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Four IGLs. Four different brains. Probably four different opinions. 👀 This conversation was never going to be calm. 🦧🎙️ iQOO Presents Mic On Kar Co-Powered By Redbull Episode 1 Premieres today at 7:00 PM Set your reminders 📺/ Orangutan TV #iQOOOrangutan #MicOnKar

Orangutan

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36,526 просмотров • 5 месяцев назад •via X (Twitter)

#iQOOOrangutan #MicOnKar

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‘We Built This City’ by Starship was originally going to be used in ‘FIVE NIGHTS AT FREDDY’S’ instead of ‘Talking in Your Sleep’ by The Romantics. The movements by the suit performers still used the dances from rehearsal with the Starship song, as they were not changed with the song switch. "The funny thing is, we rehearsed for four weeks, and then we shot for four weeks. The animatronics, anyway. The whole rehearsal period, we were listening to ‘We Built This City.’ That was the temp song because they had not secured whatever song they were looking for at the time. We went to set the first day, and the song was totally different. But then we got used to that one. For us, we’re so limited [with movements and dancing], it’s like, I’m going to do what I do," recalls Freddy Fazbear performer Kevin Foster. (Via: Popverse) #fnaf #fivenightsatfreddys

‘We Built This City’ by Starship was originally going to be used in ‘FIVE NIGHTS AT FREDDY’S’ instead of ‘Talking in Your Sleep’ by The Romantics. The movements by the suit performers still used the dances from rehearsal with the Starship song, as they were not changed with the song switch. "The funny thing is, we rehearsed for four weeks, and then we shot for four weeks. The animatronics, anyway. The whole rehearsal period, we were listening to ‘We Built This City.’ That was the temp song because they had not secured whatever song they were looking for at the time. We went to set the first day, and the song was totally different. But then we got used to that one. For us, we’re so limited [with movements and dancing], it’s like, I’m going to do what I do," recalls Freddy Fazbear performer Kevin Foster. (Via: Popverse) #fnaf #fivenightsatfreddys

JonnyBlox

360,851 просмотров • 7 месяцев назад

.delian says there's a good chance we have boots on the moon in 2027: "This kind of feels like 1968..." "This year, we're going to have four separate, totally net new commercial lunar landers land on the moon." "The Blue Origin Mark 1 lander is like the size of a two-story house. It's going to be the biggest manmade object that we've ever landed on the moon. Until a quarter ago, I was probably a little more skeptical that Blue Origin was actually going to land this thing. Now, you see that New Glenn is actually launching and landing." "In February, we're going to be sending humans back to the moon for the first time, not on the surface but to orbit the moon. Four different landers are going to the moon." "There's a really decent likelihood that next year we both have boots on the moon and like 10 landers landing per year on the moon, dropping off robots and supplies. 15-year-old Delian would just be so excited."

.delian says there's a good chance we have boots on the moon in 2027: "This kind of feels like 1968..." "This year, we're going to have four separate, totally net new commercial lunar landers land on the moon." "The Blue Origin Mark 1 lander is like the size of a two-story house. It's going to be the biggest manmade object that we've ever landed on the moon. Until a quarter ago, I was probably a little more skeptical that Blue Origin was actually going to land this thing. Now, you see that New Glenn is actually launching and landing." "In February, we're going to be sending humans back to the moon for the first time, not on the surface but to orbit the moon. Four different landers are going to the moon." "There's a really decent likelihood that next year we both have boots on the moon and like 10 landers landing per year on the moon, dropping off robots and supplies. 15-year-old Delian would just be so excited."

TBPN

26,272 просмотров • 7 месяцев назад

EP-356 with Ad Film Director Prahlad Kakkar premieres today at 5 PM IST “It took us three months to cast Aishwarya. Her screen time was just four seconds. We wanted a girl who could stop the country in its tracks.” Prahlad Kakkar “Sushmita said, ‘It’s fixed.’ I told her, Simone Tata won’t be swayed by public opinion.” Prahlad Kakkar on Miss India 1994 “Sachin Tendulkar suggested good script ideas in Shah Rukh’s Pepsi ad.” Prahlad Kakkar “Govinda could show up 24 hours late and still pretend he was on time.” Prahlad Kakkar Tap 'notify me' to get episode alerts: #ANIPodcast #PrahladKakkar #AishwaryaRai #AamirKhan #SachinTendulkar #SRK #SushmitaSen

EP-356 with Ad Film Director Prahlad Kakkar premieres today at 5 PM IST “It took us three months to cast Aishwarya. Her screen time was just four seconds. We wanted a girl who could stop the country in its tracks.” Prahlad Kakkar “Sushmita said, ‘It’s fixed.’ I told her, Simone Tata won’t be swayed by public opinion.” Prahlad Kakkar on Miss India 1994 “Sachin Tendulkar suggested good script ideas in Shah Rukh’s Pepsi ad.” Prahlad Kakkar “Govinda could show up 24 hours late and still pretend he was on time.” Prahlad Kakkar Tap 'notify me' to get episode alerts: #ANIPodcast #PrahladKakkar #AishwaryaRai #AamirKhan #SachinTendulkar #SRK #SushmitaSen

ANI

22,291 просмотров • 10 месяцев назад

Fake News Reports that the Islamic Republic of Iran, and the U.S.A., stopped speaking a few days ago are false and erroneous. The conversations between us have been going on continuously, including four days ago, three days ago, two days ago, one day ago, and today. Where they lead, one never knows, but as I told Iran, “It’s time, one way or another, for you to make a Deal. You’ve been doing this for 47 years, and it cannot be allowed to go on any longer!” President DONALD J. TRUMP ( TruthSocial: Jun 2 2026, 1:00 PM ET )‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍

Fake News Reports that the Islamic Republic of Iran, and the U.S.A., stopped speaking a few days ago are false and erroneous. The conversations between us have been going on continuously, including four days ago, three days ago, two days ago, one day ago, and today. Where they lead, one never knows, but as I told Iran, “It’s time, one way or another, for you to make a Deal. You’ve been doing this for 47 years, and it cannot be allowed to go on any longer!” President DONALD J. TRUMP ( TruthSocial: Jun 2 2026, 1:00 PM ET )‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍‌‍

Commentary Donald J. Trump Truth Social Posts On X

112,694 просмотров • 2 месяцев назад

Command Sergeant Major Robert Dean on UFO origins: "We have been visited by at least four different extraterrestrial civilizations" 🛸👽👀 "One looks so much like us that they could walk through the corridors of NATO headquarters and no one would know." With Cosmic Top Secret clearance at SHAPE, he read the classified NATO Assessment in the 1960s. His most powerful conclusion: "There is absolutely no threat to humanity." After seeing the document he admitted, "I was never the same again." A 28-year Army veteran speaking from direct experience. What part of this revelation hits you the hardest? Do you believe one of these visitors could already be walking among us today?

Command Sergeant Major Robert Dean on UFO origins: "We have been visited by at least four different extraterrestrial civilizations" 🛸👽👀 "One looks so much like us that they could walk through the corridors of NATO headquarters and no one would know." With Cosmic Top Secret clearance at SHAPE, he read the classified NATO Assessment in the 1960s. His most powerful conclusion: "There is absolutely no threat to humanity." After seeing the document he admitted, "I was never the same again." A 28-year Army veteran speaking from direct experience. What part of this revelation hits you the hardest? Do you believe one of these visitors could already be walking among us today?

Interstellar

35,316 просмотров • 3 месяцев назад

Stormy Daniels is helping Trump win this case! She said Donald Trump never offered her a penny and never told her to keep silent. That would mean that he never tried to hide the story for political purposes. She said Cohen worked out the payment agreement with her; this puts Cohen on the hook, not Trump. Trump was at no point involved. She said she is getting paid for going after TRUMP and is apparently committing FRAUD by putting the funds in her daughter’s name instead of paying what she owes Trump! SHE HAS DENIED THE AFFAIR WITH TRUMP FOUR DIFFERENT TIMES; but brought up SALACIOUS LIES ABOUT 2006 NOT RELATED TO THE CASE! Alvin Bragg and Mike Colangelo should be DISBARRED!

Stormy Daniels is helping Trump win this case! She said Donald Trump never offered her a penny and never told her to keep silent. That would mean that he never tried to hide the story for political purposes. She said Cohen worked out the payment agreement with her; this puts Cohen on the hook, not Trump. Trump was at no point involved. She said she is getting paid for going after TRUMP and is apparently committing FRAUD by putting the funds in her daughter’s name instead of paying what she owes Trump! SHE HAS DENIED THE AFFAIR WITH TRUMP FOUR DIFFERENT TIMES; but brought up SALACIOUS LIES ABOUT 2006 NOT RELATED TO THE CASE! Alvin Bragg and Mike Colangelo should be DISBARRED!

TRUTH NOW ⭐️⭐️⭐️🗽 🎺

150,133 просмотров • 2 лет назад

🚨 FOLLOW-UP BOMBSHELL: Candace Owens Releases Video "Proof of Life" After Marathon 4.5-Hour Meeting with Erika Kirk! 🎥🤝 Candace Owens just dropped this exhausted but optimistic update: “Four and a half hours later, I'm alive... very productive conversation. I asked EVERY single question – from Egyptian planes to Turning Point USA faith. I was very surprised by some of the answers... and they were surprised by the intel I shared.” She says it “probably should have happened a long time ago” and calls it “a very big step in the right direction.” Full explosive rundown coming TOMORROW on her livestream – nothing held back! The thaw is real, folks. Agreements on more than expected, surprises on both sides, and now closer to the same goals. Is the rift finally healing? Or are bigger revelations dropping tomorrow? 👀 Set your reminders – you DO NOT want to miss this! ⏰ RT like crazy! Tomorrow’s livestream could be the most watched broadcast of the year. Buckle up! 🚀

🚨 FOLLOW-UP BOMBSHELL: Candace Owens Releases Video "Proof of Life" After Marathon 4.5-Hour Meeting with Erika Kirk! 🎥🤝 Candace Owens just dropped this exhausted but optimistic update: “Four and a half hours later, I'm alive... very productive conversation. I asked EVERY single question – from Egyptian planes to Turning Point USA faith. I was very surprised by some of the answers... and they were surprised by the intel I shared.” She says it “probably should have happened a long time ago” and calls it “a very big step in the right direction.” Full explosive rundown coming TOMORROW on her livestream – nothing held back! The thaw is real, folks. Agreements on more than expected, surprises on both sides, and now closer to the same goals. Is the rift finally healing? Or are bigger revelations dropping tomorrow? 👀 Set your reminders – you DO NOT want to miss this! ⏰ RT like crazy! Tomorrow’s livestream could be the most watched broadcast of the year. Buckle up! 🚀

