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He couldn't hold it and shot a huge load.🤩🤩👅 #bbcflash #bbcflashing #dickflash #publicflash #publiccum #cockflash #publicnude #public_nudity #nudedick #publicdickflash #mallflash #mallflashtv

Brasil Dick Flash X

34,534 subscribers

73,192 просмотров • 3 месяцев назад •via X (Twitter)

NSFW #bbcflash #bbcflashing #dickflash #publicflash #publiccum #cockflash #publicnude #public_nudity #nudedick #publicdickflash #mallflash #mallflashtv

Anya Rossi• Live Now

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Back in March, Fede Gomez had hit rock bottom. He was on a huge losing streak and in a very dark place mentally, opening up in an emotional letter to his fans (posted below) about how he was not only considering retiring from tennis, but had even reached the point of contemplating suicide. Today, he just made the US Open main draw for the first time in his career. He came into Queens with major fitness and health concerns, having not played in over a month after being forced to retire with an injury vs Pavlovic. Qualifying for the main draw was a long shot, to say the least. In Round 1, he shocked Klein as a +550 underdog. In Round 2, he pulled another upset against rising star Cina as a +240 dog. In Round 3, he was down a set and 0-4 to Grenier The feel-good story of the tournament had almost surely come to a painful end. But Fede fought. With his back against the wall, he stormed back to win five of the next six games, miraculously getting the match back on serve Grenier managed to stop the bleeding at 5-5 and again put Gomez right up against it, needing a hold to keep his US Open dream alive He stared down match point at 5-6 30-40, one false move away from going home But Fede fought. And fought. Until he found himself celebrating in front of the frenzied crowd on Court 10, taking it all in after having completed the unlikeliest of comebacks to cap off one of the most magical qualifying runs you’ll ever see Look how much it means. This was so much more than just a match It was undeniable proof of why you never, EVER give up. Tennis is the greatest sport in the world 🥲

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I revived my 14-year-old dog with peptides. 6 months ago, he was slowing down fast. He was limping, achy, getting up slowly, and couldn't jump on the couch. We honestly didn't know if we had 6 months left with him. Today, our boy is running, jumping on the patio, going on long walks again, and even his hearing is back. I approached his protocol the same way I'd approach mine. - We started with BPC-157 and TB-500. 1-2 mg a day, 5 days on, 2 days off, injected basically the same way you'd inject a human. Within a couple of weeks, we saw less limping, less stiffness, he was moving better, etc. - Then we ran his labs the same way I run mine. Everything looked good except some minor kidney markets, and at his age kidney issues can spiral into problems dogs don't come back from. We addressed this with a bioregulator stack, again the same ones I use. - Then we put him on TRT. We're all aware of what happens to men when testosterone tanks with age. Now consider that we neuter our dogs, cut off their testosterone production entirely, and never think about it again. We put our boy on testosterone and the change was immediate. Within days of the first shot he became a different dog. We started with one shot a week, but just like in humans, by day 5 or 6 the levels drop and you get peaks and troughs. So we split it into two shots a week: Tuesday and Friday. We started conservatively, around 20mg per shot, and titrated up from there based on how he responded and how his labs looked. We landed at about 60mg total per week for a 70 pound dog, keeping a close eye on labs the whole way. That made a huge difference. Shot day is like a revival for him. ... And it's not just us, in fact other families are running the same protocol and seeing similar results. 6 months ago we were counting the time we had left with him. My kids were horrified by the thought that he would no longer be there as they grew up with him as their full-time guardian. Now I genuinely believe we have another 3 years. If you have a dog, understand that he's aging the same way you are. He needs help, but he can't do the research... you can! And after seeing what this protocol did for him, I knew other dog owners deserved access to it too, so check the tweet below.

