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Denki's Fun Idea! Now available for Daddy Tiers on Subscribestar! This feature is over 6 minutes long and was inspired by the artwork by jiu 酒 // cmms OPEN 😍 Denki 🎤 TheatreGaymer Shinso🎤 Leo Greystone🔞🎙️ Sero 🎤 ImJustThatKinky (Commissions OPEN) Kiri 🎤 TwinkyKaiju VA| {ACCOUNT HACKED USE BACKUP}...

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3,741,908 次观看 • 1 年前 •via X (Twitter)

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[Trans] 🐰: Sawadee krub 🙏🏻 🎤: Let’s talk about your new song? 🐰: I have already released a song called "YOURS" under #RISERMUSIC label. Please give it a listen.😊 🎤: You look so handsome in the music video. You were dancing in it too. 🐰: Have you seen it? Yes, I danced a little bit 🕺 🎤: How long has it been since you last released a song? 🐰: I think it’s been more than a year. I worked on it before, but every time I finished, I ended up redoing it again and again. I really wanted the final result to be exactly the way I liked it, so I kept adjusting it until it finally became this song. 🎶 🎤: What is the song about? 🐰: It’s about a hopelessly in-love guy who’s deeply in love with a woman and is willing to do anything for her.🥹💚 🎤: Was it inspired by your own experience? 🐰: No, it was from P’Kangsom 😄 I really like the vibe of the song.🎶 🎤: Is it related to your life? 🐰: Not at all. I now concentrate only on sword fighting ⚔️ 😆 🎤: How do you manage to look so handsome while singing? 🐰: I just wake up like this. I don't know if I look handsome or not. 😂 🎤: Let’s talk about the recent case. What do you think about people using your face for their own benefit using AI? 🐰: I don't think they should do that. Technology can be both good and bad. It's not right to use it in a way that can mislead others. I have already taken legal action against those who have done it. 🎤: Are you angry about it? 🐰: Not really angry, but I'm uncomfortable with it. It's not right. 🎤: Are there any victims yet? 🐰: Not that I know of. 🎤: Have the people who did it contacted you? 🐰: No. We are still in the process of identifying them. 🎤: Are you going to take legal action against them to the fullest extent of the law? 🐰: Yes, definitely. 🎤: Do you have anything to say to the people who are doing this? 🐰: Stop it. It's not right to do this to anyone eventually you will be caught and face legal consequences. 🐰: Thank you krub. 🙏🏻 WIN X AMAZING THAILAND #AmazingThailand #AmazingThailandExclusiveNight #winmetawin Winmetawin
3:00

[Trans] 🐰: Sawadee krub 🙏🏻 🎤: Let’s talk about your new song? 🐰: I have already released a song called "YOURS" under #RISERMUSIC label. Please give it a listen.😊 🎤: You look so handsome in the music video. You were dancing in it too. 🐰: Have you seen it? Yes, I danced a little bit 🕺 🎤: How long has it been since you last released a song? 🐰: I think it’s been more than a year. I worked on it before, but every time I finished, I ended up redoing it again and again. I really wanted the final result to be exactly the way I liked it, so I kept adjusting it until it finally became this song. 🎶 🎤: What is the song about? 🐰: It’s about a hopelessly in-love guy who’s deeply in love with a woman and is willing to do anything for her.🥹💚 🎤: Was it inspired by your own experience? 🐰: No, it was from P’Kangsom 😄 I really like the vibe of the song.🎶 🎤: Is it related to your life? 🐰: Not at all. I now concentrate only on sword fighting ⚔️ 😆 🎤: How do you manage to look so handsome while singing? 🐰: I just wake up like this. I don't know if I look handsome or not. 😂 🎤: Let’s talk about the recent case. What do you think about people using your face for their own benefit using AI? 🐰: I don't think they should do that. Technology can be both good and bad. It's not right to use it in a way that can mislead others. I have already taken legal action against those who have done it. 🎤: Are you angry about it? 🐰: Not really angry, but I'm uncomfortable with it. It's not right. 🎤: Are there any victims yet? 🐰: Not that I know of. 🎤: Have the people who did it contacted you? 🐰: No. We are still in the process of identifying them. 🎤: Are you going to take legal action against them to the fullest extent of the law? 🐰: Yes, definitely. 🎤: Do you have anything to say to the people who are doing this? 🐰: Stop it. It's not right to do this to anyone eventually you will be caught and face legal consequences. 🐰: Thank you krub. 🙏🏻 WIN X AMAZING THAILAND #AmazingThailand #AmazingThailandExclusiveNight #winmetawin Winmetawin

◡̈ ✿〜*:.｡. ꕤ M a R y ꕤ*･.｡.*･*✿.

29,102 次观看 • 6 个月前

ARMCHAIR WITH JANJINGJING #ARMCHAIRคุยเล่นเอาจริง #JanJingjing (the most memorable scene) 🐯: i’d choose the pajama scene where we cried together 🎤: (the footage is coming up. is it the same scene [that jan chose]?) 🐯: it’s a different scene, but it’s in the same episode, ep8. because this scene was one of the first scenes we got to do a drama scene together. and i’m someone who puts a lot of pressure on myself. for acting, my acting teacher once said, “if you try hard to make it good with too much determination, it won’t come out well.” 🎤: trying too hard 🐯: trying too hard 🎤: it goes beyond the right amount 🐯: yes, trying too hard. it blocks everything in my body and doesn’t allow what’s inside to flow out. i’m someone who tends to pressure myself, so i kept telling myself, “i want to do it well” but the more i thought like this, it created more and more pressure. i blocked myself more, and the less i was able to do it 🎤: (it sounds very tough; it’s like meditating. you want to be calm but the mind isn’t) 🐯: the more i thought like that, the voices in my head were fighting each other more. the more they fought each other, my focus on the character slipped away 🎤: (“the harder you try, the worse it gets”) 🐯: yes, and the more i overthought, “i have to do this and this. it has to come out well.” but i forgot to actually be wine. at that time, when i was filming with p’jan, they filmed p’jan’s angle first. and when it came to me, i couldn’t act 🎤: like filming your face? 🐯: yes, p’jan’s side was shot first. when it was my turn to film me, i couldn’t act. the director came over and told me, “i don’t think it’s there yet.” that made me feel even more pressure. i went and sat by myself on set, sitting there crying. p’jan came to comfort me. she came over and… p’jan is such a talented person, because we acted many takes, but p’jan cried like that for me in every take to feed me the emotion when the camera was on me 🎤: do you remember how many takes it took? 🐯: that scene was very long 🦊: we probably filmed for around 4-5 hours for this scene 🎤: (the scene was a few minutes long, but 4-5 hours. it’s not only about saying the lines, but the emotions had to be there too. how did you get through it, jingjing?) 🐯: i was trying, and p’jan tried encouraging me and came and hugged me. so i was like, “nope! the slower it goes, the more pressure i would feel. everyone on set is waiting for me.” that just made me more pressured. i put a lot of pressure on myself. eventually, i thought, “forget it! however it turns out, so be it! i tried to stop paying attention to everything around me and focus only on “i’m k’wine, and how much i love k’lal” the acting coach and assistant director tried getting me into the scene, telling me to remember that i had to be k’wine. i thought about how much k’wine loves k’lal. once i started getting rid of my own stress and tried getting back into k’wine again, i finally was able to do the scene 🎤: (magic moment about getting unstuck from stumbling) 🐯: yes. this was the scene where p’jan told me, “no matter how many takes, p’ can do it for you.” honestly, this scene made us build a better understanding of each other regarding work 🎤: you’re very lucky to have someone next to you who understands you 🦊: i knew that she was stressed, and that this is how she gets [when stressed]. so i said, “don’t stress! i’ll do it for you! we’ll keep going until we get it. don’t be afraid.”
3:39

ARMCHAIR WITH JANJINGJING #ARMCHAIRคุยเล่นเอาจริง #JanJingjing (the most memorable scene) 🐯: i’d choose the pajama scene where we cried together 🎤: (the footage is coming up. is it the same scene [that jan chose]?) 🐯: it’s a different scene, but it’s in the same episode, ep8. because this scene was one of the first scenes we got to do a drama scene together. and i’m someone who puts a lot of pressure on myself. for acting, my acting teacher once said, “if you try hard to make it good with too much determination, it won’t come out well.” 🎤: trying too hard 🐯: trying too hard 🎤: it goes beyond the right amount 🐯: yes, trying too hard. it blocks everything in my body and doesn’t allow what’s inside to flow out. i’m someone who tends to pressure myself, so i kept telling myself, “i want to do it well” but the more i thought like this, it created more and more pressure. i blocked myself more, and the less i was able to do it 🎤: (it sounds very tough; it’s like meditating. you want to be calm but the mind isn’t) 🐯: the more i thought like that, the voices in my head were fighting each other more. the more they fought each other, my focus on the character slipped away 🎤: (“the harder you try, the worse it gets”) 🐯: yes, and the more i overthought, “i have to do this and this. it has to come out well.” but i forgot to actually be wine. at that time, when i was filming with p’jan, they filmed p’jan’s angle first. and when it came to me, i couldn’t act 🎤: like filming your face? 🐯: yes, p’jan’s side was shot first. when it was my turn to film me, i couldn’t act. the director came over and told me, “i don’t think it’s there yet.” that made me feel even more pressure. i went and sat by myself on set, sitting there crying. p’jan came to comfort me. she came over and… p’jan is such a talented person, because we acted many takes, but p’jan cried like that for me in every take to feed me the emotion when the camera was on me 🎤: do you remember how many takes it took? 🐯: that scene was very long 🦊: we probably filmed for around 4-5 hours for this scene 🎤: (the scene was a few minutes long, but 4-5 hours. it’s not only about saying the lines, but the emotions had to be there too. how did you get through it, jingjing?) 🐯: i was trying, and p’jan tried encouraging me and came and hugged me. so i was like, “nope! the slower it goes, the more pressure i would feel. everyone on set is waiting for me.” that just made me more pressured. i put a lot of pressure on myself. eventually, i thought, “forget it! however it turns out, so be it! i tried to stop paying attention to everything around me and focus only on “i’m k’wine, and how much i love k’lal” the acting coach and assistant director tried getting me into the scene, telling me to remember that i had to be k’wine. i thought about how much k’wine loves k’lal. once i started getting rid of my own stress and tried getting back into k’wine again, i finally was able to do the scene 🎤: (magic moment about getting unstuck from stumbling) 🐯: yes. this was the scene where p’jan told me, “no matter how many takes, p’ can do it for you.” honestly, this scene made us build a better understanding of each other regarding work 🎤: you’re very lucky to have someone next to you who understands you 🦊: i knew that she was stressed, and that this is how she gets [when stressed]. so i said, “don’t stress! i’ll do it for you! we’ll keep going until we get it. don’t be afraid.”

²²

26,707 次观看 • 1 个月前

[Trans] WIN NEW ULTIMUNE TH 🎤: Please share a few words about today’s event. 🐰: Today, I attended the launch of the new #ShiseidoUltimune Infusing Serum. ♥️ 🎤: What makes this product special? 🐰: It’s a unique product designed with the concept of slowing aging cells and embracing freedom from age. No matter how old you are, you define your own beauty standard.♥️ 🎤: Why do you personally like this product? 🐰: I’m really impressed with it. I’ve used several formulas of #ShiseidoUltimune and apply it regularly, both day and night. It’s my go-to skincare step, and I can see the difference after using it. It strengthens the skin and serves as the first step before any skincare routine. After learning more about its ingredients, I really want to share it with others. ♥️ 🎤: We heard there was a special deal in Japan 🇯🇵. 🐰: Ah, the special deal 😄 It happened at a gala dinner. I didn’t know I was going to sing today! While we were all sitting at the table, Khun Sai caught me off guard while I was busy with something, and I just said, “Yes, sure!”—so I ended up singing today 😄. But honestly, it was a great opportunity. At first, I felt considerate about singing with P’V because she’s such a diva, but once I got the chance, I was really happy. 🎤: Will you release a single with P’V in the future? 🐰: P’V, please consider me! 🙏🏻🥹 If you think my voice is good enough, I’d love to do a feature 😄. 🎤: Did you get any new ideas from your latest trip to Japan? 🐰: Quite a lot! 😄 I always observe what’s happening there—what they do, what kinds of pop-ups they have. Even at today’s event, I paid attention to how they organize things and how they present their products. I’m always learning, and I enjoy working with Shiseido every time. Please support #SOURI’s collaboration with Shiseido! It’s a delicious flavor, and I really want you to try it. 🎤: How many branches do you have now? 🐰: We now have 18 branches and plan to expand to 40 by the end of this year 😱😳. 🎤: A clip of you helping a fallen fan went viral. 🐰: That day, there were so many people in such a small space. Fans were pushing forward, trying to get closer to me. The guards were doing their best to control the crowd, but people kept moving forward. I asked everyone to stay calm, but then a fan fell. I was worried she might get hurt, so I helped her up. It was a tense moment—if I hadn’t helped, it could have caused a bigger incident. I just did what I had to do. 🥺🥹💚 🎤: We’ve seen many cute moments of you interacting with fans at events 🥰. 🐰: At open events like these, I want to have close interactions with my fans. Many of my past events were private or overseas, so whenever I have a public event in Thailand, I try to connect with them as much as possible. Meeting my fans always makes me happy—it’s like recharging my energy so I can keep working. 💚 🎤: Any final message? 🐰: Please stop by the Shiseido pop-up! There are lots of fun activities waiting for you all. ♥️ #JourneyofFreedomxWin #JourneyofFreedom #ShiseidoUltimune #FreedomFromAge #ShiseidoThailand #winmetawin Winmetawin
5:50