Project Constitution

689,871 просмотров • 8 месяцев назад

Fibonacci numbers are the sequence where each one is the sum of the two before it: 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233… Every so often one of them is prime these are called Fibonacci primes, and only 21 are known. Here's the new discovery, take any Fibonacci prime (past the first few small ones) and reduce it to modulo 144. You'd expect the leftover remainder could be almost anything , 144 different possibilities. It never is. It only ever lands on one of just four numbers: 1, 5, 13, or 89. Mod 144... This just means finding the remainder after dividing by 144. Here's the three-step process, using the actual Fibonacci prime 1597 as an example. 1. Divide the number by 144. 1597÷144=11.09. 2. Keep only the whole number part, then multiply back by 144. 11×144=1584 3. Subtract to find what's left over. 1597 - 1584 = 13 So 1597 "reduced mod 144" is 13 one of exactly the four allowed numbers. Try it with any of the other 20 known Fibonacci primes and you'll always land on 1, 5, 13, or 89. Never anything else. That's a 97% reduction. Out of 144 possible remainders, 140 of them are simply forbidden to Fibonacci primes. We proved this happens every single time, for every Fibonacci prime known, with zero exceptions. It gets stranger. Those four allowed remainders 1, 5, 13, 89 are themselves smaller numbers from the same Fibonacci sequence. Every Fibonacci prime, when you shrink it down this way, lands back on another Fibonacci prime. The sequence points back at itself. And the positions that produce those four numbers the 1st, 5th, 7th, and 11th spots in the sequence turn out to be exactly the same four numbers that mark critical boundaries in a completely separate math system,(PLCT) one based on multiplying the numbers 2 and 3 instead of adding golden-ratio powers. Two totally different number systems, built from different operations, share the same four "checkpoint" numbers. The animation traces 233 different ways to build the number 144 purely out of powers of the golden ratio (phi ≈ 1.618, the number where a whole equals its bigger part divided by its smaller part). 233 is itself a Fibonacci number the sequence even shows up in how many ways you can build it. Every flash you see is one valid combination, spiraling and glowing as it cycles through all of them. The Golden Lattice ϕ-Power Representations, the General Count Law, and the Fibonacci Prime Mod-144 Signature Theorem

Fibonacci numbers are the sequence where each one is the sum of the two before it: 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233… Every so often one of them is prime these are called Fibonacci primes, and only 21 are known. Here's the new discovery, take any Fibonacci prime (past the first few small ones) and reduce it to modulo 144. You'd expect the leftover remainder could be almost anything , 144 different possibilities. It never is. It only ever lands on one of just four numbers: 1, 5, 13, or 89. Mod 144... This just means finding the remainder after dividing by 144. Here's the three-step process, using the actual Fibonacci prime 1597 as an example. 1. Divide the number by 144. 1597÷144=11.09. 2. Keep only the whole number part, then multiply back by 144. 11×144=1584 3. Subtract to find what's left over. 1597 - 1584 = 13 So 1597 "reduced mod 144" is 13 one of exactly the four allowed numbers. Try it with any of the other 20 known Fibonacci primes and you'll always land on 1, 5, 13, or 89. Never anything else. That's a 97% reduction. Out of 144 possible remainders, 140 of them are simply forbidden to Fibonacci primes. We proved this happens every single time, for every Fibonacci prime known, with zero exceptions. It gets stranger. Those four allowed remainders 1, 5, 13, 89 are themselves smaller numbers from the same Fibonacci sequence. Every Fibonacci prime, when you shrink it down this way, lands back on another Fibonacci prime. The sequence points back at itself. And the positions that produce those four numbers the 1st, 5th, 7th, and 11th spots in the sequence turn out to be exactly the same four numbers that mark critical boundaries in a completely separate math system,(PLCT) one based on multiplying the numbers 2 and 3 instead of adding golden-ratio powers. Two totally different number systems, built from different operations, share the same four "checkpoint" numbers. The animation traces 233 different ways to build the number 144 purely out of powers of the golden ratio (phi ≈ 1.618, the number where a whole equals its bigger part divided by its smaller part). 233 is itself a Fibonacci number the sequence even shows up in how many ways you can build it. Every flash you see is one valid combination, spiraling and glowing as it cycles through all of them. The Golden Lattice ϕ-Power Representations, the General Count Law, and the Fibonacci Prime Mod-144 Signature Theorem

CTFTHEORY

12,853 просмотров • 1 месяц назад

🚨 Delhi | As the Delhi Police did not grant permission for the proposed Parliament march, thousands of people from different states gathered at Jantar Mantar while many more were reportedly on their way. The march had not yet begun. Addressing the gathering, Abhijeet Dipke said: "Until yesterday, they kept saying there would be no permission. Today, they are calling us and asking, 'Which route will you take?'" "Look around today—all four roads leading to Jantar Mantar are packed with people." "Wait a little. Today, independent India is going to witness one of its biggest marches." "For the past 10–12 years, democracy was, in our view, being weakened. By sitting at Jantar Mantar for a month, you have revived the spirit of democracy."

🚨 Delhi | As the Delhi Police did not grant permission for the proposed Parliament march, thousands of people from different states gathered at Jantar Mantar while many more were reportedly on their way. The march had not yet begun. Addressing the gathering, Abhijeet Dipke said: "Until yesterday, they kept saying there would be no permission. Today, they are calling us and asking, 'Which route will you take?'" "Look around today—all four roads leading to Jantar Mantar are packed with people." "Wait a little. Today, independent India is going to witness one of its biggest marches." "For the past 10–12 years, democracy was, in our view, being weakened. By sitting at Jantar Mantar for a month, you have revived the spirit of democracy."

