstration in quantum physics that reveals the strange behavior of particles like electrons and photons. In the experiment, particles are fired at a barrier with two slits, and a screen records where they land. If both slits are open and no measurement is made, the particles form an interference pattern, like waves overlapping, even when sent one at a time. This suggests that each particle passes through both slits at once in a state called superposition. However, if detectors are placed at the slits to observe which path the particle takes, the interference pattern disappears. The particles then behave like classical objects, going through one slit or the other. This change in behavior simply from observing the system is known as the observer effect, and it highlights a fundamental principle of quantum mechanics: measurement affects the outcome. The experiment challenges our understanding of reality, showing that at the quantum level, particles don't have definite states until they are observed 🤓

The double-slit experiment is a key demonstration in quantum physics that reveals the strange behavior of particles like electrons and photons. In the experiment, particles are fired at a barrier with two slits, and a screen records where they land. If both slits are open and no measurement is made, the particles form an interference pattern, like waves overlapping, even when sent one at a time. This suggests that each particle passes through both slits at once in a state called superposition. However, if detectors are placed at the slits to observe which path the particle takes, the interference pattern disappears. The particles then behave like classical objects, going through one slit or the other. This change in behavior simply from observing the system is known as the observer effect, and it highlights a fundamental principle of quantum mechanics: measurement affects the outcome. The experiment challenges our understanding of reality, showing that at the quantum level, particles don't have definite states until they are observed 🤓

𝚃𝙷𝙴 𝚆𝙷𝙸𝚃𝙴 𝚁𝙰𝙱𝙱𝙸𝚃

51,041 views • 7 months ago

Russia spent a decade making occupied Crimea "energy-independent." This animation shows what the money actually bought. The two plants it built—Balaklava and Tavrida—cover about 90% of Crimea's power. Both run on gas piped from the mainland. So when Ukrainian drones hit the gas stations feeding the grid, Sevastopol goes dark. The whole mechanism, in 90 seconds. ▶️

Russia spent a decade making occupied Crimea "energy-independent." This animation shows what the money actually bought. The two plants it built—Balaklava and Tavrida—cover about 90% of Crimea's power. Both run on gas piped from the mainland. So when Ukrainian drones hit the gas stations feeding the grid, Sevastopol goes dark. The whole mechanism, in 90 seconds. ▶️

Euromaidan Press

29,057 views • 1 month ago

🚨 Simulation Theory: The Double Slit Experiment proves particles act like waves until observed then they snap into particles. What if our reality only "renders" when we're looking, just like a video game optimizing resources? Check out this episode from The Why Files breaking it down, tying it to Simulation Theory. Are we in a sim? This could be the key to unlocking the true nature of existence! The Why Files video did a great job on explaining the Double Slit Experiment & Simulation Theory What do YOU think—real or rendered? Drop your thoughts below!

🚨 Simulation Theory: The Double Slit Experiment proves particles act like waves until observed then they snap into particles. What if our reality only "renders" when we're looking, just like a video game optimizing resources? Check out this episode from The Why Files breaking it down, tying it to Simulation Theory. Are we in a sim? This could be the key to unlocking the true nature of existence! The Why Files video did a great job on explaining the Double Slit Experiment & Simulation Theory What do YOU think—real or rendered? Drop your thoughts below!

Interstellar

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🚨 Mind-blowing stuff: The Double Slit Experiment proves particles act like waves until observed—then they snap into particles. 🤯 What if our reality only "renders" when we're looking, just like a video game optimizing resources? Check out this episode from The Why Files breaking it down, tying it to Simulation Theory. Are we in a sim? This could be the key to unlocking the true nature of existence! The Why Files video did a great job on explaining the Double Slit Experiment & Simulation Theory What do YOU think—real or rendered? Drop your thoughts below!

