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Found It! What's Next? ProSauce Finder | Late Night Visit Artist/Animator " Audrix Characters " Power Girl And Raven From The DCU {#psfinderreborn #saucefinder #prosaucefinder #sauce #source #nsfw #animation #r34 #rule34}

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Synapse RPC is now live Synapse | Powered by OOBE After weeks of relentless building, testing, and optimization, it’s finally here. Synapse delivers ultra-low latency, high throughput, and intelligent routing, fully integrated with the OOBE SDK. It is built from the ground up to power on-chain agents and decentralized AI infrastructure. Congratulations to k6sol and SteveTheHead for the relentless effort into the night. Animation by Smile our artist! Start using it now: Powered by $OOBE

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Tesla’s new Megapack factory in Houston will be their most capable yet, with an annual production capacity of 50 GWh—25% more than their other two Megapack factories. Once fully ramped, Tesla’s three Megafactories will produce a combined 130 GWh of battery energy storage a year, enough to power ~50 million homes. That's nearly 4.2x more battery energy storage than Tesla deployed in all of 2024. The Houston facility will be the first to manufacture the all-new Megapack 3 in late 2026. This product will partly source LFP cells from Tesla's brand new LFP manufacturing plant in Nevada (next to Giga Nevada). The Nevada facility will begin production in the coming months, making it the first time Tesla will produce and source LFP cells domestically — and from its own operations. Tesla Energy is just getting started🔋

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First year of cardiology fellowship was rather rough for me- many negative life events had impacted my transition from residency to fellowship! Found solace in a mediation program offered at the local monastery twice a week late in the evening! I did that for three years of fellowship and gained deep understanding in the science of meditation and how it enhances your intuitive power and inner joy to greater extent! Since then always wanted to visit the Chung Tai Monastery original branch in Puli, Taiwan. I did that on this birthday. It was so special. Coz of my previous connection- was able to get the tour of this gorgeous monastery by the shifu herself and meditate in the golden dome( seen in the photo)! The energy in of this place is incredible ! Put it on your list to visit if you are even a bit spiritually inclined. PS Taiwan is beautiful- people here are amazing! Thank you all for wonderful birthday wishes. It’s been an honor to be part of this large cardiac community on X !

First year of cardiology fellowship was rather rough for me- many negative life events had impacted my transition from residency to fellowship! Found solace in a mediation program offered at the local monastery twice a week late in the evening! I did that for three years of fellowship and gained deep understanding in the science of meditation and how it enhances your intuitive power and inner joy to greater extent! Since then always wanted to visit the Chung Tai Monastery original branch in Puli, Taiwan. I did that on this birthday. It was so special. Coz of my previous connection- was able to get the tour of this gorgeous monastery by the shifu herself and meditate in the golden dome( seen in the photo)! The energy in of this place is incredible ! Put it on your list to visit if you are even a bit spiritually inclined. PS Taiwan is beautiful- people here are amazing! Thank you all for wonderful birthday wishes. It’s been an honor to be part of this large cardiac community on X !

Dr. Purvi Parwani

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Was watching a Charlie video about a streamer (Morgpie) and noticed she used the Me!Me!Me! Girl as the dono notif animation. Humans are stupid to a fascinating degree. We will warn ourselves of mistakes then not only completely ignore them, but use said warning to promote what the message was AGAINST. "History repeats itself" is always talked about but what's never mentioned is how we predetermine our future too. Look at A.I and the way that's going, how many pieces of Scifi have warned us about corporations running the future or the dangers of it yet here we are with A.I "art" in games and advertisements. We try to prevent ourselves from making future mistakes and what happens? We happily ignore them until it's too late then cry and wonder how we got here.

Was watching a Charlie video about a streamer (Morgpie) and noticed she used the Me!Me!Me! Girl as the dono notif animation. Humans are stupid to a fascinating degree. We will warn ourselves of mistakes then not only completely ignore them, but use said warning to promote what the message was AGAINST. "History repeats itself" is always talked about but what's never mentioned is how we predetermine our future too. Look at A.I and the way that's going, how many pieces of Scifi have warned us about corporations running the future or the dangers of it yet here we are with A.I "art" in games and advertisements. We try to prevent ourselves from making future mistakes and what happens? We happily ignore them until it's too late then cry and wonder how we got here.

🎮𝙆𝙖𝙞𝙮𝙖🎮

3,398,362 görüntüleme • 8 ay önce

#ProjectNewZealand Day 3/4/5: 28km/51km/17km After a long day on the move yesterday, I found myself still on the trail late into the night. Phone dead. Head torch fading. Miles from my team. Nearly 50km deep, I’d bowled through forests, mountains, rivers, whatever New Zealand had thrown my way. But moving through it all at night was a different kettle of fish, and I was starting to think I’d slightly overcooked this one. With just a few emergency bits on me, I navigated off my watch and eventually stumbled across a hut. Inside, to my surprise, was a Canadian lad I’d met a few days before. He lent me a sleeping bag liner, and I wrapped up with my foil blanket like a human baked potato. The kindness of strangers coming through yet again. Not every day goes to plan on these projects, but that’s kind of the point. The best adventures aren’t the ones that run smoothly, they’re the ones that force you to adapt, push through, and trust that the next turn in the trail might just bring exactly what you need. Jumping on some tarmac over the next few days to crush some mileage. Hope you’ve all had a great week out there🫡

#ProjectNewZealand Day 3/4/5: 28km/51km/17km After a long day on the move yesterday, I found myself still on the trail late into the night. Phone dead. Head torch fading. Miles from my team. Nearly 50km deep, I’d bowled through forests, mountains, rivers, whatever New Zealand had thrown my way. But moving through it all at night was a different kettle of fish, and I was starting to think I’d slightly overcooked this one. With just a few emergency bits on me, I navigated off my watch and eventually stumbled across a hut. Inside, to my surprise, was a Canadian lad I’d met a few days before. He lent me a sleeping bag liner, and I wrapped up with my foil blanket like a human baked potato. The kindness of strangers coming through yet again. Not every day goes to plan on these projects, but that’s kind of the point. The best adventures aren’t the ones that run smoothly, they’re the ones that force you to adapt, push through, and trust that the next turn in the trail might just bring exactly what you need. Jumping on some tarmac over the next few days to crush some mileage. Hope you’ve all had a great week out there🫡

Russ Cook

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It happened last Tuesday morning at Paws & Found Animal Rescue in Columbia, South Carolina — an ordinary shift that turned into anything but. Melissa, 28, has volunteered at the shelter every Tuesday and Thursday for two years. Scanning intake dogs for microchips is routine. Most scans come back empty — no match, no name, nothing. She'd stopped expecting otherwise. The dog on the table that morning was a scruffy, medium-sized brown mixed-breed male, found wandering near a highway off-ramp on Route 26 the night before. No collar, no tags, calm but thin — clearly on his own for a while. Melissa ran the scanner across the back of his neck like always. It beeped. She looked at the screen — and froze. A name. An address. A registration date from four years back. A phone number with a 615 area code — Nashville, where she has family. The dog's name: Ranger. Reported lost in October 2021 — two years and four months earlier. Owner listed as Thomas Whitfield. Melissa said she just stared at the screen, then covered her mouth and started crying before she'd even fully processed it. Shelter director Carol Nguyen saw her from across the room. "Melissa? What's wrong?" Melissa just turned the scanner toward her. They called the number together. It rang four times before a tired-sounding man picked up. "Is this Thomas Whitfield?" "...Yes." "Mr. Whitfield, we're calling from Paws & Found Animal Rescue in Columbia. We think we may have your dog, Ranger." Silence. Then: "What?" Carol explained — the off-ramp, the microchip match, all of it. Thomas went quiet, then his voice cracked: "I've been looking for him for two years. I thought he was gone." He drove seven hours from Nashville the next morning. Melissa was there when he walked in. She said Ranger recognized Thomas before Thomas even made it through the door — and the second Thomas knelt down, Ranger was already running to him. "I scan chips every week," Melissa told us. "Most weeks, nothing. You keep doing it anyway, because you have to. And then one Tuesday, the scanner beeps, and everything changes." Two years lost. One beep. One phone call. One seven-hour drive. Sometimes hope for a dog and its family is stored in a chip the size of a grain of rice — just waiting for someone to check.

It happened last Tuesday morning at Paws & Found Animal Rescue in Columbia, South Carolina — an ordinary shift that turned into anything but. Melissa, 28, has volunteered at the shelter every Tuesday and Thursday for two years. Scanning intake dogs for microchips is routine. Most scans come back empty — no match, no name, nothing. She'd stopped expecting otherwise. The dog on the table that morning was a scruffy, medium-sized brown mixed-breed male, found wandering near a highway off-ramp on Route 26 the night before. No collar, no tags, calm but thin — clearly on his own for a while. Melissa ran the scanner across the back of his neck like always. It beeped. She looked at the screen — and froze. A name. An address. A registration date from four years back. A phone number with a 615 area code — Nashville, where she has family. The dog's name: Ranger. Reported lost in October 2021 — two years and four months earlier. Owner listed as Thomas Whitfield. Melissa said she just stared at the screen, then covered her mouth and started crying before she'd even fully processed it. Shelter director Carol Nguyen saw her from across the room. "Melissa? What's wrong?" Melissa just turned the scanner toward her. They called the number together. It rang four times before a tired-sounding man picked up. "Is this Thomas Whitfield?" "...Yes." "Mr. Whitfield, we're calling from Paws & Found Animal Rescue in Columbia. We think we may have your dog, Ranger." Silence. Then: "What?" Carol explained — the off-ramp, the microchip match, all of it. Thomas went quiet, then his voice cracked: "I've been looking for him for two years. I thought he was gone." He drove seven hours from Nashville the next morning. Melissa was there when he walked in. She said Ranger recognized Thomas before Thomas even made it through the door — and the second Thomas knelt down, Ranger was already running to him. "I scan chips every week," Melissa told us. "Most weeks, nothing. You keep doing it anyway, because you have to. And then one Tuesday, the scanner beeps, and everything changes." Two years lost. One beep. One phone call. One seven-hour drive. Sometimes hope for a dog and its family is stored in a chip the size of a grain of rice — just waiting for someone to check.