CJP Updates

77,859 просмотров • 1 месяц назад

Matt Damon revealed he left Harvard just two weeks before graduating because he couldn’t pause a movie shoot for his final exams. Amy Poehler: And what did your mom think about you not finishing Harvard? Matt Damon: Uh, well by then, I mean, I was working. They, they were Amy Poehler: But you were really close to finishing! Matt Damon: I was. I was. In fact, I, I, I probably... I probably did five years of classes there because I would go, and then there was one semester, the last semester I left, I was two weeks away from the end of the semester. So I'd done everything, all I had to do was take the finals, but the rule was, at the time at least, you had to take your finals at the exact moment they were offered in Cambridge. And I was like, I'm number five on the call sheet, you think I'm going to shut a movie down like for three hours, four different times? Like, I just had to eat the semester.

Matt Damon revealed he left Harvard just two weeks before graduating because he couldn’t pause a movie shoot for his final exams. Amy Poehler: And what did your mom think about you not finishing Harvard? Matt Damon: Uh, well by then, I mean, I was working. They, they were Amy Poehler: But you were really close to finishing! Matt Damon: I was. I was. In fact, I, I, I probably... I probably did five years of classes there because I would go, and then there was one semester, the last semester I left, I was two weeks away from the end of the semester. So I'd done everything, all I had to do was take the finals, but the rule was, at the time at least, you had to take your finals at the exact moment they were offered in Cambridge. And I was like, I'm number five on the call sheet, you think I'm going to shut a movie down like for three hours, four different times? Like, I just had to eat the semester.

Ruzy.hl

915,015 просмотров • 1 месяц назад

E: I’ve expressed my wish to the senior that I want to be in a ghost movie. But I want to see ghost not be one. 🤣🤣🤣 E: but when I saw the dialogue and story, I thought, it must be me. So I immediately took on the role. It’s also the first time I get to work with beoncloud and when heard there will be Nong Freen, P jess, apo, I said yes. F: similar to P Fah. Never played this kind of role. When read it I go.. oh very challenging and if the fans see me I. This role, it would be different. Never seen before. ….. What genre is the movie? E: everything mixed together. Haven’t seen any Thai movie like this for a while. What killed Malee? E: her beauty F: really beautiful, even when die/died E: want everyone to see how to die like a queen E: I was very surprised by the acting of apo and p jess. I have to say all four portrayed their characters so well that when shoot, it was so much fun. I must say… F: this person go at that, that person go at this,,,, no one backed down E: in one scene where all four go at it, goosebumps. Each has a role/screen time that was a perfect mix… look… goosebumps

E: I’ve expressed my wish to the senior that I want to be in a ghost movie. But I want to see ghost not be one. 🤣🤣🤣 E: but when I saw the dialogue and story, I thought, it must be me. So I immediately took on the role. It’s also the first time I get to work with beoncloud and when heard there will be Nong Freen, P jess, apo, I said yes. F: similar to P Fah. Never played this kind of role. When read it I go.. oh very challenging and if the fans see me I. This role, it would be different. Never seen before. ….. What genre is the movie? E: everything mixed together. Haven’t seen any Thai movie like this for a while. What killed Malee? E: her beauty F: really beautiful, even when die/died E: want everyone to see how to die like a queen E: I was very surprised by the acting of apo and p jess. I have to say all four portrayed their characters so well that when shoot, it was so much fun. I must say… F: this person go at that, that person go at this,,,, no one backed down E: in one scene where all four go at it, goosebumps. Each has a role/screen time that was a perfect mix… look… goosebumps

panpan

18,448 просмотров • 6 месяцев назад

Marc Andreessen says the four most dangerous words in investing are "this time is different." But this time it's actually different. He's referring to the AI boom when he mentioned this. For 80 years, the industry has followed the same pattern. 1) Excitement builds 2) Money pours in 3) The technology fails to deliver 4) The industry collapses. Here are 4 examples of when this happened in AI: • In 1943, the original neural network paper was written. It proved that simple mathematical models of brain cells could perform any logical computation. It was a foundational breakthrough but didn't takeoff. • In 1955, scientists got a grant to spend 10 weeks at Dartmouth and believed they could achieve AGI by the end of the summer. They did not. • In the 1980s, corporations poured over a billion dollars into "expert systems," AI programs designed to replicate the decision-making of human specialists in medicine, finance, and engineering. By 1987, this entire market crashed. • In 2016-17, machine learning hype surged again. It faded quickly. Each time, the technology underdelivered and the money dried up. But here's what really different about this time. AI has made four breakthroughs back to back. 1) Language models 2) Reasoning 3) Coding agents 4) Self-improvement And ALL are generating revenue in production right now. That's why old Nvidia chips are gaining value instead of depreciating. And this has literally never happened in computing before. Every GPU is sold out for the next 3-4 years. He calls betting against this "essentially suicidal" and "an invitation to get your face ripped off." He calls it "an 80-year overnight success." Researchers worked their entire lives on this, and many passed away without seeing it work. Now it is all arriving at once. — Marc Andreessen (Marc Andreessen 🇺🇸), co-founder at a16z (a16z) on the Latent Space podcast (Latent.Space)