🚨 Mind-blowing stuff: The Double Slit Experiment proves particles act like waves until observed—then they snap into particles. 🤯 What if our reality only "renders" when we're looking, just like a video game optimizing resources? Check out this episode from The Why Files breaking it down, tying it to Simulation Theory. Are we in a sim? This could be the key to unlocking the true nature of existence! The Why Files video did a great job on explaining the Double Slit Experiment & Simulation Theory What do YOU think—real or rendered? Drop your thoughts below!

Interstellar

120,272 views • 7 months ago

PJ Tucker says he had four root canals, took no pain medication after, got on a plane for four and a half hours, and played Game 7 Host: “During this Game 6 [Warriors-Rockets series], a bunch of your teeth were cracked” PJ: “So I had four root canals. I had one injection. It was like four and a half hours worth of dental work. And then to fly of four and a half hours. And I didn’t take medication because I don’t like taking it” “I was going through it. But you know what? I didn’t give a sh*t, this is what I’ve dreamed of my entire life. I’m prepared to die out here. Like, there’s no other place in the world I’d rather be. Whether I have all my teeth or none. It was like, it didn’t matter, man” Host: “[You] have the root canals. You go on the plane, you get off, and then you play Game 7” PJ: “Yup”

PJ Tucker says he had four root canals, took no pain medication after, got on a plane for four and a half hours, and played Game 7 Host: “During this Game 6 [Warriors-Rockets series], a bunch of your teeth were cracked” PJ: “So I had four root canals. I had one injection. It was like four and a half hours worth of dental work. And then to fly of four and a half hours. And I didn’t take medication because I don’t like taking it” “I was going through it. But you know what? I didn’t give a sh*t, this is what I’ve dreamed of my entire life. I’m prepared to die out here. Like, there’s no other place in the world I’d rather be. Whether I have all my teeth or none. It was like, it didn’t matter, man” Host: “[You] have the root canals. You go on the plane, you get off, and then you play Game 7” PJ: “Yup”

katsu

94,156 views • 28 days ago

DISTURBING: Bill Maher: “A lot of this economy. It just looks like a lot of young women who don’t go to college wind up in some form of the masturbation economy. Making old men with money masterbate… That’s what OnlyFans is, that’s what Strip Clubs is—that’s what all of this is.” Euphoria Creator Sam Levinson: “If you look at OnlyFans, it’s making as much money as Hollywood. I mean, it’s essentially on par… it’s a massive enterprise… The question is what are the long-term consequences of that. What happens when as a young person you’re on IG and these things and you’re told you’re the product… Chasing that desire, that fast cash… we take a fairly critical look at it. It hollows out the individual… you’re constantly just depending on the lights and external validation.” OnlyFans should be BANNED!

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DISTURBING: Bill Maher: “A lot of this economy. It just looks like a lot of young women who don’t go to college wind up in some form of the masturbation economy. Making old men with money masterbate… That’s what OnlyFans is, that’s what Strip Clubs is—that’s what all of this is.” Euphoria Creator Sam Levinson: “If you look at OnlyFans, it’s making as much money as Hollywood. I mean, it’s essentially on par… it’s a massive enterprise… The question is what are the long-term consequences of that. What happens when as a young person you’re on IG and these things and you’re told you’re the product… Chasing that desire, that fast cash… we take a fairly critical look at it. It hollows out the individual… you’re constantly just depending on the lights and external validation.” OnlyFans should be BANNED!

RedWave Press

105,435 views • 1 month ago

The biggest marketplace on Earth won't be the assets humans own. It'll be the data AI needs. Everything that can be digitised is getting pulled in to train the next models. Every scientific dataset, every piece of research sitting in a university, every sensor reading off every John Deere tractor in a field. All of it feeds the machine, and almost none of it is visible to us. What comes out is an agentic economy running at machine speed. You plug your data into a vault, and agents monetise it on your behalf, trading with other agents in real time, in a marketplace we never see. The company sitting on proprietary data becomes part of it without even knowing. This is what the Economic Singularity actually looks like from the inside. The real economy stops being the one we can see and price, and moves somewhere we can't follow. You own a piece of it, or you get priced out of it. Jordi Visser.