Gabriele Corno

488,800 görüntüleme • 1 ay önce

I have always loved tales of courage in the face of long odds. Maybe that's why To Kill a Mockingbird has always been one of my favorite stories. In a world dominated by groupthink and mob rule, only one man had the courage to swim against the current. It was a world of suspicion, where rumors quietly whispered gave rise to groundless fears. I see parallels between that world and my own. Lucy sits in jail today as the mob kindles their torches and brandishes their pitchforks expecting a lynching, fueled by rumors fed by gossip and lies. She's a bit like Tom Robinson, the gentle black man falsely accused of having raped a white woman. It did not matter that he could not have done it physically. It fit the biases of a fearful society. Sometimes, even I have misunderstood Lucy. Years ago, we got three ducks. They seemed to bond with Lucy. They would sleep next to her and lay down pressed against her. Sometimes even on top of her. She endured it patiently. One day, we found one dead with what seemed to be bite marks on its back. Lucy was holding it in her mouth. Dolly Spice- Jones 🌱🎵 and I were shocked. We began to see her as a loose cannon; guardian and predator in equal measure. We kept her in the house the next few days. Soon another duck died, leaving only a pile of feathers. We observed the final moments of the third duck. Death came from the skies in the shape of an owl striking at dusk. We saw then that it had never been Lucy. Those were not bite marks. They were the marks of talons. Lucy must have come just too late. She was gently holding it because it had been her friend. She was sad. Sheepdogs are easily confused with wolves by the sheep. In reality, they are the only thing keeping the wolves from the sheep. Shortly after we moved here, a bear visited. We could see its footprints. It stayed out of our fields. Our sheepdogs guarded them diligently. The bear also didn't visit our neighbors' houses, where dogs, cats, and children may have been outside, oblivious to the danger that lurked nearby. Our barking dogs protected the neighborhood. One of the following days, it may have even been the next day, my wife got a text from a neighbor complaining about how the barking had made her hot tub less relaxing the previous night. Sheep don't understand sheepdogs. In To Kill a Mockingbird, Boo Radley was misunderstood. Horrific stories and childhood superstitions portrayed him as a monster. A boogeyman. He was neither. He was a sheepdog. He protected children and saved them from murder. Like Lucy protects her ducks. #SaveLucy, the dog who survived war. A few seconds of Lucy with geese and sheep.

I have always loved tales of courage in the face of long odds. Maybe that's why To Kill a Mockingbird has always been one of my favorite stories. In a world dominated by groupthink and mob rule, only one man had the courage to swim against the current. It was a world of suspicion, where rumors quietly whispered gave rise to groundless fears. I see parallels between that world and my own. Lucy sits in jail today as the mob kindles their torches and brandishes their pitchforks expecting a lynching, fueled by rumors fed by gossip and lies. She's a bit like Tom Robinson, the gentle black man falsely accused of having raped a white woman. It did not matter that he could not have done it physically. It fit the biases of a fearful society. Sometimes, even I have misunderstood Lucy. Years ago, we got three ducks. They seemed to bond with Lucy. They would sleep next to her and lay down pressed against her. Sometimes even on top of her. She endured it patiently. One day, we found one dead with what seemed to be bite marks on its back. Lucy was holding it in her mouth. Dolly Spice- Jones 🌱🎵 and I were shocked. We began to see her as a loose cannon; guardian and predator in equal measure. We kept her in the house the next few days. Soon another duck died, leaving only a pile of feathers. We observed the final moments of the third duck. Death came from the skies in the shape of an owl striking at dusk. We saw then that it had never been Lucy. Those were not bite marks. They were the marks of talons. Lucy must have come just too late. She was gently holding it because it had been her friend. She was sad. Sheepdogs are easily confused with wolves by the sheep. In reality, they are the only thing keeping the wolves from the sheep. Shortly after we moved here, a bear visited. We could see its footprints. It stayed out of our fields. Our sheepdogs guarded them diligently. The bear also didn't visit our neighbors' houses, where dogs, cats, and children may have been outside, oblivious to the danger that lurked nearby. Our barking dogs protected the neighborhood. One of the following days, it may have even been the next day, my wife got a text from a neighbor complaining about how the barking had made her hot tub less relaxing the previous night. Sheep don't understand sheepdogs. In To Kill a Mockingbird, Boo Radley was misunderstood. Horrific stories and childhood superstitions portrayed him as a monster. A boogeyman. He was neither. He was a sheepdog. He protected children and saved them from murder. Like Lucy protects her ducks. #SaveLucy, the dog who survived war. A few seconds of Lucy with geese and sheep.

Brendan M. Jones 🇺🇸

10,947 görüntüleme • 3 ay önce

The last ticket and the dream GPT Image 2 and Seedance on Pollo AI Prompt : Pixar-Inspired 3D Animated World Cup 2026 Story Create a cinematic Pixar-style 3D animated short about a passionate young football fan whose biggest dream is to attend a FIFA World Cup match. A cheerful girl spends years saving coins in a jar labeled "World Cup." Show emotional montages of her adding spare change, counting her savings late at night, watching football highlights on TV, and imagining herself inside a giant stadium. Finally, World Cup match day arrives. She proudly wears her favorite team's jersey, wraps a scarf around her neck, and heads toward a massive World Cup stadium surrounded by thousands of excited fans waving flags and singing chants. Her eyes sparkle as she sees the stadium for the first time. At the ticket booth, disaster strikes. A giant sign reads: SOLD OUT Her smile disappears. She checks her savings again. Too late. No tickets remain. Heartbroken, she sits alone outside the stadium gates while thousands of fans enter. The atmosphere grows louder. Stadium lights illuminate the sky. Chants echo from inside. She watches families and supporters celebrating while she remains outside holding her jar of savings. Kickoff approaches. The stadium roars. Tears begin to form. Just when all hope seems lost, a kind football fan notices her sadness. He walks over and reveals something incredible: An extra World Cup ticket. The girl freezes. She can't believe it. Her eyes widen with excitement. She thanks him and runs toward the entrance as fast as she can. The gates open. She enters the stadium just as the players walk onto the pitch. The crowd erupts. Fireworks explode. Flags wave everywhere. The girl stands completely speechless as she sees the glowing stadium from inside for the very first time. As the match begins, she joins thousands of fans singing, cheering, and celebrating together. The game becomes everything she imagined and more. Every goal, every chant, every moment feels magical. Final cinematic shot: the girl standing among thousands of fans under dazzling stadium lights, holding her ticket close to her heart while fireworks burst above the arena. On-screen Text: "Sometimes one act of kindness can make a dream come true." Final Frame Text: THE LAST TICKET "Some dreams are worth waiting for." Pixar-quality 3D animation, emotional storytelling, expressive facial animation, cinematic camera movement, massive World Cup stadium atmosphere, vibrant crowd energy, golden-hour arrival, night stadium lighting, confetti, fireworks, emotional music, ultra-detailed rendering, movie-quality visuals, smooth scene transitions, 16:9 widescreen.

The last ticket and the dream GPT Image 2 and Seedance on Pollo AI Prompt : Pixar-Inspired 3D Animated World Cup 2026 Story Create a cinematic Pixar-style 3D animated short about a passionate young football fan whose biggest dream is to attend a FIFA World Cup match. A cheerful girl spends years saving coins in a jar labeled "World Cup." Show emotional montages of her adding spare change, counting her savings late at night, watching football highlights on TV, and imagining herself inside a giant stadium. Finally, World Cup match day arrives. She proudly wears her favorite team's jersey, wraps a scarf around her neck, and heads toward a massive World Cup stadium surrounded by thousands of excited fans waving flags and singing chants. Her eyes sparkle as she sees the stadium for the first time. At the ticket booth, disaster strikes. A giant sign reads: SOLD OUT Her smile disappears. She checks her savings again. Too late. No tickets remain. Heartbroken, she sits alone outside the stadium gates while thousands of fans enter. The atmosphere grows louder. Stadium lights illuminate the sky. Chants echo from inside. She watches families and supporters celebrating while she remains outside holding her jar of savings. Kickoff approaches. The stadium roars. Tears begin to form. Just when all hope seems lost, a kind football fan notices her sadness. He walks over and reveals something incredible: An extra World Cup ticket. The girl freezes. She can't believe it. Her eyes widen with excitement. She thanks him and runs toward the entrance as fast as she can. The gates open. She enters the stadium just as the players walk onto the pitch. The crowd erupts. Fireworks explode. Flags wave everywhere. The girl stands completely speechless as she sees the glowing stadium from inside for the very first time. As the match begins, she joins thousands of fans singing, cheering, and celebrating together. The game becomes everything she imagined and more. Every goal, every chant, every moment feels magical. Final cinematic shot: the girl standing among thousands of fans under dazzling stadium lights, holding her ticket close to her heart while fireworks burst above the arena. On-screen Text: "Sometimes one act of kindness can make a dream come true." Final Frame Text: THE LAST TICKET "Some dreams are worth waiting for." Pixar-quality 3D animation, emotional storytelling, expressive facial animation, cinematic camera movement, massive World Cup stadium atmosphere, vibrant crowd energy, golden-hour arrival, night stadium lighting, confetti, fireworks, emotional music, ultra-detailed rendering, movie-quality visuals, smooth scene transitions, 16:9 widescreen.

Synthia

12,081 görüntüleme • 2 ay önce

Two shareholders asked me why is $CNL drilling the San Antonio project (2 rigs) when we have a major discovery in Apollo (Guayabales project)? Answer: How can we ignore a potentially giant system located next to the Pan American highway and hydroelectric power lines only a few km’s away from Guayabales? San Antonio is without question a big & intensely altered system with porphyry style mineralization traced for more than 3km with the following attributes: 1. Multiple styles of porphyry related mineralization encountered through drilling incl. copper and gold porphyry mineralization, late stage CBM veins and sulfosalts. 2. Hole SAC-11 discovered a porphyry system by intersecting 290.2m @ 0.58 g/t Au, 3 g/t Ag and 0.17% Cu. We are hunting for the source of this mineralization 3. We continue to cut potential mineralization in subsequent follow up holes. See the video below of drill core tray from a recent hole cutting intense altered rocks enriched in sulphides. Caution** wait for assay results, which are expected in August. The prize at San Antonio is potentially very large, a nice complement to our Apollo system. If we find a deposit at San Antonio, could it feed the same mill as Apollo?

