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🧪🫟 An experiment has gone terribly wrong!! 🧪🫟 ONE YEAR ANNIVERSARY ♡ JULY 10-12 ⤷ exciting donothon goals ˎˊ˗ ⤷ new outfit reveal ˎˊ˗ ⤷ and more...? 🐰 ˎˊ˗ #AnniBlairsary2026

Blair Labri 📖🔆【ATELIER LABRI】

15,034 subscribers

25,511 görüntüleme • 2 ay önce •via X (Twitter)

#AnniBlairsary2026

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48 Yorum

essie 🐑🌾 profil fotoğrafı

essie 🐑🌾2 ay önce

Im lookign ............

Blair Labri 📖🔆【ATELIER LABRI】 profil fotoğrafı

Blair Labri 📖🔆【ATELIER LABRI】2 ay önce

yes..... yes...!! ......

Blair Labri 📖🔆【ATELIER LABRI】 profil fotoğrafı

Blair Labri 📖🔆【ATELIER LABRI】2 ay önce

Come celebrate here!!! 🎉🎉

Tomoe Carmine 🎀☠️トモエ・カーマイン profil fotoğrafı

Tomoe Carmine 🎀☠️トモエ・カーマイン2 ay önce

WOAH>>>>?!?!!?!? WOGH!!!!!!!! WAHHHHHHH

Blair Labri 📖🔆【ATELIER LABRI】 profil fotoğrafı

Blair Labri 📖🔆【ATELIER LABRI】2 ay önce

AHHH!!!! AHHH!!!!!! AHHHH!!!!!!!!!!

Cera Luceria 💃🧃 profil fotoğrafı

Cera Luceria 💃🧃2 ay önce

Whoa….

Blair Labri 📖🔆【ATELIER LABRI】 profil fotoğrafı

Blair Labri 📖🔆【ATELIER LABRI】2 ay önce

Hehe... Hi..

Akugaki Koa ↝ ⛓️ | ChromaSHIFT profil fotoğrafı

Akugaki Koa ↝ ⛓️ | ChromaSHIFT2 ay önce

wooooooo!!!!!!!!!!!!! 🩵

Blair Labri 📖🔆【ATELIER LABRI】 profil fotoğrafı

Blair Labri 📖🔆【ATELIER LABRI】2 ay önce

whehehehee!!!!!!! 💙

kaia🕊️💌 vhealer profil fotoğrafı

kaia🕊️💌 vhealer2 ay önce

please experiment on me blair i need this

Blair Labri 📖🔆【ATELIER LABRI】 profil fotoğrafı

Blair Labri 📖🔆【ATELIER LABRI】2 ay önce

I'm splashing every flask I can find on you

lucky loveshot 👩‍❤️‍💋‍👩🐕 CUPID VTUBER profil fotoğrafı

lucky loveshot 👩‍❤️‍💋‍👩🐕 CUPID VTUBER2 ay önce

ohhhhhhfffrrfhhhhhhfggrhhgfhhh 😰😰😰😰😰💧💧💧💧💧💧😍😍😍😍😍😍😍😍

Blair Labri 📖🔆【ATELIER LABRI】 profil fotoğrafı

Blair Labri 📖🔆【ATELIER LABRI】2 ay önce

Hello!!! ;alskdj;flkdjafsad 😳💦💦

Ophie Ouroboros 🐍🍎 profil fotoğrafı

Ophie Ouroboros 🐍🍎2 ay önce

hey

Blair Labri 📖🔆【ATELIER LABRI】 profil fotoğrafı

Blair Labri 📖🔆【ATELIER LABRI】2 ay önce

hey

Mufee (REBRANDING) profil fotoğrafı

Mufee (REBRANDING)2 ay önce

hey............. (louder than ophie)

Blair Labri 📖🔆【ATELIER LABRI】 profil fotoğrafı

Blair Labri 📖🔆【ATELIER LABRI】2 ay önce

HEY (I said it louder too)

Kani Kanizawa 🦀 profil fotoğrafı

Kani Kanizawa 🦀2 ay önce

wowee!!!!!!!!!

Blair Labri 📖🔆【ATELIER LABRI】 profil fotoğrafı

Blair Labri 📖🔆【ATELIER LABRI】2 ay önce

>:3

Kijori Konno 🎐🎤【V2V】 profil fotoğrafı

Kijori Konno 🎐🎤【V2V】2 ay önce

RARF RARF ARARAFARAFARF

Blair Labri 📖🔆【ATELIER LABRI】 profil fotoğrafı

Blair Labri 📖🔆【ATELIER LABRI】2 ay önce

‼️‼️‼️‼️‼️

✎﹏SnailMeru﹏♡ 💌 profil fotoğrafı

✎﹏SnailMeru﹏♡ 💌2 ay önce

oh my!!!! is that.. lab safe? 😳❤️

Blair Labri 📖🔆【ATELIER LABRI】 profil fotoğrafı

Blair Labri 📖🔆【ATELIER LABRI】2 ay önce

T-Time to find out!!!!

hyuni 🩷🪽 profil fotoğrafı

hyuni 🩷🪽2 ay önce

OUGH. oh wow. o h oh wo w i oh wow. oh wow

Blair Labri 📖🔆【ATELIER LABRI】 profil fotoğrafı

Blair Labri 📖🔆【ATELIER LABRI】2 ay önce

oh uH thank you oH o h OH!! yippee

e_rankluck 📖🔆 profil fotoğrafı

e_rankluck 📖🔆2 ay önce

Let's freakin goooo!!!

CBD❌ profil fotoğrafı

CBD❌2 ay önce

Office lady Blair

The Fantastic Mr. Fux 📖🔆/🕯️⛓️❤️‍🩹/👻✨ NYCC2026 profil fotoğrafı

The Fantastic Mr. Fux 📖🔆/🕯️⛓️❤️‍🩹/👻✨ NYCC20262 ay önce

💙💙💙💙💙💙

🔆📖 The Step Hen 📖🔆 profil fotoğrafı

🔆📖 The Step Hen 📖🔆2 ay önce

Fangs. That is all. ~~How is it only two days away until the donothon starts?~~

Dreamy 💖💫【VIVARIA】 profil fotoğrafı

Dreamy 💖💫【VIVARIA】2 ay önce

I’m looking like 👀

Blair Labri 📖🔆【ATELIER LABRI】 profil fotoğrafı

Blair Labri 📖🔆【ATELIER LABRI】2 ay önce

Take your time looking!! Yea!!

『OCTEX』 📯🪽🔩🐰💋📖🔆🧸🎠🤍🪽 profil fotoğrafı

『OCTEX』 📯🪽🔩🐰💋📖🔆🧸🎠🤍🪽2 ay önce

HELL YEAHHHHHHHHHH 🗣‼️🔥

Luis profil fotoğrafı

Luis2 ay önce

holyyyyyyy

Demon profil fotoğrafı

Demon2 ay önce

OOOH the bnuy id card so cute too!!!