The biggest marketplace on Earth won't be the assets humans own. It'll be the data AI needs. Everything that can be digitised is getting pulled in to train the next models. Every scientific dataset, every piece of research sitting in a university, every sensor reading off every John Deere tractor in a field. All of it feeds the machine, and almost none of it is visible to us. What comes out is an agentic economy running at machine speed. You plug your data into a vault, and agents monetise it on your behalf, trading with other agents in real time, in a marketplace we never see. The company sitting on proprietary data becomes part of it without even knowing. This is what the Economic Singularity actually looks like from the inside. The real economy stops being the one we can see and price, and moves somewhere we can't follow. You own a piece of it, or you get priced out of it. Jordi Visser.

Raoul Pal

78,985 views • 23 days ago

This looks like a toy. It's actually the meanest little vision eval I've built. The task: look at an emoji image, then repaint it on a 16×16 grid, one pixel at a time. Just the model, a tiny canvas, and up to 2000 brushstrokes. What I didn't expect was the personalities. > some models REGRET a stroke and go back to repaint it > some get stuck looping the same little patch over and over, like they're trying to animate it > some are calm little surgeons and just nail it first try And the task is genuinely mean: it has to see the image, crush it down to 256 cells, then decide what's actually load-bearing: > the tears on 😂 but still keep the smile > the horn on 🦄 > the antenna on 🤖 and keep the soul of it with almost no resolution to spare. 5 models. 7 emojis. Best of 5 runs each. Side by side. Who's your winner?

This looks like a toy. It's actually the meanest little vision eval I've built. The task: look at an emoji image, then repaint it on a 16×16 grid, one pixel at a time. Just the model, a tiny canvas, and up to 2000 brushstrokes. What I didn't expect was the personalities. > some models REGRET a stroke and go back to repaint it > some get stuck looping the same little patch over and over, like they're trying to animate it > some are calm little surgeons and just nail it first try And the task is genuinely mean: it has to see the image, crush it down to 256 cells, then decide what's actually load-bearing: > the tears on 😂 but still keep the smile > the horn on 🦄 > the antenna on 🤖 and keep the soul of it with almost no resolution to spare. 5 models. 7 emojis. Best of 5 runs each. Side by side. Who's your winner?

stevibe

284,209 views • 1 month ago

A NASA fellow claims 5 equations explain 99 percent of the physics that actually runs your world. Understand them deeply and you are set for life. His words. And the way he does it is what makes the video worth it. He does not teach the five as a list. He tells them as one story, where each equation is born from the one before it. F equals ma leads into gravity. Gravity rhymes with the law of electric charge, the exact same shape. That connects to magnetism. Magnetism folds into the wave. And the wave quietly opens the door to relativity and quantum physics. By the end, all of physics feels like a single sentence written by one hand, not a pile of formulas you were forced to memorize. The move that stays with you comes first. He says F equals ma is written the wrong way around, and rewrites it. One tiny flip, and the most famous equation on Earth suddenly means something school never told you. His point for why this matters now: in the age of AI, the people who understand reality itself stay in demand. Everyone else is just memorizing. Five equations. One thread. It is in the video.

A NASA fellow claims 5 equations explain 99 percent of the physics that actually runs your world. Understand them deeply and you are set for life. His words. And the way he does it is what makes the video worth it. He does not teach the five as a list. He tells them as one story, where each equation is born from the one before it. F equals ma leads into gravity. Gravity rhymes with the law of electric charge, the exact same shape. That connects to magnetism. Magnetism folds into the wave. And the wave quietly opens the door to relativity and quantum physics. By the end, all of physics feels like a single sentence written by one hand, not a pile of formulas you were forced to memorize. The move that stays with you comes first. He says F equals ma is written the wrong way around, and rewrites it. One tiny flip, and the most famous equation on Earth suddenly means something school never told you. His point for why this matters now: in the age of AI, the people who understand reality itself stay in demand. Everyone else is just memorizing. Five equations. One thread. It is in the video.