Two shareholders asked me why is $CNL drilling the San Antonio project (2 rigs) when we have a major discovery in Apollo (Guayabales project)? Answer: How can we ignore a potentially giant system located next to the Pan American highway and hydroelectric power lines only a few km’s away from Guayabales? San Antonio is without question a big & intensely altered system with porphyry style mineralization traced for more than 3km with the following attributes: 1. Multiple styles of porphyry related mineralization encountered through drilling incl. copper and gold porphyry mineralization, late stage CBM veins and sulfosalts. 2. Hole SAC-11 discovered a porphyry system by intersecting 290.2m @ 0.58 g/t Au, 3 g/t Ag and 0.17% Cu. We are hunting for the source of this mineralization 3. We continue to cut potential mineralization in subsequent follow up holes. See the video below of drill core tray from a recent hole cutting intense altered rocks enriched in sulphides. Caution** wait for assay results, which are expected in August. The prize at San Antonio is potentially very large, a nice complement to our Apollo system. If we find a deposit at San Antonio, could it feed the same mill as Apollo?

Ari Sussman

25,554 görüntüleme • 1 yıl önce

Gavin Newsom’s Ex Details the Affair That Nearly Ended Him Ruby Rippey has finally broken her long silence in a raw Vanity Fair essay, laying out the full story of her months-long affair with then-San Francisco Mayor Gavin Newsom while she was married to his close friend and top aide. She describes the power imbalance, the late-night encounters, and the personal freefall that followed. “It isn’t love. It isn’t romance. It’s intoxication,” she writes. “The text message is a hit. The glance across the hallway, a hit. The risk floods my bloodstream. I walk down the corridors of City Hall—my nude stilettos striking the marble floor. He looks at me, his gaze deliberate, newly curious. It feels like oxygen.” Rippey recounts the night it began at a wedding: “My boss and I end up in the narrow hallway outside the bathroom at the same time. We wait, across from each other. The space is tight. The silence stretches. He slips his hands into his tan trouser pockets and smiles—his usual shy, aw-shucks smile. I say nothing. I hold his gaze longer than I should. The air changes.” She woke the next morning “cold, almost shivering” and “soaked from the waist down” after blacking out. Days later, Newsom returned a gold bracelet her grandmother had given her that she left behind in the hotel room. The encounters continued. One night after she spilled wine on his carpet, Newsom looked up while scrubbing the stain and said, “You know, we really can’t do this anymore. You can’t be doing this to Alex.” They kept going anyway. He knew it was wrong. He said it out loud. And he still went along with it. In Los Angeles she blacked out again and woke to find “tiny shirt buttons scattered like coins” on the floor—buttons she had torn from his shirt. Newsom later texted: “Thank God the W had T-shirts.” Rippey spiraled into heavier drinking and cocaine use until an emergency-room visit forced her into rehab. Her sister called Newsom and told him to stay away: “She is unwell. She is getting help. Even if she reaches out to you, it is your responsibility to say no.” His reply, she writes, was some version of “God bless, God bless.” She eventually confessed to her husband in a short email: “Just sex—on and off for months—with the mayor. It ended before rehab. I’m sorry.” Rippey makes clear she was not coerced: “I was not coerced. I knew what I was doing.” She also pushes back hard on Newsom’s later claim in his memoir that he “came clean” to her husband. The truth is the opposite. She was the one who told Alex. Newsom’s version, she writes, “gives him credit for something I had already done.” (Video: AI) Newsom didn’t force the affair. But he recognized how wrong it was, said so himself, and chose to continue. That pattern of knowing better and doing it anyway has followed him ever since. Twenty years later, as Newsom eyes higher office, the woman at the center of the scandal that nearly ended him is finally telling the story in her own words. It is not the version he has tried to sell.

Gavin Newsom’s Ex Details the Affair That Nearly Ended Him Ruby Rippey has finally broken her long silence in a raw Vanity Fair essay, laying out the full story of her months-long affair with then-San Francisco Mayor Gavin Newsom while she was married to his close friend and top aide. She describes the power imbalance, the late-night encounters, and the personal freefall that followed. “It isn’t love. It isn’t romance. It’s intoxication,” she writes. “The text message is a hit. The glance across the hallway, a hit. The risk floods my bloodstream. I walk down the corridors of City Hall—my nude stilettos striking the marble floor. He looks at me, his gaze deliberate, newly curious. It feels like oxygen.” Rippey recounts the night it began at a wedding: “My boss and I end up in the narrow hallway outside the bathroom at the same time. We wait, across from each other. The space is tight. The silence stretches. He slips his hands into his tan trouser pockets and smiles—his usual shy, aw-shucks smile. I say nothing. I hold his gaze longer than I should. The air changes.” She woke the next morning “cold, almost shivering” and “soaked from the waist down” after blacking out. Days later, Newsom returned a gold bracelet her grandmother had given her that she left behind in the hotel room. The encounters continued. One night after she spilled wine on his carpet, Newsom looked up while scrubbing the stain and said, “You know, we really can’t do this anymore. You can’t be doing this to Alex.” They kept going anyway. He knew it was wrong. He said it out loud. And he still went along with it. In Los Angeles she blacked out again and woke to find “tiny shirt buttons scattered like coins” on the floor—buttons she had torn from his shirt. Newsom later texted: “Thank God the W had T-shirts.” Rippey spiraled into heavier drinking and cocaine use until an emergency-room visit forced her into rehab. Her sister called Newsom and told him to stay away: “She is unwell. She is getting help. Even if she reaches out to you, it is your responsibility to say no.” His reply, she writes, was some version of “God bless, God bless.” She eventually confessed to her husband in a short email: “Just sex—on and off for months—with the mayor. It ended before rehab. I’m sorry.” Rippey makes clear she was not coerced: “I was not coerced. I knew what I was doing.” She also pushes back hard on Newsom’s later claim in his memoir that he “came clean” to her husband. The truth is the opposite. She was the one who told Alex. Newsom’s version, she writes, “gives him credit for something I had already done.” (Video: AI) Newsom didn’t force the affair. But he recognized how wrong it was, said so himself, and chose to continue. That pattern of knowing better and doing it anyway has followed him ever since. Twenty years later, as Newsom eyes higher office, the woman at the center of the scandal that nearly ended him is finally telling the story in her own words. It is not the version he has tried to sell.

Paul A. Szypula 🇺🇸

78,402 görüntüleme • 25 gün önce

A girl stumbled onto one of the quietest money moves on YouTube right now. $15,000 last month. 10 minutes of actual work per video. She opens YouTube, studies what kids are rewatching obsessively. Not to copy it. To understand what makes them stop and stare. That insight goes straight into Claude. Out comes a complete creative brief the character personality, the color palette, the scene, the vibe. Detailed enough to build from. Fast enough to feel like cheating. She takes that brief into Picsart. Builds the visual foundation. Gets the look exactly right. Then one prompt into Sora 2 and the video renders itself. Fluid animation. Saturated colors. Characters that move in that specific way that makes toddlers completely lose their minds. No microphone. No ring light. No editing software open at 2am. Just three apps, a creative eye, and 10 minutes she carved out between coffee and whatever else she had going on that day. The videos land on YouTube and disappear into the algorithm in the best possible way. Kids find them. Watch them again. And again. Screen time reports go crazy. YouTube keeps serving them to new households. One video pulls 2 million views. The next one pulls 3. At the end of the month the number on the screen says $15,000. She didn't build an audience. She built a system. There's a difference. And right now that difference is worth $15,000 a month.

A girl stumbled onto one of the quietest money moves on YouTube right now. $15,000 last month. 10 minutes of actual work per video. She opens YouTube, studies what kids are rewatching obsessively. Not to copy it. To understand what makes them stop and stare. That insight goes straight into Claude. Out comes a complete creative brief the character personality, the color palette, the scene, the vibe. Detailed enough to build from. Fast enough to feel like cheating. She takes that brief into Picsart. Builds the visual foundation. Gets the look exactly right. Then one prompt into Sora 2 and the video renders itself. Fluid animation. Saturated colors. Characters that move in that specific way that makes toddlers completely lose their minds. No microphone. No ring light. No editing software open at 2am. Just three apps, a creative eye, and 10 minutes she carved out between coffee and whatever else she had going on that day. The videos land on YouTube and disappear into the algorithm in the best possible way. Kids find them. Watch them again. And again. Screen time reports go crazy. YouTube keeps serving them to new households. One video pulls 2 million views. The next one pulls 3. At the end of the month the number on the screen says $15,000. She didn't build an audience. She built a system. There's a difference. And right now that difference is worth $15,000 a month.

Shelpid.WI3M

36,765 görüntüleme • 3 ay önce

NEW UPDATE ON THE MURDER OF JOANA, THE FINAL-YEAR KNUST STUDENT: Details exclusive to ASK suggest that Joana and her boyfriend, Daniel, had been dating since their first year (level 100) and that he had a history of physically abusing her. Their friends were aware of the abuse, but Joana consistently denied it. Both sets of parents were allegedly aware of the relationship. Two weeks prior, Joana's father allegedly visited the school, saw Joana and Daniel together, and warned Daniel to stay away from his daughter. On Monday, Daniel allegedly stole Joana's phone for ulterior motives, prompting her to report the incident to the KNUST Police Station. The following day, Joana and Daniel went to their department to study, but the tension between them was palpable. As they left the department, two friends escorted them to the Disability and Rehab Centre of the university. After the friends left, Daniel allegedly attacked Joana, pushing her from behind, hitting her on the ground, stamping on her, and using his knee to choke her until she became unresponsive. He then dragged her into nearby bushes, took her phone and laptop to make it appear like a robbery, and fled the scene. When friends and coursemates called Daniel's phone the next morning to inquire about Joana's whereabouts, his phone was off. When reached later, Daniel claimed he was unaware of Joana's location and suggested asking the friends who had escorted them. Joana's body was later discovered near the Disability and Rehabilitation Centre, where Daniel allegedly dragged her. CCTV footage allegedly captured the events surrounding the murder, leading to Daniel's arrest. According to reports, Daniel has confessed to the murder of Joana, asserting that her death was an unintentional consequence of a domestic dispute. Subsequent to his confession, Daniel was arraigned before the Circuit Court in Asafo today. Joana's phone and laptop, taken by him, were also found hidden behind Flint Hostel, a location identified through CCTV footage from the hostel’s CCTV system. - Visit the attached link to watch some moments shared by the late Joana and her boyfriend, Daniel, the prime suspect in her murder:

NEW UPDATE ON THE MURDER OF JOANA, THE FINAL-YEAR KNUST STUDENT: Details exclusive to ASK suggest that Joana and her boyfriend, Daniel, had been dating since their first year (level 100) and that he had a history of physically abusing her. Their friends were aware of the abuse, but Joana consistently denied it. Both sets of parents were allegedly aware of the relationship. Two weeks prior, Joana's father allegedly visited the school, saw Joana and Daniel together, and warned Daniel to stay away from his daughter. On Monday, Daniel allegedly stole Joana's phone for ulterior motives, prompting her to report the incident to the KNUST Police Station. The following day, Joana and Daniel went to their department to study, but the tension between them was palpable. As they left the department, two friends escorted them to the Disability and Rehab Centre of the university. After the friends left, Daniel allegedly attacked Joana, pushing her from behind, hitting her on the ground, stamping on her, and using his knee to choke her until she became unresponsive. He then dragged her into nearby bushes, took her phone and laptop to make it appear like a robbery, and fled the scene. When friends and coursemates called Daniel's phone the next morning to inquire about Joana's whereabouts, his phone was off. When reached later, Daniel claimed he was unaware of Joana's location and suggested asking the friends who had escorted them. Joana's body was later discovered near the Disability and Rehabilitation Centre, where Daniel allegedly dragged her. CCTV footage allegedly captured the events surrounding the murder, leading to Daniel's arrest. According to reports, Daniel has confessed to the murder of Joana, asserting that her death was an unintentional consequence of a domestic dispute. Subsequent to his confession, Daniel was arraigned before the Circuit Court in Asafo today. Joana's phone and laptop, taken by him, were also found hidden behind Flint Hostel, a location identified through CCTV footage from the hostel’s CCTV system. - Visit the attached link to watch some moments shared by the late Joana and her boyfriend, Daniel, the prime suspect in her murder:

𝐀𝐒𝐊

578,107 görüntüleme • 1 yıl önce

$Multiple Casualties Reported in Marsabit Attack An attack took place along the Eledimtu-Forole Road in Marsabit County just a few kilometres from the Ethiopian border late last night. A lorry carrying nine passengers was ambushed by an armed group, leading to the tragic deaths of seven people who included two minors from a local secondary school. The attackers shot at the vehicle indiscriminately, before setting it ablaze and burning some of the bodies beyond recognition. The sixth victim reportedly succumbed to bullet wounds in a nearby thicket. Among the passengers, one boy was found this morning with a fractured limb, while another person sustained burn wounds but managed to reach Forole for help. The only other survivor, a girl in Form One, miraculously escaped unhurt and fled into the night. The tragic incident was reported to Forolle Police Station by a 16-year-old survivor Talaso Wato. According to locals, the suspects behind this heinous act could be remnants of the Oromo Liberation Front (OLF), hostile Borana neighbours or even Ethiopian police officers — a possibility linked to tensions over the OLF militants believed to be harboured in Kenya. The attack occurred at around 9:00 PM. The lorry, a Mitsubishi with registration number KBV 474Y was driven by Ibrahim Jalla who like six other passengers, remains unaccounted for in the aftermath of the brutal assault. MARSABIT COUNTY MARSABIT NORTH SUB COUNTY FOROLLE POLICE STATION SUBJECT: BANDITRY ATTACK INCIDENT REPORT REF OB NO. 02/13/08/2024 AT 0030HRS. IT WAS REPORTED BY ONE TALASO WATO CMM A GABRA MINOR AGED 16YRS FROM DUKANA THAT TONIGHT AT AROUND 2100HRS WHILE ON BOARD MITSUBISHI LORRY REGISTRATION NUMBER KBV 474Y DRIVEN BY ONE IBRAHIM JALLA THAT THE SAID VEHICLE WAS ATTACKED BY ARMED UNKNOWN NUMBER OF GROUP IN JUNGLE ATTIRE AT ELEDIMTU AREA ALONG FOROLLE-TURBI ROAD,ABOUT 25KM EAST OF THE STATION BY SHOOTING THE LORRY INDISCRIMINATELY. THE MINOR MANAGED TO ESCAPE AND RUN AWAY TOWARDS FOROLLE.SHE FURTHER REPORTED THAT THE SAID LORRY WAS TORCHED BY THE SAID GROUP. SIX OTHER PASSENGERS AND THE DRIVER REMAIN UNACCOUNTED FOR.MORE REPORT TO FOLLOW AFTER THE SCENE IS VISITED(.)$

Multiple Casualties Reported in Marsabit Attack An attack took place along the Eledimtu-Forole Road in Marsabit County just a few kilometres from the Ethiopian border late last night. A lorry carrying nine passengers was ambushed by an armed group, leading to the tragic deaths of seven people who included two minors from a local secondary school. The attackers shot at the vehicle indiscriminately, before setting it ablaze and burning some of the bodies beyond recognition. The sixth victim reportedly succumbed to bullet wounds in a nearby thicket. Among the passengers, one boy was found this morning with a fractured limb, while another person sustained burn wounds but managed to reach Forole for help. The only other survivor, a girl in Form One, miraculously escaped unhurt and fled into the night. The tragic incident was reported to Forolle Police Station by a 16-year-old survivor Talaso Wato. According to locals, the suspects behind this heinous act could be remnants of the Oromo Liberation Front (OLF), hostile Borana neighbours or even Ethiopian police officers — a possibility linked to tensions over the OLF militants believed to be harboured in Kenya. The attack occurred at around 9:00 PM. The lorry, a Mitsubishi with registration number KBV 474Y was driven by Ibrahim Jalla who like six other passengers, remains unaccounted for in the aftermath of the brutal assault. MARSABIT COUNTY MARSABIT NORTH SUB COUNTY FOROLLE POLICE STATION SUBJECT: BANDITRY ATTACK INCIDENT REPORT REF OB NO. 02/13/08/2024 AT 0030HRS. IT WAS REPORTED BY ONE TALASO WATO CMM A GABRA MINOR AGED 16YRS FROM DUKANA THAT TONIGHT AT AROUND 2100HRS WHILE ON BOARD MITSUBISHI LORRY REGISTRATION NUMBER KBV 474Y DRIVEN BY ONE IBRAHIM JALLA THAT THE SAID VEHICLE WAS ATTACKED BY ARMED UNKNOWN NUMBER OF GROUP IN JUNGLE ATTIRE AT ELEDIMTU AREA ALONG FOROLLE-TURBI ROAD,ABOUT 25KM EAST OF THE STATION BY SHOOTING THE LORRY INDISCRIMINATELY. THE MINOR MANAGED TO ESCAPE AND RUN AWAY TOWARDS FOROLLE.SHE FURTHER REPORTED THAT THE SAID LORRY WAS TORCHED BY THE SAID GROUP. SIX OTHER PASSENGERS AND THE DRIVER REMAIN UNACCOUNTED FOR.MORE REPORT TO FOLLOW AFTER THE SCENE IS VISITED(.)

Cyprian, Is Nyakundi

92,860 görüntüleme • 2 yıl önce

This is my "feel the AGI" moment: I used GPT-5.6 Sol to train my own autocorrect model that outperforms GPT-5.6 Sol (wtf??) I have no ML background. I have no idea what I'm doing. I just kept pushing Sol until it spat out a SOTA model. And I spent $0. The motivation: Years of talking to AI have made me terrible at typing. Rather than fix my skill issue, I decided to throw more AI at it. My idea was: instead of autocorrect that interrupts my flow, I want to type fast with mistakes and have AI clean it up after. I wanted the smallest local model possible, for speed, for battery life, for science! So I decided to train my own. Inspired by Andrej Karpathy’s autoresearch, I ran Codex /goal with this setup: pick an experiment, try it, record the results to a doc, throw it out if it fails, and plan the next experiment without repeating failures. I gave a few examples that had to pass, tight latency targets, and let it run. Sol did some amazing things. First, it scanned benchmarks and shortlisted base models: Qwen 3.5, Gemma 4, Liquid LFM 2.5. It found a dataset on HuggingFace for typed text. Then it built a simulator for fingers striking a Mac keyboard, modeling the physical layout with a Gaussian distribution around each key. It simulated striking the wrong key, wrong order, fat-fingering, etc. With the models + data + simulator, it fine-tuned using MLX right on my MacBook. It had a working prototype within an hour! But accuracy was pretty poor. — Problem 1: Tokenization Sol read papers, ran tests, and identified that the tokenizer was the bottleneck. Tokenization makes typos hard for the model to see, so it memorizes mappings instead of using its language priors. Sol tried ByT5, Google’s tokenizer-free byte-level LLM. This made a big improvement, but the model is old and lacked the knowledge needed to reach Sol performance. Sol dug deeper and realized a tokenizer-free model isn’t needed; instead, it used T5Gemma, an encoder-decoder model. This can understand the input deeply before producing output, and furthermore, Sol could post-train the encoder to improve performance. This gave a much higher ceiling. — Problem 2: Loss function Now the model was correcting some typos perfectly, but ignoring most. Sol realized that standard cross-entropy loss was teaching the model to avoid edits, because the vast majority of characters in the training data were left unmodified. The fix was wild: Sol wrote a custom loss function that byte-aligns the source and target strings, uses a dynamic programming algorithm to compute the minimum edits between the two, then weights correct edits much higher than copies. After a lot of tuning, this dramatically improved accuracy. — Problem 3: Autoregression One failure mode remained: if the model made a mistake, it couldn’t backtrack. It could only predict the next token. Teaching it to “think” like a reasoning model would solve this, but would be far too slow. Sol found a beautiful solution: instead of greedily predicting the next token, beam search over all possibilities. This parallelizes the exploration instead of one linear chain-of-thought. At the end, choose the path with highest cumulative log probability. This worked great, but made the experience worse, since the user wouldn’t see progress until the whole search was done. To fix this, Sol made a clever observation: after each search step, the longest common prefix among surviving branches is guaranteed to appear in the final result, so it can be displayed immediately. As the search progresses, weaker paths are dropped and the prefix grows, so the user sees continuous progress. Sol built all this as a custom MLX pipeline that does the parallel decoding on the MacBook GPU, with just ~40ms TTFT. It’s crazy fast and entirely local. — Final eval (error reduction rate, higher is better): - Apple autocorrect: 49.66% - GPT-5.6 Luna: 82.47% - GPT-5.6 Terra: 87.64% - GPT-5.6 Sol: 90.56% - Our model (1.7B): 91.02% Final cost: - 1 quota reset (thanks Tibo) - $0 (And yes, I verified there's no cheating. In fact, we test words scrubbed from the training data to prove the model isn’t memorizing) There were a ton more details and tangents I could write about: contrastive learning, GRPO, DPO, dynamic masking, and more. Sol is a fascinating and creative model. It blew my mind so many times. Don’t let a lack of experience stop you: Sol makes AI experiments accessible to anyone!