Chasing Infinity profil fotoğrafı

Chasing Infinity2 ay önce

👀💙💙💙

Funghee 🍄👾 profil fotoğrafı

Funghee 🍄👾2 ay önce

😵‍💫 what has she been cooking in the lab? Whatever it is im NOT looking respectfully

Exceed profil fotoğrafı

Exceed2 ay önce

I can't wait! Can July 10 come faster please?!

mimy profil fotoğrafı

mimy2 ay önce

craaaaazy outfit! looking forward to the anniversary blair~

Rey profil fotoğrafı

Rey2 ay önce

So excited!! 🎉plz time go by faster

gwently💛🫟 profil fotoğrafı

gwently💛🫟2 ay önce

I'm so ready

Coffee Run ☕🏃 profil fotoğrafı

Coffee Run ☕🏃2 ay önce

LETS GOOOOOO

豚の代名詞 profil fotoğrafı

豚の代名詞2 ay önce

AAAAAAAAAAAA I'm gonna hibernate on the 9th and stock up loads of caffeine and be prepared for this celebration!!!!! 🐰

The WanderingWindニック💯🦂🧪🍃🎣🦋🐠🌤🧚🍂🌹🐧❄🏆 profil fotoğrafı

The WanderingWindニック💯🦂🧪🍃🎣🦋🐠🌤🧚🍂🌹🐧❄🏆2 ay önce

Goodness me......

Naltyr profil fotoğrafı

Naltyr2 ay önce

🐰👀

I’m Just Wesley🦉⚔️ profil fotoğrafı

I’m Just Wesley🦉⚔️2 ay önce

👏👏👏

fascmax00 🧶🤘🏻 profil fotoğrafı

fascmax00 🧶🤘🏻2 ay önce

AAAAAAAAAAAAAAAAAAAAAAA SHE BNUYYYYYYYYY

Monti ☆ profil fotoğrafı

Monti ☆2 ay önce

👀 OMG I CANNOT WAITTTTT This looks soo good!!!!!!!

poulticeGEIST profil fotoğrafı

poulticeGEIST2 ay önce

Shoulda said "hop to it".

Benzer Videolar

Day 049, orbit 0759 – Another experiment, and another timelapse! This time, I’m working with the Fluid Science Laboratory (FSL), one of the science facilities inside ESA’s Columbus module. The experiment is called PASTA-3 and investigates the formation and evolution of emulsions over time when there is no gravity to interfere. Emulsions are mixtures of two or more liquids that do not usually mix, such as oil and water. During this session, I installed 3 experiment containers 🧪 with new samples inside the FSL. Each PASTA sample has a different concentration of surfactant (an agent that helps liquids mix) and Xanthan Gum in addition to a water and oil mixture. This experiment helps scientists better understand and model the fundamental physics of emulsions. That knowledge has numerous applications on Earth, including: - improving food quality and shelf life (milk 🥛, dough, mayonnaise, candy…), - enhancing the stability and effectiveness of medicines (including vaccines 💉) and cosmetics, - optimising processes in industrial and advanced manufacturing sectors (oil 🛢️, chemicals …). PASTA-3 is one of the 36 European experiments I get to work on during my mission! Go science! (PASTA is short for PArticle STAbilised emulsions experiment.) 📷 European Space Agency / NASA #εpsilon • European Space Agencyspaceflight • International Space Station • NASA_Johnson

Day 049, orbit 0759 – Another experiment, and another timelapse! This time, I’m working with the Fluid Science Laboratory (FSL), one of the science facilities inside ESA’s Columbus module. The experiment is called PASTA-3 and investigates the formation and evolution of emulsions over time when there is no gravity to interfere. Emulsions are mixtures of two or more liquids that do not usually mix, such as oil and water. During this session, I installed 3 experiment containers 🧪 with new samples inside the FSL. Each PASTA sample has a different concentration of surfactant (an agent that helps liquids mix) and Xanthan Gum in addition to a water and oil mixture. This experiment helps scientists better understand and model the fundamental physics of emulsions. That knowledge has numerous applications on Earth, including: - improving food quality and shelf life (milk 🥛, dough, mayonnaise, candy…), - enhancing the stability and effectiveness of medicines (including vaccines 💉) and cosmetics, - optimising processes in industrial and advanced manufacturing sectors (oil 🛢️, chemicals …). PASTA-3 is one of the 36 European experiments I get to work on during my mission! Go science! (PASTA is short for PArticle STAbilised emulsions experiment.) 📷 European Space Agency / NASA #εpsilon • European Space Agencyspaceflight • International Space Station • NASA_Johnson

Adenot Sophie

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⚠️ There is much more inside Anthropic 's new threat-intelligence report. The biological-weapons cases we covered earlier are only one part of it. Anthropic says it identified a Russian-linked espionage actor consistent with public reporting on Midnight Blizzard using AI-driven workflows to automate substantial parts of intelligence operations against Ukrainian and European government, military, intelligence and diplomatic targets. Claude was being used across reconnaissance, phishing infrastructure, exploitation, persistence and data exfiltration. When security products detected the attackers’ malware, AI agents could analyze what had gone wrong, modify and rebuild the tools, and continue iterating. Drone technology was among the targets. Anthropic says the operation stole mailboxes from at least two drone-component manufacturers and obtained the complete proprietary SDK for a drone vision system. The attackers then spent days using AI to reconstruct its architecture, hardware, suppliers and details of an unreleased product. 🇺🇦 They also compromised hotel Wi-Fi providers to target specific guests and attempted to take over WhatsApp accounts belonging to former senior Ukrainian officials. 🇨🇳 Then there is China. Anthropic says an operation it attributes with high confidence to Alibaba/Tongyi Lab extracted more than 151 MILLION Claude exchanges between May and July to help train Qwen models. It says Moonshot AI/Kimi generated more than 23 million exchanges, in some cases silently routing users’ queries through Claude without those users knowing. DeepSeek allegedly did something similar: more than 12 million exchanges in just 14 days in July. 🇾🇪 And perhaps the most extraordinary case comes from Yemen. Anthropic identified a weapons-development group using multiple Claude instances essentially as an AI engineering team while working on guided rockets and long-range missile systems. The group built and physically test-fired a guided rocket, but the test failed. Within hours, the engineers went back to Claude to diagnose what had gone wrong. Taken together, these cases show something much larger than people occasionally asking an AI model dangerous questions. AI is beginning to operate inside real espionage campaigns, weapons-development programs and the industrial competition between the world’s leading AI labs.