ooaes

433,106 views • 18 days ago

I made this tool 4 years ago for helping with customer support emails. Instead of typing, it allows you to compose an email by dragging from predefined blocks with variables. So you only write your blocks once, and then you only combine them with drag and drop into an email. You can also save a set of email blocks as a template. When you choose that template, it lets you fill the variables of the template like a form, and then send it. We only use it internally and now with all the gpt stuff going on it seems pointless to release it. or is it? 🤔

I made this tool 4 years ago for helping with customer support emails. Instead of typing, it allows you to compose an email by dragging from predefined blocks with variables. So you only write your blocks once, and then you only combine them with drag and drop into an email. You can also save a set of email blocks as a template. When you choose that template, it lets you fill the variables of the template like a form, and then send it. We only use it internally and now with all the gpt stuff going on it seems pointless to release it. or is it? 🤔

kitze the 🐐

72,424 views • 3 years ago

Scientists just figured out how to reverse aging using AI. And this is a massive breakthrough. We can now reprogram any human cell back to age 20. Heart cells, brain cells, skin cells, all reset to their biological prime. And here’s the wildest part…the technology to do this, has already existed since 2012 (it won the Nobel Prize). But the real breakthrough wasn’t possible until this year, when they supercharged it with AI. It’s a wild story. So in 2006, scientists discovered Yamanaka factors. They’re proteins that can basically convert any normal cell into a universal stem cell. Now this was a huge deal, because these stem cells are basically like magic healers. If you have torn muscle tissue, you could inject these stem cells into the area and they will turn into the youthful muscle cells you need. So Yamanaka factors were this insane breakthrough, because they allowed any human to turn any cell you already have into these magic healers. But, there was one big problem… It turns out, the original Yamanaka factors weren’t very good at this stem cell conversion. They could do it, but they just weren’t very reliable. Enter OpenAI...and this is where things get crazy. OpenAI designed a special AI model built specifically to create new proteins. Think of it like ChatGPT but for protein engineering. So they took all the Yamanaka research and asked this new AI to go ham on improving it. And get this… Their version was 50x more effective than the original. They tested it on 50 year old cells and it successfully started repairing 30% of their cells in just 7 days. This is just science fiction…it actually happened. And it sounds crazy, but in a few years, humans will be able to take a shot that will literally reverse the age of their cells.

Scientists just figured out how to reverse aging using AI. And this is a massive breakthrough. We can now reprogram any human cell back to age 20. Heart cells, brain cells, skin cells, all reset to their biological prime. And here’s the wildest part…the technology to do this, has already existed since 2012 (it won the Nobel Prize). But the real breakthrough wasn’t possible until this year, when they supercharged it with AI. It’s a wild story. So in 2006, scientists discovered Yamanaka factors. They’re proteins that can basically convert any normal cell into a universal stem cell. Now this was a huge deal, because these stem cells are basically like magic healers. If you have torn muscle tissue, you could inject these stem cells into the area and they will turn into the youthful muscle cells you need. So Yamanaka factors were this insane breakthrough, because they allowed any human to turn any cell you already have into these magic healers. But, there was one big problem… It turns out, the original Yamanaka factors weren’t very good at this stem cell conversion. They could do it, but they just weren’t very reliable. Enter OpenAI...and this is where things get crazy. OpenAI designed a special AI model built specifically to create new proteins. Think of it like ChatGPT but for protein engineering. So they took all the Yamanaka research and asked this new AI to go ham on improving it. And get this… Their version was 50x more effective than the original. They tested it on 50 year old cells and it successfully started repairing 30% of their cells in just 7 days. This is just science fiction…it actually happened. And it sounds crazy, but in a few years, humans will be able to take a shot that will literally reverse the age of their cells.

