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Sandro Tonali - Tactical Report ⚪️ ☑️Covers ground exceptionally (pace + stamina) ❌Aerially not combative enough for a 6 ☑️World-Class shot tech - but doesn't score often ☑️Another all-rounder next to Mateus - vintage RDZ Full Video: #thfc #Tottenham

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Pythagoras In Boots ⚽️

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87,483 次观看 • 2 个月前 •via X (Twitter)

体育#thfc#Tottenham
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Bradley Barcola - Tactical Report 🔴 Full Vid: ☑️Combination of a wide playmaker and 1v1 isolator ❌Wide variety of finishing is holding him back at the moment - not decisive/can't decide what to do! ☑️More of a combiner & creator on the RW than LW ❌Aerially has hang time but mistimes jump and not much conviction ☑️Defensive numbers don't correlate with his laid back demenaour In terms of tactical fit, makes sense for both Liverpool and Arsenal... #LFC #LiverpoolFC #PSG
1:34

Bradley Barcola - Tactical Report 🔴 Full Vid: ☑️Combination of a wide playmaker and 1v1 isolator ❌Wide variety of finishing is holding him back at the moment - not decisive/can't decide what to do! ☑️More of a combiner & creator on the RW than LW ❌Aerially has hang time but mistimes jump and not much conviction ☑️Defensive numbers don't correlate with his laid back demenaour In terms of tactical fit, makes sense for both Liverpool and Arsenal... #LFC #LiverpoolFC #PSG

Pythagoras In Boots ⚽️

152,503 次观看 • 24 天前

#freenbecky #beckysangels 🔥 [RED ALERT] T-POP CAMPAIGN FOR "SKIN"! 🔥 "Skin" has officially been nominated on T-POP! To push the song to the top of the charts, we can't just vote blindly—we must VOTE STRATEGICALLY! 🎬 DETAILED GUIDELINE VIDEO TIMESTAMPS: 🔸0:00 - 2:27: Tpop 🔸2:27 - 3:12 : Spotify streaming 🔸3:12 - end: Youtube Streaming ⭐️ A special thank you to BLIИK VOTING PΛGE for your invaluable experience and guidance! We truly appreciate it! The T-POP scoring system is divided into 3 main battlefronts: 🎯 FRONT 1:YOUTUBE - 50% OF THE SCORE (MOST CRITICAL) This score is based on the weekly view increase. Please read the YouTube streaming guidelines (3rd pic) and save all 3 playlists: 🔗 Playlist 1: 🔗 Playlist 2: 🔗 Playlist 3: 🎧 FRONT 2: SPOTIFY - 25% OF THE SCORE This score is based on the weekly stream increase. Please read the Spotify streaming guidelines (4th pic) and save these playlists: 🔗Playlist From BECKY OFFICIAL: 🔗Playlist From us: 📱 FRONT 3: T-POP APP - 25% OF THE SCORE Daily voting limits per account: ✅ Max 200 Paid Pop coins/day ✅ Max 10 Free Mission coins/day ✅ 1 Free coin/day 💡 Guideline for fans: DM US for free TPOP acc 🆓 For fans doing Free Daily Tasks: Please complete your daily missions diligently to save up 50 Mission coins/week: ☑️ Check-in for 7 days = +5 🟣 ☑️ Watch 4 Ads for 7 days = +28 🟣 ☑️ Share 1 content for 7 days = +7 🟣 ☑️ Vote 1 song for 7 days = +10 🟣 💰 For fans with limited time but available funds: ✅ BUY THE SPECIAL PACKAGE (1080 votes = ONLY 299 baht vs 1080 baht for normal ). 🔸 Not only is it way cheaper, but this package also gives you x2 mission coins and automatically completes ALL daily tasks for you. You just need to open the app and redeem the coins! 🔸 Watch the 2nd image and the quoted video for special package instructions. EVERYONE MUST WATCH THE ATTACHED GUIDELINE VIDEO AND IMAGE BEFORE YOU START VOTING! Every single view, stream, and coin right now is a weapon to push "SKIN" to the top. Let's take action immediately! 💪✨ - With 🌵🏜FreenBecky's World🏜🌵 FreenBecky_Data数据组 -
4:42