⚠️ There is much more inside Anthropic 's new threat-intelligence report. The biological-weapons cases we covered earlier are only one part of it. Anthropic says it identified a Russian-linked espionage actor consistent with public reporting on Midnight Blizzard using AI-driven workflows to automate substantial parts of intelligence operations against Ukrainian and European government, military, intelligence and diplomatic targets. Claude was being used across reconnaissance, phishing infrastructure, exploitation, persistence and data exfiltration. When security products detected the attackers’ malware, AI agents could analyze what had gone wrong, modify and rebuild the tools, and continue iterating. Drone technology was among the targets. Anthropic says the operation stole mailboxes from at least two drone-component manufacturers and obtained the complete proprietary SDK for a drone vision system. The attackers then spent days using AI to reconstruct its architecture, hardware, suppliers and details of an unreleased product. 🇺🇦 They also compromised hotel Wi-Fi providers to target specific guests and attempted to take over WhatsApp accounts belonging to former senior Ukrainian officials. 🇨🇳 Then there is China. Anthropic says an operation it attributes with high confidence to Alibaba/Tongyi Lab extracted more than 151 MILLION Claude exchanges between May and July to help train Qwen models. It says Moonshot AI/Kimi generated more than 23 million exchanges, in some cases silently routing users’ queries through Claude without those users knowing. DeepSeek allegedly did something similar: more than 12 million exchanges in just 14 days in July. 🇾🇪 And perhaps the most extraordinary case comes from Yemen. Anthropic identified a weapons-development group using multiple Claude instances essentially as an AI engineering team while working on guided rockets and long-range missile systems. The group built and physically test-fired a guided rocket, but the test failed. Within hours, the engineers went back to Claude to diagnose what had gone wrong. Taken together, these cases show something much larger than people occasionally asking an AI model dangerous questions. AI is beginning to operate inside real espionage campaigns, weapons-development programs and the industrial competition between the world’s leading AI labs.

The Tectonic

33,950 görüntüleme • 8 gün önce

[Trans] #WINMETAWINxICONSIAM 🐰: This is my first time wearing a Thai costume at an event. I feel very honored and happy to be here. 😊 🎤: How’s the atmosphere? Is it as spectacular and wow as it looks? 🐰: It really is! It made me want to join the water play too! 💦 Honestly, I haven’t had a real Songkran moment like this in quite a while. 🥺🥹 🎤: What do you usually do during Songkran? 🐰: I love this festival because it’s when I get to spend the most time with my family. We usually travel abroad and rarely stay in Thailand. This year, I’m here for work and I feel so amazed and thrilled! Please come by #ICONSIAM, it has everything, and you’ll definitely enjoy yourself here! 😊❤️ 🎤: So today you really floated above the ground! 😅😆 🐰: Haha yes, I felt like I was floating like feet off the ground! 😁 I actually felt very shy. This is my first time since high school. Let’s just say today is like “a rehearsal” 🫣😄 🎤: Can you rate yourself in this outfit? 🐰: Oh, I don’t dare! 🥹 This is one of the most exciting events I’ve ever joined not because of anything else, but because of this costume! 😄 I feel shy because it’s still so new to me. 🎤: Then wear it more often! 🐰: It’s like a warm-up before filming! (#ScarletHeartTH) Oops, I spoiled something again! 😆 🎤: You can wear Thai costumes like this in many occasions like for a series… or maybe for other occasion… 🐰: What occasion is that? 🎤: Like…. (they wanted to tease him like at your own wedding 🥹but they changed to) like…when being a best man (groomsman) at a wedding! 😄😂 🐰: Hahaha, that’s possible too! 😃💚 WIN ICONSIAM SONGKRAN #winmetawin Winmetawin

[Trans] #WINMETAWINxICONSIAM 🐰: This is my first time wearing a Thai costume at an event. I feel very honored and happy to be here. 😊 🎤: How’s the atmosphere? Is it as spectacular and wow as it looks? 🐰: It really is! It made me want to join the water play too! 💦 Honestly, I haven’t had a real Songkran moment like this in quite a while. 🥺🥹 🎤: What do you usually do during Songkran? 🐰: I love this festival because it’s when I get to spend the most time with my family. We usually travel abroad and rarely stay in Thailand. This year, I’m here for work and I feel so amazed and thrilled! Please come by #ICONSIAM, it has everything, and you’ll definitely enjoy yourself here! 😊❤️ 🎤: So today you really floated above the ground! 😅😆 🐰: Haha yes, I felt like I was floating like feet off the ground! 😁 I actually felt very shy. This is my first time since high school. Let’s just say today is like “a rehearsal” 🫣😄 🎤: Can you rate yourself in this outfit? 🐰: Oh, I don’t dare! 🥹 This is one of the most exciting events I’ve ever joined not because of anything else, but because of this costume! 😄 I feel shy because it’s still so new to me. 🎤: Then wear it more often! 🐰: It’s like a warm-up before filming! (#ScarletHeartTH) Oops, I spoiled something again! 😆 🎤: You can wear Thai costumes like this in many occasions like for a series… or maybe for other occasion… 🐰: What occasion is that? 🎤: Like…. (they wanted to tease him like at your own wedding 🥹but they changed to) like…when being a best man (groomsman) at a wedding! 😄😂 🐰: Hahaha, that’s possible too! 😃💚 WIN ICONSIAM SONGKRAN #winmetawin Winmetawin

◡̈ ✿〜*:.｡. ꕤ M a R y ꕤ*･.｡.*･*✿.

12,380 görüntüleme • 1 yıl önce

🧪 What’s really inside your child’s Hepatitis B vaccine? Dr. Suzanne Humphries just broke down the truth. Every new parent needs to hear this: “The Engerix vaccine from [GSK] contains 10 micrograms of antigen.” “It is made on yeast cells… programmed to produce the antigen.” “It has aluminum hydroxide, and it contains trace amounts of formaldehyde.” “It’s not listed as an excipient even though it has it.” “And this is supposed to be given on day one of birth to hours-old newborns if they’re premature.” “There will be 3 or more injections in infancy or childhood if that baby is immature.” “Because they say that first vaccine doesn’t count in low birth weight infants.” “The day-of-birth vaccine never counts towards the schedule and will still be given at one, two, three, and six months for those high-risk babies.” “In normal birth weight [and] low-risk infants, that first jab does count towards the total of 3 vaccines, but they’re usually given 4 anyway.” “The other vaccine is from Merck, and it is called Recombivax.” “It contains 5 micrograms of antigen.” “The FDA [treats them as] interchangeable even though one has more antigen than the other.” “So what I find really interesting about the Merck vaccine is that it actually contains 7.5 micrograms of formaldehyde.” “Which is greater than the 5 micrograms of actual antigen that’s in the vaccine.” “Yet we’re told that none of that matters, because your own body makes formaldehyde.” Dr Suzanne Humphries CHDTV Live

🧪 What’s really inside your child’s Hepatitis B vaccine? Dr. Suzanne Humphries just broke down the truth. Every new parent needs to hear this: “The Engerix vaccine from [GSK] contains 10 micrograms of antigen.” “It is made on yeast cells… programmed to produce the antigen.” “It has aluminum hydroxide, and it contains trace amounts of formaldehyde.” “It’s not listed as an excipient even though it has it.” “And this is supposed to be given on day one of birth to hours-old newborns if they’re premature.” “There will be 3 or more injections in infancy or childhood if that baby is immature.” “Because they say that first vaccine doesn’t count in low birth weight infants.” “The day-of-birth vaccine never counts towards the schedule and will still be given at one, two, three, and six months for those high-risk babies.” “In normal birth weight [and] low-risk infants, that first jab does count towards the total of 3 vaccines, but they’re usually given 4 anyway.” “The other vaccine is from Merck, and it is called Recombivax.” “It contains 5 micrograms of antigen.” “The FDA [treats them as] interchangeable even though one has more antigen than the other.” “So what I find really interesting about the Merck vaccine is that it actually contains 7.5 micrograms of formaldehyde.” “Which is greater than the 5 micrograms of actual antigen that’s in the vaccine.” “Yet we’re told that none of that matters, because your own body makes formaldehyde.” Dr Suzanne Humphries CHDTV Live