[Trans] WIN NEW ULTIMUNE TH 🎤: Please share a few words about today’s event. 🐰: Today, I attended the launch of the new #ShiseidoUltimune Infusing Serum. ♥️ 🎤: What makes this product special? 🐰: It’s a unique product designed with the concept of slowing aging cells and embracing freedom from age. No matter how old you are, you define your own beauty standard.♥️ 🎤: Why do you personally like this product? 🐰: I’m really impressed with it. I’ve used several formulas of #ShiseidoUltimune and apply it regularly, both day and night. It’s my go-to skincare step, and I can see the difference after using it. It strengthens the skin and serves as the first step before any skincare routine. After learning more about its ingredients, I really want to share it with others. ♥️ 🎤: We heard there was a special deal in Japan 🇯🇵. 🐰: Ah, the special deal 😄 It happened at a gala dinner. I didn’t know I was going to sing today! While we were all sitting at the table, Khun Sai caught me off guard while I was busy with something, and I just said, “Yes, sure!”—so I ended up singing today 😄. But honestly, it was a great opportunity. At first, I felt considerate about singing with P’V because she’s such a diva, but once I got the chance, I was really happy. 🎤: Will you release a single with P’V in the future? 🐰: P’V, please consider me! 🙏🏻🥹 If you think my voice is good enough, I’d love to do a feature 😄. 🎤: Did you get any new ideas from your latest trip to Japan? 🐰: Quite a lot! 😄 I always observe what’s happening there—what they do, what kinds of pop-ups they have. Even at today’s event, I paid attention to how they organize things and how they present their products. I’m always learning, and I enjoy working with Shiseido every time. Please support #SOURI’s collaboration with Shiseido! It’s a delicious flavor, and I really want you to try it. 🎤: How many branches do you have now? 🐰: We now have 18 branches and plan to expand to 40 by the end of this year 😱😳. 🎤: A clip of you helping a fallen fan went viral. 🐰: That day, there were so many people in such a small space. Fans were pushing forward, trying to get closer to me. The guards were doing their best to control the crowd, but people kept moving forward. I asked everyone to stay calm, but then a fan fell. I was worried she might get hurt, so I helped her up. It was a tense moment—if I hadn’t helped, it could have caused a bigger incident. I just did what I had to do. 🥺🥹💚 🎤: We’ve seen many cute moments of you interacting with fans at events 🥰. 🐰: At open events like these, I want to have close interactions with my fans. Many of my past events were private or overseas, so whenever I have a public event in Thailand, I try to connect with them as much as possible. Meeting my fans always makes me happy—it’s like recharging my energy so I can keep working. 💚 🎤: Any final message? 🐰: Please stop by the Shiseido pop-up! There are lots of fun activities waiting for you all. ♥️ #JourneyofFreedomxWin #JourneyofFreedom #ShiseidoUltimune #FreedomFromAge #ShiseidoThailand #winmetawin Winmetawin

◡̈ ✿〜*:.｡. ꕤ M a R y ꕤ*･.｡.*･*✿.

22,201 次观看 • 1 年前

WILLIAMEST PRESSTOUR #WilliamEstFanconPressTour #Flex1045xWilliamEstFANCON 🎤: was there ever a moment when you were deeply touched by something he did but never told him? 🦈: actually, i can think of two things: one work-related and one personal. on the personal side, ever since we first met during songkran last year, i was out partying, right? and i went to sleep at his place. at the time, he couldn’t go out yet cause he wasn’t of age. but like, it was 3 a.m. and he still came down to pick me up even though he had already gone to sleep. and we had just met. i felt really touched. 🎸: at the time we went out together and i wasn’t old enough to go party, so i just went to some place that kids could go in during the day. then i went home to sleep and phi went out partying. 🦈: yes and i didn’t just stay for one night. i stayed like three nights, didn’t even book a hotel, just stayed at nong place. 🎸: and my eyes were like 😵‍💫 🦈: i started to feel bad. do you know what i did in return? 🤣 🎤: what did you do? 🎸: no, because i had to go downstairs, press the elevator, do a bunch of stuff, so i had to wake up. i went down to pick him up and he was just sitting there on the floor 🤣 🎤: sitting on the floor waiting? 🎸: yes, just sitting and resting there, waiting for me to come down. so we went back up. help him upstairs. not that i helped him up, he could walk by himself 🤣 then i went to bed and from my room, if the door wasn’t fully closed, you could see the sink. i’m the type who eats and washes dishes later. 🎤: you soak them first so they’re easier to clean later? 🎸: yes and then i saw him standing there at 3 a.m. doing the dishes 😭 🎤: washing dishes at 3 a.m.? 🎸: yes 😭 i was like, why did he do that? like it was fine, seriously. it wasn’t a big deal. but maybe he felt a bit guilty or something. but for me, i literally set an alarm, like, “okay, he’ll probably be back around this time,” so i set it and went down to get him. 🎤: maybe that was his version of saying thank you, right? 🦈: yes and the thing is, he never even told me that he saw me! like, i knew he’d probably fallen asleep or something, so i left the door cracked open because the lights were off just in case he could see. and yeah, turns out he did see. but he only told me months later, like way after songkran. 🎤: so he only just revealed now that he saw you washing the dishes? 🦈: i only found out because he teased me later, like, “you’ll end up washing dishes again soon” 🤣 that was how he teased. and back then i genuinely felt a bit bad, so i just wanted to do something to give back a little. and looking back, it’s so funny. 🦈: and then in thamepo, there was literally a dishwashing scene, so i joked like, “guess i can’t escape doing dishes for real.” 🤣
3:15

WILLIAMEST PRESSTOUR #WilliamEstFanconPressTour #Flex1045xWilliamEstFANCON 🎤: was there ever a moment when you were deeply touched by something he did but never told him? 🦈: actually, i can think of two things: one work-related and one personal. on the personal side, ever since we first met during songkran last year, i was out partying, right? and i went to sleep at his place. at the time, he couldn’t go out yet cause he wasn’t of age. but like, it was 3 a.m. and he still came down to pick me up even though he had already gone to sleep. and we had just met. i felt really touched. 🎸: at the time we went out together and i wasn’t old enough to go party, so i just went to some place that kids could go in during the day. then i went home to sleep and phi went out partying. 🦈: yes and i didn’t just stay for one night. i stayed like three nights, didn’t even book a hotel, just stayed at nong place. 🎸: and my eyes were like 😵‍💫 🦈: i started to feel bad. do you know what i did in return? 🤣 🎤: what did you do? 🎸: no, because i had to go downstairs, press the elevator, do a bunch of stuff, so i had to wake up. i went down to pick him up and he was just sitting there on the floor 🤣 🎤: sitting on the floor waiting? 🎸: yes, just sitting and resting there, waiting for me to come down. so we went back up. help him upstairs. not that i helped him up, he could walk by himself 🤣 then i went to bed and from my room, if the door wasn’t fully closed, you could see the sink. i’m the type who eats and washes dishes later. 🎤: you soak them first so they’re easier to clean later? 🎸: yes and then i saw him standing there at 3 a.m. doing the dishes 😭 🎤: washing dishes at 3 a.m.? 🎸: yes 😭 i was like, why did he do that? like it was fine, seriously. it wasn’t a big deal. but maybe he felt a bit guilty or something. but for me, i literally set an alarm, like, “okay, he’ll probably be back around this time,” so i set it and went down to get him. 🎤: maybe that was his version of saying thank you, right? 🦈: yes and the thing is, he never even told me that he saw me! like, i knew he’d probably fallen asleep or something, so i left the door cracked open because the lights were off just in case he could see. and yeah, turns out he did see. but he only told me months later, like way after songkran. 🎤: so he only just revealed now that he saw you washing the dishes? 🦈: i only found out because he teased me later, like, “you’ll end up washing dishes again soon” 🤣 that was how he teased. and back then i genuinely felt a bit bad, so i just wanted to do something to give back a little. and looking back, it’s so funny. 🦈: and then in thamepo, there was literally a dishwashing scene, so i joked like, “guess i can’t escape doing dishes for real.” 🤣

𝑛𝑎𝑛𝑎 ◡̈

73,933 次观看 • 1 年前

🚨 JUST IN: MICROSOFT just open sourced a VOICE AI THAT TRANSCRIBES 60 MINUTES OF AUDIO in a single pass. 100% FREE. It knows who spoke. It knows when they spoke. It knows exactly what they said. All in one shot. No chunking. No context loss. It's called VibeVoice. Not a transcription tool. Not a basic speech to text wrapper. A frontier voice AI family with ASR, TTS, and real time streaming. All open source. All free. Here's what it actually does 👇 VibeVoice ASR - Speech Recognition: → Processes 60 minutes of continuous audio in a single pass → Never slices audio into chunks so global context is never lost → Identifies WHO spoke, WHEN they spoke and WHAT they said simultaneously → Supports customized hotwords for domain specific accuracy → Works in 50+ languages natively → Already adopted by Hugging Face Transformers library → Already being built on by the open source community BY PEOPLE WHO HAD NO IDEA THIS LEVEL OF ACCURACY WAS ALREADY FREE. VibeVoice TTS - Text to Speech: → Generates up to 90 minutes of speech in a single pass → Supports up to 4 distinct speakers in one conversation → Natural turn taking and speaker consistency throughout → Expressive speech that captures emotional nuances → Supports English, Chinese and multiple other languages VibeVoice Realtime - Streaming TTS: → Only 300 millisecond first audible latency → Streams text input in real time → 0.5B parameters so it actually deploys anywhere → Robust long form generation up to 10 minutes → Lightweight enough for production use today The core innovation nobody is talking about: Most voice AI models slice long audio into short chunks. Every time they slice, they lose context. Speaker tracking breaks. Semantic coherence breaks. Accuracy drops. VibeVoice uses continuous speech tokenizers running at an ultra low frame rate of 7.5 Hz. This preserves audio fidelity while dramatically boosting computational efficiency. The entire 60 minutes stays in context. Nothing gets lost. Nobody gets misidentified. The numbers: → VibeVoice ASR 7B - available now on Hugging Face → VibeVoice Realtime 0.5B - try it on Colab right now → 50+ supported languages → 11 distinct English voice styles → 9 multilingual speaker voices → Already integrated into Hugging Face Transformers → Finetuning code now available The wildest part? A voice powered input method called Vibing just built itself on top of VibeVoice ASR. Available on macOS and Windows right now. The open source community is already shipping products on top of this. 100% Open Source. Free to use. Free to fine tune. Free to build on. 🔖 Save this before your competitors find it first. 👇
0:44

🚨 JUST IN: MICROSOFT just open sourced a VOICE AI THAT TRANSCRIBES 60 MINUTES OF AUDIO in a single pass. 100% FREE. It knows who spoke. It knows when they spoke. It knows exactly what they said. All in one shot. No chunking. No context loss. It's called VibeVoice. Not a transcription tool. Not a basic speech to text wrapper. A frontier voice AI family with ASR, TTS, and real time streaming. All open source. All free. Here's what it actually does 👇 VibeVoice ASR - Speech Recognition: → Processes 60 minutes of continuous audio in a single pass → Never slices audio into chunks so global context is never lost → Identifies WHO spoke, WHEN they spoke and WHAT they said simultaneously → Supports customized hotwords for domain specific accuracy → Works in 50+ languages natively → Already adopted by Hugging Face Transformers library → Already being built on by the open source community BY PEOPLE WHO HAD NO IDEA THIS LEVEL OF ACCURACY WAS ALREADY FREE. VibeVoice TTS - Text to Speech: → Generates up to 90 minutes of speech in a single pass → Supports up to 4 distinct speakers in one conversation → Natural turn taking and speaker consistency throughout → Expressive speech that captures emotional nuances → Supports English, Chinese and multiple other languages VibeVoice Realtime - Streaming TTS: → Only 300 millisecond first audible latency → Streams text input in real time → 0.5B parameters so it actually deploys anywhere → Robust long form generation up to 10 minutes → Lightweight enough for production use today The core innovation nobody is talking about: Most voice AI models slice long audio into short chunks. Every time they slice, they lose context. Speaker tracking breaks. Semantic coherence breaks. Accuracy drops. VibeVoice uses continuous speech tokenizers running at an ultra low frame rate of 7.5 Hz. This preserves audio fidelity while dramatically boosting computational efficiency. The entire 60 minutes stays in context. Nothing gets lost. Nobody gets misidentified. The numbers: → VibeVoice ASR 7B - available now on Hugging Face → VibeVoice Realtime 0.5B - try it on Colab right now → 50+ supported languages → 11 distinct English voice styles → 9 multilingual speaker voices → Already integrated into Hugging Face Transformers → Finetuning code now available The wildest part? A voice powered input method called Vibing just built itself on top of VibeVoice ASR. Available on macOS and Windows right now. The open source community is already shipping products on top of this. 100% Open Source. Free to use. Free to fine tune. Free to build on. 🔖 Save this before your competitors find it first. 👇