This is my "feel the AGI" moment: I used GPT-5.6 Sol to train my own autocorrect model that outperforms GPT-5.6 Sol (wtf??) I have no ML background. I have no idea what I'm doing. I just kept pushing Sol until it spat out a SOTA model. And I spent $0. The motivation: Years of talking to AI have made me terrible at typing. Rather than fix my skill issue, I decided to throw more AI at it. My idea was: instead of autocorrect that interrupts my flow, I want to type fast with mistakes and have AI clean it up after. I wanted the smallest local model possible, for speed, for battery life, for science! So I decided to train my own. Inspired by Andrej Karpathy’s autoresearch, I ran Codex /goal with this setup: pick an experiment, try it, record the results to a doc, throw it out if it fails, and plan the next experiment without repeating failures. I gave a few examples that had to pass, tight latency targets, and let it run. Sol did some amazing things. First, it scanned benchmarks and shortlisted base models: Qwen 3.5, Gemma 4, Liquid LFM 2.5. It found a dataset on HuggingFace for typed text. Then it built a simulator for fingers striking a Mac keyboard, modeling the physical layout with a Gaussian distribution around each key. It simulated striking the wrong key, wrong order, fat-fingering, etc. With the models + data + simulator, it fine-tuned using MLX right on my MacBook. It had a working prototype within an hour! But accuracy was pretty poor. — Problem 1: Tokenization Sol read papers, ran tests, and identified that the tokenizer was the bottleneck. Tokenization makes typos hard for the model to see, so it memorizes mappings instead of using its language priors. Sol tried ByT5, Google’s tokenizer-free byte-level LLM. This made a big improvement, but the model is old and lacked the knowledge needed to reach Sol performance. Sol dug deeper and realized a tokenizer-free model isn’t needed; instead, it used T5Gemma, an encoder-decoder model. This can understand the input deeply before producing output, and furthermore, Sol could post-train the encoder to improve performance. This gave a much higher ceiling. — Problem 2: Loss function Now the model was correcting some typos perfectly, but ignoring most. Sol realized that standard cross-entropy loss was teaching the model to avoid edits, because the vast majority of characters in the training data were left unmodified. The fix was wild: Sol wrote a custom loss function that byte-aligns the source and target strings, uses a dynamic programming algorithm to compute the minimum edits between the two, then weights correct edits much higher than copies. After a lot of tuning, this dramatically improved accuracy. — Problem 3: Autoregression One failure mode remained: if the model made a mistake, it couldn’t backtrack. It could only predict the next token. Teaching it to “think” like a reasoning model would solve this, but would be far too slow. Sol found a beautiful solution: instead of greedily predicting the next token, beam search over all possibilities. This parallelizes the exploration instead of one linear chain-of-thought. At the end, choose the path with highest cumulative log probability. This worked great, but made the experience worse, since the user wouldn’t see progress until the whole search was done. To fix this, Sol made a clever observation: after each search step, the longest common prefix among surviving branches is guaranteed to appear in the final result, so it can be displayed immediately. As the search progresses, weaker paths are dropped and the prefix grows, so the user sees continuous progress. Sol built all this as a custom MLX pipeline that does the parallel decoding on the MacBook GPU, with just ~40ms TTFT. It’s crazy fast and entirely local. — Final eval (error reduction rate, higher is better): - Apple autocorrect: 49.66% - GPT-5.6 Luna: 82.47% - GPT-5.6 Terra: 87.64% - GPT-5.6 Sol: 90.56% - Our model (1.7B): 91.02% Final cost: - 1 quota reset (thanks Tibo) - $0 (And yes, I verified there's no cheating. In fact, we test words scrubbed from the training data to prove the model isn’t memorizing) There were a ton more details and tangents I could write about: contrastive learning, GRPO, DPO, dynamic masking, and more. Sol is a fascinating and creative model. It blew my mind so many times. Don’t let a lack of experience stop you: Sol makes AI experiments accessible to anyone!

Anshu

179,046 görüntüleme • 1 ay önce

PUBLIC CAUTION 🚨 "This is to alert the public about a girl who identifies herself as Audril Perkins, or Akos (suspected false name), who advertises online as a househelp/domestic worker. She was employed on Saturday, 17/01/2025, mainly to help care for and feed our two children, as my wife has been away for sometime. She came with a very small handbag with only few clothes in it, which was unusual for a live-in help. She also had very long hair, long nails, lashes, and inappropriate attire. I immediately made it clear that she would need to dress appropriately and remove the hair, nails, and lashes, which she obliged and did by the next morning. This made me lower my guard as I thought she was a good person who just needed some guidance, since she appears very young. She said she’s 19, completed SHS and from Kumasi, but in Accra to seek for a job. She’s squatting with a friend in east legon while on a job hunt. I requested that she comes along with a family/guarantor, and she said her Mom will accompany her but later claimed when she arrived that her mom was attending a funeral and would visit the coming weekend with her belongings. She provided a phone number for her mother (0596143081), but I called 3 days continuously but there was no answer. I asked her about it and she mentioned that her mom is forgetful sometimes and might have misplaced her phone but she would give me her sister’s contact instead, unfortunately I forget to follow up instantly. While she was here, she slept in the kids’ room alone, where my wife’s locked wardrobe, boxes, and a large luggage bag were kept. There is CCTV coverage throughout the house except inside that room. By Tuesday, 20/01/2026, I noticed suspicious behavior: She spent excessive time locked inside the room. She never “slept” with the lights off and She had to unlock the door from inside each time I called (I assumed perhaps she’s had some bad experience in the past which has prompted that, so I didn’t think much of it ) On Wednesday morning, 21/01/2026 I went to the kids room just to check around and I discovered my wife’s old clothes carefully hidden under and around the bed. When questioned, she gave an unconvincing explanation but the kids were getting late for school so I asked her to return the clothes to the bag she picked them and said we would discuss it after I return from dropping the kids at school. At this point she had only lived with me for only 4 days. By the time I returned, I found that she had broken into part of the wardrobe and fled, carrying my wife’s large luggage bag filled with, Clothes, Handbags, Perfumes, Cash, Jewelry, etc. The incident has been reported to the police, and shes captured on CCTV carrying the bag out, all relevant evidence have been submitted. She is advised to report herself and return all stolen items, as the matter is now with the Ghana Police Service. Anyone with relevant information about her whereabouts or identity is kindly urged to assist. Please share widely to help prevent others from falling victim."

PUBLIC CAUTION 🚨 "This is to alert the public about a girl who identifies herself as Audril Perkins, or Akos (suspected false name), who advertises online as a househelp/domestic worker. She was employed on Saturday, 17/01/2025, mainly to help care for and feed our two children, as my wife has been away for sometime. She came with a very small handbag with only few clothes in it, which was unusual for a live-in help. She also had very long hair, long nails, lashes, and inappropriate attire. I immediately made it clear that she would need to dress appropriately and remove the hair, nails, and lashes, which she obliged and did by the next morning. This made me lower my guard as I thought she was a good person who just needed some guidance, since she appears very young. She said she’s 19, completed SHS and from Kumasi, but in Accra to seek for a job. She’s squatting with a friend in east legon while on a job hunt. I requested that she comes along with a family/guarantor, and she said her Mom will accompany her but later claimed when she arrived that her mom was attending a funeral and would visit the coming weekend with her belongings. She provided a phone number for her mother (0596143081), but I called 3 days continuously but there was no answer. I asked her about it and she mentioned that her mom is forgetful sometimes and might have misplaced her phone but she would give me her sister’s contact instead, unfortunately I forget to follow up instantly. While she was here, she slept in the kids’ room alone, where my wife’s locked wardrobe, boxes, and a large luggage bag were kept. There is CCTV coverage throughout the house except inside that room. By Tuesday, 20/01/2026, I noticed suspicious behavior: She spent excessive time locked inside the room. She never “slept” with the lights off and She had to unlock the door from inside each time I called (I assumed perhaps she’s had some bad experience in the past which has prompted that, so I didn’t think much of it ) On Wednesday morning, 21/01/2026 I went to the kids room just to check around and I discovered my wife’s old clothes carefully hidden under and around the bed. When questioned, she gave an unconvincing explanation but the kids were getting late for school so I asked her to return the clothes to the bag she picked them and said we would discuss it after I return from dropping the kids at school. At this point she had only lived with me for only 4 days. By the time I returned, I found that she had broken into part of the wardrobe and fled, carrying my wife’s large luggage bag filled with, Clothes, Handbags, Perfumes, Cash, Jewelry, etc. The incident has been reported to the police, and shes captured on CCTV carrying the bag out, all relevant evidence have been submitted. She is advised to report herself and return all stolen items, as the matter is now with the Ghana Police Service. Anyone with relevant information about her whereabouts or identity is kindly urged to assist. Please share widely to help prevent others from falling victim."