Children’s Health Defense

19,214 görüntüleme • 3 ay önce

De Volkskrant, a Dutch newspaper, has released a video about Connor Storrie’s emergence in the fashion world. “Connor Storrie is a rising Hollywood star and an emerging fashion icon. Last year, Connor Storrie was still waiting tables at a Los Angeles restaurant. Today, crowds scream his name at the Met Gala. In less than a year, the 26 year old actor has gone from complete unknown to seemingly everywhere at once. His breakthrough came with the hit series Heated Rivalry, in which he plays hockey player Ilya Rozanov, one half of perhaps the most talked about love story of the moment. The fashion world quickly took notice, too. At his first premieres, Storrie still opted for safe suits: classic, but not particularly daring. Then everything changed: front rows, fashion weeks, and increasingly, Saint Laurent. At the Golden Globes, he appeared in a full look by the French fashion house. Shortly afterward, he sat front row at its menswear show. In Paris, amid a scorching heatwave, he wore a sheer black PVC trench coat with glossy boots - an outfit he had been in love with for months. For Storrie, it represented recognition. For Saint Laurent, having a young star who is willing to experiment is just as valuable. While many newcomers play it safe, he has embraced sheer tops, fur stoles, and used his body as part of the fashion statement. Storrie clearly understands that the body itself can function as an element of clothing. The same was true at the Met Gala. Halfway up the steps, he removed his jacket to reveal a cropped top with a front zipper. The crowd went wild. Within minutes, the internet was flooded with clips of the moment. The only question now is: Is Connor Storrie just a passing phenomenon, or are we witnessing the rise of Hollywood’s next major style icon?” de_volkskrant | Instagram

De Volkskrant, a Dutch newspaper, has released a video about Connor Storrie’s emergence in the fashion world. “Connor Storrie is a rising Hollywood star and an emerging fashion icon. Last year, Connor Storrie was still waiting tables at a Los Angeles restaurant. Today, crowds scream his name at the Met Gala. In less than a year, the 26 year old actor has gone from complete unknown to seemingly everywhere at once. His breakthrough came with the hit series Heated Rivalry, in which he plays hockey player Ilya Rozanov, one half of perhaps the most talked about love story of the moment. The fashion world quickly took notice, too. At his first premieres, Storrie still opted for safe suits: classic, but not particularly daring. Then everything changed: front rows, fashion weeks, and increasingly, Saint Laurent. At the Golden Globes, he appeared in a full look by the French fashion house. Shortly afterward, he sat front row at its menswear show. In Paris, amid a scorching heatwave, he wore a sheer black PVC trench coat with glossy boots - an outfit he had been in love with for months. For Storrie, it represented recognition. For Saint Laurent, having a young star who is willing to experiment is just as valuable. While many newcomers play it safe, he has embraced sheer tops, fur stoles, and used his body as part of the fashion statement. Storrie clearly understands that the body itself can function as an element of clothing. The same was true at the Met Gala. Halfway up the steps, he removed his jacket to reveal a cropped top with a front zipper. The crowd went wild. Within minutes, the internet was flooded with clips of the moment. The only question now is: Is Connor Storrie just a passing phenomenon, or are we witnessing the rise of Hollywood’s next major style icon?” de_volkskrant | Instagram

Updating Connor Storrie

17,676 görüntüleme • 28 gün önce

BREAKING: After refusing to release the 2024 post mortem report detailing why Democrats lost to Donald Trump - stating that focusing on failure and not the future was unproductive for their party - DNC Chair Ken Martin has released an INCOMPLETE 2024 autopsy report. Here are some of the topline findings: • The 192-page report is massively incomplete — Executive Summary is completely blank and labeled “This section was not provided by author." (p.7) • Major sections on Media Strategy, Spending Analysis, Fundraising, Polling Research, and the actual 10-Year Plan are missing or marked PENDING. (p. 3 & 21) • Document is riddled with factual errors flagged by its own reviewers — wrong dates, wrong vote counts, and claims that contradict public data. (p. 10, 12, 14, 16, 17) • Dozens of explosive claims stamped “No evidence provided” and “Analysis not supported by publicly available data." (p. 12, 23-29) • Admits Democrats have lost ground at every level of government since the 2008 Obama landslide. (p. 9-10, 17) • Blames Harris campaign for catastrophic collapse with men (+11 pts behind down-ballot Dems), rural voters, white non-college voters, and new/irregular voters (Harris fell below 50% with new voters for the first time in modern history). (p. 23, 28) • Down-ballot Democrats like NC Gov Josh Stein ran 7–11 points ahead of Harris by focusing on economy, housing, and public safety instead of identity politics. (p. 22-23, 28) • Report promises to “follow the money” and reveal top vendors/spenders but hides all the actual spending and fundraising data. (p. 5-6) • Claims the real internal polling failures, media strategy mistakes, and ground game collapse are still being kept from the public. (p. 3, 7, 21). Here's Ken in late February saying that the autopsy wouldn't be released because, "we are not going to go backwards."

BREAKING: After refusing to release the 2024 post mortem report detailing why Democrats lost to Donald Trump - stating that focusing on failure and not the future was unproductive for their party - DNC Chair Ken Martin has released an INCOMPLETE 2024 autopsy report. Here are some of the topline findings: • The 192-page report is massively incomplete — Executive Summary is completely blank and labeled “This section was not provided by author." (p.7) • Major sections on Media Strategy, Spending Analysis, Fundraising, Polling Research, and the actual 10-Year Plan are missing or marked PENDING. (p. 3 & 21) • Document is riddled with factual errors flagged by its own reviewers — wrong dates, wrong vote counts, and claims that contradict public data. (p. 10, 12, 14, 16, 17) • Dozens of explosive claims stamped “No evidence provided” and “Analysis not supported by publicly available data." (p. 12, 23-29) • Admits Democrats have lost ground at every level of government since the 2008 Obama landslide. (p. 9-10, 17) • Blames Harris campaign for catastrophic collapse with men (+11 pts behind down-ballot Dems), rural voters, white non-college voters, and new/irregular voters (Harris fell below 50% with new voters for the first time in modern history). (p. 23, 28) • Down-ballot Democrats like NC Gov Josh Stein ran 7–11 points ahead of Harris by focusing on economy, housing, and public safety instead of identity politics. (p. 22-23, 28) • Report promises to “follow the money” and reveal top vendors/spenders but hides all the actual spending and fundraising data. (p. 5-6) • Claims the real internal polling failures, media strategy mistakes, and ground game collapse are still being kept from the public. (p. 3, 7, 21). Here's Ken in late February saying that the autopsy wouldn't be released because, "we are not going to go backwards."