Kanika

221,026 次观看 • 4 个月前

Chamath is making one of the most important business arguments of 2026. Half of large US companies right now cannot generate returns that exceed their cost of capital, which has normalized back to its long run average of 8 to 11%. Another one in seven companies globally is stuck generating persistent returns between 1 and 5% and most businesses don't have room for error and in this environment walks every frontier AI lab saying the same thing, give us your data, your workflows, your processes and our model will make everything better. And companies by the millions said yes. What they didn't fully account for is what happens on the other side of that door. Every time an employee runs a query through a frontier model API, the prompt goes through external servers, workflows, customer data, pricing logic, internal processes, all of it transmitted through a third party. As Alex Karp said companies are spending on tokens while handing over the exact proprietary advantages that make their business worth owning. Microsoft blocked internal use of Anthropic's Claude Fable 5 but over its 30-day data retention policy and the largest software company in the world decided a frontier model's data handling was too risky for its own employees. A US government action revoked access to another frontier model for foreign nationals overnight. Now here's where the cost math becomes impossible to ignore. Deutsche Bank calculated a roughly 65x cost gap between frontier models like Claude Fable 5 at ~$3.25 per task and open-source alternatives at ~$0.05. For 90% of everyday enterprise tasks, performance is comparable. Open-weight models now match closed frontier systems on core agent tasks at roughly one-tenth the cost, a high-volume deployment that costs $250/day on Claude runs at $12/day on an open-source equivalent. Chamath Palihapitiya tested this directly by running a standard enterprise code migration task through an orchestration layer wrapping an open-source model came in 16.4x cheaper than using a frontier model directly.
5:24

Chamath is making one of the most important business arguments of 2026. Half of large US companies right now cannot generate returns that exceed their cost of capital, which has normalized back to its long run average of 8 to 11%. Another one in seven companies globally is stuck generating persistent returns between 1 and 5% and most businesses don't have room for error and in this environment walks every frontier AI lab saying the same thing, give us your data, your workflows, your processes and our model will make everything better. And companies by the millions said yes. What they didn't fully account for is what happens on the other side of that door. Every time an employee runs a query through a frontier model API, the prompt goes through external servers, workflows, customer data, pricing logic, internal processes, all of it transmitted through a third party. As Alex Karp said companies are spending on tokens while handing over the exact proprietary advantages that make their business worth owning. Microsoft blocked internal use of Anthropic's Claude Fable 5 but over its 30-day data retention policy and the largest software company in the world decided a frontier model's data handling was too risky for its own employees. A US government action revoked access to another frontier model for foreign nationals overnight. Now here's where the cost math becomes impossible to ignore. Deutsche Bank calculated a roughly 65x cost gap between frontier models like Claude Fable 5 at ~$3.25 per task and open-source alternatives at ~$0.05. For 90% of everyday enterprise tasks, performance is comparable. Open-weight models now match closed frontier systems on core agent tasks at roughly one-tenth the cost, a high-volume deployment that costs $250/day on Claude runs at $12/day on an open-source equivalent. Chamath Palihapitiya tested this directly by running a standard enterprise code migration task through an orchestration layer wrapping an open-source model came in 16.4x cheaper than using a frontier model directly.

Milk Road AI

280,929 次观看 • 1 个月前

BONNIE LEVEL UP #22ndBonnieBDparty 🦊: What am I supposed to do? 🎤: Give her a birthday blessing. 🐰: Oh! Is your nose running? 🦊: For real? 🐰: You're crying? (wipes Emi's nose) Are you crying? Is it tears? Are you crying? 🦊: (wipes her eyes) 🐰: That's a big piece of eye gunk~ 🦊: (wipes Bonnie's eyes) 🎤: This is a bickering kind of love, right? 🦊: What am I supposed to say? 🐰: ☺️ 🐰: Is it real? 🦊: It's a fan 😆 🦊: What is that? The fan thing. 🐰: A fan, like when they wrap those new year lucky draw presents. 🦊: You'll have to open it to see. It's exactly like it. 🐰: Or is Any hidden in there?? 🦊: It might be too small 😆 🐰: It might not fit her. 🦊: Do you want to open it? 🐰: I do!! 🦊: It's exactly like it. 🐰: Really? 🦊: Almost exactly like it, but it's the one that's the closest to it. 🐰: Lemme see~ how do I open it? 🦊: Here here, you can open it yourself. 🐰: (starts opening it) 🐰: When did you buy it? 🦊: When did I buy it? 🦊: (helps Bonnie open it) 🎤: The vibe is like opening up the back of a truck to sell things. 🐰: (opens it) 🐰: 😭 🦊: It's exactly like it. It's even got the pearly design here. 🐰: 😭 🦊: Isn't it just like it? 🐰: 😭 🦊: It's really like it. I had to go to so many shops before I could find it. 🐰: How many shops did you go to? 🦊: So many. It's really like it. 🐰: Where did you buy it from? 🦊: Do you want to hold it? 🐰: I'm going to bring it to the concert. It'll definitely be at the Love Session. 🐰: (admiring the guitar) 🦊: Do you like it? 🐰: 🙂‍↕️ 🐰: My mic disappeared. 🦊: Her mic disappeared, where'd it go? 😆 🐰: My face is all gone now. I love it more than anything in the world. 🦊: Is it pretty? 🐰: It is. 🦊: It's really beautiful. The first time I saw it, I was like, this is the one. 🐰: It's beautiful. 🦊: Will you play it? 🐰: I will. I love it so much, I'm going to keep it till the day I die. 🦊: Yeah, guitars are things that, when ppl move homes, they'll bring their guitars with them. 🐰: What do you mean by moving? 🦊: As in, usually, guitars are things that ppl will bring with them even when they move homes. 🐰: Yeah. I'll bring it out with me. 🦊: You'll bring it out with you? 😆 🐰: I'll bring it to Central World, I'll walk and buy sweets with it. 🦊: It's heavy. 🐰: Oh, it's heavy. That's so sweet. 🦊: It really suits you. No one bought the same thing, right? 🐰: No, you're the only one I told. 🦊: The whole world knows now! 🐰: Oh yeah, they put it in (the Love Session BTS video). 🦊: 😆 🐰: They put it in the video. How come you're so sweet? 🦊: Do you want to try playing it? 🎤: Do you want to try playing? Will we see this guitar on stage on 7 March (EmiBonnie Love Session). 🦊: You can see it, but it doesn't have an amp, bc I had to choose between it having an amp or not having an amp. If it's a classic guitar with real wood, they don't really have amps apparently. That's what they said. 🎤: Do you want to give it a try? 🐰: No, I'm shy. Let me practice first. 🦊: Try listening to the sound. It's already been tuned. 🐰: (tries playing it) 🦊: Has it been tuned? Is this already tuned? 🐰: Yeah ☺️ 🐰: (hugs the guitar) 🐰: I'm going to hug it to sleep tonight. 🦊: You're going to hug it to sleep 😆 🎤: She's going to hug it to sleep 😆 🦊: It's so beautiful. It suits Bonnie the most. 🐰: (hugs the guitar) 🐰: When did you buy it? You had the time? 🦊: I did, I did. 🐰: When? We're together all the time, when'd you go? 🗣️: (screaming) 🦊: For this, of course I had time. 🐰: A spy. 🦊: Is it beautiful? 🐰: It's beautiful. Which shop did you buy it from? Does anyone know? 🦊: Are you going to buy another one or what? 😆 🐰: No, I'm not going to buy another one, this is the only one I want. 🎤: Everyone must want to take photos of the two of them with the guitar. You can stand next to the table with the cake. 🦊🐰: (being sweet with each other while everyone takes photos) 🦊: Which camera? 🎤: All the cameras. 🐰: Pls Meitu, edit the photos for me.
6:56

BONNIE LEVEL UP #22ndBonnieBDparty 🦊: What am I supposed to do? 🎤: Give her a birthday blessing. 🐰: Oh! Is your nose running? 🦊: For real? 🐰: You're crying? (wipes Emi's nose) Are you crying? Is it tears? Are you crying? 🦊: (wipes her eyes) 🐰: That's a big piece of eye gunk~ 🦊: (wipes Bonnie's eyes) 🎤: This is a bickering kind of love, right? 🦊: What am I supposed to say? 🐰: ☺️ 🐰: Is it real? 🦊: It's a fan 😆 🦊: What is that? The fan thing. 🐰: A fan, like when they wrap those new year lucky draw presents. 🦊: You'll have to open it to see. It's exactly like it. 🐰: Or is Any hidden in there?? 🦊: It might be too small 😆 🐰: It might not fit her. 🦊: Do you want to open it? 🐰: I do!! 🦊: It's exactly like it. 🐰: Really? 🦊: Almost exactly like it, but it's the one that's the closest to it. 🐰: Lemme see~ how do I open it? 🦊: Here here, you can open it yourself. 🐰: (starts opening it) 🐰: When did you buy it? 🦊: When did I buy it? 🦊: (helps Bonnie open it) 🎤: The vibe is like opening up the back of a truck to sell things. 🐰: (opens it) 🐰: 😭 🦊: It's exactly like it. It's even got the pearly design here. 🐰: 😭 🦊: Isn't it just like it? 🐰: 😭 🦊: It's really like it. I had to go to so many shops before I could find it. 🐰: How many shops did you go to? 🦊: So many. It's really like it. 🐰: Where did you buy it from? 🦊: Do you want to hold it? 🐰: I'm going to bring it to the concert. It'll definitely be at the Love Session. 🐰: (admiring the guitar) 🦊: Do you like it? 🐰: 🙂‍↕️ 🐰: My mic disappeared. 🦊: Her mic disappeared, where'd it go? 😆 🐰: My face is all gone now. I love it more than anything in the world. 🦊: Is it pretty? 🐰: It is. 🦊: It's really beautiful. The first time I saw it, I was like, this is the one. 🐰: It's beautiful. 🦊: Will you play it? 🐰: I will. I love it so much, I'm going to keep it till the day I die. 🦊: Yeah, guitars are things that, when ppl move homes, they'll bring their guitars with them. 🐰: What do you mean by moving? 🦊: As in, usually, guitars are things that ppl will bring with them even when they move homes. 🐰: Yeah. I'll bring it out with me. 🦊: You'll bring it out with you? 😆 🐰: I'll bring it to Central World, I'll walk and buy sweets with it. 🦊: It's heavy. 🐰: Oh, it's heavy. That's so sweet. 🦊: It really suits you. No one bought the same thing, right? 🐰: No, you're the only one I told. 🦊: The whole world knows now! 🐰: Oh yeah, they put it in (the Love Session BTS video). 🦊: 😆 🐰: They put it in the video. How come you're so sweet? 🦊: Do you want to try playing it? 🎤: Do you want to try playing? Will we see this guitar on stage on 7 March (EmiBonnie Love Session). 🦊: You can see it, but it doesn't have an amp, bc I had to choose between it having an amp or not having an amp. If it's a classic guitar with real wood, they don't really have amps apparently. That's what they said. 🎤: Do you want to give it a try? 🐰: No, I'm shy. Let me practice first. 🦊: Try listening to the sound. It's already been tuned. 🐰: (tries playing it) 🦊: Has it been tuned? Is this already tuned? 🐰: Yeah ☺️ 🐰: (hugs the guitar) 🐰: I'm going to hug it to sleep tonight. 🦊: You're going to hug it to sleep 😆 🎤: She's going to hug it to sleep 😆 🦊: It's so beautiful. It suits Bonnie the most. 🐰: (hugs the guitar) 🐰: When did you buy it? You had the time? 🦊: I did, I did. 🐰: When? We're together all the time, when'd you go? 🗣️: (screaming) 🦊: For this, of course I had time. 🐰: A spy. 🦊: Is it beautiful? 🐰: It's beautiful. Which shop did you buy it from? Does anyone know? 🦊: Are you going to buy another one or what? 😆 🐰: No, I'm not going to buy another one, this is the only one I want. 🎤: Everyone must want to take photos of the two of them with the guitar. You can stand next to the table with the cake. 🦊🐰: (being sweet with each other while everyone takes photos) 🦊: Which camera? 🎤: All the cameras. 🐰: Pls Meitu, edit the photos for me.