Marc Andreessen says the four most dangerous words in investing are "this time is different." But this time it's actually different. He's referring to the AI boom when he mentioned this. For 80 years, the industry has followed the same pattern. 1) Excitement builds 2) Money pours in 3) The technology fails to deliver 4) The industry collapses. Here are 4 examples of when this happened in AI: • In 1943, the original neural network paper was written. It proved that simple mathematical models of brain cells could perform any logical computation. It was a foundational breakthrough but didn't takeoff. • In 1955, scientists got a grant to spend 10 weeks at Dartmouth and believed they could achieve AGI by the end of the summer. They did not. • In the 1980s, corporations poured over a billion dollars into "expert systems," AI programs designed to replicate the decision-making of human specialists in medicine, finance, and engineering. By 1987, this entire market crashed. • In 2016-17, machine learning hype surged again. It faded quickly. Each time, the technology underdelivered and the money dried up. But here's what really different about this time. AI has made four breakthroughs back to back. 1) Language models 2) Reasoning 3) Coding agents 4) Self-improvement And ALL are generating revenue in production right now. That's why old Nvidia chips are gaining value instead of depreciating. And this has literally never happened in computing before. Every GPU is sold out for the next 3-4 years. He calls betting against this "essentially suicidal" and "an invitation to get your face ripped off." He calls it "an 80-year overnight success." Researchers worked their entire lives on this, and many passed away without seeing it work. Now it is all arriving at once. — Marc Andreessen (Marc Andreessen 🇺🇸), co-founder at a16z (a16z) on the Latent Space podcast (Latent.Space)

GeniusThinking

51,298 просмотров • 4 месяцев назад

“If I didn’t have this test, I would have no idea I have stage four cancer.” Over the weekend I attended the Young Survival Coalition conference where I met Lori. Lori was diagnosed with stage two breast cancer in 2024 and completed treatment. When she asked what monitoring would look like afterward, she was told it would mostly be based on symptoms. That wasn’t good enough for her. She asked for the Signatera test to detect recurrence earlier. Her oncologist supported it…but insurance denied it multiple times. And here’s the part that stopped me in my tracks: the test was ordered by her oncologist, but the denial was signed by a family medicine doctor working for the insurance company. Lori told me something during our conversation that meant a lot to me: watching my videos helped her understand how important patient advocacy is, and it gave her the determination to keep pushing. Eventually she was able to get the test. Her first result was negative. Four months later, the second test came back positive. A PET scan confirmed stage four metastatic breast cancer with no symptoms. Because she advocated for herself, her cancer was detected earlier than it otherwise would have been. That means more treatment options and a different path forward. Lori, it was an honor to meet you. Your courage and determination are going to help so many other patients learn to advocate for themselves too. Natera HHS

“If I didn’t have this test, I would have no idea I have stage four cancer.” Over the weekend I attended the Young Survival Coalition conference where I met Lori. Lori was diagnosed with stage two breast cancer in 2024 and completed treatment. When she asked what monitoring would look like afterward, she was told it would mostly be based on symptoms. That wasn’t good enough for her. She asked for the Signatera test to detect recurrence earlier. Her oncologist supported it…but insurance denied it multiple times. And here’s the part that stopped me in my tracks: the test was ordered by her oncologist, but the denial was signed by a family medicine doctor working for the insurance company. Lori told me something during our conversation that meant a lot to me: watching my videos helped her understand how important patient advocacy is, and it gave her the determination to keep pushing. Eventually she was able to get the test. Her first result was negative. Four months later, the second test came back positive. A PET scan confirmed stage four metastatic breast cancer with no symptoms. Because she advocated for herself, her cancer was detected earlier than it otherwise would have been. That means more treatment options and a different path forward. Lori, it was an honor to meet you. Your courage and determination are going to help so many other patients learn to advocate for themselves too. Natera HHS

Elisabeth Potter MD

32,826 просмотров • 5 месяцев назад

HUGE ‼️ After public pushback Instacart ends dynamic pricing! We are all making a difference! “Instacart is pulling the plug on AI setting different prices for different customers — Effective immediately, Instacart is ending all item price tests on our platform” “The fact that they caved so quickly says to me that they know that they were doing something wrong.” “Think Tank Groundwork Collaborative found that Instacart's algorithmic pricing charged various prices for the same item from the same store. The prices varied by 7% on average, depending on the shopper, which could cost a family of four $4, $1,200 more per year. One example, according to the report, a dozen eggs added to virtual carts at the same time from one Washington, D.C. grocery store rang up at five different prices, ranging from $3.99 to $4.79.” “Instacart insists that this price testing was not dynamic pricing (which is a lie, it was proven to be dynamic pricing) — the FTC is now probing Instacart over these controversial practices.”

HUGE ‼️ After public pushback Instacart ends dynamic pricing! We are all making a difference! “Instacart is pulling the plug on AI setting different prices for different customers — Effective immediately, Instacart is ending all item price tests on our platform” “The fact that they caved so quickly says to me that they know that they were doing something wrong.” “Think Tank Groundwork Collaborative found that Instacart's algorithmic pricing charged various prices for the same item from the same store. The prices varied by 7% on average, depending on the shopper, which could cost a family of four $4, $1,200 more per year. One example, according to the report, a dozen eggs added to virtual carts at the same time from one Washington, D.C. grocery store rang up at five different prices, ranging from $3.99 to $4.79.” “Instacart insists that this price testing was not dynamic pricing (which is a lie, it was proven to be dynamic pricing) — the FTC is now probing Instacart over these controversial practices.”

