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Real Training Still Exists‼️ 𝐁𝐄𝐋𝐈𝐄𝐕𝐄 𝐓𝐇𝐄 𝐇𝐘𝐏𝐄 BIRMINGHAM’S PREMIER SPORTS PERFORMANCE CENTER ❌Come see us Today❌ @xfp_bham #XFP #XFPTrained

Kevin Brown

2,422 subscribers

10,606 次观看 • 3 年前 •via X (Twitter)

#XFP #XFPTrained

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_2 年前

@XFP_Bham Hey bro I need to get my son connected with you ASAP!!!!

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$TSLA rejected the $355–$360 liquidity zone again today. 🚨 This isn’t weakness. It’s big money shaking out weak hands. An expected trap to test retail before the real move. ❌ I still see a high probability we rip to $400 in the next 45–60 days. 📹 Full breakdown + why I’m holding

$TSLA rejected the $355–$360 liquidity zone again today. 🚨 This isn’t weakness. It’s big money shaking out weak hands. An expected trap to test retail before the real move. ❌ I still see a high probability we rip to $400 in the next 45–60 days. 📹 Full breakdown + why I’m holding

Peter DiCarlo

330,815 次观看 • 10 个月前

Here’s a video of a live review our testing process and our new Athlete/Coach Portal! The fall is the perfect time to come in for an evaluation! Our testing process and reports may be the most valuable information you receive in your career. ✅ Arm care and recovery programs ✅ Biomechanical analysis and training ✅ Full Body Velocity Capacity testing (do you know your real and safe velo capacity?) ✅ Strength and Conditioning designed specifically for rotational athletes ✅ Return to Performance programs for injured ✅ Mental performance training ✅Mustard 〽️ report cards ✅ArmCare.com testing ✅Trackman Baseball data collection Schedule your evaluation today! Email in bio. National Pitching Association | Tom House Sports Tom House 〽️ Mitchell Cashion David Garcia

Here’s a video of a live review our testing process and our new Athlete/Coach Portal! The fall is the perfect time to come in for an evaluation! Our testing process and reports may be the most valuable information you receive in your career. ✅ Arm care and recovery programs ✅ Biomechanical analysis and training ✅ Full Body Velocity Capacity testing (do you know your real and safe velo capacity?) ✅ Strength and Conditioning designed specifically for rotational athletes ✅ Return to Performance programs for injured ✅ Mental performance training ✅Mustard 〽️ report cards ✅ArmCare.com testing ✅Trackman Baseball data collection Schedule your evaluation today! Email in bio. National Pitching Association | Tom House Sports Tom House 〽️ Mitchell Cashion David Garcia

Dean Doxakis

14,543 次观看 • 11 个月前

🚨 Reminder: Iran’s foreign policy as of TODAY is still “Death to America.” To anyone complaining about the U.S. supporting missile strikes on Iran: ▶️ Watch the video. This isn’t subtle. They chant “Death to America,” call us a “source of shame,” vow to expand their power, and openly call for Israel to be “uprooted.” And you still think they should be allowed to get nukes? Absolutely not. As much as I dislike Israel, let’s be real—they’re doing us a huge favor by taking out Iran’s nuclear sites. And as their ally, we should back them up. I’ve said it before and I’ll say it again: ✅ U.S. missile strikes? Fine. ✅ Defending Israel from retaliation? Fine. ❌ Boots on the ground in Iran? NEVER. Not one American soldier should step foot in that country. #IranThreat #DeathToAmerica #NoNukesForIran #AmericaFirst #TrumpWasRight #NationalSecurity

🚨 Reminder: Iran’s foreign policy as of TODAY is still “Death to America.” To anyone complaining about the U.S. supporting missile strikes on Iran: ▶️ Watch the video. This isn’t subtle. They chant “Death to America,” call us a “source of shame,” vow to expand their power, and openly call for Israel to be “uprooted.” And you still think they should be allowed to get nukes? Absolutely not. As much as I dislike Israel, let’s be real—they’re doing us a huge favor by taking out Iran’s nuclear sites. And as their ally, we should back them up. I’ve said it before and I’ll say it again: ✅ U.S. missile strikes? Fine. ✅ Defending Israel from retaliation? Fine. ❌ Boots on the ground in Iran? NEVER. Not one American soldier should step foot in that country. #IranThreat #DeathToAmerica #NoNukesForIran #AmericaFirst #TrumpWasRight #NationalSecurity

Project Constitution

41,478 次观看 • 1 年前

howoo talking abt military enlistment 🥹 🐯: we used to see each other like 5 days a week, but now the two of us won’t even be able to see each other. 🍑: right. 🐯: so let’s meet on a train if we get the chance. 🍑: 😆 🐯: you know, like events etc. ofc, it’ll be different units but still… 🍑: right right. 😆 🐯: jihoonie is going to nonsan training center, and i’m going to yeoncheon, so, oh, are we not supposed to say things like this? 🍑: it’s going to come out anyway. 🐯: anyway, so we’ll be assigned to different bases, not that we really know since we haven’t been there ourselves. 🐯: when that time comes if there’s a chance let’s meet again. 🍑: yeah. 🐯: since carats don’t have our phone numbers, you won’t really be able to reach us. but there’s weverse, so don’t worry too much. and for us, let’s just keep talking in the group chat.

howoo talking abt military enlistment 🥹 🐯: we used to see each other like 5 days a week, but now the two of us won’t even be able to see each other. 🍑: right. 🐯: so let’s meet on a train if we get the chance. 🍑: 😆 🐯: you know, like events etc. ofc, it’ll be different units but still… 🍑: right right. 😆 🐯: jihoonie is going to nonsan training center, and i’m going to yeoncheon, so, oh, are we not supposed to say things like this? 🍑: it’s going to come out anyway. 🐯: anyway, so we’ll be assigned to different bases, not that we really know since we haven’t been there ourselves. 🐯: when that time comes if there’s a chance let’s meet again. 🍑: yeah. 🐯: since carats don’t have our phone numbers, you won’t really be able to reach us. but there’s weverse, so don’t worry too much. and for us, let’s just keep talking in the group chat.