Whiplash347

68,643 views • 9 months ago

Citadel quant quit and walked out with one thing fund never lets leave the building: 120-year-old math that sees a market crash before the chart does. Every big desk runs it. None of them explain it. He turned it into an HMM bot running BTC 5min markets and made $570,000. It switches strategy the second the regime flips and cuts everything the moment panic spikes. His wallet: Full breakdown below. Here's what they actually see. You look at a Bitcoin chart and see a price. A quant sees three states: bull, bear, sideways. The market's always in one. The only question that pays is which one comes next. That's the math. It's called a Markov chain, and it runs on one rule: where price goes next depends only on where it is now. You count how often each state flips to another and drop it into a grid. That grid is a map of the market. Now the part that feels illegal. Want the odds of a crash twelve steps out? You multiply that grid by itself twelve times. One line of math, and you've got the probability of every future state. Then it acts: run the trend when calm, flip to mean reversion in chop, cut everything when panic odds spike. It doesn't predict the future. It gives you the odds of every version of it, then sizes the bet to match. That's the edge. Renaissance ran 66% a year for 30 years on math like this. You can build the basic version in a weekend. Bookmark & read this before it gets buried.

Citadel quant quit and walked out with one thing fund never lets leave the building: 120-year-old math that sees a market crash before the chart does. Every big desk runs it. None of them explain it. He turned it into an HMM bot running BTC 5min markets and made $570,000. It switches strategy the second the regime flips and cuts everything the moment panic spikes. His wallet: Full breakdown below. Here's what they actually see. You look at a Bitcoin chart and see a price. A quant sees three states: bull, bear, sideways. The market's always in one. The only question that pays is which one comes next. That's the math. It's called a Markov chain, and it runs on one rule: where price goes next depends only on where it is now. You count how often each state flips to another and drop it into a grid. That grid is a map of the market. Now the part that feels illegal. Want the odds of a crash twelve steps out? You multiply that grid by itself twelve times. One line of math, and you've got the probability of every future state. Then it acts: run the trend when calm, flip to mean reversion in chop, cut everything when panic odds spike. It doesn't predict the future. It gives you the odds of every version of it, then sizes the bet to match. That's the edge. Renaissance ran 66% a year for 30 years on math like this. You can build the basic version in a weekend. Bookmark & read this before it gets buried.

cvxv666

93,473 views • 1 month ago

A screen recording is the best context you can give an AI agent. It's also the worst. A few seconds of video is thousands of images. Feed that to an agent and you instantly blow up its memory. So I built a tool that fixes it. How it works: Hit record and just do your thing. Click around, type, and talk out loud about what you're doing. While you record, it quietly captures the stuff that actually matters: your voice transcription, every click and the exact thing you clicked, what you typed, and the shortcuts you press. When you stop, it doesn't hand the agent the whole video. It writes a short, readable summary: a timeline of what you said and did. The agent reads that tiny summary first. Then, only when it needs to actually see a moment, it pulls that one exact frame from the video, like flipping to a single page instead of reading the whole book. The result: the agent understands everything you did! Full context. Less tokens.

A screen recording is the best context you can give an AI agent. It's also the worst. A few seconds of video is thousands of images. Feed that to an agent and you instantly blow up its memory. So I built a tool that fixes it. How it works: Hit record and just do your thing. Click around, type, and talk out loud about what you're doing. While you record, it quietly captures the stuff that actually matters: your voice transcription, every click and the exact thing you clicked, what you typed, and the shortcuts you press. When you stop, it doesn't hand the agent the whole video. It writes a short, readable summary: a timeline of what you said and did. The agent reads that tiny summary first. Then, only when it needs to actually see a moment, it pulls that one exact frame from the video, like flipping to a single page instead of reading the whole book. The result: the agent understands everything you did! Full context. Less tokens.