I revived my 14-year-old dog with peptides. 6 months ago, he was slowing down fast. He was limping, achy, getting up slowly, and couldn't jump on the couch. We honestly didn't know if we had 6 months left with him. Today, our boy is running, jumping on the patio, going on long walks again, and even his hearing is back. I approached his protocol the same way I'd approach mine. - We started with BPC-157 and TB-500. 1-2 mg a day, 5 days on, 2 days off, injected basically the same way you'd inject a human. Within a couple of weeks, we saw less limping, less stiffness, he was moving better, etc. - Then we ran his labs the same way I run mine. Everything looked good except some minor kidney markets, and at his age kidney issues can spiral into problems dogs don't come back from. We addressed this with a bioregulator stack, again the same ones I use. - Then we put him on TRT. We're all aware of what happens to men when testosterone tanks with age. Now consider that we neuter our dogs, cut off their testosterone production entirely, and never think about it again. We put our boy on testosterone and the change was immediate. Within days of the first shot he became a different dog. We started with one shot a week, but just like in humans, by day 5 or 6 the levels drop and you get peaks and troughs. So we split it into two shots a week: Tuesday and Friday. We started conservatively, around 20mg per shot, and titrated up from there based on how he responded and how his labs looked. We landed at about 60mg total per week for a 70 pound dog, keeping a close eye on labs the whole way. That made a huge difference. Shot day is like a revival for him. ... And it's not just us, in fact other families are running the same protocol and seeing similar results. 6 months ago we were counting the time we had left with him. My kids were horrified by the thought that he would no longer be there as they grew up with him as their full-time guardian. Now I genuinely believe we have another 3 years. If you have a dog, understand that he's aging the same way you are. He needs help, but he can't do the research... you can! And after seeing what this protocol did for him, I knew other dog owners deserved access to it too, so check the tweet below.

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ONCE UPON A TIME IN FRONT OF #msdhoni7 's HOUSE GATE IN RANCHI : This is my little one Naina & her cousin brother Golu on a trip to Ranchi with their grandparents ! And this is the GATE OF Thala- Mahendra Singh Dhoni This is what they did in front of his gate to meet him - spoke to the watchman 🤦🏻🤦🏻 gave him my card - said I am also a minister .. blah blah blah 🤣 obviously it didn't work so then they called me to ask for my help - their name-throwing was hilarious A mentioned every name that they thought I I ew very well to get his number 🤩 when I told them it's impossible - very few has his number & he seldom uses a phone 🤣 Result: I was brutally bullied & trolled with messages & voice notes for being being *A DUMBO* 😢😢😢🤣🤣 but it's heartwarming to see how much love this Man has earned across generations... Take a bow & honestly, I felt sad I couldn't & couldn't have done anything !!! 🤣 #thala #thalaforareason #chennaisuperkings #trendingpost

ONCE UPON A TIME IN FRONT OF #msdhoni7 's HOUSE GATE IN RANCHI : This is my little one Naina & her cousin brother Golu on a trip to Ranchi with their grandparents ! And this is the GATE OF Thala- Mahendra Singh Dhoni This is what they did in front of his gate to meet him - spoke to the watchman 🤦🏻🤦🏻 gave him my card - said I am also a minister .. blah blah blah 🤣 obviously it didn't work so then they called me to ask for my help - their name-throwing was hilarious A mentioned every name that they thought I I ew very well to get his number 🤩 when I told them it's impossible - very few has his number & he seldom uses a phone 🤣 Result: I was brutally bullied & trolled with messages & voice notes for being being A DUMBO 😢😢😢🤣🤣 but it's heartwarming to see how much love this Man has earned across generations... Take a bow & honestly, I felt sad I couldn't & couldn't have done anything !!! 🤣 #thala #thalaforareason #chennaisuperkings #trendingpost