디 ૮₍ ˃⤙˂ ₎ა

104,810 次观看 • 11 个月前

Valentine's Day had nothing to do with love. ❤️❌ No romance. No flowers. No love letters. For over a thousand years, it was just a saint's feast day. Then one British poet changed everything. 🇬🇧 Not Hallmark. Not America. Not the Romans. A man in England, 1382, wrote a single poem. And the entire world followed. His name was Geoffrey Chaucer. He wrote about birds choosing their mates on Saint Valentine's Day. Before that poem, NOBODY connected February 14th with romance. After it, every poet in Europe followed his lead. A hundred years later, a woman in Norfolk picked up a pen. She wrote to the man she loved. She called him "my right well-beloved Valentine." Her name was Margery Brews. 1477. That letter still exists. You can see it in the British Library today. Every card. Every bunch of flowers. Every "be my Valentine." It all started with a British poet and a woman from Norfolk. Happy Valentine's Day. From Britain. 🇬🇧 Be part of us. Be Proud Of Us. 🇬🇧

Valentine's Day had nothing to do with love. ❤️❌ No romance. No flowers. No love letters. For over a thousand years, it was just a saint's feast day. Then one British poet changed everything. 🇬🇧 Not Hallmark. Not America. Not the Romans. A man in England, 1382, wrote a single poem. And the entire world followed. His name was Geoffrey Chaucer. He wrote about birds choosing their mates on Saint Valentine's Day. Before that poem, NOBODY connected February 14th with romance. After it, every poet in Europe followed his lead. A hundred years later, a woman in Norfolk picked up a pen. She wrote to the man she loved. She called him "my right well-beloved Valentine." Her name was Margery Brews. 1477. That letter still exists. You can see it in the British Library today. Every card. Every bunch of flowers. Every "be my Valentine." It all started with a British poet and a woman from Norfolk. Happy Valentine's Day. From Britain. 🇬🇧 Be part of us. Be Proud Of Us. 🇬🇧

Proudofus.uk

47,497 次观看 • 5 个月前

A team tested Pi0, Pi0 Fast, Gr00t, and ACT on real robot arms in manufacturing tasks. (🔖 Bookmark this for later!) The task was precise: place thin rectangular frames from a messy stack into a holder. The team fine-tuned each model on 100 real trajectories and compared training time, inference speed, motion quality, and success rates. ⬇️ Here’s a breakdown of what they found Pi0 (Original) ✅ Strongest overall performance in precise pick-and-place ✅ High success rate even in edge cases ✅ Longest training time (~11 hours, ~$30 per run) ✅ Inference time of 80 ms causes short pauses between actions Despite delays, it handles complex scenarios well… solid for high-precision tasks, but slow to train. Gr00t ✅ Trains fast (~2 hours, ~$5 per run) ✅ Performs almost as well as Pi0 on large-object tasks ✅ Struggles with fine precision; random movement in some trials ✅ More training didn’t fix jitter or random offsets Best suited for tasks where exact precision isn’t critical. Not ready for manufacturing-grade accuracy without more tuning. Pi0 Fast ✅ Promised faster training, but results were underwhelming ✅ Training at 6 hours still showed low success rates ✅ Inference was slower than expected ✅ Not reliable for generalizing even slightly new tasks Currently too unstable for real-world deployment. Doesn’t live up to the “Fast” name yet. ACT (Baseline) ✅ 200MB model—lightweight, but limited ✅ Struggles with stacked objects or ambiguous scenes ✅ Success rates around 70% in best-case setups ✅ Can’t match newer models on precision or generalization Still a solid baseline, but clearly a generation behind in robustness. 🚨 Extra Notes All newer models share a common issue: •Inference takes longer than a frame (80 ms vs 33 ms), so robots “pause” between chunks. •This results in jittery movements, but not a dealbreaker unless tasks are time-sensitive. Language-conditioned tasks also fell short: after training on two labeled tasks, the model couldn’t generalize to a third unseen combination using only text prompts. ✅ The good news? These models adapt well to new robot arms with quick fine-tuning. ❌ The bad news? There’s still no plug-and-play solution for improving performance after deployment. Reinforcement learning or DAgger-style data collection during real-world operation may be the next big step, something many teams in robotics are actively working on.

A team tested Pi0, Pi0 Fast, Gr00t, and ACT on real robot arms in manufacturing tasks. (🔖 Bookmark this for later!) The task was precise: place thin rectangular frames from a messy stack into a holder. The team fine-tuned each model on 100 real trajectories and compared training time, inference speed, motion quality, and success rates. ⬇️ Here’s a breakdown of what they found Pi0 (Original) ✅ Strongest overall performance in precise pick-and-place ✅ High success rate even in edge cases ✅ Longest training time (~11 hours, ~$30 per run) ✅ Inference time of 80 ms causes short pauses between actions Despite delays, it handles complex scenarios well… solid for high-precision tasks, but slow to train. Gr00t ✅ Trains fast (~2 hours, ~$5 per run) ✅ Performs almost as well as Pi0 on large-object tasks ✅ Struggles with fine precision; random movement in some trials ✅ More training didn’t fix jitter or random offsets Best suited for tasks where exact precision isn’t critical. Not ready for manufacturing-grade accuracy without more tuning. Pi0 Fast ✅ Promised faster training, but results were underwhelming ✅ Training at 6 hours still showed low success rates ✅ Inference was slower than expected ✅ Not reliable for generalizing even slightly new tasks Currently too unstable for real-world deployment. Doesn’t live up to the “Fast” name yet. ACT (Baseline) ✅ 200MB model—lightweight, but limited ✅ Struggles with stacked objects or ambiguous scenes ✅ Success rates around 70% in best-case setups ✅ Can’t match newer models on precision or generalization Still a solid baseline, but clearly a generation behind in robustness. 🚨 Extra Notes All newer models share a common issue: •Inference takes longer than a frame (80 ms vs 33 ms), so robots “pause” between chunks. •This results in jittery movements, but not a dealbreaker unless tasks are time-sensitive. Language-conditioned tasks also fell short: after training on two labeled tasks, the model couldn’t generalize to a third unseen combination using only text prompts. ✅ The good news? These models adapt well to new robot arms with quick fine-tuning. ❌ The bad news? There’s still no plug-and-play solution for improving performance after deployment. Reinforcement learning or DAgger-style data collection during real-world operation may be the next big step, something many teams in robotics are actively working on.

Ilir Aliu

21,844 次观看 • 1 年前

🚨Heartbreaking Street Moment That Exposes Generational Divide : watch most emotional video. A man lifts a heavy container onto his head and suddenly everyone around panics and runs away. No one steps in to help or stop him. But when he sits down and breaks into tears, an elderly grandmother gently places her hand on his shoulder and comforts him with pure kindness. Soon another caring older lady joins to support him. The young people nearby? Almost none showed any empathy or understanding for his pain. This emotional video beautifully reveals the big difference in compassion between the older generation and today’s youth. It makes you wonder has modern life made us so disconnected that we’ve lost the simple human touch our elders still carry? True kindness still exists, but we desperately need to revive it. Tag someone who needs to see this. Do you agree there’s a real generational gap in empathy today? How can we bring back that old compassion in the younger generation?

