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Stretching that mouth😮 Sue Storm model: TheMadCommander🇵🇱 Renders/angles/no watermark in bio #SueStorm #MarvelRivals #rule34

honta

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516,914 просмотров • 1 год назад •via X (Twitter)

NSFW #SueStorm #MarvelRivals #rule34

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Cosmic rays altered Susan Storm on a cellular level, granting her the ability to generate impenetrable force fields and to make herself fade from sight in an instant. Despite her frequent lack of visibility, it has always been perfectly clear that Sue is the force holding her family — the Fantastic Four — together. After the Timestream Entanglement, the Invisible Woman has taken full advantage of her powers, using stealth to explore locations too dangerous for her fellow heroes, especially going on rescue missions for civilians trapped by the creatures of the night. On January 10, 2025, prepare yourselves in Season 1: Eternal Night Falls to welcome Sue Storm, the master of stealth and shields! #MarvelRivals

Cosmic rays altered Susan Storm on a cellular level, granting her the ability to generate impenetrable force fields and to make herself fade from sight in an instant. Despite her frequent lack of visibility, it has always been perfectly clear that Sue is the force holding her family — the Fantastic Four — together. After the Timestream Entanglement, the Invisible Woman has taken full advantage of her powers, using stealth to explore locations too dangerous for her fellow heroes, especially going on rescue missions for civilians trapped by the creatures of the night. On January 10, 2025, prepare yourselves in Season 1: Eternal Night Falls to welcome Sue Storm, the master of stealth and shields! #MarvelRivals

Marvel Rivals

4,135,826 просмотров • 1 год назад

Introducing Driver — a transformer-based, real-time, vision-only path prediction model for highway and urban driving. It predicts the vehicle’s future path using only camera-based perception—no Lidar, HD maps, or additional sensors required. We deployed it in closed-loop simulation with CARLA Simulator + GenSim-2, our generative AI model that re-renders realistic camera visuals. (top: original CARLA; bottom: GenSim-2 re-render). See more details in thread👇

Introducing Driver — a transformer-based, real-time, vision-only path prediction model for highway and urban driving. It predicts the vehicle’s future path using only camera-based perception—no Lidar, HD maps, or additional sensors required. We deployed it in closed-loop simulation with CARLA Simulator + GenSim-2, our generative AI model that re-renders realistic camera visuals. (top: original CARLA; bottom: GenSim-2 re-render). See more details in thread👇

Helm.ai

4,040,913 просмотров • 1 год назад

Seedance 2.5 Storyboard Director, a free Claude skill. Your storyboard isn't doing anything. You draw it. You upload it. Seedance 2.5 renders something else and you blame the model. It isn't the model. A board with no panel to timestamp mapping is just another style reference. Nothing tells Seedance 2.5 those panels are the shot order. So I built the mapping in: → Timestamped storyboard sheet prompts. → Character sheet prompts with face lock. → Video prompts where every beat carries its panel code. → A locked @ reference order that stops character drift. → Exclusion lines that keep panel borders and gray backdrops out. → 10 intake questions, each with a default. Prompts, not images. Paste them into whatever image model you run. Free download in the reply.

Seedance 2.5 Storyboard Director, a free Claude skill. Your storyboard isn't doing anything. You draw it. You upload it. Seedance 2.5 renders something else and you blame the model. It isn't the model. A board with no panel to timestamp mapping is just another style reference. Nothing tells Seedance 2.5 those panels are the shot order. So I built the mapping in: → Timestamped storyboard sheet prompts. → Character sheet prompts with face lock. → Video prompts where every beat carries its panel code. → A locked @ reference order that stops character drift. → Exclusion lines that keep panel borders and gray backdrops out. → 10 intake questions, each with a default. Prompts, not images. Paste them into whatever image model you run. Free download in the reply.