Babul Supriyo

288,647 просмотров • 7 месяцев назад

This Chinese developer linked two $2,999 NVIDIA DGX Sparks into one box and runs the full Qwen3-235B at home, after dropping his $1,999-a-month cloud bill to zero. He wired 2 small boxes into a single computer, split a giant 235-billion-parameter model in half between them, and serves it across his own network at about 10 tokens a second, with no internet, no cloud, right there on the desk. No data center, no thousand-dollar graphics cards, no monthly cloud bill. Just him, 2 gold boxes the size of a sandwich, one cable between them, and 1 power strip. And here is the whole payoff. He used to pay the cloud $1,999 a month for the same model, and the meter ticked on every request. Now he paid $5,998 once for 2 boxes, they covered their cost in 3 months, and after that he sends as many requests as he wants for free, only electricity. The two Sparks talk over one fast cable, each holds 128GB of memory, and together they carry the whole model, about 73GB loaded per box, with the chip inside pinned near the limit at 96%. Both boxes work as one and keep trading data over the cable, with no cloud in the loop and no single word leaking out. The ready model sits on one local address, and any app on his network calls it as easily as ChatGPT. And here is how he described, in plain words, what this pair of boxes does: "this is a pair of boxes that holds the huge Qwen3-235B model and serves it to one network. the model is split in half, and each box owns its half. parts: // Box 1 (holds the first half of the model and starts the answer fast, the first word appears in under a second) // Box 2 (holds the second half and writes out the rest, about 10 tokens a second) // Cable (connects the 2 boxes and moves data between them on every step, with no lag) // Address (one local address where any app sends its request, like to a cloud model) // Test (a script that runs big prompts through and measures speed and delays) // Monitor (checks temperature, power draw, and load on both boxes every 2 seconds). the model never goes to the cloud. he only steps in when a box runs hotter than 80 degrees or the cable between them starts dropping data." So the system knows exactly what it is, what it is for, and where its limits are. It knows it has to hold the whole huge model across 2 boxes on its own. It knows it has to answer every request locally, with no meter, no limits, and no internet. It knows the human is only needed when a box overheats or the link between them stalls. → The setup runs around the clock on 2 boxes, each pulling under 60 watts → However many requests he sends, the monthly bill is $0, only electricity → The first box starts the answer in under a second → The second writes text at about 10 tokens a second → One request at a time: 838 tokens in 85 seconds, first word in 0.8s → Two requests at once: 697 tokens in 108 seconds, first word in 0.7s → Both boxes sit at 96% load and warm up to 76-78 degrees And only when a chip in a box runs hotter than 80 degrees or the cable between the 2 Sparks drops data does the system call the owner. And when he himself is out on a run or in a coffee shop, he still reaches his own model at home from his phone: sends a big prompt to the local Qwen3-235B, gets the full answer back in under a minute and a half, with no token meter ticking and no limit to hit. Here is what the test shows on his screen during one of the night runs: "one request at a time: 838 tokens in 84.9 seconds, first word in 0.8s, then 0.1s per token." "two requests at once: 697 tokens in 107.6 seconds, first word in 0.7s, then 0.15s per token." "Box 1: chip at 96% load, 76 degrees, 56 watts, 73GB used in memory." "Box 2: chip at 96% load, 78 degrees, 56 watts, the Qwen3-235B model fully loaded." And while everyone around is paying for AI by the month and bumping into limits, his top-tier model just sits on the desk and works as much as he wants: his own little power plant instead of a forever meter. He has no server rack of his own and no cloud account behind it. Just 2 DGX Spark boxes on a desk, one model split in half between them, one local address, and a folder of prompts next to it. Out of everything I have seen this year, this is the cleanest way to stop paying for AI: $5,998 of hardware on the desk once, $0 a month to the cloud, unlimited forever, and between them 2 gold boxes, 1 cable, and the full Qwen3-235B answering at home with no internet.