🚨Heartbreaking Street Moment That Exposes Generational Divide : watch most emotional video. A man lifts a heavy container onto his head and suddenly everyone around panics and runs away. No one steps in to help or stop him. But when he sits down and breaks into tears, an elderly grandmother gently places her hand on his shoulder and comforts him with pure kindness. Soon another caring older lady joins to support him. The young people nearby? Almost none showed any empathy or understanding for his pain. This emotional video beautifully reveals the big difference in compassion between the older generation and today’s youth. It makes you wonder has modern life made us so disconnected that we’ve lost the simple human touch our elders still carry? True kindness still exists, but we desperately need to revive it. Tag someone who needs to see this. Do you agree there’s a real generational gap in empathy today? How can we bring back that old compassion in the younger generation?

Ramesh Tiwari

41,893 次观看 • 1 个月前

⚫️ UNCANNY VALLEY: AI IN SPORTS — FAIR OR UNFAIR ADVANTAGE? Are we witnessing the end of human merit in sports? Swupnil Sahai 🎾🧠—ex-Tesla engineer and co-founder of SwingVision—thinks AI isn't just changing the game. It's redefining the rules, the training, even the players themselves. From iPhones that out-call line judges to AI coaching that levels the field, this episode explores what happens when everyone has a superpower—and why the next era of sports might feel more like cyborg vs. cyborg. But Swupnil says the real win? It's access. AI could democratize elite performance for everyone. Welcome to The Uncanny Valley Weekly Series with Dr Danish, Fridays at 4:20PM ET, ONLY on 𝕏. Episode 8: THE AUGMENTED ATHLETE—ARE WE ALL AI JUICING NOW? 00:22 – “It’s already better than us at some tasks.” 01:21 – Why user-friendly AI will explode in the next 24 months. 02:41 – Most people still underestimate what’s coming. 04:30 – Universal basic income? Guardrails? Swupnil says we better start now. 06:08 – “AI might be more dangerous than nukes.” 07:30 – The kill switch question—and why Tesla has it right. 08:27 – AI is now coaching, calling, and editing your tennis matches. 09:25 – AI > coach? Why SwingVision is training better and cheaper. 10:29 – The Elon Musk moment that changed everything. 12:48 – On-device AI: faster, private, and zero marginal cost. 15:21 – No data? No problem. Building training sets from scratch. 16:32 – AI won’t ruin sports—it could equalize them. 17:43 – Microchips and implants: when tech becomes the body. 19:29 – Will SwingVision become more than sports? 20:00 – Craziest prediction: AI commentators for every high school game. 21:50 – Subscription vs. surveillance: the real cost of AI access. 23:42 – Hardware is king—and it’s catching up fast. 24:54 – “10 people will run the next billion-dollar startup.” 25:33 – His biggest fear? “Regulation is too slow—and bad actors move fast.” 26:06 – His message to AGI in 2040: “Hey... we come in peace.” 28:33 – Trusted by pros like Andy Roddick + 100+ D1 teams. 29:36 – Are we all just juicing with AI now? 30:48 – “It’s still up to you. It’s on your racket. Literally.”

⚫️ UNCANNY VALLEY: AI IN SPORTS — FAIR OR UNFAIR ADVANTAGE? Are we witnessing the end of human merit in sports? Swupnil Sahai 🎾🧠—ex-Tesla engineer and co-founder of SwingVision—thinks AI isn't just changing the game. It's redefining the rules, the training, even the players themselves. From iPhones that out-call line judges to AI coaching that levels the field, this episode explores what happens when everyone has a superpower—and why the next era of sports might feel more like cyborg vs. cyborg. But Swupnil says the real win? It's access. AI could democratize elite performance for everyone. Welcome to The Uncanny Valley Weekly Series with Dr Danish, Fridays at 4:20PM ET, ONLY on 𝕏. Episode 8: THE AUGMENTED ATHLETE—ARE WE ALL AI JUICING NOW? 00:22 – “It’s already better than us at some tasks.” 01:21 – Why user-friendly AI will explode in the next 24 months. 02:41 – Most people still underestimate what’s coming. 04:30 – Universal basic income? Guardrails? Swupnil says we better start now. 06:08 – “AI might be more dangerous than nukes.” 07:30 – The kill switch question—and why Tesla has it right. 08:27 – AI is now coaching, calling, and editing your tennis matches. 09:25 – AI > coach? Why SwingVision is training better and cheaper. 10:29 – The Elon Musk moment that changed everything. 12:48 – On-device AI: faster, private, and zero marginal cost. 15:21 – No data? No problem. Building training sets from scratch. 16:32 – AI won’t ruin sports—it could equalize them. 17:43 – Microchips and implants: when tech becomes the body. 19:29 – Will SwingVision become more than sports? 20:00 – Craziest prediction: AI commentators for every high school game. 21:50 – Subscription vs. surveillance: the real cost of AI access. 23:42 – Hardware is king—and it’s catching up fast. 24:54 – “10 people will run the next billion-dollar startup.” 25:33 – His biggest fear? “Regulation is too slow—and bad actors move fast.” 26:06 – His message to AGI in 2040: “Hey... we come in peace.” 28:33 – Trusted by pros like Andy Roddick + 100+ D1 teams. 29:36 – Are we all just juicing with AI now? 30:48 – “It’s still up to you. It’s on your racket. Literally.”

Mario Nawfal

1,602,951 次观看 • 1 年前

HOW TO LOOK COOL & GET THE GIRL WHEN YOU APPROACH ❌ Home in on the girl you like and ignore her friend who’s also staring at you ✅ Open both girls at once, talk to both, win them both over ❌ Describe yourself as chasing after her (“courage to come up to you”) ✅ Use a chill opener instead (e.g., “Looks like you’re putting a lot of thought into that decision”) ❌ Ask her name unprompted (“What’s your name?”; you are seeking information from her) ✅ Offer your name first (“I’m Daniel”; you are offering value to her) ❌ Shake her hand like it’s a new business partnership ✅ Hold her hand a moment and give it a squeeze without shaking it ❌ Use her foreignness to compliment her looks in another language (“Muy bonita gracias”) ✅ Use her foreignness to ask what she’s doing here (creates an open loop) ❌ Compliment her looks a 3rd time while explaining yourself (“came up because you’re gorgeous”) ✅ Have her comply with you instead (“I love that bracelet. Let me have a look?” [beckon her]) ❌ Get her to show you the lingerie she bought then completely change the topic ✅ Get her to show you the lingerie she bought then flirt over it (“Oh… lingerie… what is THAT for??”) ❌ Ask her out 40 seconds in after on a non-high point not building any real attraction or connection ✅ Talk to her for at least 2 minutes, build attraction + connection, THEN ask her out on a HIGH point (i.e., she is really engaged, laughing hard, showing a lot of curiosity about you, etc.) Notes from the video: • During the initial moment, she smile genuinely and eyes him up and down (see her head to toe glance) while quickly finishing what she is doing. She shows initial openness to him. HOWEVER… • She gives the “Oh, gosh” eye shut and grimacing nod in response to his “chasing after you” opener. She acknowledges it’s ‘funny’ but still cringe. • She follows this by PICKING UP HER CUP (which she does not need to do) and holding it in front of herself defensively, creating a barrier between her and him. (If she was into the approach, she’d leave the cup there and face him without a barrier.) • After he blasts her with the fourth compliment, she backs away from him while laughing awkwardly and eye codes her friend (whom this guy’s still ignoring) in disbelief. • When he asks her out on “like a food date”, she takes two seconds to break eye contact to the side, still with her forced smile, briefly shakes her head “no”, then nods politely and says it “sounds good” and gives her number (while eye coding her friend again) just to get rid of him. • After he gets the number, he tells her “Next Friday?” and she doesn’t even need to think about what she has going on or check her schedule because she has no intention of actually meeting this guy, so she just says “Next Friday, perfect” to get this over with. Approach better & avoid these mistakes!