Andrew Kolvet

11,541 görüntüleme • 4 ay önce

Georgia is basically turning into one large data center Get ready for this, there is no legal obligation for data centers to disclose how much water they will be using - Georgia currently has about 162 data centers already - They have an additional 141 new data centers planned - Combined these data centers will use 12+ GW or more of power, this is equivalent to the usage of 10 MILLION homes - Combined water usage estimate of 35+ billion gallons per year or higher Absolutely insane There is no comprehensive federal requirement for data centers to publicly report detailed water usage. A bill was introduced called “the Data Center Water and Energy Transparency Act” to mandate reporting of energy and water consumption to states and the EPA This is an issue, here’s one example The Quality Technology Services data center in Fayette County used 29–30 million gallons of water went unmetered and unbilled for months without initial detection. Residents complained about low pressure during drought conditions. The company later paid retroactively $150,000 but faced no fines

Georgia is basically turning into one large data center Get ready for this, there is no legal obligation for data centers to disclose how much water they will be using - Georgia currently has about 162 data centers already - They have an additional 141 new data centers planned - Combined these data centers will use 12+ GW or more of power, this is equivalent to the usage of 10 MILLION homes - Combined water usage estimate of 35+ billion gallons per year or higher Absolutely insane There is no comprehensive federal requirement for data centers to publicly report detailed water usage. A bill was introduced called “the Data Center Water and Energy Transparency Act” to mandate reporting of energy and water consumption to states and the EPA This is an issue, here’s one example The Quality Technology Services data center in Fayette County used 29–30 million gallons of water went unmetered and unbilled for months without initial detection. Residents complained about low pressure during drought conditions. The company later paid retroactively $150,000 but faced no fines

Wall Street Apes

147,885 görüntüleme • 4 ay önce

🚨 WE ARE NOW ENTERING THE HOTTEST PHASE Every midterm election year for the last 50 years has delivered a market drawdown: 1974 Ford: -35% 1978 Carter: -15% 1982 Reagan: -17% 1986 Reagan: -9% 1990 Bush: -20% 1994 Clinton: -8% 1998 Clinton: -22% 2002 Bush: -34% 2006 Bush: -8% 2010 Obama: -17% 2014 Obama: -7% 2018 Trump: -20% 2022 Biden: -27% 2026 Trump: ??? 13 midterm years. 13 drawdowns. Average intra-year drawdown: ~17%. But this year there’s another cycle hitting at the SAME time. A new Fed chair. Over the last nine decades: 12 new Fed chairs. 12 equity drawdowns within their first three months. Average: -12%. The last time both cycles collided was 2018. Powell became Fed chair. Markets broke almost immediately. By Christmas Eve: S&P 500: -20% Then Powell pivoted. 2019: S&P 500: +30% And now the timing gets even more interesting. Market fear historically bottoms in early summer. Then rises into September and October. The VIX was near the mid-teens in July. Now it’s already above 18. At the same time: Retail cash allocations are near extreme lows. Almost nobody is hedging. Record IPO supply is draining liquidity. And we’re entering the exact window where midterm-year corrections historically accelerate. But here’s what most people will get wrong: This is NOT where I become bearish long term. Every one of those 13 midterm drawdowns became a buying opportunity. 13 out of 13. Average rally from the midterm low: ~47%. That’s the opportunity I’m waiting for. First the fear. Then the bottom. The next 60 days could create the best buying opportunity of this cycle. Keep in mind: I publicly called Bitcoin’s $17K bottom in 2022 and the $126K top in 2025. When I start buying again, every call will be posted here first. Follow and turn notifications on.

🚨 WE ARE NOW ENTERING THE HOTTEST PHASE Every midterm election year for the last 50 years has delivered a market drawdown: 1974 Ford: -35% 1978 Carter: -15% 1982 Reagan: -17% 1986 Reagan: -9% 1990 Bush: -20% 1994 Clinton: -8% 1998 Clinton: -22% 2002 Bush: -34% 2006 Bush: -8% 2010 Obama: -17% 2014 Obama: -7% 2018 Trump: -20% 2022 Biden: -27% 2026 Trump: ??? 13 midterm years. 13 drawdowns. Average intra-year drawdown: ~17%. But this year there’s another cycle hitting at the SAME time. A new Fed chair. Over the last nine decades: 12 new Fed chairs. 12 equity drawdowns within their first three months. Average: -12%. The last time both cycles collided was 2018. Powell became Fed chair. Markets broke almost immediately. By Christmas Eve: S&P 500: -20% Then Powell pivoted. 2019: S&P 500: +30% And now the timing gets even more interesting. Market fear historically bottoms in early summer. Then rises into September and October. The VIX was near the mid-teens in July. Now it’s already above 18. At the same time: Retail cash allocations are near extreme lows. Almost nobody is hedging. Record IPO supply is draining liquidity. And we’re entering the exact window where midterm-year corrections historically accelerate. But here’s what most people will get wrong: This is NOT where I become bearish long term. Every one of those 13 midterm drawdowns became a buying opportunity. 13 out of 13. Average rally from the midterm low: ~47%. That’s the opportunity I’m waiting for. First the fear. Then the bottom. The next 60 days could create the best buying opportunity of this cycle. Keep in mind: I publicly called Bitcoin’s $17K bottom in 2022 and the $126K top in 2025. When I start buying again, every call will be posted here first. Follow and turn notifications on.

Volt ⚡

88,543 görüntüleme • 15 gün önce

Former Economic Hitman John Perkins: The US’ global military presence and mistakes foments anti-US RESENTMENT, fuels the rise of China🇨🇳 and India🇮🇳 'China's economic hitmen have done an amazing job. In the year 2000, the United States was the number one trading partner with 80% of the world's countries. Today, it's China, with over 70% of the world's countries. But China has something more than just good hitmen. It's also got the resentment of the United States in so many parts of the world for the things that we did in my time as an economic hitman, and the resentment of having foreign troops on your soil. So the US has made many mistakes since World War II, when we came out looking like heroes. But we've really, really made the big mistakes in the last 10 years, or the last 12 years, of the first Trump administration, and particularly in this current Trump administration.' -John Perkins, Author of 'The Art of the Steal: Trump and the Economic Hit Man Presidency' on the latest episode of New Order. Watch the full interview in the quoted post below. 👇 John Perkins

Former Economic Hitman John Perkins: The US’ global military presence and mistakes foments anti-US RESENTMENT, fuels the rise of China🇨🇳 and India🇮🇳 'China's economic hitmen have done an amazing job. In the year 2000, the United States was the number one trading partner with 80% of the world's countries. Today, it's China, with over 70% of the world's countries. But China has something more than just good hitmen. It's also got the resentment of the United States in so many parts of the world for the things that we did in my time as an economic hitman, and the resentment of having foreign troops on your soil. So the US has made many mistakes since World War II, when we came out looking like heroes. But we've really, really made the big mistakes in the last 10 years, or the last 12 years, of the first Trump administration, and particularly in this current Trump administration.' -John Perkins, Author of 'The Art of the Steal: Trump and the Economic Hit Man Presidency' on the latest episode of New Order. Watch the full interview in the quoted post below. 👇 John Perkins

New Order with Afshin Rattansi

33,353 görüntüleme • 2 ay önce

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.