BMX

80,263 просмотров • 1 месяц назад

training a model that takes a text prompt and generates audio that renders video on an oscilloscope AgenC agents live inside worlds the model generates the pipeline: real videos -> edge detection -> vectorization -> path ordering -> 192kHz 3-channel WAV where X/Y control beam position and Z controls beam intensity 3 values per timestep. that's all the model is learning. compare that to video gen models trying to predict millions of pixels per frame. transformers are already great at sequence prediction and that's literally all this is. waveform generation the output IS the playback. generate the audio, feed it to a scope, it draws the scene in real-time. there's no rendering step. it's analog so there's no pixel grid. you get continuous curves and effectively infinite resolution bootstrapped with procedural data, lissajous curves, wireframe 3D, stick figures, then scaled on real-world video converted to trace format. 90 TB of source video the model learns edges, contours, spatial relationships, motion. once it has that, describing a scene it's never seen is novel trajectory through the same learned space. generative geometry

training a model that takes a text prompt and generates audio that renders video on an oscilloscope AgenC agents live inside worlds the model generates the pipeline: real videos -> edge detection -> vectorization -> path ordering -> 192kHz 3-channel WAV where X/Y control beam position and Z controls beam intensity 3 values per timestep. that's all the model is learning. compare that to video gen models trying to predict millions of pixels per frame. transformers are already great at sequence prediction and that's literally all this is. waveform generation the output IS the playback. generate the audio, feed it to a scope, it draws the scene in real-time. there's no rendering step. it's analog so there's no pixel grid. you get continuous curves and effectively infinite resolution bootstrapped with procedural data, lissajous curves, wireframe 3D, stick figures, then scaled on real-world video converted to trace format. 90 TB of source video the model learns edges, contours, spatial relationships, motion. once it has that, describing a scene it's never seen is novel trajectory through the same learned space. generative geometry

tetsuo

18,397 просмотров • 7 месяцев назад

I asked Sam Altman if he's worried about watermark removers on Sora. Everyone's seen the unfiltered Jake Paul videos with no watermark (generated by Sora) going viral on socials... So what's the pull for creators to enable face cameos with that risk? Sam's take: open source deepfake models are coming whether we like it or not, so releasing Sora early with guardrails helps society adapt before the flood hits. "One of the reasons we release technology like this is we see something coming and know that in some number of months or years it's gonna be widely available through open source models." Anybody will be able to make a video of you doing whatever they want with publicly available footage of you on the internet. Society will adapt... but one of the ways we've found to help society with these transitions is to release it early with guardrails so that society and technology have time to co-evolve. And that worked with text, I think video's going to be harder because video hits in a way that text doesn't always. But I think we'll learn to adapt, and we'll learn very quickly that there will be a lot of fake video of you on the internet, generated with no watermark by some open source model, and not that easy to trace. That's just gonna happen, so getting society inoculated to that probably has some value."

I asked Sam Altman if he's worried about watermark removers on Sora. Everyone's seen the unfiltered Jake Paul videos with no watermark (generated by Sora) going viral on socials... So what's the pull for creators to enable face cameos with that risk? Sam's take: open source deepfake models are coming whether we like it or not, so releasing Sora early with guardrails helps society adapt before the flood hits. "One of the reasons we release technology like this is we see something coming and know that in some number of months or years it's gonna be widely available through open source models." Anybody will be able to make a video of you doing whatever they want with publicly available footage of you on the internet. Society will adapt... but one of the ways we've found to help society with these transitions is to release it early with guardrails so that society and technology have time to co-evolve. And that worked with text, I think video's going to be harder because video hits in a way that text doesn't always. But I think we'll learn to adapt, and we'll learn very quickly that there will be a lot of fake video of you on the internet, generated with no watermark by some open source model, and not that easy to trace. That's just gonna happen, so getting society inoculated to that probably has some value."

Rowan Cheung

91,692 просмотров • 11 месяцев назад

Today I made a prototype of a system that turns a single AI-generated portrait into a living VTuber. No rigging, no Live2D, nobody spending 80 hours in an editor. The character was generated locally with SDXL using the same model and custom LoRA I use for the art bot in my Discord server. A video model (Grok) then animated her into a chain of idle clips, each one starting on the exact frame where the previous one ended, so she loops forever and rarely cuts. Her mouth is the interesting part: a tracker follows the drawn lines of her lips through every frame, measuring position, angle, and width, and a composited mouth rides along, rotating and foreshortening as her head moves. The mouth shapes themselves were inpainted onto her own face by SDXL, so every viseme is in her exact art style. Real phoneme detection drives which shape shows. Because the mouth is composited rather than baked in, it stops the instant the voice stops. The body animation never even knows speech exists. Animating her ate about half of my SuperGrok credits, which works out to $14.32 if you paid for the same experimentation directly. I used 5 of the 12 generated clips in this demo. Narrated this demo using the Kokoro TTS model for free. Next step would be webcam emotion detection so she can swap between animation sets when the streamer smiles or gasps, more mouth shapes