HOW TO LOOK COOL & GET THE GIRL WHEN YOU APPROACH ❌ Home in on the girl you like and ignore her friend who’s also staring at you ✅ Open both girls at once, talk to both, win them both over ❌ Describe yourself as chasing after her (“courage to come up to you”) ✅ Use a chill opener instead (e.g., “Looks like you’re putting a lot of thought into that decision”) ❌ Ask her name unprompted (“What’s your name?”; you are seeking information from her) ✅ Offer your name first (“I’m Daniel”; you are offering value to her) ❌ Shake her hand like it’s a new business partnership ✅ Hold her hand a moment and give it a squeeze without shaking it ❌ Use her foreignness to compliment her looks in another language (“Muy bonita gracias”) ✅ Use her foreignness to ask what she’s doing here (creates an open loop) ❌ Compliment her looks a 3rd time while explaining yourself (“came up because you’re gorgeous”) ✅ Have her comply with you instead (“I love that bracelet. Let me have a look?” [beckon her]) ❌ Get her to show you the lingerie she bought then completely change the topic ✅ Get her to show you the lingerie she bought then flirt over it (“Oh… lingerie… what is THAT for??”) ❌ Ask her out 40 seconds in after on a non-high point not building any real attraction or connection ✅ Talk to her for at least 2 minutes, build attraction + connection, THEN ask her out on a HIGH point (i.e., she is really engaged, laughing hard, showing a lot of curiosity about you, etc.) Notes from the video: • During the initial moment, she smile genuinely and eyes him up and down (see her head to toe glance) while quickly finishing what she is doing. She shows initial openness to him. HOWEVER… • She gives the “Oh, gosh” eye shut and grimacing nod in response to his “chasing after you” opener. She acknowledges it’s ‘funny’ but still cringe. • She follows this by PICKING UP HER CUP (which she does not need to do) and holding it in front of herself defensively, creating a barrier between her and him. (If she was into the approach, she’d leave the cup there and face him without a barrier.) • After he blasts her with the fourth compliment, she backs away from him while laughing awkwardly and eye codes her friend (whom this guy’s still ignoring) in disbelief. • When he asks her out on “like a food date”, she takes two seconds to break eye contact to the side, still with her forced smile, briefly shakes her head “no”, then nods politely and says it “sounds good” and gives her number (while eye coding her friend again) just to get rid of him. • After he gets the number, he tells her “Next Friday?” and she doesn’t even need to think about what she has going on or check her schedule because she has no intention of actually meeting this guy, so she just says “Next Friday, perfect” to get this over with. Approach better & avoid these mistakes!

Girls Chase 🏃‍♀️💨

65,755 次观看 • 1 个月前

The Great Awakening “8 billion people are being controlled by 100 families.” “There's no such thing as a Democrat or Republican. The only thing that does exist, is a group of elite oligarchs that torture men, women, and children worldwide.” “They literally run us. They tell us what to do, hear, see, smell, taste, touch, feel, where we can go, where we can't go. They're running us. Governments are put in place to work for the people, but they got it flipped and they got us working for them. And telling us what they're gonna do to us if we don't listen to them, that's the opposite of what it's supposed to be. The reason why the world is today, why we have this boot on our neck, it's because of us. We're the problem. They're sharks. A shark smells blood, a shark attacks. A shark is gonna be a shark. How come we, as eight billion people, haven't stopped falling for these dividing conquer tactics and stopped fighting each other over the scraps and realized who the real enemy is? While we're fighting each other, they're just cutting up the pie and laughing at us. Left wing, right wing, all the same bird. There's no such thing as a Democrat or Republican. The only thing that does exist, like I say, is a group of elite oligarchs that torture men, women, and children worldwide. That exists. Democrat, Republican, doesn't exist.”

The Great Awakening “8 billion people are being controlled by 100 families.” “There's no such thing as a Democrat or Republican. The only thing that does exist, is a group of elite oligarchs that torture men, women, and children worldwide.” “They literally run us. They tell us what to do, hear, see, smell, taste, touch, feel, where we can go, where we can't go. They're running us. Governments are put in place to work for the people, but they got it flipped and they got us working for them. And telling us what they're gonna do to us if we don't listen to them, that's the opposite of what it's supposed to be. The reason why the world is today, why we have this boot on our neck, it's because of us. We're the problem. They're sharks. A shark smells blood, a shark attacks. A shark is gonna be a shark. How come we, as eight billion people, haven't stopped falling for these dividing conquer tactics and stopped fighting each other over the scraps and realized who the real enemy is? While we're fighting each other, they're just cutting up the pie and laughing at us. Left wing, right wing, all the same bird. There's no such thing as a Democrat or Republican. The only thing that does exist, like I say, is a group of elite oligarchs that torture men, women, and children worldwide. That exists. Democrat, Republican, doesn't exist.”

Wall Street Apes

1,487,427 次观看 • 2 年前

251118 | VIDEO #SAKURA ment at LE SSERAFIM TOUR 'EASY CRAZY HOT' Encore at Tokyo Dome DAY 1 🐱: Even when we were waiting in the back, we could still see everyone. At Saitama Super Arena, I already thought, “Wow, there are so many FEARNOT…”, but today, from the sides all the way to the top, the entire space was filled with FEARNOT. It really felt like this place belonged only to us and FEARNOT, and it made us feel like crying. 🐱: FEARNOT say to us, “Thank you for bringing us to Tokyo Dome,” but please allow me to say this as well: thank you, FEARNOT, for bringing us to Tokyo Dome. I’m truly grateful. 🐱: For me personally, this is my return to Tokyo Dome after 11 years… When I was 16, I never imagined that 11 years later, I would still be an idol, standing on this stage together with these new members in this way. But through today’s performance, I truly felt, “Ah… I’m really glad I continued being an idol.” 🐱: Being able to feel this way is entirely thanks to all of you. Whether you’ve supported me for a long time, or only got to know me recently, thank you so much for finding me and for liking me during my time as an idol. 🐱: We still have one more day tomorrow! Will you come again tomorrow? For those coming tomorrow, let’s have even more, more fun together. okay? 🐱: I was really, truly happy today. Thank you, everyone. #사쿠라 #SAKURA #ックラ #宮脇咲良 #르세라핌 #LE_SSERAFIM