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 görüntüleme • 7 ay önce

China's humanoid robotics market is on fire. With orders expected to top 30,000 units this year—a tenfold jump from 2024's total of less than 3,000—2025 is officially shaping up to be the "Year of Mass Production." This surge, driven by an expansion into new sectors like industrial manufacturing, logistics, and elder care, is reflected in a wave of new deals across the industry. Here's a look at some of the key commercial progress: Astribot: A 1,000-unit order for industrial and logistics deployment over two years. TianTai Robotics: Signed a major 10,000-unit order for caregiving robots. Noetix Robotics : Received over 2,000 intent orders in one month, valued at over 100 million yuan, with a focus on education and commercial performances. AgiBot: Expects to ship thousands of units this year and tens of thousands in 2026. Unitree Robotics: Has orders for thousands of units and is one of the most visible products in the industry. UBTech: Aims to deliver 500 industrial humanoids in 2025, with educational robot orders already exceeding 300 units. Robot Era: Delivered over 300 units by July 2025 with 500 more on hand. TLIBOT: Has around 1,000 intent orders. Galbot: Secured orders for its supermarket security robot, Galbot, in 100 stores. AI² Robotics: Has nearly 500 orders for its general-purpose robots for industrial and public service scenarios. But here’s the crucial reality check. While the order boom is exciting, it doesn't automatically translate to fulfilled deliveries. Many companies lack the production capacity to keep up. A significant portion of these are "intent orders" or framework agreements, not guaranteed sales. Furthermore, the market is heavily B2B-focused, with consumer demand representing only about 5% of sales. Some orders are even symbolic, for public relations or strategic purposes. This “order frenzy” is a starting point, not the finish line. The true test for China's humanoid robot industry isn't who can secure the biggest order, but who can consistently deliver on it and build a stable market for the future.

China's humanoid robotics market is on fire. With orders expected to top 30,000 units this year—a tenfold jump from 2024's total of less than 3,000—2025 is officially shaping up to be the "Year of Mass Production." This surge, driven by an expansion into new sectors like industrial manufacturing, logistics, and elder care, is reflected in a wave of new deals across the industry. Here's a look at some of the key commercial progress: Astribot: A 1,000-unit order for industrial and logistics deployment over two years. TianTai Robotics: Signed a major 10,000-unit order for caregiving robots. Noetix Robotics : Received over 2,000 intent orders in one month, valued at over 100 million yuan, with a focus on education and commercial performances. AgiBot: Expects to ship thousands of units this year and tens of thousands in 2026. Unitree Robotics: Has orders for thousands of units and is one of the most visible products in the industry. UBTech: Aims to deliver 500 industrial humanoids in 2025, with educational robot orders already exceeding 300 units. Robot Era: Delivered over 300 units by July 2025 with 500 more on hand. TLIBOT: Has around 1,000 intent orders. Galbot: Secured orders for its supermarket security robot, Galbot, in 100 stores. AI² Robotics: Has nearly 500 orders for its general-purpose robots for industrial and public service scenarios. But here’s the crucial reality check. While the order boom is exciting, it doesn't automatically translate to fulfilled deliveries. Many companies lack the production capacity to keep up. A significant portion of these are "intent orders" or framework agreements, not guaranteed sales. Furthermore, the market is heavily B2B-focused, with consumer demand representing only about 5% of sales. Some orders are even symbolic, for public relations or strategic purposes. This “order frenzy” is a starting point, not the finish line. The true test for China's humanoid robot industry isn't who can secure the biggest order, but who can consistently deliver on it and build a stable market for the future.

RoboHub🤖

199,146 görüntüleme • 1 yıl önce

A 18 YEAR OLD HIT 7.4 MILLION VIEWS WITH ONE AI GIRL WHO NEVER STOPS MOVING He built her in 11 days. Same face. Same body. Same little smile. The trick was never the face. It was the switch. She starts in the green sequin top, covers her mouth, flips her hair, then the moment her hand crosses the lens the outfit is already the American flag one. No still frame. No cut people can catch. Two frames later she is in the blue one in a different room. Most creators still hard-cut on a frozen pose and the algorithm kills it. He made the change happen while she was already in motion so the loop feels continuous. He almost quit after 8 days of 90-view posts. Then he locked the seed, locked the body proportions, locked the exact nail length and the two tattoos, and started dropping the same girl in new rooms every day. One clip did 7.4 million views in 36 hours. 21,300 new followers. The top comment is still arguing about where she got the second bikini. He answers every single comment in under 70 seconds with an agent that remembers what each guy said three days ago. That alone converts better than the video. She has a $12 private page. 340 guys pay monthly just to keep talking to the same face that never sleeps. The girl is the bait. The seamless switch and the 70-second replies are the machine. Watch the hand cross the frame one more time. You already missed the change.

A 18 YEAR OLD HIT 7.4 MILLION VIEWS WITH ONE AI GIRL WHO NEVER STOPS MOVING He built her in 11 days. Same face. Same body. Same little smile. The trick was never the face. It was the switch. She starts in the green sequin top, covers her mouth, flips her hair, then the moment her hand crosses the lens the outfit is already the American flag one. No still frame. No cut people can catch. Two frames later she is in the blue one in a different room. Most creators still hard-cut on a frozen pose and the algorithm kills it. He made the change happen while she was already in motion so the loop feels continuous. He almost quit after 8 days of 90-view posts. Then he locked the seed, locked the body proportions, locked the exact nail length and the two tattoos, and started dropping the same girl in new rooms every day. One clip did 7.4 million views in 36 hours. 21,300 new followers. The top comment is still arguing about where she got the second bikini. He answers every single comment in under 70 seconds with an agent that remembers what each guy said three days ago. That alone converts better than the video. She has a $12 private page. 340 guys pay monthly just to keep talking to the same face that never sleeps. The girl is the bait. The seamless switch and the 70-second replies are the machine. Watch the hand cross the frame one more time. You already missed the change.