Today I made a prototype of a system that turns a single AI-generated portrait into a living VTuber. No rigging, no Live2D, nobody spending 80 hours in an editor. The character was generated locally with SDXL using the same model and custom LoRA I use for the art bot in my Discord server. A video model (Grok) then animated her into a chain of idle clips, each one starting on the exact frame where the previous one ended, so she loops forever and rarely cuts. Her mouth is the interesting part: a tracker follows the drawn lines of her lips through every frame, measuring position, angle, and width, and a composited mouth rides along, rotating and foreshortening as her head moves. The mouth shapes themselves were inpainted onto her own face by SDXL, so every viseme is in her exact art style. Real phoneme detection drives which shape shows. Because the mouth is composited rather than baked in, it stops the instant the voice stops. The body animation never even knows speech exists. Animating her ate about half of my SuperGrok credits, which works out to $14.32 if you paid for the same experimentation directly. I used 5 of the 12 generated clips in this demo. Narrated this demo using the Kokoro TTS model for free. Next step would be webcam emotion detection so she can swap between animation sets when the streamer smiles or gasps, more mouth shapes

Jag the Hero

279,830 просмотров • 2 месяцев назад

A Tesla Robotaxi drove me home tonight. I left my car at UP. I hit a pothole very hard and it broke something. Yikes. I was even looking at the road during this and didn’t see it in time. Waymo doesn’t yet come to either place. An empty freeway let me see the software that run the matrix headlights in the new Model Y light up the signs in a much better way than in our Model Y. It cleans the camera in a far different way too. No takeovers in 12 rides. I do my homework before I mouth off on ’d subscriber-only show on Sundays. The more experience I get in it the more bullish I get.

A Tesla Robotaxi drove me home tonight. I left my car at UP. I hit a pothole very hard and it broke something. Yikes. I was even looking at the road during this and didn’t see it in time. Waymo doesn’t yet come to either place. An empty freeway let me see the software that run the matrix headlights in the new Model Y light up the signs in a much better way than in our Model Y. It cleans the camera in a far different way too. No takeovers in 12 rides. I do my homework before I mouth off on ’d subscriber-only show on Sundays. The more experience I get in it the more bullish I get.

Robert Scoble

4,767,211 просмотров • 1 год назад

I just want to make it clear that this interview with Charleston White is POST-trial. A few facts: •It was a knife. •The photo shown is the actual knife used to kill Austin. It was presented as evidence during the trial. •No, the knife was not illegal because its blade was under 5½ inches. However, it was against school policy. And NO ONE brings a knife to a track meet. •The medical examiner testified, and her report was presented in court. •The jury was shown the video in full, from multiple angles. Charleston White does nothing but speak vomit from his mouth, which is exactly why I sued him.

I just want to make it clear that this interview with Charleston White is POST-trial. A few facts: •It was a knife. •The photo shown is the actual knife used to kill Austin. It was presented as evidence during the trial. •No, the knife was not illegal because its blade was under 5½ inches. However, it was against school policy. And NO ONE brings a knife to a track meet. •The medical examiner testified, and her report was presented in court. •The jury was shown the video in full, from multiple angles. Charleston White does nothing but speak vomit from his mouth, which is exactly why I sued him.