251118 | VIDEO #SAKURA ment at LE SSERAFIM TOUR 'EASY CRAZY HOT' Encore at Tokyo Dome DAY 1 🐱: Even when we were waiting in the back, we could still see everyone. At Saitama Super Arena, I already thought, “Wow, there are so many FEARNOT…”, but today, from the sides all the way to the top, the entire space was filled with FEARNOT. It really felt like this place belonged only to us and FEARNOT, and it made us feel like crying. 🐱: FEARNOT say to us, “Thank you for bringing us to Tokyo Dome,” but please allow me to say this as well: thank you, FEARNOT, for bringing us to Tokyo Dome. I’m truly grateful. 🐱: For me personally, this is my return to Tokyo Dome after 11 years… When I was 16, I never imagined that 11 years later, I would still be an idol, standing on this stage together with these new members in this way. But through today’s performance, I truly felt, “Ah… I’m really glad I continued being an idol.” 🐱: Being able to feel this way is entirely thanks to all of you. Whether you’ve supported me for a long time, or only got to know me recently, thank you so much for finding me and for liking me during my time as an idol. 🐱: We still have one more day tomorrow! Will you come again tomorrow? For those coming tomorrow, let’s have even more, more fun together. okay? 🐱: I was really, truly happy today. Thank you, everyone. #사쿠라 #SAKURA #ックラ #宮脇咲良 #르세라핌 #LE_SSERAFIM

SAKURA ISLAND

61,355 次观看 • 8 个月前

43 Years Ago Today — On June 3, 1983, WarGames hit theaters and gave us one of the most chilling tech thrillers ever made. A curious kid hacks into a military supercomputer, starts a game of “Global Thermonuclear War,” and nearly triggers the real thing. Matthew Broderick, Ally Sheedy, and that unforgettable countdown… pure 80s perfection. Each year I ask Grok how long it would take for it to simulate the same scenario, last year it was about 10 minutes...with a special conditon, Grok emphasised each year... see below. This year, 2026 on the anniversary of the film, I asked Grok (xAI’s AI) the big question from the film: How long would it take a modern AI like Grok to simulate a full Global Thermonuclear War scenario? Answer: Seconds for high-level insights, minutes for detailed probabilistic simulations — a massive leap from WOPR’s 26+ hours in 1983. Computing power and AI have come that far! Each year Grok after my asking this, Grok concludes with... "Yet the movie’s ultimate lesson remains as true today as it was then: “The only winning move is not to play.”" At least we know Grok won't be starting WWIII... I have seen other Ai's coming out with chilling answers, which don't end well for us... us being humans. Wargames the movie is a rollercoaster ride, that still holds up today. Who else still loves this film?

43 Years Ago Today — On June 3, 1983, WarGames hit theaters and gave us one of the most chilling tech thrillers ever made. A curious kid hacks into a military supercomputer, starts a game of “Global Thermonuclear War,” and nearly triggers the real thing. Matthew Broderick, Ally Sheedy, and that unforgettable countdown… pure 80s perfection. Each year I ask Grok how long it would take for it to simulate the same scenario, last year it was about 10 minutes...with a special conditon, Grok emphasised each year... see below. This year, 2026 on the anniversary of the film, I asked Grok (xAI’s AI) the big question from the film: How long would it take a modern AI like Grok to simulate a full Global Thermonuclear War scenario? Answer: Seconds for high-level insights, minutes for detailed probabilistic simulations — a massive leap from WOPR’s 26+ hours in 1983. Computing power and AI have come that far! Each year Grok after my asking this, Grok concludes with... "Yet the movie’s ultimate lesson remains as true today as it was then: “The only winning move is not to play.”" At least we know Grok won't be starting WWIII... I have seen other Ai's coming out with chilling answers, which don't end well for us... us being humans. Wargames the movie is a rollercoaster ride, that still holds up today. Who else still loves this film?

Commodore Computer Museum 🕹

16,892 次观看 • 1 个月前

I’m 43 years old today. I’m celebrating life and how far I have come. Countless beatings, arrests, torture, been shot, and endless trolling, yet I’m still here. The sacrifice was not in vain. Together, we have made a real difference in our fight for a better Kenya. Today, I’m launching a fundraiser to fuel the next chapter of this journey. Because if we want a Kenya that truly belongs to us, we must fund it ourselves. No billionaires. No hidden deals. Just ordinary Kenyans contributing what they can. #43forBonnie is now open. Give any amount that contains 43, 43 bob, 143, 430, 4,300, or even more if you can. Challenge 3 friends. Post it. Let the world see. Every single shilling contributed will be published and fully accounted for publicly, while respecting the privacy of those who request anonymity. This is our presidential campaign. Drop your contribution below and tag 3 people. Let’s do this! #MwanzoMpyaKE #LoveAndCourageKE #PendaKenya #43forbonnie

I’m 43 years old today. I’m celebrating life and how far I have come. Countless beatings, arrests, torture, been shot, and endless trolling, yet I’m still here. The sacrifice was not in vain. Together, we have made a real difference in our fight for a better Kenya. Today, I’m launching a fundraiser to fuel the next chapter of this journey. Because if we want a Kenya that truly belongs to us, we must fund it ourselves. No billionaires. No hidden deals. Just ordinary Kenyans contributing what they can. #43forBonnie is now open. Give any amount that contains 43, 43 bob, 143, 430, 4,300, or even more if you can. Challenge 3 friends. Post it. Let the world see. Every single shilling contributed will be published and fully accounted for publicly, while respecting the privacy of those who request anonymity. This is our presidential campaign. Drop your contribution below and tag 3 people. Let’s do this! #MwanzoMpyaKE #LoveAndCourageKE #PendaKenya #43forbonnie