K-bab

73,138 次观看 • 6 个月前

INTRODUCING FIZZY Have you noticed that every issue and idea tracking tool you loved slowly morphed into boring, sluggish, corporate bloatware? Trello put on 40 pounds of cruft. Jira started charging by the migraine. Asana tried to become everything to everyone. GitHub Issues slipped into a steady state of decline. The whole category is a 20 car pileup of complexity. Time to route around that mess. Today we’re introducing Fizzy. Kanban as it should be, not as it has been. Fizzy is a fresh take on cards and columns, with a few twists, human-nature inspired defaults, and a vibrant interface that’s the opposite of the bland and boring software the industry has been flinging at you for years. Kanban has been around since the 1940s, and Trello brought it into the mainstream in 2011. Since then, some version of column-based kanban-style organization has found its way into any collaboration tool worth its salt. But most have over salted the dish. What was simple is now complicated. What was clear is now cluttered. What just worked now takes work. Fizzy presses reset, reconsiders what really matters, and presents a refreshing way to kanban that just feels right. It’s friendly, colorful, straightforward, and fast as hell. We still use Basecamp for our big, intensive projects, but lately we’ve been reaching for Fizzy to run the smaller ones. It’s perfect for tracking bugs, issues, and ideas, and it shines for lighter, self-contained workflows like podcasts or video production. We didn’t expect it, but Fizzy’s so good it might even cannibalize Basecamp on the lighter side of project management. We’d be thrilled. How much is it? It’s not much for so much. Everyone gets 1000 cards for free. Beyond that, we’ll host your account for just $20/month for unlimited cards and unlimited users. One price for all and everything. No tiers, no “contact us.” No pricing chart at all — just a price tag, like on a pair of jeans. And here’s a surprise... Fizzy is open source! If you’d prefer not to pay us, or you want to customize Fizzy for your own use, you can run it yourself for free forever. Have a great idea? Submit a PR to contribute to the code base and improve the product for everyone. It’s the best of all worlds. No excuses. Every idea comes back around. It’s time for take two on kanban. Fizzy’s our hat in the ring. Let’s make this platform insanely great, together. Come on in! Visit
17:33

INTRODUCING FIZZY Have you noticed that every issue and idea tracking tool you loved slowly morphed into boring, sluggish, corporate bloatware? Trello put on 40 pounds of cruft. Jira started charging by the migraine. Asana tried to become everything to everyone. GitHub Issues slipped into a steady state of decline. The whole category is a 20 car pileup of complexity. Time to route around that mess. Today we’re introducing Fizzy. Kanban as it should be, not as it has been. Fizzy is a fresh take on cards and columns, with a few twists, human-nature inspired defaults, and a vibrant interface that’s the opposite of the bland and boring software the industry has been flinging at you for years. Kanban has been around since the 1940s, and Trello brought it into the mainstream in 2011. Since then, some version of column-based kanban-style organization has found its way into any collaboration tool worth its salt. But most have over salted the dish. What was simple is now complicated. What was clear is now cluttered. What just worked now takes work. Fizzy presses reset, reconsiders what really matters, and presents a refreshing way to kanban that just feels right. It’s friendly, colorful, straightforward, and fast as hell. We still use Basecamp for our big, intensive projects, but lately we’ve been reaching for Fizzy to run the smaller ones. It’s perfect for tracking bugs, issues, and ideas, and it shines for lighter, self-contained workflows like podcasts or video production. We didn’t expect it, but Fizzy’s so good it might even cannibalize Basecamp on the lighter side of project management. We’d be thrilled. How much is it? It’s not much for so much. Everyone gets 1000 cards for free. Beyond that, we’ll host your account for just $20/month for unlimited cards and unlimited users. One price for all and everything. No tiers, no “contact us.” No pricing chart at all — just a price tag, like on a pair of jeans. And here’s a surprise... Fizzy is open source! If you’d prefer not to pay us, or you want to customize Fizzy for your own use, you can run it yourself for free forever. Have a great idea? Submit a PR to contribute to the code base and improve the product for everyone. It’s the best of all worlds. No excuses. Every idea comes back around. It’s time for take two on kanban. Fizzy’s our hat in the ring. Let’s make this platform insanely great, together. Come on in! Visit

Jason Fried

561,803 次观看 • 8 个月前

When we were starting Zerodha, we didn't have any money to spend on advertising or customer acquisition. So the only real growth lever we had was word of mouth. We had to build products and services that people liked enough to tell their friends and family about. Very early on, people who traded with us started referring Zerodha to their friends, colleagues, and family. As a way of saying thank you, we started our referral program. The idea was simple: if you referred someone to Zerodha, we would share 10% of the brokerage generated by that referral with you, for as long as they traded with us. No ifs and buts. No hidden conditions. And it worked. Until we had to stop the referral program in 2024 due to exchange regulations, close to 30% of our accounts were coming through referrals. But even this understated the true impact of word of mouth. Most people don’t log in to a referral portal or share a referral link. They simply tell a friend, colleague, or family member: “You should open an account with Zerodha. I use it and like it.” Those people then come directly to our website and open an account. So while the attributed referral number was around 30%, the real number was probably well north of 50%. Even after we stopped offering referral incentives, about 15–20% of new accounts continued to come from referrals. That, for us, has always been the biggest validation. We now have regulatory clarity and have restarted referrals. We are also reinstating referral benefits for all old clients who had referred people earlier. This means that anyone who has ever referred clients to Zerodha will get 10% of the brokerage generated by those referrals for as long as they trade with us. You can visit and tell your friends and family about Zerodha. Given that we don’t charge for investing in stocks, ETFs, bonds, and direct mutual funds, and given that AMC is free or nearly zero for most customers under BSDA, there's no reason for you not to refer someone who wants to start saving and investing🙂 Along with Kite, Coin by Zerodha, Console, Varsity, TradingQnA, Tijori, Sensibull - India's No:1 Options Trading Platform, Ditto Insurance, Zerodha Fund House, and the rest of the ecosystem we’ve built around investors and traders, we hope Zerodha remains a good place for your friends and family to begin their investing journey.
4:22

When we were starting Zerodha, we didn't have any money to spend on advertising or customer acquisition. So the only real growth lever we had was word of mouth. We had to build products and services that people liked enough to tell their friends and family about. Very early on, people who traded with us started referring Zerodha to their friends, colleagues, and family. As a way of saying thank you, we started our referral program. The idea was simple: if you referred someone to Zerodha, we would share 10% of the brokerage generated by that referral with you, for as long as they traded with us. No ifs and buts. No hidden conditions. And it worked. Until we had to stop the referral program in 2024 due to exchange regulations, close to 30% of our accounts were coming through referrals. But even this understated the true impact of word of mouth. Most people don’t log in to a referral portal or share a referral link. They simply tell a friend, colleague, or family member: “You should open an account with Zerodha. I use it and like it.” Those people then come directly to our website and open an account. So while the attributed referral number was around 30%, the real number was probably well north of 50%. Even after we stopped offering referral incentives, about 15–20% of new accounts continued to come from referrals. That, for us, has always been the biggest validation. We now have regulatory clarity and have restarted referrals. We are also reinstating referral benefits for all old clients who had referred people earlier. This means that anyone who has ever referred clients to Zerodha will get 10% of the brokerage generated by those referrals for as long as they trade with us. You can visit and tell your friends and family about Zerodha. Given that we don’t charge for investing in stocks, ETFs, bonds, and direct mutual funds, and given that AMC is free or nearly zero for most customers under BSDA, there's no reason for you not to refer someone who wants to start saving and investing🙂 Along with Kite, Coin by Zerodha, Console, Varsity, TradingQnA, Tijori, Sensibull - India's No:1 Options Trading Platform, Ditto Insurance, Zerodha Fund House, and the rest of the ecosystem we’ve built around investors and traders, we hope Zerodha remains a good place for your friends and family to begin their investing journey.

Nithin Kamath

71,080 次观看 • 2 个月前

🎭✨ Radio City Music Hall. The Showplace of the Nation! ✨🎭 New York City Nestled in the heart of Rockefeller Center at 1260 6th Avenue, Radio City Music Hall is one of NYC’s most legendary entertainment venues. 💫 🛠️ Built in 1932 by John D. Rockefeller Jr., with design by architect Edward Durell Stone and interiors by Donald Deskey, this Art Deco masterpiece was created during the Great Depression to lift spirits with affordable, world class entertainment. It opened its doors on December 27, 1932. 🌟 It’s hosted countless historic moments, from film premieres to presidential speeches, but it’s the stage where magic really happens. 🎤 Notable performers include: Frank Sinatra, Ella Fitzgerald, Prince, Elton John, Beyoncé, Lady Gaga, Aretha Franklin, Dave Chappelle, Tony Bennett, and more. Even the Rolling Stones and the Grammys have rocked this stage! 👯‍♀️ But nothing’s more iconic than The Rockettes, Radio City’s high kicking precision dance troupe. They’ve been dazzling audiences since opening night in 1932. That’s over 90 years of sparkle, sync, and signature kicks! 🎄 Their most beloved tradition? The Christmas Spectacular Starring the Radio City Rockettes, a holiday must-see since 1933. With the legendary toy soldier fall, a real life nativity scene, and Santa himself, it’s pure Christmas magic. 💡 Fun Facts: •Radio City was nearly demolished in the 1970s, but NYC rallied to save it, it became a landmark in 1978. •The stage’s elevator system was so advanced it inspired WWII aircraft carrier tech. •Its Great Stage is one of the largest in the world and shaped like a giant sunburst! 📸 Whether you’re there for the history, the glamour, or the Rockettes’ glittering precision, Radio City Music Hall is pure New York City magic. 🌆
1:08

🎭✨ Radio City Music Hall. The Showplace of the Nation! ✨🎭 New York City Nestled in the heart of Rockefeller Center at 1260 6th Avenue, Radio City Music Hall is one of NYC’s most legendary entertainment venues. 💫 🛠️ Built in 1932 by John D. Rockefeller Jr., with design by architect Edward Durell Stone and interiors by Donald Deskey, this Art Deco masterpiece was created during the Great Depression to lift spirits with affordable, world class entertainment. It opened its doors on December 27, 1932. 🌟 It’s hosted countless historic moments, from film premieres to presidential speeches, but it’s the stage where magic really happens. 🎤 Notable performers include: Frank Sinatra, Ella Fitzgerald, Prince, Elton John, Beyoncé, Lady Gaga, Aretha Franklin, Dave Chappelle, Tony Bennett, and more. Even the Rolling Stones and the Grammys have rocked this stage! 👯‍♀️ But nothing’s more iconic than The Rockettes, Radio City’s high kicking precision dance troupe. They’ve been dazzling audiences since opening night in 1932. That’s over 90 years of sparkle, sync, and signature kicks! 🎄 Their most beloved tradition? The Christmas Spectacular Starring the Radio City Rockettes, a holiday must-see since 1933. With the legendary toy soldier fall, a real life nativity scene, and Santa himself, it’s pure Christmas magic. 💡 Fun Facts: •Radio City was nearly demolished in the 1970s, but NYC rallied to save it, it became a landmark in 1978. •The stage’s elevator system was so advanced it inspired WWII aircraft carrier tech. •Its Great Stage is one of the largest in the world and shaped like a giant sunburst! 📸 Whether you’re there for the history, the glamour, or the Rockettes’ glittering precision, Radio City Music Hall is pure New York City magic. 🌆

NewYorkCityKopp

17,080 次观看 • 1 年前

🚨 ALERT TEXAS: Shocking Video! A church in Dallas has been converted into a mosque by the Islamic Center of Rowlett—and to raise money, they brought in Siraj Wahhaj, a radical imam named an unindicted co-conspirator in the 1993 World Trade Center bombing. His son is serving life in prison for operating a jihad training camp on U.S. soil. 🎤 At the fundraiser, Wahhaj boasted: -“Muslims are buying churches & synagogues all over America.” - “We are NOT trying to assimilate.” - “Getting involved in politics is not a substitute for jihad.” -“My mission is to go throughout America... to register every Muslim to vote.” “I would prefer to have a Muslim, a true Muslim, as head of the United States Army than an enemy.” But it’s not just what he said. It’s what the mosque’s own promotional video proudly stated: “When the Prophet Muhammad arrived in Medina, the first thing he did was build a mosque.” 💥 That sounds harmless—but here’s what they’re not telling you: The second thing he did? Train his army—which went on to launch ten years of jihad. (That’s not in the video—that’s history they leave out.) 📌 Why does it matter? Because Medina wasn’t just a spiritual turning point—it marked the moment Islam became a political and military force. By invoking Medina, it seems they are signaling a strategic shift: from minority presence to ideological rule. Texans: This is not a drill. This is open ideological conquest. 📽️ Watch the video. Listen carefully. Understand what this means.
8:00

🚨 ALERT TEXAS: Shocking Video! A church in Dallas has been converted into a mosque by the Islamic Center of Rowlett—and to raise money, they brought in Siraj Wahhaj, a radical imam named an unindicted co-conspirator in the 1993 World Trade Center bombing. His son is serving life in prison for operating a jihad training camp on U.S. soil. 🎤 At the fundraiser, Wahhaj boasted: -“Muslims are buying churches & synagogues all over America.” - “We are NOT trying to assimilate.” - “Getting involved in politics is not a substitute for jihad.” -“My mission is to go throughout America... to register every Muslim to vote.” “I would prefer to have a Muslim, a true Muslim, as head of the United States Army than an enemy.” But it’s not just what he said. It’s what the mosque’s own promotional video proudly stated: “When the Prophet Muhammad arrived in Medina, the first thing he did was build a mosque.” 💥 That sounds harmless—but here’s what they’re not telling you: The second thing he did? Train his army—which went on to launch ten years of jihad. (That’s not in the video—that’s history they leave out.) 📌 Why does it matter? Because Medina wasn’t just a spiritual turning point—it marked the moment Islam became a political and military force. By invoking Medina, it seems they are signaling a strategic shift: from minority presence to ideological rule. Texans: This is not a drill. This is open ideological conquest. 📽️ Watch the video. Listen carefully. Understand what this means.