Sarah Fields

56,089 просмотров • 2 месяцев назад

🚨 “DEAR JESUS, PLEASE HELP THEM.” — THE EXACT SECOND THE WEATHERMAN STOPS REPORTING AND STARTS PRAYING May 22, 2011 in Joplin, Missouri. An EF-5 tornado is tearing through the city while local meteorologists stay live, tracking it in real time. On radar, the circulation tightens. Then the power flashes start, blue and green explosions inside the storm as transformers blow and neighborhoods go dark. That’s when everything changes. He stops analyzing the radar, bends forward with his hand over his mouth, and says quietly, “Oh man. Dear Jesus, please help them.” In that moment, it’s no longer a forecast. It’s a man realizing he’s watching a city being destroyed live. The storm would become the 2011 Joplin tornado, one of the deadliest and most destructive in modern U.S. history. You can see and hear the exact second the realization hits him. Have you ever heard a live broadcast turn like that?

🚨 “DEAR JESUS, PLEASE HELP THEM.” — THE EXACT SECOND THE WEATHERMAN STOPS REPORTING AND STARTS PRAYING May 22, 2011 in Joplin, Missouri. An EF-5 tornado is tearing through the city while local meteorologists stay live, tracking it in real time. On radar, the circulation tightens. Then the power flashes start, blue and green explosions inside the storm as transformers blow and neighborhoods go dark. That’s when everything changes. He stops analyzing the radar, bends forward with his hand over his mouth, and says quietly, “Oh man. Dear Jesus, please help them.” In that moment, it’s no longer a forecast. It’s a man realizing he’s watching a city being destroyed live. The storm would become the 2011 Joplin tornado, one of the deadliest and most destructive in modern U.S. history. You can see and hear the exact second the realization hits him. Have you ever heard a live broadcast turn like that?

HustleBitch

552,281 просмотров • 7 месяцев назад

The Berezovka mammoth was found frozen in permafrost in a position that tells an extraordinary story. Sitting on its haunches with both hips broken, it had food in its mouth and undigested material in its stomach that had never had time to putrefy. Scientific analysis concluded that the entire six ton carcass would have had to be frozen within approximately ten hours to prevent biological decomposition of the stomach contents from beginning. The question that conclusion forces is one Randall states directly - how do you freeze a six ton mammoth in ten hours? Under any gradual or incremental climate change scenario the answer is that you simply do not. The Berezovka mammoth is physical evidence of a temperature drop so sudden and so catastrophic that a living animal was flash frozen mid-meal, food still in its mouth, before decomposition could begin. Both hips broken suggests it was thrown or fell violently before the freeze occurred. Something happened - and whatever it was, it happened with a speed that no conventional model of glacial climate change has ever been able to account for. Come step into the field with Randall and see the evidence first hand - click here for the Finger Lakes tour! 👇

The Berezovka mammoth was found frozen in permafrost in a position that tells an extraordinary story. Sitting on its haunches with both hips broken, it had food in its mouth and undigested material in its stomach that had never had time to putrefy. Scientific analysis concluded that the entire six ton carcass would have had to be frozen within approximately ten hours to prevent biological decomposition of the stomach contents from beginning. The question that conclusion forces is one Randall states directly - how do you freeze a six ton mammoth in ten hours? Under any gradual or incremental climate change scenario the answer is that you simply do not. The Berezovka mammoth is physical evidence of a temperature drop so sudden and so catastrophic that a living animal was flash frozen mid-meal, food still in its mouth, before decomposition could begin. Both hips broken suggests it was thrown or fell violently before the freeze occurred. Something happened - and whatever it was, it happened with a speed that no conventional model of glacial climate change has ever been able to account for. Come step into the field with Randall and see the evidence first hand - click here for the Finger Lakes tour! 👇

Randall Carlson

271,241 просмотров • 5 месяцев назад

Hugh Grant on working with Roman Polanski & Emmanuelle Seigner in "Bitter Moon" (1992) “Roman Polanski’s marriage to actress Emmanuelle Seigner is like a ship with two mates and no captain. I think they’re having a marvelous time! Roman’s temperamental in the old-fashioned tradition of the maestro director. It was fun to watch him lose his temper, particularly with Emmanuelle. There was a lot of that. He would storm off the set saying, “No, I’m not shooting anything today. No, no, forget it.” And she’d say, “Oh no, come back, come back. I’ll try harder this time.” Emmanuelle ’s very naughty as well. I remember doing a standard film kiss, which is really quite chaste, and she kept breaking away and saying, “What are you doing? You put your tongue in my mouth! Don’t do that!” Which, I promise you, I wasn’t doing. She was just trying to create trouble with Roman.” ("Oral History: Hugh Grant’s Polanski Experience", Jack Tewksbury, Golden Globes, 2018) P.S: On this day, 34 years ago, "Bitter Moon" (1992) premiered in London, UK.