The People’s President

19,369 次观看 • 10 天前

THEY SOLD OUR CHILDREN FOR VOTES. THEN CALLED US RACIST AND FAR RIGHT FOR TELLING THE TRUTH. There comes a moment in this fight when you see the system for what it really is. Not broken. Not failed. Designed to protect itself at the expense of children. You realise they didn't just ignore the abuse, they enabled it. They didn't just fail the victims, they betrayed them. And when communities stood up and said "enough," they weren't listened to. They were attacked and persecuted. Called far-right. Called racist. Called extremist. All for the crime of caring that children were being dragged from school gates, raped, and trafficked while those paid to protect them looked the other way. This was never a scandal. This was policy. Industrial-scale abuse. Sanctioned by silence. Protected by power. Enabled by cowards in every institution that claims to serve the public. For years, they tried to break people like me. Demonise us. Discredit us. Destroy us. Because we refused to be silence by up about what they were covering up. But here's what they never understood: you can't silence the truth forever. And now we're at the endgame. Either they succeed in whitewashing the National Inquiry or politicians start going to prison. There's no middle ground anymore. No further inquiries. No additional reviews. No more "lessons learned." Just accountability. Finally. Watch my latest with James English. Watch it. Share it. Know we're not backing down. This isn't just a conversation. It's evidence. It's testimony. It's proof that we told the truth while they told lies. The cover-up is over. The reckoning has begun. _________ We uncovered the evidence. We proved these were racially motivated crimes. We showed how Labour Party politicians sold children for votes. We exposed every layer of the cover-up. And we forced the national inquiry into the Pakistani Rape Gangs. We got this far because we refused to stay silent. No matter what they did to us. ❌ First, they called us racists and far-right. ❌ Then they encouraged Pakistani gangsters and Islamists to attack us. ❌ When this failed, they launched Operation Hexagon and sent the police after us. ❌ My home was repeatedly dawn-raided by gangs of police officers. ❌ Both local and national newspapers published lies about me to try and smear me. ❌ Senior prosecutors in the CPS even fabricated charges desperate to silence our demands for justice. I spent 3 years on bail as case after case against me collapsed in court. My mother died before I was able to clear my name. Now the truth is out. In detail. The Pakistani Rape Gangs are real. And their victims, little White girls, number in the hundreds of thousands. I am Raja Miah. For six years, I led a small team that exposed how politicians protected the rape gangs. So now the question is: will you stand with me and help make sure the National Inquiry we have all fought for is not a whitewash? This isn’t just about justice for the past. It’s about stopping it from ever happening again. If we act together, we can hold every complicit official to account. We can tear down the system that protected them. And yes, if we push far enough, this government could fall and politicians will go to prison. If there’s even a one-in-a-million chance of achieving that, wouldn’t you take ten seconds to back the campaign that forced this inquiry into existence? 🔴 Subscribe to my newsletter – it’s free. Or support the work for just 75p a week (£3/month or £30/year): 👉 This is the fight. This is the moment. There will not be another. 🔴 Prefer a one-off contribution? 👉 👉 No corporate sponsors. No party machine. Just you and thousands of ordinary people who know what’s at stake. We’ve come this far. Help finish it. Without your support, they will win. 👉 - Raja Miah MBE

THEY SOLD OUR CHILDREN FOR VOTES. THEN CALLED US RACIST AND FAR RIGHT FOR TELLING THE TRUTH. There comes a moment in this fight when you see the system for what it really is. Not broken. Not failed. Designed to protect itself at the expense of children. You realise they didn't just ignore the abuse, they enabled it. They didn't just fail the victims, they betrayed them. And when communities stood up and said "enough," they weren't listened to. They were attacked and persecuted. Called far-right. Called racist. Called extremist. All for the crime of caring that children were being dragged from school gates, raped, and trafficked while those paid to protect them looked the other way. This was never a scandal. This was policy. Industrial-scale abuse. Sanctioned by silence. Protected by power. Enabled by cowards in every institution that claims to serve the public. For years, they tried to break people like me. Demonise us. Discredit us. Destroy us. Because we refused to be silence by up about what they were covering up. But here's what they never understood: you can't silence the truth forever. And now we're at the endgame. Either they succeed in whitewashing the National Inquiry or politicians start going to prison. There's no middle ground anymore. No further inquiries. No additional reviews. No more "lessons learned." Just accountability. Finally. Watch my latest with James English. Watch it. Share it. Know we're not backing down. This isn't just a conversation. It's evidence. It's testimony. It's proof that we told the truth while they told lies. The cover-up is over. The reckoning has begun. _________ We uncovered the evidence. We proved these were racially motivated crimes. We showed how Labour Party politicians sold children for votes. We exposed every layer of the cover-up. And we forced the national inquiry into the Pakistani Rape Gangs. We got this far because we refused to stay silent. No matter what they did to us. ❌ First, they called us racists and far-right. ❌ Then they encouraged Pakistani gangsters and Islamists to attack us. ❌ When this failed, they launched Operation Hexagon and sent the police after us. ❌ My home was repeatedly dawn-raided by gangs of police officers. ❌ Both local and national newspapers published lies about me to try and smear me. ❌ Senior prosecutors in the CPS even fabricated charges desperate to silence our demands for justice. I spent 3 years on bail as case after case against me collapsed in court. My mother died before I was able to clear my name. Now the truth is out. In detail. The Pakistani Rape Gangs are real. And their victims, little White girls, number in the hundreds of thousands. I am Raja Miah. For six years, I led a small team that exposed how politicians protected the rape gangs. So now the question is: will you stand with me and help make sure the National Inquiry we have all fought for is not a whitewash? This isn’t just about justice for the past. It’s about stopping it from ever happening again. If we act together, we can hold every complicit official to account. We can tear down the system that protected them. And yes, if we push far enough, this government could fall and politicians will go to prison. If there’s even a one-in-a-million chance of achieving that, wouldn’t you take ten seconds to back the campaign that forced this inquiry into existence? 🔴 Subscribe to my newsletter – it’s free. Or support the work for just 75p a week (£3/month or £30/year): 👉 This is the fight. This is the moment. There will not be another. 🔴 Prefer a one-off contribution? 👉 👉 No corporate sponsors. No party machine. Just you and thousands of ordinary people who know what’s at stake. We’ve come this far. Help finish it. Without your support, they will win. 👉 - Raja Miah MBE