Milind S

12,409 views • 1 month ago

We often hear that machine learning models "learn patterns in data". But what does that actually look like in geometry? If you dropped a little elastic mesh into a cloud of points and let it learn, how would it fold itself to match the shape of the data? In this scene we watch a self-organizing map...a simple unsupervised neural model...learn the shape of a two-dimensional dataset arranged in a spiral arm. On top of this, we lay down a square grid of neurons whose weights live in the same plane. At the start, this grid is just a flat net floating across the cloud...it knows nothing about the structure underneath. Learning is a repeated game: pick a random data point, find the neuron whose weight is closest, and then nudge that neuron and its neighbours toward the point. Do this again and again, while slowly shrinking how far the neighbourhood influence spreads. #MachineLearning #ManifoldLearning #UnsupervisedLearning #NeuralMaps #GeometricML

We often hear that machine learning models "learn patterns in data". But what does that actually look like in geometry? If you dropped a little elastic mesh into a cloud of points and let it learn, how would it fold itself to match the shape of the data? In this scene we watch a self-organizing map...a simple unsupervised neural model...learn the shape of a two-dimensional dataset arranged in a spiral arm. On top of this, we lay down a square grid of neurons whose weights live in the same plane. At the start, this grid is just a flat net floating across the cloud...it knows nothing about the structure underneath. Learning is a repeated game: pick a random data point, find the neuron whose weight is closest, and then nudge that neuron and its neighbours toward the point. Do this again and again, while slowly shrinking how far the neighbourhood influence spreads. #MachineLearning #ManifoldLearning #UnsupervisedLearning #NeuralMaps #GeometricML

Mathelirium

139,682 views • 8 months ago

A Stanford physicist walked into a lecture hall in gym shorts, with no notes, and spent 70 minutes explaining what happens inside a black hole. He is the man who spent 20 years arguing with Stephen Hawking about this exact question, and who eventually won. The man is Leonard Susskind, one of the founders of string theory. And the way he does it is what makes the video worth it. The argument that started it was simple enough to state at a dinner table. Hawking said that when something falls into a black hole, the information about it is destroyed forever. Susskind said the universe cannot forget. If it can, physics itself stops working. That disagreement ran for two decades. Hawking eventually conceded. The part that stays with you is what Susskind says happens to you at the edge. From your own point of view, you cross it and notice nothing unusual. From someone watching outside, you never cross at all. You slow, stretch, and burn at the boundary. Both descriptions are correct. Neither one is a trick. He explains why with no equations and almost no props, from memory, in front of a room where somebody in the front row is eating a sandwich. The comments spend more time on the shorts than the physics, which is its own kind of proof of confidence. Nothing that falls in is gone. The universe keeps a copy of everything, including you. 70 minutes. It is in the video.

A Stanford physicist walked into a lecture hall in gym shorts, with no notes, and spent 70 minutes explaining what happens inside a black hole. He is the man who spent 20 years arguing with Stephen Hawking about this exact question, and who eventually won. The man is Leonard Susskind, one of the founders of string theory. And the way he does it is what makes the video worth it. The argument that started it was simple enough to state at a dinner table. Hawking said that when something falls into a black hole, the information about it is destroyed forever. Susskind said the universe cannot forget. If it can, physics itself stops working. That disagreement ran for two decades. Hawking eventually conceded. The part that stays with you is what Susskind says happens to you at the edge. From your own point of view, you cross it and notice nothing unusual. From someone watching outside, you never cross at all. You slow, stretch, and burn at the boundary. Both descriptions are correct. Neither one is a trick. He explains why with no equations and almost no props, from memory, in front of a room where somebody in the front row is eating a sandwich. The comments spend more time on the shorts than the physics, which is its own kind of proof of confidence. Nothing that falls in is gone. The universe keeps a copy of everything, including you. 70 minutes. It is in the video.

Stefan.