Hugh Grant on working with Roman Polanski & Emmanuelle Seigner in "Bitter Moon" (1992) “Roman Polanski’s marriage to actress Emmanuelle Seigner is like a ship with two mates and no captain. I think they’re having a marvelous time! Roman’s temperamental in the old-fashioned tradition of the maestro director. It was fun to watch him lose his temper, particularly with Emmanuelle. There was a lot of that. He would storm off the set saying, “No, I’m not shooting anything today. No, no, forget it.” And she’d say, “Oh no, come back, come back. I’ll try harder this time.” Emmanuelle ’s very naughty as well. I remember doing a standard film kiss, which is really quite chaste, and she kept breaking away and saying, “What are you doing? You put your tongue in my mouth! Don’t do that!” Which, I promise you, I wasn’t doing. She was just trying to create trouble with Roman.” ("Oral History: Hugh Grant’s Polanski Experience", Jack Tewksbury, Golden Globes, 2018) P.S: On this day, 34 years ago, "Bitter Moon" (1992) premiered in London, UK.

DepressedBergman

91,583 просмотров • 2 месяцев назад

There is a place in our Nation's Capitol where silence does the speaking, where a single post is kept without pause, in heat, in cold, in storm, by sentinels who march not for applause, but for honor. Beneath that sacred stone rests not one man, nor one battle, but every warrior whose life was given in defense of liberty, yet whose name history could not record. No rank. No medals. Only a Nation's eternal promise, "you will not be forgotten." On this Veterans Day Weekend, that promise extends to all who have ever worn the uniform, those known and unknown, those who returned home and those who rest forever on distant soil, those whose names we read aloud and those carried only in the hearts of their families. It reminds us that the worth of a Soldier is not measured by the praise he receives, but by the sacrifice he renders. For liberty is not secured by proclamations or public display, but by those steadfast souls who laid down their own tomorrows, that their fellow citizens might yet inherit the blessings of a free and sovereign people. As citizens of the Republic they died to defend, our duty is clear to ensure that the Nation they served remains one worthy of defending. God bless our Veterans and the families who stood beside them. Arlington National Cemetery

There is a place in our Nation's Capitol where silence does the speaking, where a single post is kept without pause, in heat, in cold, in storm, by sentinels who march not for applause, but for honor. Beneath that sacred stone rests not one man, nor one battle, but every warrior whose life was given in defense of liberty, yet whose name history could not record. No rank. No medals. Only a Nation's eternal promise, "you will not be forgotten." On this Veterans Day Weekend, that promise extends to all who have ever worn the uniform, those known and unknown, those who returned home and those who rest forever on distant soil, those whose names we read aloud and those carried only in the hearts of their families. It reminds us that the worth of a Soldier is not measured by the praise he receives, but by the sacrifice he renders. For liberty is not secured by proclamations or public display, but by those steadfast souls who laid down their own tomorrows, that their fellow citizens might yet inherit the blessings of a free and sovereign people. As citizens of the Republic they died to defend, our duty is clear to ensure that the Nation they served remains one worthy of defending. God bless our Veterans and the families who stood beside them. Arlington National Cemetery

General Mike Flynn

167,644 просмотров • 10 месяцев назад

🚨EXPOSED: Candace Owens EXPOSES The Gaps In Erika Kirk’s Timeline- Erika Doing Everything...Yet NOTHING At The Same Time 🕵️‍♀️💸 How does a 27-year-old with no visible income live in New York City, travel the Mediterranean, and scout locations in Brooklyn? Candace just laid out the 2015–2017 Erika Kirk receipts, and it raises massive red flags: The Model Apartment Link: Next Model Management staff remember Erika as the "point person" for model apartments housing girls from Eastern Europe. What were her actual qualifications? The "Scam" LLCs: While Erika was "soft-launching" charities that never arrived, her mother (Lori) was busy creating G-Tech and Saxon Capital Group—a web of LLCs and "EMP fearmongering" that looks like a massive tax-dollar grab. The CIA Connection: How does a "pageant girl" end up in a documentary about EMP attacks alongside the Director of the CIA? Candace isn't buying the "it’s just a coincidence" excuse. The more we look, the more it looks like a "colony of corruption" stretching from NYC to the Arizona border. FOLLOW Candace Owens, RT, and watch her FULL Episode down below.👇