Mango

593,805 görüntüleme • 1 ay önce

🚨 WARNING: $SPX IS NOW THE EXIT LIQUIDITY Three of the largest IPOs in history One five-month window More than $135 BILLION in new stock about to be sold into market Every dollar that buys it has to come from somewhere It comes from your portfolio Here's what's happening June 12: SpaceX went public. $1.75 TRILLION valuation. A $75 billion raise - the largest IPO ever Q4: OpenAI lists near a $1 trillion valuation October: Anthropic. ~$965 billion. Raising $60 billion+. This isn't three IPOs It's a coordinated liquidity drain Here's mechanism Wall Street doesn't conjure new cash to fund IPOs Funds sell what they already hold to buy the new name Translation: three of the biggest stores in history all open on same street, same season and everyone has to empty their wallet to shop So what gets sold first? Thing every fund is overweight: $SPX We've seen this movie before 2021: record IPO and SPAC supply. Peak euphoria 2022: worst year for stocks since 2008 And there's more $SPX just printed an all-time high at 7,620 Up 10% on year. Everyone all-in. Nobody hedged That's not strength. That's setup So connect dots Record highs. Record euphoria. Record new supply - all at once My target: $SPX to 4,100 A 46% collapse from top Right back to where this entire AI melt-up began You're early or you're exit. There's no third option Important: Over past few days I nailed big $SPX sell-offs, $BTC ATH in 2025 and market dump from $126k → $60k Missed those calls? - don't sweat it! Turn on notifs - next market calls are already cooking...

🚨 WARNING: $SPX IS NOW THE EXIT LIQUIDITY Three of the largest IPOs in history One five-month window More than $135 BILLION in new stock about to be sold into market Every dollar that buys it has to come from somewhere It comes from your portfolio Here's what's happening June 12: SpaceX went public. $1.75 TRILLION valuation. A $75 billion raise - the largest IPO ever Q4: OpenAI lists near a $1 trillion valuation October: Anthropic. ~$965 billion. Raising $60 billion+. This isn't three IPOs It's a coordinated liquidity drain Here's mechanism Wall Street doesn't conjure new cash to fund IPOs Funds sell what they already hold to buy the new name Translation: three of the biggest stores in history all open on same street, same season and everyone has to empty their wallet to shop So what gets sold first? Thing every fund is overweight: $SPX We've seen this movie before 2021: record IPO and SPAC supply. Peak euphoria 2022: worst year for stocks since 2008 And there's more $SPX just printed an all-time high at 7,620 Up 10% on year. Everyone all-in. Nobody hedged That's not strength. That's setup So connect dots Record highs. Record euphoria. Record new supply - all at once My target: $SPX to 4,100 A 46% collapse from top Right back to where this entire AI melt-up began You're early or you're exit. There's no third option Important: Over past few days I nailed big $SPX sell-offs, $BTC ATH in 2025 and market dump from $126k → $60k Missed those calls? - don't sweat it! Turn on notifs - next market calls are already cooking...

Aralez 🐕

97,358 görüntüleme • 2 ay önce

Very excited to announce that at 12:20am on the 4th of July, Aalo achieved criticality on our first full-scale reactor. We cut it close, but we pulled it off!! Working towards this goal with such an incredible group of humans has been the most fulfilling period of my life. This moment has been three years in the making. Last year, Executive Order 14301 called for at least three new reactors to go critical before July 4th, 2026. As of late last Friday night, that goal has been surpassed! When the EO was announced, we immediately sat down to figure out what the most ambitious scope would be, while still being potentially achievable by July 4th. Some of the team proposed doing simplified designs with smaller fuel loads, or building in existing facilities. One thing was clear: We wouldn't have time to integrate a full-scale sodium heat-removal loop to bring the reactor to its full 30 MWt. So here’s where we landed: ➡️ We purchased the entire commercial-scale fuel load. This is enough fuel to operate at 30 MWt / 10 MWe for 3 years before refueling. To my knowledge, it’s the largest fuel load that’s been taken critical in the DOE pilot program, by far. ➡️ We built a full-scale reactor vessel in our factory, and loaded in our commercial graphite layout. All the dimensions, vessel thickness, and manufacturing techniques are essentially the same as we will use for the imminent commercial version. There will be a few minor tweaks for sodium flow and full-power, but nothing major. ➡️ We built an entirely new reactor facility at the Idaho National Lab. Building a building is easy. Building a new reactor facility comes with a mountain of paperwork, policies, operation and training procedures, security, instrumentation and control, and more. Zero-power criticality might seem like a small step, but I can tell you, going through the exercise of building a reactor and taking it to criticality has been extremely valuable. The learnings on regulatory, ops, manufacturing, supply chain, QA, economics, engineering, and design will accelerate our path through to the final iteration at full-power. America is blessed to have a recent Cambrian explosion of startups in nuclear, all going after different markets, technologies, and strategies. I’m excited that sodium, gas, salt, and new PWRs are all getting pushed forward once again. The best outcome for humanity is to have all these advance in parallel, as quickly as possible, while maintaining safety. Thanks again to our amazing team, DOE, INL, BEA, and everyone else who helped us get to where we are today. This could not have happened anywhere else. Happy birthday, America!! 🇺🇸🇺🇸🇺🇸 There has never been a better time for nuclear energy. The Second Atomic Age has begun, and this one will be here to stay.

Very excited to announce that at 12:20am on the 4th of July, Aalo achieved criticality on our first full-scale reactor. We cut it close, but we pulled it off!! Working towards this goal with such an incredible group of humans has been the most fulfilling period of my life. This moment has been three years in the making. Last year, Executive Order 14301 called for at least three new reactors to go critical before July 4th, 2026. As of late last Friday night, that goal has been surpassed! When the EO was announced, we immediately sat down to figure out what the most ambitious scope would be, while still being potentially achievable by July 4th. Some of the team proposed doing simplified designs with smaller fuel loads, or building in existing facilities. One thing was clear: We wouldn't have time to integrate a full-scale sodium heat-removal loop to bring the reactor to its full 30 MWt. So here’s where we landed: ➡️ We purchased the entire commercial-scale fuel load. This is enough fuel to operate at 30 MWt / 10 MWe for 3 years before refueling. To my knowledge, it’s the largest fuel load that’s been taken critical in the DOE pilot program, by far. ➡️ We built a full-scale reactor vessel in our factory, and loaded in our commercial graphite layout. All the dimensions, vessel thickness, and manufacturing techniques are essentially the same as we will use for the imminent commercial version. There will be a few minor tweaks for sodium flow and full-power, but nothing major. ➡️ We built an entirely new reactor facility at the Idaho National Lab. Building a building is easy. Building a new reactor facility comes with a mountain of paperwork, policies, operation and training procedures, security, instrumentation and control, and more. Zero-power criticality might seem like a small step, but I can tell you, going through the exercise of building a reactor and taking it to criticality has been extremely valuable. The learnings on regulatory, ops, manufacturing, supply chain, QA, economics, engineering, and design will accelerate our path through to the final iteration at full-power. America is blessed to have a recent Cambrian explosion of startups in nuclear, all going after different markets, technologies, and strategies. I’m excited that sodium, gas, salt, and new PWRs are all getting pushed forward once again. The best outcome for humanity is to have all these advance in parallel, as quickly as possible, while maintaining safety. Thanks again to our amazing team, DOE, INL, BEA, and everyone else who helped us get to where we are today. This could not have happened anywhere else. Happy birthday, America!! 🇺🇸🇺🇸🇺🇸 There has never been a better time for nuclear energy. The Second Atomic Age has begun, and this one will be here to stay.