This Chinese developer linked two $2,999 NVIDIA DGX Sparks into one box and runs the full Qwen3-235B at home, after dropping his $1,999-a-month cloud bill to zero. He wired 2 small boxes into a single computer, split a giant 235-billion-parameter model in half between them, and serves it across his own network at about 10 tokens a second, with no internet, no cloud, right there on the desk. No data center, no thousand-dollar graphics cards, no monthly cloud bill. Just him, 2 gold boxes the size of a sandwich, one cable between them, and 1 power strip. And here is the whole payoff. He used to pay the cloud $1,999 a month for the same model, and the meter ticked on every request. Now he paid $5,998 once for 2 boxes, they covered their cost in 3 months, and after that he sends as many requests as he wants for free, only electricity. The two Sparks talk over one fast cable, each holds 128GB of memory, and together they carry the whole model, about 73GB loaded per box, with the chip inside pinned near the limit at 96%. Both boxes work as one and keep trading data over the cable, with no cloud in the loop and no single word leaking out. The ready model sits on one local address, and any app on his network calls it as easily as ChatGPT. And here is how he described, in plain words, what this pair of boxes does: "this is a pair of boxes that holds the huge Qwen3-235B model and serves it to one network. the model is split in half, and each box owns its half. parts: // Box 1 (holds the first half of the model and starts the answer fast, the first word appears in under a second) // Box 2 (holds the second half and writes out the rest, about 10 tokens a second) // Cable (connects the 2 boxes and moves data between them on every step, with no lag) // Address (one local address where any app sends its request, like to a cloud model) // Test (a script that runs big prompts through and measures speed and delays) // Monitor (checks temperature, power draw, and load on both boxes every 2 seconds). the model never goes to the cloud. he only steps in when a box runs hotter than 80 degrees or the cable between them starts dropping data." So the system knows exactly what it is, what it is for, and where its limits are. It knows it has to hold the whole huge model across 2 boxes on its own. It knows it has to answer every request locally, with no meter, no limits, and no internet. It knows the human is only needed when a box overheats or the link between them stalls. → The setup runs around the clock on 2 boxes, each pulling under 60 watts → However many requests he sends, the monthly bill is $0, only electricity → The first box starts the answer in under a second → The second writes text at about 10 tokens a second → One request at a time: 838 tokens in 85 seconds, first word in 0.8s → Two requests at once: 697 tokens in 108 seconds, first word in 0.7s → Both boxes sit at 96% load and warm up to 76-78 degrees And only when a chip in a box runs hotter than 80 degrees or the cable between the 2 Sparks drops data does the system call the owner. And when he himself is out on a run or in a coffee shop, he still reaches his own model at home from his phone: sends a big prompt to the local Qwen3-235B, gets the full answer back in under a minute and a half, with no token meter ticking and no limit to hit. Here is what the test shows on his screen during one of the night runs: "one request at a time: 838 tokens in 84.9 seconds, first word in 0.8s, then 0.1s per token." "two requests at once: 697 tokens in 107.6 seconds, first word in 0.7s, then 0.15s per token." "Box 1: chip at 96% load, 76 degrees, 56 watts, 73GB used in memory." "Box 2: chip at 96% load, 78 degrees, 56 watts, the Qwen3-235B model fully loaded." And while everyone around is paying for AI by the month and bumping into limits, his top-tier model just sits on the desk and works as much as he wants: his own little power plant instead of a forever meter. He has no server rack of his own and no cloud account behind it. Just 2 DGX Spark boxes on a desk, one model split in half between them, one local address, and a folder of prompts next to it. Out of everything I have seen this year, this is the cleanest way to stop paying for AI: $5,998 of hardware on the desk once, $0 a month to the cloud, unlimited forever, and between them 2 gold boxes, 1 cable, and the full Qwen3-235B answering at home with no internet.