Hubert Tieku Esq

316,250 görüntüleme • 7 ay önce

I would like to explain the latest batch of viral videos I'm working on to the bemused brainrot-curious reader who is not familiar with "the culture". Why are these characters, mixed with this song, going viral? It's all about connecting infinite referential mirrors. What makes this video interesting are not its individual parts but the signifier links it draws. Let's look at the individual parts: ONE: The song is a Brazilian funk or "pancadão" song called MC Lan e MC WM - Sua Amiga Vou Pegar, these days part of what's broadly referred as Brazilian phonk or just phonk (not to be confused with the original phonk, a Memphis-derived genre from the early 2010s built around chopped Three 6 Mafia samples, cowbells and lo-fi tape hiss and etc. The Brazilian version comes an entirely different lineage and got its name adapted from “funk” to “phonk” exclusively because the names sounded similar. It has a similarly menacing posture but swaps the rap cadence for funk's 4/4 with kicks on 1 and 3 rhythm and a much heavier, distorted 808 synth sound). Phonk is often used for its exaggerated reverb feeling bass lines to signify power, style or simply "aura", which you can take as a shorthand for poise, coolness, being de-bon-air and a general detached positive feeling of high status. Aura. Because most users cannot understand the Portuguese lyrics (which are often quite vulgar and sexual), the singing takes the characteristic of a chant, something to be appreciated entirely for its sound, texture and gravitas. The vocals are just another instrument where you can appreciate the menace and swagger of the delivery directly without the cognitive friction of meaning. Non-Portuguese-speaking audiences are not missing anything they were supposed to get, they get “the vibe” that matters, which is not lyrical. These songs are often paired with (male) characters that are taken to display these traits like American Psycho's Patrick Bateman (yes, yes I know that’s the opposite of what you should feel about the character), Peaky Blinder's Thomas Shelby and a menagerie of anime characters like Satoru Gojo (Jujutsu Kaisen), Yujiro Hanma (Baki) and Goku and, really, any male character that is just a little bit cool. TWO: The man in the suit is a minor Family Guy character called Tom Tucker. The reference comes from a scene where Meg sees him walking through her school and says "It's Tom Tucker from the news!” We then cut to her POV, where he is walking in slow motion with soft romantic music swelling and birds chirping, the whole love-at-first-sight trope. Then a camera crew member off-screen yells "hurry up Mr. Tucker," and we get to see he is not walking in slow motion because Meg is infatuated, he is just walking that slowly in real life. Only the music and the birds were in her head. The gag is built on the viewer recognizing the romantic-slow-motion trope, briefly accepting it as the scene's reality, and then being shown that we (and Meg) projected the trope onto what is actually just a man walking very slowly. HA! The original gag is already about projection: a neutral image (slow walk) being assigned an external meaning (romance) by a viewer's pattern-recognition. This is what makes the edit-culture appropriation work so well. The clip got stripped of its context, paired with phonk and text overlays (AURA or “Me and the boys going to detention”), and retroactively assigned a new meaning, only this time it’s the cinematic nonchalant walk, the slow deliberate gait that signifies a man who knows he's the most important thing in the frame (ta la any 1980s Schwazerneggerian action movie hero walking away from an explosion without looking back, every yakuza boss entering a room, every western gunslinger approaching the duel). The edit is ostensibly projecting a trope onto a neutral image. The first projection was romance; the second projection is aura. Family Guy clips and gifs are easy to access and repost, which makes it a readily available and easy to use building block. The show has, through sheer volume of output and over two decades of YouTube and cable TV saturation, become a kind of public-domain visual library, a default vocabulary that any editor can pull from knowing the audience will recognize the source without having to be told, and we can just keep loading meaning onto it. THREE: The character in the background is Tom, from Tom and Jerry, doing a pose made famous by an iShowSpeed fan who encountered him during a livestream. By quickly and correctly identifying Speed by his full legal name ("Darren Jason Watkins Jr"), she showcased herself to be a true fan, which he responded to with his characteristic exaggerated reactions. The pose the girl hit, with the knowing look to the camera, produced a perfect “aura moment” complete commitment, zero irony, the unshakeable conviction that what she was doing was the coolest possible thing to do. As a result, the clip then got endlessly edited with "aura 🥶🥶🥶" captions to canonize it. Aura, in this lexicon, is not granted by the universe; it is summoned by the person's own belief that they have it and by displaying the correct attitude. Tom is also dressed as the previously mentioned Thomas Shelby from Peaky Blinders, which is itself a double signifier. The name match (“Thomas”, get it?) and the suit-and-flat-cap costume turn the cartoon cat into a stand-in for the perhaps most used "high-aura" male character of the past decade, the brooding gangster patriarch whose every cigarette drag has been set to phonk, cinematic scores and electronic music a thousand times over. On top of that, he is made entirely out of chrome, a popular trope of asking ChatGPT (one of the few AI tools people have easy and broad access to) to render things out of very high quality materials to indicate "rarity" or "status" like diamonds, platinum and etc. A sign that itself descends from a longer lineage of in-game cosmetic rarity tiers (League of Legends, MMOs, various skin economy freemium game, the Fortnite battle pass, the Pokémon shiny, dacha games and etc) where material finish is the visual shorthand of value. So "chrome" or "platinum" Tom on top of all previous signifiers signals a “maximized” or “maxxd” version. The image is suppose to invoke the superlative highest possible tier, rarest-drop, legendary-rarity version of aura, the way a kid in a playground would describe their dad as not just strong but the strongest in the world. FOUR: Finally, the background black hole calls back to the original Tom image, where he is surrounded by the universe itself, having ascended. The character has transcended the diegetic frame of his own cartoon and now exists at a cosmological scale, with the black hole standing in for the kind of unmotivated, vibes-based "cosmic" imagery that has become the default background for any video trying to signify that something Big is happening (the same visual motif that has powered comic book characters, anime transformations, video game power ups and anything wants to feel grandiose or “epic” without specifying what about). The black hole means significance in the abstract. At this point I think you understand the mechanism at play here. None of these references resolve to a stable meaning on their own. Tom Tucker is “cool” only in the very short context in which his image served as a substrate; he was convenient footage to pair with a song, and the absurdity of doing an "aura edit" on such a minor, strange character scene makes it all funnier and easier to share. Tom-the-cat is doing the aura pose > the aura pose comes from the iShowSpeed girl > the iShowSpeed girl was cool because she correctly played her part in an established bit of a large streamer with the correct timing and theatrical flair > the bit was cool because it was a shared convention unified by a popular central streamer figure > the convention existed because phonk edits had already trained this exact scenario to be read as confidence-plus-detachment as aura > the chrome finish points to AI image generation quirks > the AI image generation style can be mapped to gaming visual rarity shorthands; the gaming rarity tiers point to a much older logic of precious-metal-as-status. Each step on the referential chain is propped by the one behind it, and the one behind it is propped up by the one behind that, so on and so forth. There is no natural endpoint, the entire structure functions more akin to a network than a linked list. If you stop at any single point and ask "but why is particular signifier cool or funny or interesting”, the answer is always "because of the thing behind it.” It’s hyper-citation, Here, what matters is the structure of the whole rather than the content. This is structure is what I mean by infinite referential mirrors. The rate at which a concept is referencing, remixing and calling back to another is what’s interesting. In other words, It’s the velocity that matters. The chain of recognitions, each "I get that reference," and the cumulative effect of getting six references stacked on top of each other a short span of time gives you the feeling that you are participating in something dense and alive, because it allows you to recognize the shared meme ecosystem of the platform that you are participating in, even if only a glimpse of it. You are inside the culture rather than outside it. The brainrot-curious reader who watches this video and feels nothing, has “failed” to understand the joke because they are outside the hall of mirrors I am describing. You can only get the magic if you step in and start counting the reflections: the song, the suit, the cat, the chrome, the black hole, the transitions the video uses. You are looking at connected parts of this network of symbols and at the speed at which one image hands you off to the next. The entire thirteen-second clip is functioning as a single compressed referential payload that decompresses in the viewer's head into a small private essay exactly like this one. The video allows you to recognize yourself as someone capable of decoding it, and that recognition is the reward. That’s why media like this goes viral.