Wall Street Apes

71,374 просмотров • 8 месяцев назад

"A terrible rape takes place at RG KAR, God forbid if the rapist was a Muslim, God forbid! Terrible rapes take place in different parts of the country. Are we going to define the scale of the crime based on the religion of the perpetrator?" said Rajdeep Sardesai, as he expressed his angst against the sowing of hate by India's 'mainstream' media on the basis of religion. "Television media has much to answer for. I am not going to stand here and claim I am different. I am a part of that wider television mainstream media. We are also at fault," he said. In his latest book - ' 2024: The Election that Surprised India' - the veteran journalist talks about the damage done by the Indian media to the country's social fabric. But on the latest episode of 'Badi Badi Baatein', Sardesai also explains why "it is not easy for a TV news channel as big as India Today to have him as a prime time news anchor." Watch Rajdeep Sardesai in this fun, passionate, and heartfelt conversation on 'Badi Badi Baatein' with Associate Editor Eshwar and other journalists from The Quint. HarperCollins HarperCollins

"A terrible rape takes place at RG KAR, God forbid if the rapist was a Muslim, God forbid! Terrible rapes take place in different parts of the country. Are we going to define the scale of the crime based on the religion of the perpetrator?" said Rajdeep Sardesai, as he expressed his angst against the sowing of hate by India's 'mainstream' media on the basis of religion. "Television media has much to answer for. I am not going to stand here and claim I am different. I am a part of that wider television mainstream media. We are also at fault," he said. In his latest book - ' 2024: The Election that Surprised India' - the veteran journalist talks about the damage done by the Indian media to the country's social fabric. But on the latest episode of 'Badi Badi Baatein', Sardesai also explains why "it is not easy for a TV news channel as big as India Today to have him as a prime time news anchor." Watch Rajdeep Sardesai in this fun, passionate, and heartfelt conversation on 'Badi Badi Baatein' with Associate Editor Eshwar and other journalists from The Quint. HarperCollins HarperCollins

The Quint

149,448 просмотров • 1 год назад

Generative Adversarial Network (GAN) by hand ✍️ ~ 9 steps walkthrough below The Gen in GenAI came from this landmark paper by Ian Goodfellow et al., 12 years ago. The paper showed that a neural network can not only classify but also turn upside down to generate realistic looking images. The secret? We pit two of them against each other: a Generator turns noise into fake data, and a Discriminator learns to tell fake from real, pushing the Generator to keep doing better. One runs upside down, the other right way up. I drew and calculated one entirely by hand. Goal: generate realistic 4D data out of 2D noise, filling in every cell yourself. = 1. Given = Four noise vectors in 2D, and four real data vectors in 4D. = 2. Generator, first layer = Let us multiply the noise by weights and biases to get new features. = 3. ReLU = We apply the activation, and -1 and -2 are crossed out and set to 0. = 4. Generator, second layer = Let us multiply again. ReLU applies here too, but every value is already positive, so nothing changes. What comes out is the fake data F, made by a two-layer generator out of nothing but noise. = 5. Discriminator, first layer = We feed it both, the four fakes and the four real vectors, through the same weights. It never learns which is which from the layout, only from the numbers. = 6. Discriminator, second layer = Let us reduce each data vector to a single feature Z. Eight vectors in, eight numbers out. = 7. Sigmoid = We turn each Z into a probability Y. A 1 means the discriminator is certain the data is real, a 0 means certain it is fake. = 8. Training the Discriminator = Let us take the gradients as Y minus YD, where YD is what the discriminator should have said: 0 for the four fakes, 1 for the four real. Why so simple? Because pairing sigmoid with binary cross entropy loss makes the math collapse to exactly this subtraction. Its loss uses both halves of the page. = 9. Training the Generator = We do it again, as Y minus YG, and YG is [1, 1, 1, 1]: the generator wants the discriminator to call every fake real. Same predictions, different target, opposite goal. Its loss uses only the fakes. The outputs: Fake data F = [1, 2, 3, 1], [1, 1, 2, 1], [2, 2, 4, 2], [1, 0, 1, 1] Predictions on fakes = [.7, .5, .9, .3] Predictions on real = [.7, .9, .9, 1] Discriminator gradients = [.7, .5, .9, .3] and [-.3, -.1, -.1, 0] Generator gradients = [-.3, -.5, -.1, -.7] The takeaway: the adversarial part is one subtraction done twice. The same eight predictions, scored against two opposite targets, send one set of gradients back through the blue weights and another back through the green ones. 💾 Save this post!

Generative Adversarial Network (GAN) by hand ✍️ ~ 9 steps walkthrough below The Gen in GenAI came from this landmark paper by Ian Goodfellow et al., 12 years ago. The paper showed that a neural network can not only classify but also turn upside down to generate realistic looking images. The secret? We pit two of them against each other: a Generator turns noise into fake data, and a Discriminator learns to tell fake from real, pushing the Generator to keep doing better. One runs upside down, the other right way up. I drew and calculated one entirely by hand. Goal: generate realistic 4D data out of 2D noise, filling in every cell yourself. = 1. Given = Four noise vectors in 2D, and four real data vectors in 4D. = 2. Generator, first layer = Let us multiply the noise by weights and biases to get new features. = 3. ReLU = We apply the activation, and -1 and -2 are crossed out and set to 0. = 4. Generator, second layer = Let us multiply again. ReLU applies here too, but every value is already positive, so nothing changes. What comes out is the fake data F, made by a two-layer generator out of nothing but noise. = 5. Discriminator, first layer = We feed it both, the four fakes and the four real vectors, through the same weights. It never learns which is which from the layout, only from the numbers. = 6. Discriminator, second layer = Let us reduce each data vector to a single feature Z. Eight vectors in, eight numbers out. = 7. Sigmoid = We turn each Z into a probability Y. A 1 means the discriminator is certain the data is real, a 0 means certain it is fake. = 8. Training the Discriminator = Let us take the gradients as Y minus YD, where YD is what the discriminator should have said: 0 for the four fakes, 1 for the four real. Why so simple? Because pairing sigmoid with binary cross entropy loss makes the math collapse to exactly this subtraction. Its loss uses both halves of the page. = 9. Training the Generator = We do it again, as Y minus YG, and YG is [1, 1, 1, 1]: the generator wants the discriminator to call every fake real. Same predictions, different target, opposite goal. Its loss uses only the fakes. The outputs: Fake data F = [1, 2, 3, 1], [1, 1, 2, 1], [2, 2, 4, 2], [1, 0, 1, 1] Predictions on fakes = [.7, .5, .9, .3] Predictions on real = [.7, .9, .9, 1] Discriminator gradients = [.7, .5, .9, .3] and [-.3, -.1, -.1, 0] Generator gradients = [-.3, -.5, -.1, -.7] The takeaway: the adversarial part is one subtraction done twice. The same eight predictions, scored against two opposite targets, send one set of gradients back through the blue weights and another back through the green ones. 💾 Save this post!