🚨EXPOSED: Candace Owens EXPOSES The Gaps In Erika Kirk’s Timeline- Erika Doing Everything...Yet NOTHING At The Same Time 🕵️‍♀️💸 How does a 27-year-old with no visible income live in New York City, travel the Mediterranean, and scout locations in Brooklyn? Candace just laid out the 2015–2017 Erika Kirk receipts, and it raises massive red flags: The Model Apartment Link: Next Model Management staff remember Erika as the "point person" for model apartments housing girls from Eastern Europe. What were her actual qualifications? The "Scam" LLCs: While Erika was "soft-launching" charities that never arrived, her mother (Lori) was busy creating G-Tech and Saxon Capital Group—a web of LLCs and "EMP fearmongering" that looks like a massive tax-dollar grab. The CIA Connection: How does a "pageant girl" end up in a documentary about EMP attacks alongside the Director of the CIA? Candace isn't buying the "it’s just a coincidence" excuse. The more we look, the more it looks like a "colony of corruption" stretching from NYC to the Arizona border. FOLLOW Candace Owens, RT, and watch her FULL Episode down below.👇

Project Constitution

37,345 просмотров • 6 месяцев назад

$Benoit Mandelbrot, Yale professor, IBM Fellow, and inventor of fractals: "Every risk model at Citadel, Goldman and JPMorgan assumes markets are 'normal.' I proved they're wild. That one lie has vaporized hundreds of billions." this free TED talk is mandelbrot months before he died. almost every risk model treats the market as mild and smooth. he proved it's the opposite: rough, jagged, and wild, with extremes far more common than the bell curve allows. that gap is not academic. under the bell curve, the 2008 crash was a once-in-a-billion-years event. it happens roughly every decade. every VaR model that whispered "you're safe" and every fund that blew up in a week was trusting the same lie. those wild days also cluster together, which is exactly the "regime change" the thread is trying to catch. none of it is new. mandelbrot showed it in cotton prices in the 1960s, gave this talk for free, and wrote a whole book about it for the public. same lesson as my article: the math sat there for decades, ignored because it was inconvenient. here is what the regime thread won't admit. no model catches the wild day before it hits, its timing is unknowable by design. the edge isn't predicting the storm, it's sizing so a single wild day can never end you. the math is free. respecting the tails is the discipline almost nobody has.$

Benoit Mandelbrot, Yale professor, IBM Fellow, and inventor of fractals: "Every risk model at Citadel, Goldman and JPMorgan assumes markets are 'normal.' I proved they're wild. That one lie has vaporized hundreds of billions." this free TED talk is mandelbrot months before he died. almost every risk model treats the market as mild and smooth. he proved it's the opposite: rough, jagged, and wild, with extremes far more common than the bell curve allows. that gap is not academic. under the bell curve, the 2008 crash was a once-in-a-billion-years event. it happens roughly every decade. every VaR model that whispered "you're safe" and every fund that blew up in a week was trusting the same lie. those wild days also cluster together, which is exactly the "regime change" the thread is trying to catch. none of it is new. mandelbrot showed it in cotton prices in the 1960s, gave this talk for free, and wrote a whole book about it for the public. same lesson as my article: the math sat there for decades, ignored because it was inconvenient. here is what the regime thread won't admit. no model catches the wild day before it hits, its timing is unknowable by design. the edge isn't predicting the storm, it's sizing so a single wild day can never end you. the math is free. respecting the tails is the discipline almost nobody has.