I would like to explain the latest batch of viral videos I'm working on to the bemused brainrot-curious reader who is not familiar with "the culture". Why are these characters, mixed with this song, going viral? It's all about connecting infinite referential mirrors. What makes this video interesting are not its individual parts but the signifier links it draws. Let's look at the individual parts: ONE: The song is a Brazilian funk or "pancadão" song called MC Lan e MC WM - Sua Amiga Vou Pegar, these days part of what's broadly referred as Brazilian phonk or just phonk (not to be confused with the original phonk, a Memphis-derived genre from the early 2010s built around chopped Three 6 Mafia samples, cowbells and lo-fi tape hiss and etc. The Brazilian version comes an entirely different lineage and got its name adapted from “funk” to “phonk” exclusively because the names sounded similar. It has a similarly menacing posture but swaps the rap cadence for funk's 4/4 with kicks on 1 and 3 rhythm and a much heavier, distorted 808 synth sound). Phonk is often used for its exaggerated reverb feeling bass lines to signify power, style or simply "aura", which you can take as a shorthand for poise, coolness, being de-bon-air and a general detached positive feeling of high status. Aura. Because most users cannot understand the Portuguese lyrics (which are often quite vulgar and sexual), the singing takes the characteristic of a chant, something to be appreciated entirely for its sound, texture and gravitas. The vocals are just another instrument where you can appreciate the menace and swagger of the delivery directly without the cognitive friction of meaning. Non-Portuguese-speaking audiences are not missing anything they were supposed to get, they get “the vibe” that matters, which is not lyrical. These songs are often paired with (male) characters that are taken to display these traits like American Psycho's Patrick Bateman (yes, yes I know that’s the opposite of what you should feel about the character), Peaky Blinder's Thomas Shelby and a menagerie of anime characters like Satoru Gojo (Jujutsu Kaisen), Yujiro Hanma (Baki) and Goku and, really, any male character that is just a little bit cool. TWO: The man in the suit is a minor Family Guy character called Tom Tucker. The reference comes from a scene where Meg sees him walking through her school and says "It's Tom Tucker from the news!” We then cut to her POV, where he is walking in slow motion with soft romantic music swelling and birds chirping, the whole love-at-first-sight trope. Then a camera crew member off-screen yells "hurry up Mr. Tucker," and we get to see he is not walking in slow motion because Meg is infatuated, he is just walking that slowly in real life. Only the music and the birds were in her head. The gag is built on the viewer recognizing the romantic-slow-motion trope, briefly accepting it as the scene's reality, and then being shown that we (and Meg) projected the trope onto what is actually just a man walking very slowly. HA! The original gag is already about projection: a neutral image (slow walk) being assigned an external meaning (romance) by a viewer's pattern-recognition. This is what makes the edit-culture appropriation work so well. The clip got stripped of its context, paired with phonk and text overlays (AURA or “Me and the boys going to detention”), and retroactively assigned a new meaning, only this time it’s the cinematic nonchalant walk, the slow deliberate gait that signifies a man who knows he's the most important thing in the frame (ta la any 1980s Schwazerneggerian action movie hero walking away from an explosion without looking back, every yakuza boss entering a room, every western gunslinger approaching the duel). The edit is ostensibly projecting a trope onto a neutral image. The first projection was romance; the second projection is aura. Family Guy clips and gifs are easy to access and repost, which makes it a readily available and easy to use building block. The show has, through sheer volume of output and over two decades of YouTube and cable TV saturation, become a kind of public-domain visual library, a default vocabulary that any editor can pull from knowing the audience will recognize the source without having to be told, and we can just keep loading meaning onto it. THREE: The character in the background is Tom, from Tom and Jerry, doing a pose made famous by an iShowSpeed fan who encountered him during a livestream. By quickly and correctly identifying Speed by his full legal name ("Darren Jason Watkins Jr"), she showcased herself to be a true fan, which he responded to with his characteristic exaggerated reactions. The pose the girl hit, with the knowing look to the camera, produced a perfect “aura moment” complete commitment, zero irony, the unshakeable conviction that what she was doing was the coolest possible thing to do. As a result, the clip then got endlessly edited with "aura 🥶🥶🥶" captions to canonize it. Aura, in this lexicon, is not granted by the universe; it is summoned by the person's own belief that they have it and by displaying the correct attitude. Tom is also dressed as the previously mentioned Thomas Shelby from Peaky Blinders, which is itself a double signifier. The name match (“Thomas”, get it?) and the suit-and-flat-cap costume turn the cartoon cat into a stand-in for the perhaps most used "high-aura" male character of the past decade, the brooding gangster patriarch whose every cigarette drag has been set to phonk, cinematic scores and electronic music a thousand times over. On top of that, he is made entirely out of chrome, a popular trope of asking ChatGPT (one of the few AI tools people have easy and broad access to) to render things out of very high quality materials to indicate "rarity" or "status" like diamonds, platinum and etc. A sign that itself descends from a longer lineage of in-game cosmetic rarity tiers (League of Legends, MMOs, various skin economy freemium game, the Fortnite battle pass, the Pokémon shiny, dacha games and etc) where material finish is the visual shorthand of value. So "chrome" or "platinum" Tom on top of all previous signifiers signals a “maximized” or “maxxd” version. The image is suppose to invoke the superlative highest possible tier, rarest-drop, legendary-rarity version of aura, the way a kid in a playground would describe their dad as not just strong but the strongest in the world. FOUR: Finally, the background black hole calls back to the original Tom image, where he is surrounded by the universe itself, having ascended. The character has transcended the diegetic frame of his own cartoon and now exists at a cosmological scale, with the black hole standing in for the kind of unmotivated, vibes-based "cosmic" imagery that has become the default background for any video trying to signify that something Big is happening (the same visual motif that has powered comic book characters, anime transformations, video game power ups and anything wants to feel grandiose or “epic” without specifying what about). The black hole means significance in the abstract. At this point I think you understand the mechanism at play here. None of these references resolve to a stable meaning on their own. Tom Tucker is “cool” only in the very short context in which his image served as a substrate; he was convenient footage to pair with a song, and the absurdity of doing an "aura edit" on such a minor, strange character scene makes it all funnier and easier to share. Tom-the-cat is doing the aura pose > the aura pose comes from the iShowSpeed girl > the iShowSpeed girl was cool because she correctly played her part in an established bit of a large streamer with the correct timing and theatrical flair > the bit was cool because it was a shared convention unified by a popular central streamer figure > the convention existed because phonk edits had already trained this exact scenario to be read as confidence-plus-detachment as aura > the chrome finish points to AI image generation quirks > the AI image generation style can be mapped to gaming visual rarity shorthands; the gaming rarity tiers point to a much older logic of precious-metal-as-status. Each step on the referential chain is propped by the one behind it, and the one behind it is propped up by the one behind that, so on and so forth. There is no natural endpoint, the entire structure functions more akin to a network than a linked list. If you stop at any single point and ask "but why is particular signifier cool or funny or interesting”, the answer is always "because of the thing behind it.” It’s hyper-citation, Here, what matters is the structure of the whole rather than the content. This is structure is what I mean by infinite referential mirrors. The rate at which a concept is referencing, remixing and calling back to another is what’s interesting. In other words, It’s the velocity that matters. The chain of recognitions, each "I get that reference," and the cumulative effect of getting six references stacked on top of each other a short span of time gives you the feeling that you are participating in something dense and alive, because it allows you to recognize the shared meme ecosystem of the platform that you are participating in, even if only a glimpse of it. You are inside the culture rather than outside it. The brainrot-curious reader who watches this video and feels nothing, has “failed” to understand the joke because they are outside the hall of mirrors I am describing. You can only get the magic if you step in and start counting the reflections: the song, the suit, the cat, the chrome, the black hole, the transitions the video uses. You are looking at connected parts of this network of symbols and at the speed at which one image hands you off to the next. The entire thirteen-second clip is functioning as a single compressed referential payload that decompresses in the viewer's head into a small private essay exactly like this one. The video allows you to recognize yourself as someone capable of decoding it, and that recognition is the reward. That’s why media like this goes viral.

Pleometric

69,255 görüntüleme • 3 ay önce

🚨 WARNING: SOMETHING BIG WILL HAPPEN THIS WEEK!! Iran just proposed stopping its nuclear program for 5 years. While President Trump demands a 20-year halt. Many people think that a deal is not possible right now because the gap is massive. But my insider just confirmed that this is simple bargaining. He also says that governments have almost found a compromise at around 12 years. If you hold any assets: - Stocks - Crypto - Bonds - Or even the dollar YOU MUST READ this post before it's too late. So here's what's happening: Iran named a specific timeframe and is ready to discuss diluting its enriched uranium. This is a MASSIVE step forward compared to what we had a month ago. Trump confirmed on Monday: "IRAN REACHED OUT DIRECTLY AND WANTS TO MAKE A DEAL." For the market, this is a signal: “WAR IS EXPENSIVE for everyone—time to take profits and reopen ports.” - The S&P 500 and Nasdaq are showing optimism because easing tensions in the Strait of Hormuz is instant profit for the global economy. As soon as news about a possible second round of negotiations came out, oil started cooling off. This unloads inflation and gives markets a reason to move higher. - Sources from Pakistan (where the tensions are happening) leaked info that the deal was 80% ready. Yes, they didn’t sign over the weekend, but they are very close. Now mediators (Egypt, Turkey, and Pakistan) have stepped in to push through the remaining 20%. Iran is backed into a corner by the blockade and wants its assets unfrozen. Trump wants a “GRAND DEAL”. To go down in history as a peacemaker and crash gasoline prices. You can also see that after the "FAILED" negotiations in Islamabad, the market didn't CRASH. Instead, it started rising on headlines about continued dialogue, which is the best indicator. As soon as governments make a deal, markets will SKYROCKET. This is exactly the time when REAL MONEY is made. And you should track all the updates so you don’t miss the opportunity. But don’t worry, I will keep you updated on everything here. I will post everything before it becomes HEADLINES. When I make my next move, I’ll share it publicly here. Follow and turn on notifications so you don't miss it. Comment "Strategy" and I will send you my guide in DMs. Many people will regret not following me earlier...

🚨 WARNING: SOMETHING BIG WILL HAPPEN THIS WEEK!! Iran just proposed stopping its nuclear program for 5 years. While President Trump demands a 20-year halt. Many people think that a deal is not possible right now because the gap is massive. But my insider just confirmed that this is simple bargaining. He also says that governments have almost found a compromise at around 12 years. If you hold any assets: - Stocks - Crypto - Bonds - Or even the dollar YOU MUST READ this post before it's too late. So here's what's happening: Iran named a specific timeframe and is ready to discuss diluting its enriched uranium. This is a MASSIVE step forward compared to what we had a month ago. Trump confirmed on Monday: "IRAN REACHED OUT DIRECTLY AND WANTS TO MAKE A DEAL." For the market, this is a signal: “WAR IS EXPENSIVE for everyone—time to take profits and reopen ports.” - The S&P 500 and Nasdaq are showing optimism because easing tensions in the Strait of Hormuz is instant profit for the global economy. As soon as news about a possible second round of negotiations came out, oil started cooling off. This unloads inflation and gives markets a reason to move higher. - Sources from Pakistan (where the tensions are happening) leaked info that the deal was 80% ready. Yes, they didn’t sign over the weekend, but they are very close. Now mediators (Egypt, Turkey, and Pakistan) have stepped in to push through the remaining 20%. Iran is backed into a corner by the blockade and wants its assets unfrozen. Trump wants a “GRAND DEAL”. To go down in history as a peacemaker and crash gasoline prices. You can also see that after the "FAILED" negotiations in Islamabad, the market didn't CRASH. Instead, it started rising on headlines about continued dialogue, which is the best indicator. As soon as governments make a deal, markets will SKYROCKET. This is exactly the time when REAL MONEY is made. And you should track all the updates so you don’t miss the opportunity. But don’t worry, I will keep you updated on everything here. I will post everything before it becomes HEADLINES. When I make my next move, I’ll share it publicly here. Follow and turn on notifications so you don't miss it. Comment "Strategy" and I will send you my guide in DMs. Many people will regret not following me earlier...

ᴛʀᴀᴄᴇʀ

383,169 görüntüleme • 4 ay önce

A Love Story ♥️♥️ "Bro, drop her. There are plenty of normal girls." That's what my teammate muttered in the locker room the week Leah joined our cheer squad full-time. I was the starting quarterback. Team captain. The guy people expected to date the loudest girl in the room — the one with the biggest following and the brightest spotlight. Leah didn't fit that script. She had Down syndrome. She didn't chase attention. She didn't care about being seen. But she showed up. Every single time. While everyone else filtered in late, Leah was already stretching on the sidelines. When practice ran long and tempers ran short, she stayed steady. When I threw a bad pass and slammed my helmet in frustration, she didn't flinch — she just said, "You'll get it next drive. You always do." She believed in me before I believed in myself. She waited after practice to ask how the game plan was shaping up. In study hall, when my grades started slipping, she'd slide my notebook back toward me and say, "Focus. You said you wanted that scholarship." No one else noticed when I was overwhelmed. Leah did. I started walking her home after practice. She'd tell me about her routines, how long she'd dreamed of wearing that uniform, how she practiced cheers in her bedroom mirror when she was ten. She spoke about everything with this quiet certainty — like joy was something you could train for. Somewhere between late-night games and early morning classes, I realized something: I wasn't looking for her out of responsibility. I was looking for her because she was my calm. Before every kickoff, I'd scan the sidelines until | saw her. And when she caught my eye, she'd give me that small nod like she was saying, You're ready. After graduation, people assumed we'd drift apart. We didn't. We stayed through college applications and job rejections. Through cramped apartments and long-distance moves. Through cheap furniture and shared savings accounts. We built our life slowly - brick by brick, paycheck by paycheck. Leah still shows up. She still reminds me of the things I forget. Still believes in plans I haven't finished building. Still chooses me on ordinary Tuesdays. Fifteen years later, when | look across our kitchen table, I see the same girl who stood on the sidelines and steadied my heartbeat before every game. They told me to find someone "normal." I found someone extraordinary. And I'm still choosing Leah the same way I did at seventeen — not because it's easy. But because she's the best decision I ever made.