Raja Miah

47,851 次观看 • 1 年前

🤖🔬 Can AI actually do science end-to-end? 🧠📈 And how would we know when it matches, or surpasses, humans? ⚡🧪 AI is rapidly automating scientific discovery, but benchmarking full-cycle discovery, from 💡 ideation → 🧑‍💻 execution → 📊 conclusions, remains unsolved: 🧐🧐🧐 ❌🛠️ Open-ended discovery → manual validation (costly, unscalable) ❌📏 Metric-driven benchmarks (e.g., MLE-Bench) → convenient but narrow (is higher accuracy really enough?) ❌🤖⚖️ LLM-as-judge → useful, but fundamentally risky if used alone 🔥🚀 Introducing FIRE-Bench🔥: Fullcycle Insight Rediscovery Evaluation 👉🌐 📚✨ A benchmark that turns fresh, human-verified insights from recent 🏆 NeurIPS / ICLR / ICML papers into masked, end-to-end discovery challenges 🧩 🌍🔐 Constrained open-ended discovery–backed by ground truth. 📌 Key takeaways: 1⃣ 📖🧱 Reference-based evaluation still matters: constrained LLM judging helps, but human-grounded references remain essential until agents can consistently match human conclusions 2⃣ 🏆🧠 Expert-validated ground truth: all tasks come from recent NeurIPS / ICLR / ICML papers, with contamination carefully controlled 3⃣ 🔁🎭 Rediscovery, not reproduction: original 🧪 methods, 📊 experiments, 💻 implementations, and 📈 analyses are fully masked to create real discovery challenges 🔑 Key empirical findings: 💡 The "Science Gap" is Real: Even the best setup (Claude Code + Sonnet-4) caps out at an F1 score of 46.7. On hard tasks, agents struggle to break 30 💡 Success is a "Lottery": Performance has incredibly high variance. Reliability is a major unsolved issue. 💡 Coding is no longer the bottleneck; high-level reasoning and analysis are: ~74% of errors stem from flawed planning, not coding ⚙️ How it works: 🔹 Research-Problem Trees: We parse papers into trees (from broad roots to concrete leaves). This allows us to select intermediate nodes that perfectly balance open-ended exploration with verifiable ground truth. 🔹 Claim-Level Evaluation: We match AI conclusions against human conclusions using granular claim decomposition (F1 score). 🔹 Creativity Check: We score false positives to see if agents are finding novel truths (Spoiler🚨: they aren’t creative yet). 🔹 New Diagnostic Taxonomy: failures traced across four stages: 🧠 Planning → 🛠️ Implementation → ▶️ Execution → 🧾 Conclusion 🔹 Additional Analyses: cost efficiency, contamination checks, and more. 👀 The Future: 🚀 Live-FIRE-Bench: a live, continuously updated FIRE-Bench to track real-time progress on the latest research (Newest LLMs should be benchmarked with the newest research) 🚀 Stronger scaffolding (search + planning + coding) 🧠🧰 and converting FIRE-Bench into interactive environments for training research agents 🚀 Toward real creativity: We want better systems that can produce genuinely novel conclusions toward creativity 🎨⏳ 🚀 Better systems 🧠✨ and better benchmarks 📏 must co-evolve 🔄 over time 📜🎥 Paper, video, demo, and research trees: 👉🌐 #AI 🤖 #MachineLearning 📚 #AI4Science 🔬 #LLMs 🧠 #Research 🧪 #AgenticAI 🚀 #FireBench 🔥

🤖🔬 Can AI actually do science end-to-end? 🧠📈 And how would we know when it matches, or surpasses, humans? ⚡🧪 AI is rapidly automating scientific discovery, but benchmarking full-cycle discovery, from 💡 ideation → 🧑‍💻 execution → 📊 conclusions, remains unsolved: 🧐🧐🧐 ❌🛠️ Open-ended discovery → manual validation (costly, unscalable) ❌📏 Metric-driven benchmarks (e.g., MLE-Bench) → convenient but narrow (is higher accuracy really enough?) ❌🤖⚖️ LLM-as-judge → useful, but fundamentally risky if used alone 🔥🚀 Introducing FIRE-Bench🔥: Fullcycle Insight Rediscovery Evaluation 👉🌐 📚✨ A benchmark that turns fresh, human-verified insights from recent 🏆 NeurIPS / ICLR / ICML papers into masked, end-to-end discovery challenges 🧩 🌍🔐 Constrained open-ended discovery–backed by ground truth. 📌 Key takeaways: 1⃣ 📖🧱 Reference-based evaluation still matters: constrained LLM judging helps, but human-grounded references remain essential until agents can consistently match human conclusions 2⃣ 🏆🧠 Expert-validated ground truth: all tasks come from recent NeurIPS / ICLR / ICML papers, with contamination carefully controlled 3⃣ 🔁🎭 Rediscovery, not reproduction: original 🧪 methods, 📊 experiments, 💻 implementations, and 📈 analyses are fully masked to create real discovery challenges 🔑 Key empirical findings: 💡 The "Science Gap" is Real: Even the best setup (Claude Code + Sonnet-4) caps out at an F1 score of 46.7. On hard tasks, agents struggle to break 30 💡 Success is a "Lottery": Performance has incredibly high variance. Reliability is a major unsolved issue. 💡 Coding is no longer the bottleneck; high-level reasoning and analysis are: ~74% of errors stem from flawed planning, not coding ⚙️ How it works: 🔹 Research-Problem Trees: We parse papers into trees (from broad roots to concrete leaves). This allows us to select intermediate nodes that perfectly balance open-ended exploration with verifiable ground truth. 🔹 Claim-Level Evaluation: We match AI conclusions against human conclusions using granular claim decomposition (F1 score). 🔹 Creativity Check: We score false positives to see if agents are finding novel truths (Spoiler🚨: they aren’t creative yet). 🔹 New Diagnostic Taxonomy: failures traced across four stages: 🧠 Planning → 🛠️ Implementation → ▶️ Execution → 🧾 Conclusion 🔹 Additional Analyses: cost efficiency, contamination checks, and more. 👀 The Future: 🚀 Live-FIRE-Bench: a live, continuously updated FIRE-Bench to track real-time progress on the latest research (Newest LLMs should be benchmarked with the newest research) 🚀 Stronger scaffolding (search + planning + coding) 🧠🧰 and converting FIRE-Bench into interactive environments for training research agents 🚀 Toward real creativity: We want better systems that can produce genuinely novel conclusions toward creativity 🎨⏳ 🚀 Better systems 🧠✨ and better benchmarks 📏 must co-evolve 🔄 over time 📜🎥 Paper, video, demo, and research trees: 👉🌐 #AI 🤖 #MachineLearning 📚 #AI4Science 🔬 #LLMs 🧠 #Research 🧪 #AgenticAI 🚀 #FireBench 🔥

Zhen Wang

13,450 次观看 • 5 个月前

Talking about #TicketToHeaven #GMMTVLiveHouse #LOLFanFest2026 #GeminiFourth #เจมีไนน์โฟร์ท 4️⃣: today we still havent gone on stage yet, but we’re about to go perform and sing Ticket To Heaven’s OST series for everyone to listen to. we’re excited too. and its the first live singing performance after it was released 🥹🤍 🎙️: there are also Ticket To Heaven’s first EP 4️⃣: yes yes!! it was sold at LOL’s day two, right? ♊️: yes 4️⃣: as soon as the ticket sales opened it got sold out. thank you so much to all the fans. we’re really happy that everyone gave such a great respons ♊️: lets watch it together. on this 30th come watch together. this is our first ever first EP. we’ve never done a first EP before... so this is it. everyone will probably get to listen to our duet song in this OST this time. and lets watch it together and see how it turns out bc we’re also excited and nervous about how the story will come out. we’re excited too. please support every episode of Ticket to Heaven. please support us🤍 4️⃣: please support GeminiFourth too kub mommy kub.. please support us too 🥹🙏🏻