Rossst.03

35,425 просмотров • 2 месяцев назад

🚨TERRIFYING MOMENT ON POLISH BEACH: 2-YEAR-OLD VANISHES INTO THE BALTIC — THEN DOZENS OF STRANGERS LINK ARMS AND FORM A HUMAN CHAIN IN THE WAVES TO FIND HIM 🇵🇱❤️ A 2-year-old child went missing on the beach in Stegna. Panic. Fear. The sea was right there. Within minutes, ordinary people — tourists and locals who had never met each other — dropped everything. Men and women ran into the water, linked arms, and formed a long human chain stretching into the Baltic waves. They moved together, meter by meter, searching every part of the shoreline and shallow water. A woman with a megaphone directed the effort while more people kept joining. No one waited for instructions. No one stood and watched. The child was found safe and healthy. This is the real Poland. When a small child is in danger, strangers become family in seconds. Beautiful. Powerful. Unforgettable. Would you have joined that chain without hesitation?

🚨TERRIFYING MOMENT ON POLISH BEACH: 2-YEAR-OLD VANISHES INTO THE BALTIC — THEN DOZENS OF STRANGERS LINK ARMS AND FORM A HUMAN CHAIN IN THE WAVES TO FIND HIM 🇵🇱❤️ A 2-year-old child went missing on the beach in Stegna. Panic. Fear. The sea was right there. Within minutes, ordinary people — tourists and locals who had never met each other — dropped everything. Men and women ran into the water, linked arms, and formed a long human chain stretching into the Baltic waves. They moved together, meter by meter, searching every part of the shoreline and shallow water. A woman with a megaphone directed the effort while more people kept joining. No one waited for instructions. No one stood and watched. The child was found safe and healthy. This is the real Poland. When a small child is in danger, strangers become family in seconds. Beautiful. Powerful. Unforgettable. Would you have joined that chain without hesitation?

Slavic Networks

3,475,856 просмотров • 1 месяц назад

She's 21. Started with ONE gym video. Now she's making $30k/month off AI girls that never skip leg day — and never existed. 21 years old. No modeling agency. No camera crew. Just Claude, a laptop, and one workout clip. She noticed something: fitness content gets insane engagement, but real creators burn out — no gym breaks, no bad angles, no off days. So she built an AI version instead. Here's exactly what she did: 1. Took one high-quality gym video as a "base" — movement, lighting, vibe — and used it to define the persona's whole aesthetic 2. Used Claude to write the persona's bio, captions, and DM personality — someone people would actually want to follow 3. Used separate AI tools to generate consistent images/clips in that same gym-girl style — always on-brand, always "in character" 4. Posted like a real fitness page: progress updates, workout tips, motivational captions — not obviously AI 5. Built the funnel: free gym content → "form check" DMs → paid subscription → 1-on-1 paid coaching chat 6. Used Claude to A/B test captions and hooks, kept only what actually drove clicks 7. Reinvested profit into more content variety — different workouts, outfits, locations — so the persona felt alive, not repetitive 8. Automated replies for the free tier, kept the paid tier "personal" to boost retention Result: one gym persona, $30k/month, zero actual gym membership. The fitness niche alone is one of the most underrated angles in this whole space — the engagement is already built in, you just need consistency. Save this before it's gone.

DenlitL

4,149,955 просмотров • 1 месяц назад

🥶 SOURCE REGION FOR THE NEXT COLD BLAST = SIBERIA RUSSIA! Air-parcel trajectory analysis will confirm the next polar plunge has true Arctic origins, tapping air straight from the North Pole with modified Siberian air mixed in. That’s the kind of source region that delivers exceptionally harsh wind chills, not just a standard cold shot. 🌬️ This air mass will sweep across the northern tier of the U.S. and into the Northeast, reinforcing the cold we already have in place. There’s simply no meaningful break from the cold pattern ahead. ❄️ I’ll be posting updated thoughts on Sunday’s storm shortly as model guidance tightens up after the 12z's are all in 📺 Back on TV tomorrow morning on PIX11 News from 7–10AM.