Tom Yeh

16,752 просмотров • 1 месяц назад

PDC CEO Matt Porter admits current Premier League format is nearing the end of its life cycle and recognises divided opinion "People see this format through different eyes. If you go once and you go to an arena you want to see a winner on the night. "You're never going to please everybody with everything that you do but I think whilst people are talking about it that shows they care. "Yeah probably [we are getting towards the end of the format's life cycle]. We've had it for four years, we wouldn't have it for eight years. "If you look at the life cycle of it then yes it would certainly be in that part [latter stages] rather than in the ascendancy." #Darts

PDC CEO Matt Porter admits current Premier League format is nearing the end of its life cycle and recognises divided opinion "People see this format through different eyes. If you go once and you go to an arena you want to see a winner on the night. "You're never going to please everybody with everything that you do but I think whilst people are talking about it that shows they care. "Yeah probably [we are getting towards the end of the format's life cycle]. We've had it for four years, we wouldn't have it for eight years. "If you look at the life cycle of it then yes it would certainly be in that part [latter stages] rather than in the ascendancy." #Darts

Oche180

84,204 просмотров • 2 месяцев назад

The Supreme Court hears arguments tomorrow on birthright citizenship. Before you accept any framing that this is a new legal question — it isn’t. We’ve been here before. Twice. Same amendment. Same four words. Different targets. The 14th Amendment, ratified 1868, says people born in the United States and “subject to the jurisdiction thereof” are citizens. The Trump administration’s entire argument rests on those four words — claiming undocumented immigrants aren’t truly “subject to jurisdiction,” so their U.S.-born children aren’t automatically citizens. We’ve heard this before. 1884 — Elk v. Wilkins John Elk was a Winnebago man born on U.S. soil. He moved to Omaha, renounced his tribal allegiance, tried to register to vote, and was denied. Government’s argument: not “subject to jurisdiction” at birth. Supreme Court agreed, 7-2. Same four words. Different group. 1898 — United States v. Wong Kim Ark Wong Kim Ark was born in San Francisco to Chinese immigrant parents — parents who could never become citizens under the Chinese Exclusion Acts. When he returned from a trip to China, they turned him away at the border. Same argument. The Supreme Court rejected it 6-2 and ruled the 14th Amendment means what it says. That ruling has stood for 128 years. 2026 — Trump v. Barbara The administration is literally citing Elk v. Wilkins in its brief — a case widely considered superseded by Wong Kim Ark — arguing undocumented immigrants don’t fall under U.S. “political jurisdiction.” Also worth noting: this same administration prosecutes, detains, and deports undocumented people through federal authority. But suddenly they’re not “subject to jurisdiction” when it comes to their kids’ citizenship. They want it both ways. The 14th Amendment was written in the wake of Dred Scott specifically to prevent the government from carving classes of people born on American soil out of citizenship. Arguments are tomorrow.

The Supreme Court hears arguments tomorrow on birthright citizenship. Before you accept any framing that this is a new legal question — it isn’t. We’ve been here before. Twice. Same amendment. Same four words. Different targets. The 14th Amendment, ratified 1868, says people born in the United States and “subject to the jurisdiction thereof” are citizens. The Trump administration’s entire argument rests on those four words — claiming undocumented immigrants aren’t truly “subject to jurisdiction,” so their U.S.-born children aren’t automatically citizens. We’ve heard this before. 1884 — Elk v. Wilkins John Elk was a Winnebago man born on U.S. soil. He moved to Omaha, renounced his tribal allegiance, tried to register to vote, and was denied. Government’s argument: not “subject to jurisdiction” at birth. Supreme Court agreed, 7-2. Same four words. Different group. 1898 — United States v. Wong Kim Ark Wong Kim Ark was born in San Francisco to Chinese immigrant parents — parents who could never become citizens under the Chinese Exclusion Acts. When he returned from a trip to China, they turned him away at the border. Same argument. The Supreme Court rejected it 6-2 and ruled the 14th Amendment means what it says. That ruling has stood for 128 years. 2026 — Trump v. Barbara The administration is literally citing Elk v. Wilkins in its brief — a case widely considered superseded by Wong Kim Ark — arguing undocumented immigrants don’t fall under U.S. “political jurisdiction.” Also worth noting: this same administration prosecutes, detains, and deports undocumented people through federal authority. But suddenly they’re not “subject to jurisdiction” when it comes to their kids’ citizenship. They want it both ways. The 14th Amendment was written in the wake of Dred Scott specifically to prevent the government from carving classes of people born on American soil out of citizenship. Arguments are tomorrow.