Blaze

93,871 просмотров • 2 месяцев назад

A Japanese fan went to Jimin's hometown in Busan, and her words about it are so heartwarming 🥹 👩"I traveled alone to Busan, Korea. I heard that Jimin lived near the end of bus route 179 when he was young, so I took that bus and explored the area. The neighborhood where he was born and raised felt very nostalgic. Nearby, was his elementary school that has now been converted into an educational facility. At the entrance, there was a video of Jimin playing. 🫨 I then went to Yongmun Pavilion, a restaurant close to the elementary school, to have a meal. [...] The entire restaurant was filled with Jimin-related items, but the customers were all local residents. They seemed to look at the Jimin-decorated space with a sense of pride while eating. It warmed my heart to feel that the local people also like Jimin. 😭 On the TV inside the restaurant, news about Jimin's discharge from the military was playing. The local residents were talking about Jimin's discharge, though I couldn't understand everything perfectly. [...] I went by the hospital where Jimin was born, and the dance academy Just Dance that he attended. This place felt like the closest I could get to Jimin in Busan. The director of the dance academy was very kind and shared many stories and showed me a lot about Jimin. The people of Busan were all so kind, and I really loved the city. 🥹 It's a wonderful place. 🤩"

A Japanese fan went to Jimin's hometown in Busan, and her words about it are so heartwarming 🥹 👩"I traveled alone to Busan, Korea. I heard that Jimin lived near the end of bus route 179 when he was young, so I took that bus and explored the area. The neighborhood where he was born and raised felt very nostalgic. Nearby, was his elementary school that has now been converted into an educational facility. At the entrance, there was a video of Jimin playing. 🫨 I then went to Yongmun Pavilion, a restaurant close to the elementary school, to have a meal. [...] The entire restaurant was filled with Jimin-related items, but the customers were all local residents. They seemed to look at the Jimin-decorated space with a sense of pride while eating. It warmed my heart to feel that the local people also like Jimin. 😭 On the TV inside the restaurant, news about Jimin's discharge from the military was playing. The local residents were talking about Jimin's discharge, though I couldn't understand everything perfectly. [...] I went by the hospital where Jimin was born, and the dance academy Just Dance that he attended. This place felt like the closest I could get to Jimin in Busan. The director of the dance academy was very kind and shared many stories and showed me a lot about Jimin. The people of Busan were all so kind, and I really loved the city. 🥹 It's a wonderful place. 🤩"

JIMIN DATA | very slow

68,365 просмотров • 1 год назад

Fans tracked down a hotpot restaurant from the drama set and chatted with the owner. He shared a stream of unfiltered stories that are pure gold ✨ 💦 The Water Fight. “I was watching their water fight and blurted out: “Hey, your water stinks!” It was pitch black, I’m telling you! 😂 The pool was old and hadn’t been cleaned. Leizi was right there and saw they hadn’t even started yet, but the water truck driver was already yelling: “Hold on! Let me finish with this water first - I’ve got other places to be!” I rode over on my scooter from that bridge and just sat there watching 🛴👀. The second I lifted my phone to record, they shooed me away 🙈. Someone from the crew shouted: “You’re such a pest!” And I shot back: “Takes one to know one!” They all knew me by then 😅.” 🍭 Yueyue and the sugar figures. “That day, Yueyue was standing there filming how they make those blown-sugar figures. I was behind the container chatting with him (the owner). They had this huge lighting panel and I accidentally kicked the plug out with my foot 😳! The cameraman goes: “What happened?” And Yueyue immediately points at me: “He messed up! He pulled it out! Punish him!”😂 I’m like: “It wasn’t me!” And he says: “I’m calling the director right now to scold you.” So I just turned and left 😅. That’s just his personality - what you see is what you get, and it’s honestly kind of endearing 💖.” 🚬 Cigarettes: “Those two were always together at the convenience store - one drinking his water, the other smoking his cigarettes. The store owner even knew they smoked “Kuanzhai” (28 yuan a pack). Later, he said they were out. And one of them (probably Leizi) goes: “I’ll give you 50 for it.” Can you imagine? Fifty for a pack - talk about premium cigarettes🔥. So funny.” 💬 The Conversations. “I asked him (Yueyue): “How old are you?” He just said: “How old do I look?” - never gave me a straight answer 🙃. I said: “Why are you wearing a hat in this heat?” He took it off and went: “Look - bald. Not a single hair.” 😆 Later, he hits me with: “Why do you think your restaurant isn’t taking off?” I said: “Dunno.” And he goes: “I think you’re even more annoying than I am.” Hahaha! The director who was resting nearby told me: “You’ve got a really outgoing personality. If you were ten years younger, you could’ve been in movies .” I joked back: “Ah, come on, I’m just an old piece of overcured bacon now 🥓😂.” “When they were packing up to leave, I said to them: “You guys aren’t really acting, are you? (You seem for real.)” They didn’t say anything - just stayed silent. But Yueyue over there talked a mile a minute 🗣️💨. Then he asks me: “Can you get rich running a hotpot place?” I said: “Nope.” So I asked him: “Can you get rich acting?” And he fires back: “Look at me - I’m so poor I don’t even have eyebrows left.” Hahaha 😂😂!”