Talking about #TicketToHeaven #GMMTVLiveHouse #LOLFanFest2026 #GeminiFourth #เจมีไนน์โฟร์ท 4️⃣: today we still havent gone on stage yet, but we’re about to go perform and sing Ticket To Heaven’s OST series for everyone to listen to. we’re excited too. and its the first live singing performance after it was released 🥹🤍 🎙️: there are also Ticket To Heaven’s first EP 4️⃣: yes yes!! it was sold at LOL’s day two, right? ♊️: yes 4️⃣: as soon as the ticket sales opened it got sold out. thank you so much to all the fans. we’re really happy that everyone gave such a great respons ♊️: lets watch it together. on this 30th come watch together. this is our first ever first EP. we’ve never done a first EP before... so this is it. everyone will probably get to listen to our duet song in this OST this time. and lets watch it together and see how it turns out bc we’re also excited and nervous about how the story will come out. we’re excited too. please support every episode of Ticket to Heaven. please support us🤍 4️⃣: please support GeminiFourth too kub mommy kub.. please support us too 🥹🙏🏻

𝗚𝗲𝗺 𝗙𝗼𝗿 𝗠𝘆 𝗙𝗼𝘂𝗿𝘁𝗵🌻

11,944 次观看 • 1 个月前

LYKN RISE AT DUSK #LYKNDuskAndDawnConcertD1 #hongshihoshi hong ending ment 💌 🍦: as artists like us, there’s probably not much we can give you besides happiness and memories from a certain period of your life. no matter how many years we’ll be around, or how many years you’ll be with us, i just hope that this becomes one of those good times , a time you can look back on and think, “damn, it was so awesome following lykn. it was amazing watching them sing and dance with all their heart.” i kind of hope that someday, you’ll tell your grandchild, like, “back in my day, i used to listen to lykn, they were so cool, kid. they even had a concert at impact arena, and i went to see it. it was spectacular.” people like the five of us…this is probably all we can give you. we’ll be here as long as everyone still remembers our names. if one day, no one in the world remembers us anymore, that’s fine too. maybe our names will still be in some book, you know? like in history, and if it ever gets to that point, that just means we were really damn awesome, right? i might sound all emotional, but honestly, before coming to this concert, i cried so much. it was such a stressful concert, i have to say, this venue is huge. i was so nervous when i came for the first blocking rehearsal here. you can really feel the weight of the word “impact” it’s massive. and looking back, i think everyone who’s ever performed here probably felt the same. because when we were practicing in the rehearsal room, it was way easier than being here, this stage is huge, we have to run everywhere. but the best part is that no matter where i look, i see all of you smiling, screaming, singing along with us. thank you so, so much for choosing to come and watch the lykn concert today, and tomorrow too. we’re so, so, so happy to the point where it’s hard to even put into words. so all we can do is express it through our performance. we gave it our everything, and we’re so grateful that you came to see us today. we love you all so much, and we’re really really happy to have met you, whether you’re here or watching from home. i hope we’ll remember each other for a long, long time. because when i’m 80, i’ll probably still be talking about this.

LYKN RISE AT DUSK #LYKNDuskAndDawnConcertD1 #hongshihoshi hong ending ment 💌 🍦: as artists like us, there’s probably not much we can give you besides happiness and memories from a certain period of your life. no matter how many years we’ll be around, or how many years you’ll be with us, i just hope that this becomes one of those good times , a time you can look back on and think, “damn, it was so awesome following lykn. it was amazing watching them sing and dance with all their heart.” i kind of hope that someday, you’ll tell your grandchild, like, “back in my day, i used to listen to lykn, they were so cool, kid. they even had a concert at impact arena, and i went to see it. it was spectacular.” people like the five of us…this is probably all we can give you. we’ll be here as long as everyone still remembers our names. if one day, no one in the world remembers us anymore, that’s fine too. maybe our names will still be in some book, you know? like in history, and if it ever gets to that point, that just means we were really damn awesome, right? i might sound all emotional, but honestly, before coming to this concert, i cried so much. it was such a stressful concert, i have to say, this venue is huge. i was so nervous when i came for the first blocking rehearsal here. you can really feel the weight of the word “impact” it’s massive. and looking back, i think everyone who’s ever performed here probably felt the same. because when we were practicing in the rehearsal room, it was way easier than being here, this stage is huge, we have to run everywhere. but the best part is that no matter where i look, i see all of you smiling, screaming, singing along with us. thank you so, so much for choosing to come and watch the lykn concert today, and tomorrow too. we’re so, so, so happy to the point where it’s hard to even put into words. so all we can do is express it through our performance. we gave it our everything, and we’re so grateful that you came to see us today. we love you all so much, and we’re really really happy to have met you, whether you’re here or watching from home. i hope we’ll remember each other for a long, long time. because when i’m 80, i’ll probably still be talking about this.

sha 🍓

32,975 次观看 • 9 个月前

🚨JOHNNY'S LOCKER" IS EMPTY: The Charity Fraud That Proves Erika Kirk Is A Pathological Liar —How Erika Kirk Used a Tech Bro to Fake a "Dying Hero" for Donations 💸😤 We thought we’d seen it all, but this is a new low. Erika Kirk has been raising money for her charity offshoot, "Johnny's Locker," claiming it was inspired by the courage of a young "survivor" and "hero" named Johnny Bryan. She has solicited donations based on this young man's story of "steadfast faith," even featuring photos of him in her promotional videos. BUT WE FOUND HIM. AND IT’S ALL A LIE. After a deep dive investigation using facial recognition and reverse image searches, we have discovered that "Johnny Bryan" DOES NOT EXIST. THE RECEIPT BREAKDOWN: 🧵👇 1. THE FAKE PHOTOS (THE CATFISH): The man in Erika’s charity photos is NOT a childhood cancer survivor named Johnny Bryan. He is Jon Erik Hernandez, a Stanford University alum and development operations professional working in Silicon Valley. The Evidence: We matched the photos from her charity video directly to Jon Erik Hernandez’s LinkedIn profile. The Question: Did Erika hire an actor? Did she rope a friend into her scam to pose for these pictures? Or did she just steal a stranger's face to sell a sob story? 2. THE STOLEN NAME: So, where did the name "Johnny Bryan" come from? Erika’s family has deep ties to Chicago. Our digging found a real John Frederick "Johnny" Bryan—a former NFL player for the Chicago Bears and Cardinals who died in 1966. It appears Erika stole the name of a deceased Chicago sports figure, attached it to a fake backstory, and slapped Jon Erik Hernandez’s face on it to create a "hero" for her charity. THE CONCLUSION: The entire premise of "Johnny's Locker" appears to be a fraud built on false pretenses. ❌ Fake Name. ❌ Fake Backstory. ❌ Stolen Photos. If she will lie about a charity for children in hospitals, what won't she lie about? Everything about her life is a performance. This isn't charity; it's a scam. Shoutout to the amazing MIA who helped me with this story. FOLLOW Her! Tag Candace Owens and RT to EXPOSE this Fraud!📢👇

Project Constitution

73,492 次观看 • 5 个月前