93,893 views • 11 days ago

Scott Jennings hits a former NYPD Lieutenant with a BRUTAL dose of common sense about the shooting in Minneapolis. As Darrin Porcher attempted use his law enforcement background to question the ICE officer’s actions, Scott Jennings delivered the kind of plainspoken truth the media doesn’t want to hear. He spelled out the ABCs of what actually happened on the ground for the entire CNN panel. PORCHER: “Procedurally, this is not sound, but from a law perspective, it can be somewhat questionable.” Then Jennings laid out the facts: JENNINGS: “I mean, contrary to what I heard out here the other day, this person was not a random passerby, who just happened to be driving through her neighborhood.” “This person is part of a group of people who form convoys to interfere with federal law enforcement operations. They drive convoys of cars into active law enforcement situations.” “They interfere with ongoing law enforcement activity. This is a felony to do that, A.” “B, this person had been following ICE around all day. Apparently according to witnesses, now, according to further reporting.” “C, they didn’t follow lawful commands to stop, get out of the car.” “D, they accelerated a car into the officer. It clearly hit the officer.” “I don’t understand how you could watch this video and all the other videos that have come out and not come to the conclusion that this is an unfortunate, tragic situation that was caused by someone, the person driving the vehicle, using extraordinarily poor judgment from top to bottom.” “Doesn’t make me happy. I don’t like it, I hate this, I don’t like it when U.S. Citizens or anyone dies in any kind of engagement with law enforcement like this, but this person exercised EXTREMELY poor judgment and put themselves in harm’s way, probably committing a felony in the process.” “And this is the result.”

Scott Jennings hits a former NYPD Lieutenant with a BRUTAL dose of common sense about the shooting in Minneapolis. As Darrin Porcher attempted use his law enforcement background to question the ICE officer’s actions, Scott Jennings delivered the kind of plainspoken truth the media doesn’t want to hear. He spelled out the ABCs of what actually happened on the ground for the entire CNN panel. PORCHER: “Procedurally, this is not sound, but from a law perspective, it can be somewhat questionable.” Then Jennings laid out the facts: JENNINGS: “I mean, contrary to what I heard out here the other day, this person was not a random passerby, who just happened to be driving through her neighborhood.” “This person is part of a group of people who form convoys to interfere with federal law enforcement operations. They drive convoys of cars into active law enforcement situations.” “They interfere with ongoing law enforcement activity. This is a felony to do that, A.” “B, this person had been following ICE around all day. Apparently according to witnesses, now, according to further reporting.” “C, they didn’t follow lawful commands to stop, get out of the car.” “D, they accelerated a car into the officer. It clearly hit the officer.” “I don’t understand how you could watch this video and all the other videos that have come out and not come to the conclusion that this is an unfortunate, tragic situation that was caused by someone, the person driving the vehicle, using extraordinarily poor judgment from top to bottom.” “Doesn’t make me happy. I don’t like it, I hate this, I don’t like it when U.S. Citizens or anyone dies in any kind of engagement with law enforcement like this, but this person exercised EXTREMELY poor judgment and put themselves in harm’s way, probably committing a felony in the process.” “And this is the result.”

Overton

856,246 views • 7 months ago

Nah this is actually ins@ne. A whole child sm0k!ng in front of his siblings and the adults there are just watching like it’s entertainment?? Then you people will come online and complain about “the next generation” like you’re not the ones enabling it. What exactly are kids supposed to learn from this? Because this is how b@d behavior gets normalized early and spreads fast. Some of you are more focused on recording than actually parenting and it shows. If this doesn’t alarm you, you’re part of the problem.

Nah this is actually ins@ne. A whole child sm0k!ng in front of his siblings and the adults there are just watching like it’s entertainment?? Then you people will come online and complain about “the next generation” like you’re not the ones enabling it. What exactly are kids supposed to learn from this? Because this is how b@d behavior gets normalized early and spreads fast. Some of you are more focused on recording than actually parenting and it shows. If this doesn’t alarm you, you’re part of the problem.

GNF SULTAN🥷⏳🤍

541,651 views • 4 months ago