Fans tracked down a hotpot restaurant from the drama set and chatted with the owner. He shared a stream of unfiltered stories that are pure gold ✨ 💦 The Water Fight. “I was watching their water fight and blurted out: “Hey, your water stinks!” It was pitch black, I’m telling you! 😂 The pool was old and hadn’t been cleaned. Leizi was right there and saw they hadn’t even started yet, but the water truck driver was already yelling: “Hold on! Let me finish with this water first - I’ve got other places to be!” I rode over on my scooter from that bridge and just sat there watching 🛴👀. The second I lifted my phone to record, they shooed me away 🙈. Someone from the crew shouted: “You’re such a pest!” And I shot back: “Takes one to know one!” They all knew me by then 😅.” 🍭 Yueyue and the sugar figures. “That day, Yueyue was standing there filming how they make those blown-sugar figures. I was behind the container chatting with him (the owner). They had this huge lighting panel and I accidentally kicked the plug out with my foot 😳! The cameraman goes: “What happened?” And Yueyue immediately points at me: “He messed up! He pulled it out! Punish him!”😂 I’m like: “It wasn’t me!” And he says: “I’m calling the director right now to scold you.” So I just turned and left 😅. That’s just his personality - what you see is what you get, and it’s honestly kind of endearing 💖.” 🚬 Cigarettes: “Those two were always together at the convenience store - one drinking his water, the other smoking his cigarettes. The store owner even knew they smoked “Kuanzhai” (28 yuan a pack). Later, he said they were out. And one of them (probably Leizi) goes: “I’ll give you 50 for it.” Can you imagine? Fifty for a pack - talk about premium cigarettes🔥. So funny.” 💬 The Conversations. “I asked him (Yueyue): “How old are you?” He just said: “How old do I look?” - never gave me a straight answer 🙃. I said: “Why are you wearing a hat in this heat?” He took it off and went: “Look - bald. Not a single hair.” 😆 Later, he hits me with: “Why do you think your restaurant isn’t taking off?” I said: “Dunno.” And he goes: “I think you’re even more annoying than I am.” Hahaha! The director who was resting nearby told me: “You’ve got a really outgoing personality. If you were ten years younger, you could’ve been in movies .” I joked back: “Ah, come on, I’m just an old piece of overcured bacon now 🥓😂.” “When they were packing up to leave, I said to them: “You guys aren’t really acting, are you? (You seem for real.)” They didn’t say anything - just stayed silent. But Yueyue over there talked a mile a minute 🗣️💨. Then he asks me: “Can you get rich running a hotpot place?” I said: “Nope.” So I asked him: “Can you get rich acting?” And he fires back: “Look at me - I’m so poor I don’t even have eyebrows left.” Hahaha 😂😂!”

Littlecorn🌽

19,274 просмотров • 7 месяцев назад