Amy Mek

278,377 次观看 • 1 年前

🦉🍻 HAVE YOU GOT YOUR OWLS IN THE YARD TICKETS YET? 🍻🦉 If you’re wondering what Owls in the Yard is all about, take a look at last year’s event, expertly captured by LensGo Visual Media 🎥 Last year over 1,000 Wednesdayites packed out Steelyard for an afternoon of football, music, beer, family fun and the sort of conversations that usually start with “remember when…” This year we’re going even bigger. So far we’ve got: 🎤 Lexi Whiteside Music opening the show 🎸 TheBlankExpressions playing us out ⚽ The return of the ever-popular Yard Ball 🦉 Family games and activities from Sheffield Wednesday FC Community Programme 🎨 Face painting from Donnas Face Painting 🃏 Our Panini Swap Shop 📖 The launch of the new Everywhere & Nowhere fanzine with Pete Holmes and Everywhere & Nowhere 👕 The ever-popular Tom Burton (@calling_mr_meadows1867 ) 🏟️ A trip down Wednesday memory lane with Sheffield Home of Football And the best bit? We’ve still got more announcements to come. 👀 So grab your mates, bring the kids, dust off your favourite Wednesday shirt and join us on Sunday 2nd August from 1pm at the Steelyard in Sheffied 🎟️ Tickets available now: See you in the yard. 💙🦉 #OwlsInTheYard #SWFC #WAWAW #TheWednesdayWeek
0:58

🦉🍻 HAVE YOU GOT YOUR OWLS IN THE YARD TICKETS YET? 🍻🦉 If you’re wondering what Owls in the Yard is all about, take a look at last year’s event, expertly captured by LensGo Visual Media 🎥 Last year over 1,000 Wednesdayites packed out Steelyard for an afternoon of football, music, beer, family fun and the sort of conversations that usually start with “remember when…” This year we’re going even bigger. So far we’ve got: 🎤 Lexi Whiteside Music opening the show 🎸 TheBlankExpressions playing us out ⚽ The return of the ever-popular Yard Ball 🦉 Family games and activities from Sheffield Wednesday FC Community Programme 🎨 Face painting from Donnas Face Painting 🃏 Our Panini Swap Shop 📖 The launch of the new Everywhere & Nowhere fanzine with Pete Holmes and Everywhere & Nowhere 👕 The ever-popular Tom Burton (@calling_mr_meadows1867 ) 🏟️ A trip down Wednesday memory lane with Sheffield Home of Football And the best bit? We’ve still got more announcements to come. 👀 So grab your mates, bring the kids, dust off your favourite Wednesday shirt and join us on Sunday 2nd August from 1pm at the Steelyard in Sheffied 🎟️ Tickets available now: See you in the yard. 💙🦉 #OwlsInTheYard #SWFC #WAWAW #TheWednesdayWeek

The Wednesday Week Podcast

32,530 次观看 • 1 个月前

BREAKING: Shawn Ryan says he is going into hiding following the release of his most recent episode where he shares an email allegedly sent by Matthew Livelsberger before the Trump hotel explosion. Guest Sam Shoemate says he was sent an email on Tuesday from Livelsberger before the explosion, saying the drones over NJ were operating by the use of a "gravitic propulsion system." Only the US and China have this capability, according to the email. "On December 31st, Sam received an email allegedly from Matthew Livelsberger - who would be named as the perpetrator in the detonation of a Tesla Cybertruck at Trump Tower the following day," Ryan said on YouTube. Here is what the email said, according to Shoe: "In case I do not make it to my decision point or on to the Mexico border I am sending this now. Please do not release this until 1JAN and keep my identity private until then. First off I am not under duress or hostile influence or control. My first car was a 2006 Black Ford Mustang V6 for verification. What we have been seeing with "drones" is the operational use of gravitic propulsion systems powered aircraft by most recently China in the east coast, but throughout history, the US. Only we and China have this capability. Our OPEN location for this activity in the box is below. China has been launching them from the Atlantic from submarines for years, but this activity recently has picked up. As of now, it is just a show of force and they are using it similar to how they used the balloon for sigint and isr, which are also part of the integrated coms system. There are dozens of those balloons in the air at any given time. The so what is because of the speed and stealth of these unmanned AC, they are the most dangerous threat to national security that has ever existed. They basically have an unlimited payload capacity and can park it over the WH if they wanted. It's checkmate. USG needs to give the history of this, how we are employing it and weaponizing it, how China is employing them and what the way forward is. China is poised to attack anywhere in the east coast I've been followed for over a week now from likely homeland or FBI, and they are looking to move on me and are unlikely going to let me cross into Mexico, but won't because they know I am armed and I have a massive VBIED. I've been trying to maintain a very visible profile and have kept my phone and they are definitely digitally tracking me. I have knowledge of this program and also war crimes that were covered up during airstrikes in Nimruz province Afghanistan in 2019 by the admin, DoD, DEA and CIA. I conducted targeting for these strikes of over 125 buildings (65 were struck because of CIVCAS) that killed hundreds of civilians in a single day. USFORA continued strikes after spotting civilians on initial ISR, it was supposed to take 6 minutes and scramble all aircraft in CENTCOM. The UN basically called these war crimes, but the administration made them disappear. I was part of that cover-up with USFORA and Agent [Redacted] of the DEA. So I don't know if my abduction attempt is related to either. I worked with GEN Millers 10 staff on this as well as the response to Bala Murghab. AOB-S Commander at the time. [Redacted] can validate this. You need to elevate this to the media so we avoid a world war because this is a mutually assured destruction situation. For vetting my Linkedin is Matt Berg or Matthew Livelsberger, an active duty 18Z out of 1-10 my profile is public. I have an active TSSCI with UAP USAP access." Video: Shawn Ryan
11:42

BREAKING: Shawn Ryan says he is going into hiding following the release of his most recent episode where he shares an email allegedly sent by Matthew Livelsberger before the Trump hotel explosion. Guest Sam Shoemate says he was sent an email on Tuesday from Livelsberger before the explosion, saying the drones over NJ were operating by the use of a "gravitic propulsion system." Only the US and China have this capability, according to the email. "On December 31st, Sam received an email allegedly from Matthew Livelsberger - who would be named as the perpetrator in the detonation of a Tesla Cybertruck at Trump Tower the following day," Ryan said on YouTube. Here is what the email said, according to Shoe: "In case I do not make it to my decision point or on to the Mexico border I am sending this now. Please do not release this until 1JAN and keep my identity private until then. First off I am not under duress or hostile influence or control. My first car was a 2006 Black Ford Mustang V6 for verification. What we have been seeing with "drones" is the operational use of gravitic propulsion systems powered aircraft by most recently China in the east coast, but throughout history, the US. Only we and China have this capability. Our OPEN location for this activity in the box is below. China has been launching them from the Atlantic from submarines for years, but this activity recently has picked up. As of now, it is just a show of force and they are using it similar to how they used the balloon for sigint and isr, which are also part of the integrated coms system. There are dozens of those balloons in the air at any given time. The so what is because of the speed and stealth of these unmanned AC, they are the most dangerous threat to national security that has ever existed. They basically have an unlimited payload capacity and can park it over the WH if they wanted. It's checkmate. USG needs to give the history of this, how we are employing it and weaponizing it, how China is employing them and what the way forward is. China is poised to attack anywhere in the east coast I've been followed for over a week now from likely homeland or FBI, and they are looking to move on me and are unlikely going to let me cross into Mexico, but won't because they know I am armed and I have a massive VBIED. I've been trying to maintain a very visible profile and have kept my phone and they are definitely digitally tracking me. I have knowledge of this program and also war crimes that were covered up during airstrikes in Nimruz province Afghanistan in 2019 by the admin, DoD, DEA and CIA. I conducted targeting for these strikes of over 125 buildings (65 were struck because of CIVCAS) that killed hundreds of civilians in a single day. USFORA continued strikes after spotting civilians on initial ISR, it was supposed to take 6 minutes and scramble all aircraft in CENTCOM. The UN basically called these war crimes, but the administration made them disappear. I was part of that cover-up with USFORA and Agent [Redacted] of the DEA. So I don't know if my abduction attempt is related to either. I worked with GEN Millers 10 staff on this as well as the response to Bala Murghab. AOB-S Commander at the time. [Redacted] can validate this. You need to elevate this to the media so we avoid a world war because this is a mutually assured destruction situation. For vetting my Linkedin is Matt Berg or Matthew Livelsberger, an active duty 18Z out of 1-10 my profile is public. I have an active TSSCI with UAP USAP access." Video: Shawn Ryan

Collin Rugg

8,740,081 次观看 • 1 年前

Here is my full daily routine and scan process I follow. I swing trade stocks, and do all of my work in the last 30 min of the trading day. That's how I manage to average 100%+ returns/year with -10% max DD, entering my trades EOD. If you don't have a daily routine/process you adhere to, it will be almost impossible to make money swing trading stocks in the long term. I have the same routine and scanning process I followed for the past 6 years without fail. That's how you build consistency in your own trading and your setup/system/strategy. If you don't have a solid process you repeat every single day, you would be doing random stuff. Random stuff = losing money. Here is how my day goes: --> 3:30pm EST - I get to my laptop (yes, ditched the 5 monitors for a single laptop), - open up my software (TC2000, TradingView, and TWS) - And begin scanning on my long, short, and ETF scans on TradingView (see video attached for scan details and layout ✅) --> 3:50pm EST By this time, I: - already know which stocks are giving my signals according to my system, - I sort them in TradingView by ADR %, - And prioritize if I have more than 5 signals (that's my max limit per day) --> 3:58pm EST - Now I pre-loaded my orders on TWS, - check my position size to have a 1% risk per trade in all positions, - and execute just before the close --> 4:01pm EST - Markets are closed, so I add my Stop Loss and BE alarm - close my computer, and come back tomorrow in the last 30 minutes before the close and repeat... As you see, once you have your system and process in place, you can execute your system flawlessly, and that's what brings consistency and growth to your account over days, weeks, months, and years of doing the same thing over and over again... Build your process, and execute every day and you will grow with your system 📈
0:27

Here is my full daily routine and scan process I follow. I swing trade stocks, and do all of my work in the last 30 min of the trading day. That's how I manage to average 100%+ returns/year with -10% max DD, entering my trades EOD. If you don't have a daily routine/process you adhere to, it will be almost impossible to make money swing trading stocks in the long term. I have the same routine and scanning process I followed for the past 6 years without fail. That's how you build consistency in your own trading and your setup/system/strategy. If you don't have a solid process you repeat every single day, you would be doing random stuff. Random stuff = losing money. Here is how my day goes: --> 3:30pm EST - I get to my laptop (yes, ditched the 5 monitors for a single laptop), - open up my software (TC2000, TradingView, and TWS) - And begin scanning on my long, short, and ETF scans on TradingView (see video attached for scan details and layout ✅) --> 3:50pm EST By this time, I: - already know which stocks are giving my signals according to my system, - I sort them in TradingView by ADR %, - And prioritize if I have more than 5 signals (that's my max limit per day) --> 3:58pm EST - Now I pre-loaded my orders on TWS, - check my position size to have a 1% risk per trade in all positions, - and execute just before the close --> 4:01pm EST - Markets are closed, so I add my Stop Loss and BE alarm - close my computer, and come back tomorrow in the last 30 minutes before the close and repeat... As you see, once you have your system and process in place, you can execute your system flawlessly, and that's what brings consistency and growth to your account over days, weeks, months, and years of doing the same thing over and over again... Build your process, and execute every day and you will grow with your system 📈