Matt Loszak | Aalo Atomics

477,578 görüntüleme • 2 ay önce

🚨INTERVIEW: CRYPTO-HATING YOUTUBER’S SATIRICAL MEMECOIN HITS $240 MILLION IN 2 DAYS! Ron Basement, a 54-year-old YouTuber with a channel focused on gold and silver, hates crypto. So, he decided to launch a stupid memecoin to mock the space and its lack of inherent value. The result? The coin hit a $260M market cap within days. I’m not making this up… My cohost Buzz 巴斯光年 chats with RonsBasement 🦄💨✨ as he shares his story, and they both try to understand the HOW and the WHY. 00:53 Who is this based dev? 04:45 Gold vs. Bitcoin: Shared goals, different methods 06:10 The $5 meme coin experiment 11:39 Viral success: How it all blew up 12:34 Curiosity over profit: Ron’s true goal 13:58 Unicorn Fart Dusters: An army made it happen 16:07 Laughs, memes, and tidy whiteys 17:03 Sticking around: “No plans to abandon this baby” 19:37 Tempted to create another coin? Nope. 21:26 When $100 becomes $60,000 overnight 23:09 Trust over profit: Keeping his word 25:14 Ethics in the meme coin world 27:00 Day 11? I might sell 5%, not more 27:50 Donation wallets and trusting no one 31:30 Crossing the gold and crypto divide 35:52 Scarcity and value: Bitcoin vs. meme coins 39:37 The real value of Unicorn Fart Dust 44:30 “Just show up” – Ron’s life philosophy 51:02 Boomer sleep schedule and sacrifices

🚨INTERVIEW: CRYPTO-HATING YOUTUBER’S SATIRICAL MEMECOIN HITS $240 MILLION IN 2 DAYS! Ron Basement, a 54-year-old YouTuber with a channel focused on gold and silver, hates crypto. So, he decided to launch a stupid memecoin to mock the space and its lack of inherent value. The result? The coin hit a $260M market cap within days. I’m not making this up… My cohost Buzz 巴斯光年 chats with RonsBasement 🦄💨✨ as he shares his story, and they both try to understand the HOW and the WHY. 00:53 Who is this based dev? 04:45 Gold vs. Bitcoin: Shared goals, different methods 06:10 The $5 meme coin experiment 11:39 Viral success: How it all blew up 12:34 Curiosity over profit: Ron’s true goal 13:58 Unicorn Fart Dusters: An army made it happen 16:07 Laughs, memes, and tidy whiteys 17:03 Sticking around: “No plans to abandon this baby” 19:37 Tempted to create another coin? Nope. 21:26 When $100 becomes $60,000 overnight 23:09 Trust over profit: Keeping his word 25:14 Ethics in the meme coin world 27:00 Day 11? I might sell 5%, not more 27:50 Donation wallets and trusting no one 31:30 Crossing the gold and crypto divide 35:52 Scarcity and value: Bitcoin vs. meme coins 39:37 The real value of Unicorn Fart Dust 44:30 “Just show up” – Ron’s life philosophy 51:02 Boomer sleep schedule and sacrifices

Mario Nawfal

953,900 görüntüleme • 1 yıl önce

Demis Hassabis, the Nobel Prize winner who runs Google DeepMind just described the most consequential project on earth, and most people have no idea it exists. The project is called Isomorphic Labs and the goal is to end the way drugs have been developed for the last century. Here is the problem it is trying to solve. Developing a single drug today takes an average of 10 years, costs billions of dollars, and fails 90 percent of the time before it ever reaches a patient. Of every 10 drugs that enter clinical trials, only one makes it through. The other nine years of work, the other billions of dollars, the other scientific careers, gone. Hassabis believes AI can collapse that entire process from identifying a disease target to designing a compound that binds to it, predicts how it behaves in the body, and minimizes side effects , end to end, on a computer, before a single experiment is run. The foundation is AlphaFold, the AI system that solved one of biology's hardest problems predicting the 3D structure of every protein in the human body and won him the Nobel Prize in Chemistry in 2024. But knowing a protein's shape is only one part of designing a drug. Isomorphic is building what Hassabis describes as adjacent systems , AlphaFold 3, AlphaFold 4, and now a unified model called IsoDDE , that take the next steps. From designing the actual chemical compound that binds to the protein, predicting its binding strength, identifying new pockets to target that no one has ever found before. IsoDDE more than doubles the accuracy of AlphaFold 3 on the hardest protein-ligand prediction benchmarks that exist. Isomorphic is already running 18 to 19 live drug programs, cardiovascular disease, cancer, immunology in partnership with Eli Lilly, Novartis, and Johnson and Johnson. The first human clinical trial of a fully AI-designed drug is expected by the end of 2026. If that trial succeeds, it will be the first time in history that a drug put into a human body was designed not by a team of chemists working for a decade but by an AI working for months. Hassabis's long-term vision is even more direct, one day you describe a disease, click a button, and a drug blueprint comes out the other side. AI will solve almost all diseases within 10 years.

Demis Hassabis, the Nobel Prize winner who runs Google DeepMind just described the most consequential project on earth, and most people have no idea it exists. The project is called Isomorphic Labs and the goal is to end the way drugs have been developed for the last century. Here is the problem it is trying to solve. Developing a single drug today takes an average of 10 years, costs billions of dollars, and fails 90 percent of the time before it ever reaches a patient. Of every 10 drugs that enter clinical trials, only one makes it through. The other nine years of work, the other billions of dollars, the other scientific careers, gone. Hassabis believes AI can collapse that entire process from identifying a disease target to designing a compound that binds to it, predicts how it behaves in the body, and minimizes side effects , end to end, on a computer, before a single experiment is run. The foundation is AlphaFold, the AI system that solved one of biology's hardest problems predicting the 3D structure of every protein in the human body and won him the Nobel Prize in Chemistry in 2024. But knowing a protein's shape is only one part of designing a drug. Isomorphic is building what Hassabis describes as adjacent systems , AlphaFold 3, AlphaFold 4, and now a unified model called IsoDDE , that take the next steps. From designing the actual chemical compound that binds to the protein, predicting its binding strength, identifying new pockets to target that no one has ever found before. IsoDDE more than doubles the accuracy of AlphaFold 3 on the hardest protein-ligand prediction benchmarks that exist. Isomorphic is already running 18 to 19 live drug programs, cardiovascular disease, cancer, immunology in partnership with Eli Lilly, Novartis, and Johnson and Johnson. The first human clinical trial of a fully AI-designed drug is expected by the end of 2026. If that trial succeeds, it will be the first time in history that a drug put into a human body was designed not by a team of chemists working for a decade but by an AI working for months. Hassabis's long-term vision is even more direct, one day you describe a disease, click a button, and a drug blueprint comes out the other side. AI will solve almost all diseases within 10 years.

Milk Road AI

36,062 görüntüleme • 5 ay önce