🥶 SOURCE REGION FOR THE NEXT COLD BLAST = SIBERIA RUSSIA! Air-parcel trajectory analysis will confirm the next polar plunge has true Arctic origins, tapping air straight from the North Pole with modified Siberian air mixed in. That’s the kind of source region that delivers exceptionally harsh wind chills, not just a standard cold shot. 🌬️ This air mass will sweep across the northern tier of the U.S. and into the Northeast, reinforcing the cold we already have in place. There’s simply no meaningful break from the cold pattern ahead. ❄️ I’ll be posting updated thoughts on Sunday’s storm shortly as model guidance tightens up after the 12z's are all in 📺 Back on TV tomorrow morning on PIX11 News from 7–10AM.

Mike Masco

35,045 просмотров • 9 месяцев назад

There were, perhaps still are, the blessed few who’ve seen Begum Akhtar take a paan. To have witnessed it was to have glimpsed nafaasat as a reflex. Observers were often struck by the smallness of the paan. The gilauri was pared down to what was essential. Just choona, kathha, supari. Maybe some saunf and ilaichi (no zarda: tobacco she smoked, leaving her paan innocent of vice). A triangular wedge tucked between cheek and grace. It stayed there invisibly, like a secret. Would stain the mouth, but never the lips. The nafasat lay in that distinction. It was a kind of calibration. There were no unseemly bovine workings of the jaw. The leaf infused her, perfumed her throat. You wouldn’t know there was betel in her mouth unless she wanted you to. Unless she laughed. Decades of paan and supari will do things to a mouth. Many have wondered if the gilauri was Akhtari’s accomplice. If it gave the grain in her voice. With years of lime and areca alkaloids, the buccal lining grows stringy and gets bands of scars underneath. Oral submucous fibrosis is a chronic, insidious, scarring disease of the oral cavity. The tongue is depapillated, the mucosa becomes leathery, the uvula shrinks. Palatal lift is less supple. Consonants get cramped at the front gate. The singer’s mucosa, once a lubricated resonator, becomes almost like dry felt. And tightened by scar. Paan-chewing cohorts show measurable drifts in voice parameters. There’s a kind of spectral roughness: the bloom left by years of petty friction and low-grade scarring. And dryness. It leaves them wanting more of the betel quid, to sluice the mouth and throat in that alkaline, tannin-rich juice. I’ve no evidence that Akhtari ever suffered that slow tightening, or what shape it might have given her sound. But here is Chha Rahi Kaali Ghataa, from her later years, when her voice had begun to carry its own weather. The dark rainclouds are outside, the storm is in the throat.

There were, perhaps still are, the blessed few who’ve seen Begum Akhtar take a paan. To have witnessed it was to have glimpsed nafaasat as a reflex. Observers were often struck by the smallness of the paan. The gilauri was pared down to what was essential. Just choona, kathha, supari. Maybe some saunf and ilaichi (no zarda: tobacco she smoked, leaving her paan innocent of vice). A triangular wedge tucked between cheek and grace. It stayed there invisibly, like a secret. Would stain the mouth, but never the lips. The nafasat lay in that distinction. It was a kind of calibration. There were no unseemly bovine workings of the jaw. The leaf infused her, perfumed her throat. You wouldn’t know there was betel in her mouth unless she wanted you to. Unless she laughed. Decades of paan and supari will do things to a mouth. Many have wondered if the gilauri was Akhtari’s accomplice. If it gave the grain in her voice. With years of lime and areca alkaloids, the buccal lining grows stringy and gets bands of scars underneath. Oral submucous fibrosis is a chronic, insidious, scarring disease of the oral cavity. The tongue is depapillated, the mucosa becomes leathery, the uvula shrinks. Palatal lift is less supple. Consonants get cramped at the front gate. The singer’s mucosa, once a lubricated resonator, becomes almost like dry felt. And tightened by scar. Paan-chewing cohorts show measurable drifts in voice parameters. There’s a kind of spectral roughness: the bloom left by years of petty friction and low-grade scarring. And dryness. It leaves them wanting more of the betel quid, to sluice the mouth and throat in that alkaline, tannin-rich juice. I’ve no evidence that Akhtari ever suffered that slow tightening, or what shape it might have given her sound. But here is Chha Rahi Kaali Ghataa, from her later years, when her voice had begun to carry its own weather. The dark rainclouds are outside, the storm is in the throat.

Ambarish Satwik

30,465 просмотров • 10 месяцев назад