Felipe Guirao

30,972 次观看 • 8 个月前

Woot woot! THE BIG DAY IS HERE. Eddie AI v2! Download it: It’s been a sprint pace to cover a marathon distance. We launched Eddie AI v1 in October last year. Thousands of new users. Lots of feature requests. Learned a ton. (Yes, Paul Graham is right: ship early and often!) Eddie AI v2 releases three big advancements. And underpinning those decisions are the learnings baked in. 1. Eddie now runs locally on Macs and Windows. Our native apps are out of beta and available to everyone. Video is large. The video files used by video professionals are even larger. No one wants to wait around uploading. Native applications make it MUCH MUCH faster to import and thus much faster to get on with editing. One of the challenges with Eddie is how do we *quickly* get the user to aha – that moment where they can see the magic of this assistant AI video editor – if it takes awhile to upload files. These native applications are a big step towards getting to aha, swiftly, and help deliver on our promise to save customers time. 2. Analyze raw footage, aka logging interviews and B-rolls. Eddie v1 only created edits. But users were asking for a step before the edit too. They want their footage logged – what happened in this shot, who said what, etc – and grouped logically with this metadata back in their video editing application. We released a test of this a month ago. Users were blown away by the accuracy of the AI, the rich descriptions, and how the metadata seamlessly is sent to their video editing application where they can find the right shot when they need. We were blown away by the usage of this feature. Logging is now updated and released to all in v2. 3. Rough cut mode. This is the big dream: Eddie is the AI assistant video editor. There’s a lot of tedious work in video editing. Eddie takes it on. And helps you get to a great story faster. Sorting through hours of interviews and finding great soundbites that can be cut together to form a coherent story is a big step toward this dream. We attempted to do this in v1. But the prompt box was too open ended. People were typing in things like “Cut me a great story” and the subjectivity of the statement led to variable results. So we re-thought the story crafting process. We added friction. YES you read that correctly. We added friction into the product that slows the customer down. BUT they get much better results, reliably. And that trade-off is well worth it. Eddie now takes a step-by-step approach with you on crafting your story. It aligns with you on the story framework and then cuts chapter by chapter with your feedback. What used to take days, now takes minutes. We spent months hacking at LLMs to make them able to provide coherent edits over a longer duration and handle a large amount of source material (aka context-window problem). It’s ready for release. Version 2.0 is here. Download Eddie at
3:48

Woot woot! THE BIG DAY IS HERE. Eddie AI v2! Download it: It’s been a sprint pace to cover a marathon distance. We launched Eddie AI v1 in October last year. Thousands of new users. Lots of feature requests. Learned a ton. (Yes, Paul Graham is right: ship early and often!) Eddie AI v2 releases three big advancements. And underpinning those decisions are the learnings baked in. 1. Eddie now runs locally on Macs and Windows. Our native apps are out of beta and available to everyone. Video is large. The video files used by video professionals are even larger. No one wants to wait around uploading. Native applications make it MUCH MUCH faster to import and thus much faster to get on with editing. One of the challenges with Eddie is how do we *quickly* get the user to aha – that moment where they can see the magic of this assistant AI video editor – if it takes awhile to upload files. These native applications are a big step towards getting to aha, swiftly, and help deliver on our promise to save customers time. 2. Analyze raw footage, aka logging interviews and B-rolls. Eddie v1 only created edits. But users were asking for a step before the edit too. They want their footage logged – what happened in this shot, who said what, etc – and grouped logically with this metadata back in their video editing application. We released a test of this a month ago. Users were blown away by the accuracy of the AI, the rich descriptions, and how the metadata seamlessly is sent to their video editing application where they can find the right shot when they need. We were blown away by the usage of this feature. Logging is now updated and released to all in v2. 3. Rough cut mode. This is the big dream: Eddie is the AI assistant video editor. There’s a lot of tedious work in video editing. Eddie takes it on. And helps you get to a great story faster. Sorting through hours of interviews and finding great soundbites that can be cut together to form a coherent story is a big step toward this dream. We attempted to do this in v1. But the prompt box was too open ended. People were typing in things like “Cut me a great story” and the subjectivity of the statement led to variable results. So we re-thought the story crafting process. We added friction. YES you read that correctly. We added friction into the product that slows the customer down. BUT they get much better results, reliably. And that trade-off is well worth it. Eddie now takes a step-by-step approach with you on crafting your story. It aligns with you on the story framework and then cuts chapter by chapter with your feedback. What used to take days, now takes minutes. We spent months hacking at LLMs to make them able to provide coherent edits over a longer duration and handle a large amount of source material (aka context-window problem). It’s ready for release. Version 2.0 is here. Download Eddie at

Shamir Allibhai

57,672 次观看 • 1 年前

🚨 TYLER ROBINSON PRELIMINARY HEARING, DAY 1 The first officer on the roof, the one who located the alleged sniper's perch, just testified under oath. 🎤⚖️ Here's what he actually found up there. 🚫 NO spent casings. He testified he'd "been around guns and snipers all the time," went looking over the edge, checked the gravel, found nothing. 🚫 NO unshot bullets either. Then the defense asked: were you aware of a bullet found on ANOTHER roof? 🏢 A separate bullet found somewhere else on scene, not on the Losee building? His answer: no. So where did that come from. 🤔 Who's tracking it. Nobody on the stand today, so far. Now the identification. 👀 He watched the roof video at the police department. The defense walked him through it point by point: Could you identify the face? ❌ No. Markings on the clothing? ❌ No. Their height? ❌ No. A hat, anything on their head? ❌ No. The ONLY thing this officer could tell you about the person on that roof is that he "wasn't heavyset." Not fat. That's the identifying feature. That's it. 🤯 And the weapon? 🔫 He testified he saw a "long black object" in the left hand as the person crossed the roof. He could NOT say it was a gun. In his own written report, he never wrote "gun." Just an object. Wrapped in what he thinks was a towel or a blanket, he wasn't sure which. Then the closer. 🎯 Defense: when you left campus at 9pm that night, did you or anyone know who the shooter was? Officer: not that I know of. Next morning, worked all day. Same question. Anyone on that campus identify the shooter? Officer: not that I know of. No casings. No bullets where they should be. A phantom bullet on another roof. No face, no height, no markings. A "long object," not a confirmed gun. And 27 minutes of bodycam that cut out because the battery "went dead" at that exact moment. 📹🔋 Charged. Not convicted. ⚖️ You can come here for Tyler Robinson Preliminary Hearing reporting and the same goes for if we hit trial. 📌 God bless America! 🇺🇸 Lobbying Kills. 💀
5:46

🚨 TYLER ROBINSON PRELIMINARY HEARING, DAY 1 The first officer on the roof, the one who located the alleged sniper's perch, just testified under oath. 🎤⚖️ Here's what he actually found up there. 🚫 NO spent casings. He testified he'd "been around guns and snipers all the time," went looking over the edge, checked the gravel, found nothing. 🚫 NO unshot bullets either. Then the defense asked: were you aware of a bullet found on ANOTHER roof? 🏢 A separate bullet found somewhere else on scene, not on the Losee building? His answer: no. So where did that come from. 🤔 Who's tracking it. Nobody on the stand today, so far. Now the identification. 👀 He watched the roof video at the police department. The defense walked him through it point by point: Could you identify the face? ❌ No. Markings on the clothing? ❌ No. Their height? ❌ No. A hat, anything on their head? ❌ No. The ONLY thing this officer could tell you about the person on that roof is that he "wasn't heavyset." Not fat. That's the identifying feature. That's it. 🤯 And the weapon? 🔫 He testified he saw a "long black object" in the left hand as the person crossed the roof. He could NOT say it was a gun. In his own written report, he never wrote "gun." Just an object. Wrapped in what he thinks was a towel or a blanket, he wasn't sure which. Then the closer. 🎯 Defense: when you left campus at 9pm that night, did you or anyone know who the shooter was? Officer: not that I know of. Next morning, worked all day. Same question. Anyone on that campus identify the shooter? Officer: not that I know of. No casings. No bullets where they should be. A phantom bullet on another roof. No face, no height, no markings. A "long object," not a confirmed gun. And 27 minutes of bodycam that cut out because the battery "went dead" at that exact moment. 📹🔋 Charged. Not convicted. ⚖️ You can come here for Tyler Robinson Preliminary Hearing reporting and the same goes for if we hit trial. 📌 God bless America! 🇺🇸 Lobbying Kills. 💀