A Love Story ♥️♥️ "Bro, drop her. There are plenty of normal girls." That's what my teammate muttered in the locker room the week Leah joined our cheer squad full-time. I was the starting quarterback. Team captain. The guy people expected to date the loudest girl in the room — the one with the biggest following and the brightest spotlight. Leah didn't fit that script. She had Down syndrome. She didn't chase attention. She didn't care about being seen. But she showed up. Every single time. While everyone else filtered in late, Leah was already stretching on the sidelines. When practice ran long and tempers ran short, she stayed steady. When I threw a bad pass and slammed my helmet in frustration, she didn't flinch — she just said, "You'll get it next drive. You always do." She believed in me before I believed in myself. She waited after practice to ask how the game plan was shaping up. In study hall, when my grades started slipping, she'd slide my notebook back toward me and say, "Focus. You said you wanted that scholarship." No one else noticed when I was overwhelmed. Leah did. I started walking her home after practice. She'd tell me about her routines, how long she'd dreamed of wearing that uniform, how she practiced cheers in her bedroom mirror when she was ten. She spoke about everything with this quiet certainty — like joy was something you could train for. Somewhere between late-night games and early morning classes, I realized something: I wasn't looking for her out of responsibility. I was looking for her because she was my calm. Before every kickoff, I'd scan the sidelines until | saw her. And when she caught my eye, she'd give me that small nod like she was saying, You're ready. After graduation, people assumed we'd drift apart. We didn't. We stayed through college applications and job rejections. Through cramped apartments and long-distance moves. Through cheap furniture and shared savings accounts. We built our life slowly - brick by brick, paycheck by paycheck. Leah still shows up. She still reminds me of the things I forget. Still believes in plans I haven't finished building. Still chooses me on ordinary Tuesdays. Fifteen years later, when | look across our kitchen table, I see the same girl who stood on the sidelines and steadied my heartbeat before every game. They told me to find someone "normal." I found someone extraordinary. And I'm still choosing Leah the same way I did at seventeen — not because it's easy. But because she's the best decision I ever made.

G-MA & G-PA

308,769 görüntüleme • 5 ay önce

‼️🇺🇸: NASA JPL AT CENTER OF MISSING SCIENTISTS & WHCD ATTACKER FOUNDED BY OCCULT LEADER WITH TIES TO ISRAEL 👀 Jack Parsons, co-founder of the Jet Propulsion Laboratory (JPL) and Aerojet—didn’t just pioneer the solid-fuel rockets that won WWII and launched the Space Age. He summoned 'gods' while doing it. In 1945–46, while developing the castable composite propellants that still power modern missiles and boosters, Parsons performed the Babalon Working: a series of Enochian sex-magick rituals with L. Ron Hubbard as scribe and red-haired artist Marjorie Cameron as the invoked “Scarlet Woman.” Their goal? Incarnate the Thelemite goddess Babalon on Earth and birth a magical messiah. They chanted in the Mojave, masturbated onto sigils to Prokofiev’s Second Violin Concerto, and declared victory when Cameron appeared unannounced. Parsons was a devoted follower of Aleister Crowley—saw no contradiction. Crowley himself called Parsons “the most valued member of the whole Order, with no exception.” By day: JPL founder building America’s rocket future at Arroyo Seco. By night: leading the Agape Lodge O.T.O. sex-magick commune at the Parsonage in Pasadena, complete with animal sacrifice, polyamory, and invocations to open portals. Parsons led the California O.T.O. lodge under Crowley’s direct blessing. He interpreted Thelema through quantum physics and rocket science: “Magick is the Science and Art of causing Change to occur in conformity with Will.” JPL’s official history whitewashes this. Imagine that. 🤷🏻‍♂️ Fast-forward to 1950. Parsons is blacklisted from classified U.S. work after FBI probes into his “subversive” occult lodge and past leftist ties. Enter Herbert T. Rosenfeld, president of the Southern California chapter of the American Technion Society—an explicitly Zionist organization supporting Israel’s technological and military development. Rosenfeld hires Parsons to build Israel’s early rocket program. Parsons prepares technical reports (some still classified from his Hughes Aircraft work) and plans to emigrate with Cameron. He was literally about to hand U.S. propulsion secrets to the new State of Israel. A Hughes secretary types the docs and reports him to the FBI for espionage. Declassified FBI files confirm: investigators suspected Parsons was TRANSFERRING CLASSIFIED ROCKET TECH TO ISRAEL and acting as its agent. He was investigated, cleared in 1951, but the damage was permanent—NO MORE CLEARANCES, no more big contracts. He pivoted to Hollywood special effects while still chasing the Israel dream. June 17, 1952: Parsons dies in a lab explosion mixing fulminate of mercury. Official ruling: accident (he was notoriously reckless). But Marjorie Cameron never bought it. She suspected anti-Zionists murdered him for trying to arm Israel—or LAPD payback for his past testimony, or something darker. She spent decades performing blood rituals and astral sex-magick to contact his spirit, convinced his death was part of a larger pattern. The timeline they don’t teach in aerospace textbooks: 1930s–40s: Parsons co-founds JPL while leading Crowley’s occult O.T.O. lodge and the Babalon Working. 1946: Attempts to incarnate a Babylon "goddess" while inventing the fuels that defined the Cold War and space race. 1950–52: Pro-Israel rocket consultancy—FBI espionage probe—mysterious death before he can leave for Israel where he was attempting permanently migrate. The link of the lab that became NASA’s crown jewel. Crowley’s Thelema, Parsons’ rituals, and real ties to the founding of Israel’s defense tech—all hidden in plain sight. Why is this buried? Why do propulsion and classified-tech “missing scientists” threads keep circling back to these same institutional circles? What's REALLY going on here? 🤔

‼️🇺🇸: NASA JPL AT CENTER OF MISSING SCIENTISTS & WHCD ATTACKER FOUNDED BY OCCULT LEADER WITH TIES TO ISRAEL 👀 Jack Parsons, co-founder of the Jet Propulsion Laboratory (JPL) and Aerojet—didn’t just pioneer the solid-fuel rockets that won WWII and launched the Space Age. He summoned 'gods' while doing it. In 1945–46, while developing the castable composite propellants that still power modern missiles and boosters, Parsons performed the Babalon Working: a series of Enochian sex-magick rituals with L. Ron Hubbard as scribe and red-haired artist Marjorie Cameron as the invoked “Scarlet Woman.” Their goal? Incarnate the Thelemite goddess Babalon on Earth and birth a magical messiah. They chanted in the Mojave, masturbated onto sigils to Prokofiev’s Second Violin Concerto, and declared victory when Cameron appeared unannounced. Parsons was a devoted follower of Aleister Crowley—saw no contradiction. Crowley himself called Parsons “the most valued member of the whole Order, with no exception.” By day: JPL founder building America’s rocket future at Arroyo Seco. By night: leading the Agape Lodge O.T.O. sex-magick commune at the Parsonage in Pasadena, complete with animal sacrifice, polyamory, and invocations to open portals. Parsons led the California O.T.O. lodge under Crowley’s direct blessing. He interpreted Thelema through quantum physics and rocket science: “Magick is the Science and Art of causing Change to occur in conformity with Will.” JPL’s official history whitewashes this. Imagine that. 🤷🏻‍♂️ Fast-forward to 1950. Parsons is blacklisted from classified U.S. work after FBI probes into his “subversive” occult lodge and past leftist ties. Enter Herbert T. Rosenfeld, president of the Southern California chapter of the American Technion Society—an explicitly Zionist organization supporting Israel’s technological and military development. Rosenfeld hires Parsons to build Israel’s early rocket program. Parsons prepares technical reports (some still classified from his Hughes Aircraft work) and plans to emigrate with Cameron. He was literally about to hand U.S. propulsion secrets to the new State of Israel. A Hughes secretary types the docs and reports him to the FBI for espionage. Declassified FBI files confirm: investigators suspected Parsons was TRANSFERRING CLASSIFIED ROCKET TECH TO ISRAEL and acting as its agent. He was investigated, cleared in 1951, but the damage was permanent—NO MORE CLEARANCES, no more big contracts. He pivoted to Hollywood special effects while still chasing the Israel dream. June 17, 1952: Parsons dies in a lab explosion mixing fulminate of mercury. Official ruling: accident (he was notoriously reckless). But Marjorie Cameron never bought it. She suspected anti-Zionists murdered him for trying to arm Israel—or LAPD payback for his past testimony, or something darker. She spent decades performing blood rituals and astral sex-magick to contact his spirit, convinced his death was part of a larger pattern. The timeline they don’t teach in aerospace textbooks: 1930s–40s: Parsons co-founds JPL while leading Crowley’s occult O.T.O. lodge and the Babalon Working. 1946: Attempts to incarnate a Babylon "goddess" while inventing the fuels that defined the Cold War and space race. 1950–52: Pro-Israel rocket consultancy—FBI espionage probe—mysterious death before he can leave for Israel where he was attempting permanently migrate. The link of the lab that became NASA’s crown jewel. Crowley’s Thelema, Parsons’ rituals, and real ties to the founding of Israel’s defense tech—all hidden in plain sight. Why is this buried? Why do propulsion and classified-tech “missing scientists” threads keep circling back to these same institutional circles? What's REALLY going on here? 🤔

Diligent Denizen 🇺🇸

18,400 görüntüleme • 3 ay önce