Dittie

12,968 просмотров • 4 месяцев назад

$FOUR DIFFERENT VENDORS ARE NOW SHIPPING GB10 MINI PCs WITH 128GB UNIFIED MEMORY, AND ONE MICROTIK CRS 804 SWITCH CAN CONNECT UP TO EIGHT OF THEM INTO A 1 TERABYTE LOCAL AI CLUSTER 00:00 he points at the MikroTik CRS 804, "you need some kind of switch that'll handle QSFP56 ports like these", the interconnect that makes the whole cluster possible the GB10 ecosystem is no longer just Nvidia. Dell Pro Max GB10, ASUS Ascent GX10, and MSI Edge Expert all ship the same Grace Blackwell Superchip with 128GB of coherent memory. same silicon, different cases, same 200 gigabit ports on the back the CRS 804 is what connects them at prosumer prices. four 400 gigabit QSFP56 ports on one 1U chassis, breakout cables that split each port into two 200 gigabit lanes. one switch drives eight GB10 units in parallel do the math. eight nodes at 128GB each equals 1024GB of pooled unified memory across the cluster. run vLLM, shard a frontier model across all eight, and inference happens locally on hardware that fits in half a rack the real limiter revealed in the stress test was never throttling. it was interconnect topology, exactly the layer this switch fixes at a fraction of enterprise switch pricing $400 a month for combined chatgpt pro and claude code max hits $4,800 a year per developer. a small team of five running through this cluster pays back inside eight months and never expires the article covers the buying ladder for a single desk. this post is proof of the cluster ladder that starts where the desk one ends save this before the GB10 lineup grows past four vendors and prosumer cluster switches move upmarket$

FOUR DIFFERENT VENDORS ARE NOW SHIPPING GB10 MINI PCs WITH 128GB UNIFIED MEMORY, AND ONE MICROTIK CRS 804 SWITCH CAN CONNECT UP TO EIGHT OF THEM INTO A 1 TERABYTE LOCAL AI CLUSTER 00:00 he points at the MikroTik CRS 804, "you need some kind of switch that'll handle QSFP56 ports like these", the interconnect that makes the whole cluster possible the GB10 ecosystem is no longer just Nvidia. Dell Pro Max GB10, ASUS Ascent GX10, and MSI Edge Expert all ship the same Grace Blackwell Superchip with 128GB of coherent memory. same silicon, different cases, same 200 gigabit ports on the back the CRS 804 is what connects them at prosumer prices. four 400 gigabit QSFP56 ports on one 1U chassis, breakout cables that split each port into two 200 gigabit lanes. one switch drives eight GB10 units in parallel do the math. eight nodes at 128GB each equals 1024GB of pooled unified memory across the cluster. run vLLM, shard a frontier model across all eight, and inference happens locally on hardware that fits in half a rack the real limiter revealed in the stress test was never throttling. it was interconnect topology, exactly the layer this switch fixes at a fraction of enterprise switch pricing $400 a month for combined chatgpt pro and claude code max hits $4,800 a year per developer. a small team of five running through this cluster pays back inside eight months and never expires the article covers the buying ladder for a single desk. this post is proof of the cluster ladder that starts where the desk one ends save this before the GB10 lineup grows past four vendors and prosumer cluster switches move upmarket

NO1ennn

59,725 просмотров • 1 месяц назад

"If you're in the bowels of Crypto Twitter it's the era of despair, but when you talk to Morgan Stanley or Wells Fargo, it's completely different" Bitwise CIO Matt Hougan on the gap between Crypto Twitter's despair and Wall Street's calm "If you're in the bowels of Crypto Twitter, it's the era of despair, Bitcoin is over, this is the end. But when you talk to Morgan Stanley, Wells Fargo, UBS or Merrill Lynch, it's completely different. They started reorienting around Bitcoin two years ago, and they move in decade long cycles, so they're now pointing their guns at this industry and starting to move ahead" "That's why Morgan Stanley is launching Solana ETFs even when Solana is down from its all time high. Imagine we're six months from now and Bitcoin has rallied. Twitter, in despair right now, will recast today, they'll say Bitcoin is maturing, our pullback was only 50%, it was 75% in the last drawdown, this is exactly on trend" "That's the story at Wall Street already. They're like, Bitcoin goes in four year cycles, this one looks better than the last, of course we're going to allocate. There's no worry on Wall Street. What will Crypto Twitter say in six months is the conversation happening right now on Wall Street, this is a nice pullback, a good entry point"

"If you're in the bowels of Crypto Twitter it's the era of despair, but when you talk to Morgan Stanley or Wells Fargo, it's completely different" Bitwise CIO Matt Hougan on the gap between Crypto Twitter's despair and Wall Street's calm "If you're in the bowels of Crypto Twitter, it's the era of despair, Bitcoin is over, this is the end. But when you talk to Morgan Stanley, Wells Fargo, UBS or Merrill Lynch, it's completely different. They started reorienting around Bitcoin two years ago, and they move in decade long cycles, so they're now pointing their guns at this industry and starting to move ahead" "That's why Morgan Stanley is launching Solana ETFs even when Solana is down from its all time high. Imagine we're six months from now and Bitcoin has rallied. Twitter, in despair right now, will recast today, they'll say Bitcoin is maturing, our pullback was only 50%, it was 75% in the last drawdown, this is exactly on trend" "That's the story at Wall Street already. They're like, Bitcoin goes in four year cycles, this one looks better than the last, of course we're going to allocate. There's no worry on Wall Street. What will Crypto Twitter say in six months is the conversation happening right now on Wall Street, this is a nice pullback, a good entry point"

The Wolf Of All Streets

65,532 просмотров • 21 дней назад