Danks

139,196 次观看 • 1 个月前

DeepFreeze on the XRP Ledger – A Comprehensive Examination We need to discuss an amendment that went unnoticed for a long time: DeepFreeze. If you are to lazy to read, just watch the video. Eminence is already voting for its activation, and I urge my fellow node operators and the community to support it. Let’s look at why. Welcome to a detailed examination of DeepFreeze, a transformative feature introduced to the XRP Ledger. This amendment is critical for institutional asset management within the ledger ecosystem. In this analysis, we’ll explore the full scope of DeepFreeze—its definition, technical architecture, institutional significance, community development, and long-term implications for XRPL’s role in financial systems. This is a deep dive into a feature that could redefine blockchain compliance and adoption. What exactly is DeepFreeze? DeepFreeze is an advanced asset-freezing mechanism integrated into the XRPL, tailored explicitly for fungible tokens issued on the ledger, such as stablecoins and tokenised real-world assets. Unlike XRP, which remains unaffected due to its native status, issued tokens fall under the control of their issuers, who can now leverage DeepFreeze for unprecedented oversight. The standard freeze, a pre-existing feature, restricts an account to only receiving tokens, preventing outward transfers. DeepFreeze, however, escalates this control by prohibiting both sending and receiving, effectively isolating the account from all token-related activities except direct transactions with the issuer. According to the XRPL documentation, available at DeepFreeze requires the activation of the DeepFreeze amendment—a network-wide upgrade voted on by XRPL validators. It cannot be applied if the issuer has set the NoFreeze flag on their account, a safeguard that permanently disables freezing capabilities for that issuer’s tokens. This layered design ensures flexibility while prioritising compliance, making DeepFreeze a powerful tool for managing token ecosystems in regulated environments. The significance for Institutions. The significance of DeepFreeze becomes evident when viewed through an institutional lens. For financial entities—such as central banks issuing central bank digital currencies (CBDCs), or stablecoin providers like Ripple’s RLUSD, Societe Generale Group Forge’s EURCV, and Braza Bank’s BBRL—this feature offers a robust mechanism to enforce regulatory compliance. Consider a scenario where an account is identified on an international sanctions list, such as those maintained by the U.S. Office of Foreign Assets Control (OFAC Treasury Department). DeepFreeze allows the issuer to immediately halt all token activity for that account, preventing inflows or outflows that could violate anti-money laundering (AML) or know-your-customer (KYC) regulations. Beyond sanctions, DeepFreeze addresses fraud mitigation. If a stablecoin issuer detects suspicious activity—a hacked account attempting to siphon funds—they can deep-freeze it, stopping the damage while investigations unfold. A article underscores this utility, noting that the standard freeze’s limitation—allowing incoming transfers—falls short for high-stakes compliance needs. DeepFreeze’s total lockdown fills this gap, enhancing security and trust. This capability could attract major regulated entities like Circle, issuer of USDC, to deploy stablecoins on the XRPL, drawn by its compliance-ready infrastructure. Such adoption would increase token volume, liquidity, and the ledger’s utility for real-world asset tokenization—think real estate or commodities—positioning the XRPL as a leader in institutional blockchain applications. The Technical Mechanics. (This is a bit technical) Let’s examine the technical architecture underpinning DeepFreeze, which introduces specific flags to the XRPL’s ledger structure. These flags, detailed in the XRPL documentation, govern trust lines—the bilateral agreements between accounts that enable token holding—and enforce the freeze’s effects. Here’s how they work: The lsfLowDeepFreeze flag is set on the RippleState object to indicate that the low account in a trust line is deep-frozen. This prevents the high account from sending or receiving the token along that trust line, effectively severing its transactional capability. Conversely, the lsfHighDeepFreeze flag marks the high account as deep-frozen, blocking the low account from similar activities. This bidirectional control ensures symmetry in enforcement. In TrustSet transactions, issuers use the tfSetDeepFreeze flag, to apply the DeepFreeze to a specific trust line, activating the lockdown. To reverse this, the tfClearDeepFreeze flag is invoked in a TrustSet transaction, restoring normal functionality to the trust line. These flags have sweeping effects across XRPL operations. Payments to a deep-frozen account fail outright, with the transaction engine returning a tecDSTfrozen error if the destination is locked. Rippling—where tokens pass through intermediary accounts—ceases for deep-frozen trust lines, halting multi-hop transfers. On the decentralized exchange (DEX) and automated market maker (AMM) systems, OfferCreate transactions involving a deep-frozen TakerPays token fail with a tecFROZEN error, and existing offers tied to frozen accounts are implicitly canceled when crossed by new offers, rendering them unfunded. The GitHub discussion at XRPLF/XRPL-Standards #220 adds further nuance, noting impacts on Check transactions—a feature for deferred payments. CheckCash fails if the recipient’s trust line is deep-frozen, protecting against unauthorized redemption, though CheckCreate and CheckCancel remain unaffected, preserving issuer flexibility. This granular control reflects DeepFreeze’s design for precision in compliance-driven scenarios. Community Development. The development of DeepFreeze highlights the XRPL community’s collaborative strength. On August 26, 2024, Shawn Xie of Ripple initiated the XLS-77d proposal in a GitHub discussion, accessible at XRPLF/XRPL-Standards #220. Spanning six comments and seven replies, the thread reveals active engagement. One participant (Wietse Wind - 🪝☝️🛠 Xaman® + XRPL + Xahau) suggested renaming ‘blackholing’—disabling an account permanently—to ‘permafrosting,’ arguing it better conveys the frozen state’s permanence and aligns with DeepFreeze’s theme. This linguistic refinement, while minor, exemplifies community influence on usability. Technical clarifications also emerged. The discussion distinguishes DeepFreeze from GlobalFreeze, which freezes all trust lines for an issuer’s tokens, noting that DeepFreeze targets specific trust lines for finer control. A question arose about rare cases where the standard tfSetFreeze might suffice—such as temporary holds—but the consensus favored DeepFreeze’s comprehensive approach for most compliance needs. The proposal, now in draft status, was merged into the rippled software codebase via pull request XRPLF/rippled #5187, confirming its deployment readiness as of March 19, 2025. This milestone underscores XRPL’s commitment to evolving through community-driven innovation. The Institutional Impact. From an institutional standpoint, DeepFreeze addresses critical gaps in the standard freeze’s functionality. The article explains that the older mechanism, while useful, permitted incoming transfers and balance adjustments, rendering it inadequate for scenarios requiring total isolation—such as sanctions enforcement or fraud containment. DeepFreeze’s ability to block all activity offers a superior solution, tailored to the demands of regulated finance. Consider its applications: a stablecoin issuer like Ripple could deep-freeze an account suspected of laundering funds, halting its operations pending review. A tokenized real estate platform could use it to secure assets during legal disputes, ensuring no unauthorized transfers occur. For sanctions, it ensures compliance with global frameworks, preventing tokens from reaching blacklisted entities. These use cases enhance the XRPL’s appeal to institutional players, potentially drawing Circle’s USDC or other major stablecoins to the ledger. The ripple effect—pardon the pun—could be substantial. Increased institutional adoption would boost token issuance, trading volume, and liquidity, reinforcing XRPL’s infrastructure for real-world asset tokenization. This aligns with broader trends in blockchain finance, where compliance-ready platforms are increasingly favored by traditional institutions seeking to integrate digital assets. Conclusion and Implications. In conclusion, DeepFreeze represents a strategic leap forward for the XRP Ledger, harmonizing technological sophistication with regulatory necessity. By equipping issuers with comprehensive control over their tokens, it addresses the compliance and security needs of institutional users, from stablecoin providers to asset tokenizers. As of March 19, 2025, its technical implementation is mature, its community support robust, and its potential to drive XRPL adoption undeniable. Looking ahead, DeepFreeze could position the XRPL as a premier blockchain for regulated financial applications, bridging the gap between decentralized innovation and centralized oversight. Its success will depend on validator adoption of the DeepFreeze amendment and real-world uptake by institutions—a process already underway. For a deeper understanding, refer to the XRPL documentation, the article, and the GitHub discussion linked below. DeepFreeze is more than a feature—it’s a foundation for the XRPL’s future in institutional finance. How do you envision its impact on the blockchain landscape? Your perspectives are welcome. PS: This is by far the most exciting amendment since XLS20, but of course, your average influencer doesn't talk about it in his paid group or while he is siphoning your donations. Unfollow them today. ################## Ressouces: XRPL Docs: XLS-77d: Devto Article: Misunderstandings about Freezes: Amendment voting: If you want to support what I do, follow me and buy me a beer or just use one of the CasinoCoin/LuckyHash 🪝 partners for recreational gaming: Check out my other explainers:
11:51

DeepFreeze on the XRP Ledger – A Comprehensive Examination We need to discuss an amendment that went unnoticed for a long time: DeepFreeze. If you are to lazy to read, just watch the video. Eminence is already voting for its activation, and I urge my fellow node operators and the community to support it. Let’s look at why. Welcome to a detailed examination of DeepFreeze, a transformative feature introduced to the XRP Ledger. This amendment is critical for institutional asset management within the ledger ecosystem. In this analysis, we’ll explore the full scope of DeepFreeze—its definition, technical architecture, institutional significance, community development, and long-term implications for XRPL’s role in financial systems. This is a deep dive into a feature that could redefine blockchain compliance and adoption. What exactly is DeepFreeze? DeepFreeze is an advanced asset-freezing mechanism integrated into the XRPL, tailored explicitly for fungible tokens issued on the ledger, such as stablecoins and tokenised real-world assets. Unlike XRP, which remains unaffected due to its native status, issued tokens fall under the control of their issuers, who can now leverage DeepFreeze for unprecedented oversight. The standard freeze, a pre-existing feature, restricts an account to only receiving tokens, preventing outward transfers. DeepFreeze, however, escalates this control by prohibiting both sending and receiving, effectively isolating the account from all token-related activities except direct transactions with the issuer. According to the XRPL documentation, available at DeepFreeze requires the activation of the DeepFreeze amendment—a network-wide upgrade voted on by XRPL validators. It cannot be applied if the issuer has set the NoFreeze flag on their account, a safeguard that permanently disables freezing capabilities for that issuer’s tokens. This layered design ensures flexibility while prioritising compliance, making DeepFreeze a powerful tool for managing token ecosystems in regulated environments. The significance for Institutions. The significance of DeepFreeze becomes evident when viewed through an institutional lens. For financial entities—such as central banks issuing central bank digital currencies (CBDCs), or stablecoin providers like Ripple’s RLUSD, Societe Generale Group Forge’s EURCV, and Braza Bank’s BBRL—this feature offers a robust mechanism to enforce regulatory compliance. Consider a scenario where an account is identified on an international sanctions list, such as those maintained by the U.S. Office of Foreign Assets Control (OFAC Treasury Department). DeepFreeze allows the issuer to immediately halt all token activity for that account, preventing inflows or outflows that could violate anti-money laundering (AML) or know-your-customer (KYC) regulations. Beyond sanctions, DeepFreeze addresses fraud mitigation. If a stablecoin issuer detects suspicious activity—a hacked account attempting to siphon funds—they can deep-freeze it, stopping the damage while investigations unfold. A article underscores this utility, noting that the standard freeze’s limitation—allowing incoming transfers—falls short for high-stakes compliance needs. DeepFreeze’s total lockdown fills this gap, enhancing security and trust. This capability could attract major regulated entities like Circle, issuer of USDC, to deploy stablecoins on the XRPL, drawn by its compliance-ready infrastructure. Such adoption would increase token volume, liquidity, and the ledger’s utility for real-world asset tokenization—think real estate or commodities—positioning the XRPL as a leader in institutional blockchain applications. The Technical Mechanics. (This is a bit technical) Let’s examine the technical architecture underpinning DeepFreeze, which introduces specific flags to the XRPL’s ledger structure. These flags, detailed in the XRPL documentation, govern trust lines—the bilateral agreements between accounts that enable token holding—and enforce the freeze’s effects. Here’s how they work: The lsfLowDeepFreeze flag is set on the RippleState object to indicate that the low account in a trust line is deep-frozen. This prevents the high account from sending or receiving the token along that trust line, effectively severing its transactional capability. Conversely, the lsfHighDeepFreeze flag marks the high account as deep-frozen, blocking the low account from similar activities. This bidirectional control ensures symmetry in enforcement. In TrustSet transactions, issuers use the tfSetDeepFreeze flag, to apply the DeepFreeze to a specific trust line, activating the lockdown. To reverse this, the tfClearDeepFreeze flag is invoked in a TrustSet transaction, restoring normal functionality to the trust line. These flags have sweeping effects across XRPL operations. Payments to a deep-frozen account fail outright, with the transaction engine returning a tecDSTfrozen error if the destination is locked. Rippling—where tokens pass through intermediary accounts—ceases for deep-frozen trust lines, halting multi-hop transfers. On the decentralized exchange (DEX) and automated market maker (AMM) systems, OfferCreate transactions involving a deep-frozen TakerPays token fail with a tecFROZEN error, and existing offers tied to frozen accounts are implicitly canceled when crossed by new offers, rendering them unfunded. The GitHub discussion at XRPLF/XRPL-Standards #220 adds further nuance, noting impacts on Check transactions—a feature for deferred payments. CheckCash fails if the recipient’s trust line is deep-frozen, protecting against unauthorized redemption, though CheckCreate and CheckCancel remain unaffected, preserving issuer flexibility. This granular control reflects DeepFreeze’s design for precision in compliance-driven scenarios. Community Development. The development of DeepFreeze highlights the XRPL community’s collaborative strength. On August 26, 2024, Shawn Xie of Ripple initiated the XLS-77d proposal in a GitHub discussion, accessible at XRPLF/XRPL-Standards #220. Spanning six comments and seven replies, the thread reveals active engagement. One participant (Wietse Wind - 🪝☝️🛠 Xaman® + XRPL + Xahau) suggested renaming ‘blackholing’—disabling an account permanently—to ‘permafrosting,’ arguing it better conveys the frozen state’s permanence and aligns with DeepFreeze’s theme. This linguistic refinement, while minor, exemplifies community influence on usability. Technical clarifications also emerged. The discussion distinguishes DeepFreeze from GlobalFreeze, which freezes all trust lines for an issuer’s tokens, noting that DeepFreeze targets specific trust lines for finer control. A question arose about rare cases where the standard tfSetFreeze might suffice—such as temporary holds—but the consensus favored DeepFreeze’s comprehensive approach for most compliance needs. The proposal, now in draft status, was merged into the rippled software codebase via pull request XRPLF/rippled #5187, confirming its deployment readiness as of March 19, 2025. This milestone underscores XRPL’s commitment to evolving through community-driven innovation. The Institutional Impact. From an institutional standpoint, DeepFreeze addresses critical gaps in the standard freeze’s functionality. The article explains that the older mechanism, while useful, permitted incoming transfers and balance adjustments, rendering it inadequate for scenarios requiring total isolation—such as sanctions enforcement or fraud containment. DeepFreeze’s ability to block all activity offers a superior solution, tailored to the demands of regulated finance. Consider its applications: a stablecoin issuer like Ripple could deep-freeze an account suspected of laundering funds, halting its operations pending review. A tokenized real estate platform could use it to secure assets during legal disputes, ensuring no unauthorized transfers occur. For sanctions, it ensures compliance with global frameworks, preventing tokens from reaching blacklisted entities. These use cases enhance the XRPL’s appeal to institutional players, potentially drawing Circle’s USDC or other major stablecoins to the ledger. The ripple effect—pardon the pun—could be substantial. Increased institutional adoption would boost token issuance, trading volume, and liquidity, reinforcing XRPL’s infrastructure for real-world asset tokenization. This aligns with broader trends in blockchain finance, where compliance-ready platforms are increasingly favored by traditional institutions seeking to integrate digital assets. Conclusion and Implications. In conclusion, DeepFreeze represents a strategic leap forward for the XRP Ledger, harmonizing technological sophistication with regulatory necessity. By equipping issuers with comprehensive control over their tokens, it addresses the compliance and security needs of institutional users, from stablecoin providers to asset tokenizers. As of March 19, 2025, its technical implementation is mature, its community support robust, and its potential to drive XRPL adoption undeniable. Looking ahead, DeepFreeze could position the XRPL as a premier blockchain for regulated financial applications, bridging the gap between decentralized innovation and centralized oversight. Its success will depend on validator adoption of the DeepFreeze amendment and real-world uptake by institutions—a process already underway. For a deeper understanding, refer to the XRPL documentation, the article, and the GitHub discussion linked below. DeepFreeze is more than a feature—it’s a foundation for the XRPL’s future in institutional finance. How do you envision its impact on the blockchain landscape? Your perspectives are welcome. PS: This is by far the most exciting amendment since XLS20, but of course, your average influencer doesn't talk about it in his paid group or while he is siphoning your donations. Unfollow them today. ################## Ressouces: XRPL Docs: XLS-77d: Devto Article: Misunderstandings about Freezes: Amendment voting: If you want to support what I do, follow me and buy me a beer or just use one of the CasinoCoin/LuckyHash 🪝 partners for recreational gaming: Check out my other explainers:

Daniel "CEO of the XRPL" Keller

163,345 次观看 • 1 年前

DON'T LET YOUR BITCOIN DIE WITH YOU 💀 ⚰️ Yea look, nobody likes to admit it but we all have to die one day. As I've been talking to people about their self custody lately - both Casa members and not - I hear the same thing over and over. "What happens if I die?" Many people feel pretty good about their bitcoin security for themselves. But their family members often have no idea how to use this stuff. Hardware wallet? Seed phrase stamped on metal? Shamir's secret sharing backups using SD cards, a passphrase, and a treasure hunt through the backyard with a shovel? 😵 We're solving that problem for all Casa members, starting today with Casa Inheritance. A key design principle we kept while building this was to make it as simple as possible for Recipients (your family members that will receive your bitcoin if you pass), while maintaining Casa-level security. An estate transfer is already a stressful time for family, and it can become even more stressful if you add in a crazy treasure hunt to access a fortune in bitcoin. For our basic 3 key vaults, we wanted it to be as easy as using the app. No metal plates, no need to use a hardware wallet, no magic passwords you have to keep track of or else risk messing up the asset transfer. Simplicity is security. So how does it work, in detail? A Vault Owner (Casa member) designates a Recipient (their family or friend) in the Casa app. The Recipient receives an invite to create a free Casa account. The Recipient scans a QR code provided by the Vault Owner, which contains an encrypted version of the owner's mobile key. This encrypted key is only able to be imported by the Recipient's Casa account, and the Recipient can't initially use it or see the vault balance. If the Vault Owner passes away, the Recipient can request access to the vault in their Casa app. This starts a 6 month timer, and sends a ton of notifications every month to the owner. If the owner is still alive, they can reject the request in app. If they are not, the timer will run out. When it does, the Recipient will be able to use the shared mobile key and the request a signature from the Casa Recovery Key for the shared vault. This gives them 2 out of 3 signatures, enough to access the assets. For 5 key vault users, one hardware key is shared with the Recipient. This small increase in friction for Recipients is often worth it for the increased security and resilience of a 5 key vault for larger holdings. To summarize now that you have the details: 1. Share keys and vault access during setup 2. 6 month timelock to ensure no malicious theft 3. Use shared keys and Casa key to access assets Full setup takes less than 5 minutes. Inheritance is one of the biggest problems in self custody today. If you've hodled through years of painful bear markets, you owe it to yourself and your family to not let the reward for that patience go to zero because you didn't have a plan - and we're here to make that easy. Check out the video to see how easy it really is. Like I said earlier this week - Casa is going after major problems in self-custody this year. Check this one off the list ✅. Next one coming sooner than you think 🔥.
1:17

DON'T LET YOUR BITCOIN DIE WITH YOU 💀 ⚰️ Yea look, nobody likes to admit it but we all have to die one day. As I've been talking to people about their self custody lately - both Casa members and not - I hear the same thing over and over. "What happens if I die?" Many people feel pretty good about their bitcoin security for themselves. But their family members often have no idea how to use this stuff. Hardware wallet? Seed phrase stamped on metal? Shamir's secret sharing backups using SD cards, a passphrase, and a treasure hunt through the backyard with a shovel? 😵 We're solving that problem for all Casa members, starting today with Casa Inheritance. A key design principle we kept while building this was to make it as simple as possible for Recipients (your family members that will receive your bitcoin if you pass), while maintaining Casa-level security. An estate transfer is already a stressful time for family, and it can become even more stressful if you add in a crazy treasure hunt to access a fortune in bitcoin. For our basic 3 key vaults, we wanted it to be as easy as using the app. No metal plates, no need to use a hardware wallet, no magic passwords you have to keep track of or else risk messing up the asset transfer. Simplicity is security. So how does it work, in detail? A Vault Owner (Casa member) designates a Recipient (their family or friend) in the Casa app. The Recipient receives an invite to create a free Casa account. The Recipient scans a QR code provided by the Vault Owner, which contains an encrypted version of the owner's mobile key. This encrypted key is only able to be imported by the Recipient's Casa account, and the Recipient can't initially use it or see the vault balance. If the Vault Owner passes away, the Recipient can request access to the vault in their Casa app. This starts a 6 month timer, and sends a ton of notifications every month to the owner. If the owner is still alive, they can reject the request in app. If they are not, the timer will run out. When it does, the Recipient will be able to use the shared mobile key and the request a signature from the Casa Recovery Key for the shared vault. This gives them 2 out of 3 signatures, enough to access the assets. For 5 key vault users, one hardware key is shared with the Recipient. This small increase in friction for Recipients is often worth it for the increased security and resilience of a 5 key vault for larger holdings. To summarize now that you have the details: 1. Share keys and vault access during setup 2. 6 month timelock to ensure no malicious theft 3. Use shared keys and Casa key to access assets Full setup takes less than 5 minutes. Inheritance is one of the biggest problems in self custody today. If you've hodled through years of painful bear markets, you owe it to yourself and your family to not let the reward for that patience go to zero because you didn't have a plan - and we're here to make that easy. Check out the video to see how easy it really is. Like I said earlier this week - Casa is going after major problems in self-custody this year. Check this one off the list ✅. Next one coming sooner than you think 🔥.

Nick Neuman

125,739 次观看 • 2 年前

🚨SHOCKING: Candace Owens Has An EPIPHANY That BLOWS The Charlie Kirk Case WIDE Open —Plus NEW Updated Plane List🤯 You have to watch this immediately. Candace was going over the updated plane list for September 10th, and SHE HAD A REVELATION LIVE ON AIR that changes everything. She just dismantled the official story about the infamous "tarmac hug" between Erika Kirk and Andrew Kolvet. Here is the anatomy of the breakdown: 🔍 THE MISSING WIFE: Andrew Kolvet claims he flew in with his wife on a charter plane that landed at 4:36 PM. But Candace just realized: WHERE IS THE WIFE? Nobody remembers seeing her at the tarmac hug. Nobody remembers seeing her enter the hospital with Andrew. Candace's epiphany: "Andrew's wife is missing... He went into a separate entrance. Why would you wait for an hour and then not even enter together?" 🕵️‍♂️ THE MILITARY CONNECTION: Forget the standard charters. Candace is now looking at a very interesting plane: N40JD. It's owned by Jason Nupp, Chief Commander of the Naval Surface Force. It landed at 2:29 PM—just two minutes after Charlie's plane landed. This allows for a 1-hour wait on the tarmac and places everyone at the hospital at the exact right time. It also explains how you conceal a high-profile figure: USE A MILITARY ESCORT. 📉 THE LOGISTICAL LIE: The idea that Andrew scrambled to get a plane, sat in his house for 3 hours, and then Erika waited another hour for him to land makes zero sense. As Candace puts it: "This is an extremely resourceful company... Andrew did not wait for three hours. None of that makes sense on its face." The syndicate is panicking. The lies are unraveling in real-time. Candace just proved logistically that the "tarmac hug" scenario they sold us is impossible. Watch the exact moment the realization hits her.
5:00

🚨SHOCKING: Candace Owens Has An EPIPHANY That BLOWS The Charlie Kirk Case WIDE Open —Plus NEW Updated Plane List🤯 You have to watch this immediately. Candace was going over the updated plane list for September 10th, and SHE HAD A REVELATION LIVE ON AIR that changes everything. She just dismantled the official story about the infamous "tarmac hug" between Erika Kirk and Andrew Kolvet. Here is the anatomy of the breakdown: 🔍 THE MISSING WIFE: Andrew Kolvet claims he flew in with his wife on a charter plane that landed at 4:36 PM. But Candace just realized: WHERE IS THE WIFE? Nobody remembers seeing her at the tarmac hug. Nobody remembers seeing her enter the hospital with Andrew. Candace's epiphany: "Andrew's wife is missing... He went into a separate entrance. Why would you wait for an hour and then not even enter together?" 🕵️‍♂️ THE MILITARY CONNECTION: Forget the standard charters. Candace is now looking at a very interesting plane: N40JD. It's owned by Jason Nupp, Chief Commander of the Naval Surface Force. It landed at 2:29 PM—just two minutes after Charlie's plane landed. This allows for a 1-hour wait on the tarmac and places everyone at the hospital at the exact right time. It also explains how you conceal a high-profile figure: USE A MILITARY ESCORT. 📉 THE LOGISTICAL LIE: The idea that Andrew scrambled to get a plane, sat in his house for 3 hours, and then Erika waited another hour for him to land makes zero sense. As Candace puts it: "This is an extremely resourceful company... Andrew did not wait for three hours. None of that makes sense on its face." The syndicate is panicking. The lies are unraveling in real-time. Candace just proved logistically that the "tarmac hug" scenario they sold us is impossible. Watch the exact moment the realization hits her.

Project Constitution

41,325 次观看 • 4 个月前

I know there are many people out there who credit dogs for keeping them going, getting through tough times and even saving their lives. I’ve heard the personal stories from 100s of people. Dogs are so pure and unconditional with their support and love. I can’t explain how much pressure and stress I’ve been under the last year and in particular the last 3-4 months. Tina may no longer be with us but it is because of her that I keep going on this mission. In the dark times I think about her face and her warm cosy fur. I’m not sure but were it not for Tina there are times when I might have broken or had to stop such was the suffering and pain we see. So much is about to come together… 📕 In 43 days the book about Tina will be out. It was a work of pure love. But exhausting too emotionally. 🏥 Tina’s field hospital opens on Tuesday with our new vet starting. Her big hospital is also being built. 🎤 I’m doing about 7-8 events in Ireland and England in May followed by the USA telling Tina’s story to 1000s of people. I’m terrified. 🥘 Her little sibling (in my head) Alba has her own kitchen just open feeding 1250 dogs a day ✂️ We have funded over 20,000 sterilising in 2025 already. That’s just a tiny amount of the things happening. We do them all for the street dogs but I personally do them for Tina. Some dogs (and people) shake you and move you to your very core. They are soul dogs. That is Tina for me. I was exhausted and burnt out tonight with so much to juggle so I sat in bed and opened my Tina folder of videos on my phone. I wanted to sleep but just seeing her face made me want to share a little video and write this. She just makes me want to put more good into the world for all to share. Maybe when I get through the next 2 mad months I dream of sitting on a little quiet beach somewhere on my own reading a book, fully offline and just thinking about Tina. I’ll tell her about all that has happened. I’ve not been able to do that yet. But for now there is one more big push needed in Tina’s name 💛💙
0:41

I know there are many people out there who credit dogs for keeping them going, getting through tough times and even saving their lives. I’ve heard the personal stories from 100s of people. Dogs are so pure and unconditional with their support and love. I can’t explain how much pressure and stress I’ve been under the last year and in particular the last 3-4 months. Tina may no longer be with us but it is because of her that I keep going on this mission. In the dark times I think about her face and her warm cosy fur. I’m not sure but were it not for Tina there are times when I might have broken or had to stop such was the suffering and pain we see. So much is about to come together… 📕 In 43 days the book about Tina will be out. It was a work of pure love. But exhausting too emotionally. 🏥 Tina’s field hospital opens on Tuesday with our new vet starting. Her big hospital is also being built. 🎤 I’m doing about 7-8 events in Ireland and England in May followed by the USA telling Tina’s story to 1000s of people. I’m terrified. 🥘 Her little sibling (in my head) Alba has her own kitchen just open feeding 1250 dogs a day ✂️ We have funded over 20,000 sterilising in 2025 already. That’s just a tiny amount of the things happening. We do them all for the street dogs but I personally do them for Tina. Some dogs (and people) shake you and move you to your very core. They are soul dogs. That is Tina for me. I was exhausted and burnt out tonight with so much to juggle so I sat in bed and opened my Tina folder of videos on my phone. I wanted to sleep but just seeing her face made me want to share a little video and write this. She just makes me want to put more good into the world for all to share. Maybe when I get through the next 2 mad months I dream of sitting on a little quiet beach somewhere on my own reading a book, fully offline and just thinking about Tina. I’ll tell her about all that has happened. I’ve not been able to do that yet. But for now there is one more big push needed in Tina’s name 💛💙

Niall Harbison

233,719 次观看 • 1 年前