#freenbecky #beckysangels 🔥 [RED ALERT] T-POP CAMPAIGN FOR "SKIN"! 🔥 "Skin" has officially been nominated on T-POP! To push the song to the top of the charts, we can't just vote blindly—we must VOTE STRATEGICALLY! 🎬 DETAILED GUIDELINE VIDEO TIMESTAMPS: 🔸0:00 - 2:27: Tpop 🔸2:27 - 3:12 : Spotify streaming 🔸3:12 - end: Youtube Streaming ⭐️ A special thank you to BLIИK VOTING PΛGE for your invaluable experience and guidance! We truly appreciate it! The T-POP scoring system is divided into 3 main battlefronts: 🎯 FRONT 1:YOUTUBE - 50% OF THE SCORE (MOST CRITICAL) This score is based on the weekly view increase. Please read the YouTube streaming guidelines (3rd pic) and save all 3 playlists: 🔗 Playlist 1: 🔗 Playlist 2: 🔗 Playlist 3: 🎧 FRONT 2: SPOTIFY - 25% OF THE SCORE This score is based on the weekly stream increase. Please read the Spotify streaming guidelines (4th pic) and save these playlists: 🔗Playlist From BECKY OFFICIAL: 🔗Playlist From us: 📱 FRONT 3: T-POP APP - 25% OF THE SCORE Daily voting limits per account: ✅ Max 200 Paid Pop coins/day ✅ Max 10 Free Mission coins/day ✅ 1 Free coin/day 💡 Guideline for fans: DM US for free TPOP acc 🆓 For fans doing Free Daily Tasks: Please complete your daily missions diligently to save up 50 Mission coins/week: ☑️ Check-in for 7 days = +5 🟣 ☑️ Watch 4 Ads for 7 days = +28 🟣 ☑️ Share 1 content for 7 days = +7 🟣 ☑️ Vote 1 song for 7 days = +10 🟣 💰 For fans with limited time but available funds: ✅ BUY THE SPECIAL PACKAGE (1080 votes = ONLY 299 baht vs 1080 baht for normal ). 🔸 Not only is it way cheaper, but this package also gives you x2 mission coins and automatically completes ALL daily tasks for you. You just need to open the app and redeem the coins! 🔸 Watch the 2nd image and the quoted video for special package instructions. EVERYONE MUST WATCH THE ATTACHED GUIDELINE VIDEO AND IMAGE BEFORE YOU START VOTING! Every single view, stream, and coin right now is a weapon to push "SKIN" to the top. Let's take action immediately! 💪✨ - With 🌵🏜FreenBecky's World🏜🌵 FreenBecky_Data数据组 -

FreenBecky_RankingVN🇻🇳

168,571 次观看 • 3 个月前

Today, we once again commend our warriors for their precision—specifically on enemy territory. This is what fundamentally changes the situation—our ability to bring the war back home to Russia. Another arsenal in Russia has been hit, and it was a significant one for the occupiers. I am grateful to all our warriors in the Defense and Security Forces of Ukraine who were involved. The Armed Forces of Ukraine, the Security Service of Ukraine, and everyone else who took part—great job. There’s also commendable work by the Security Service of Ukraine on yet another Russian military depot. This one held Russian tactical missiles and guided bombs—all the tools Russia uses to terrorize our cities and positions. We are achieving this thanks to our capabilities and our weapons—without the means our partners can provide, which could significantly accelerate the end of this war by destroying Russia’s offensive potential. If we could direct all our precision to defend Ukraine—if we had enough missiles and permissions that our partners can provide—the overall situation in this war would be much better for our security, and for the security of everyone in the world who doesn’t want to live in the conditions of such aggressions as this Russian one. We are convincing our partners and will continue these discussions next week—Ukraine needs full long-range capabilities. Not just our own drones and missiles, which currently lack sufficient range, but everything the world can offer to protect against Russian terror.
4:06

Today, we once again commend our warriors for their precision—specifically on enemy territory. This is what fundamentally changes the situation—our ability to bring the war back home to Russia. Another arsenal in Russia has been hit, and it was a significant one for the occupiers. I am grateful to all our warriors in the Defense and Security Forces of Ukraine who were involved. The Armed Forces of Ukraine, the Security Service of Ukraine, and everyone else who took part—great job. There’s also commendable work by the Security Service of Ukraine on yet another Russian military depot. This one held Russian tactical missiles and guided bombs—all the tools Russia uses to terrorize our cities and positions. We are achieving this thanks to our capabilities and our weapons—without the means our partners can provide, which could significantly accelerate the end of this war by destroying Russia’s offensive potential. If we could direct all our precision to defend Ukraine—if we had enough missiles and permissions that our partners can provide—the overall situation in this war would be much better for our security, and for the security of everyone in the world who doesn’t want to live in the conditions of such aggressions as this Russian one. We are convincing our partners and will continue these discussions next week—Ukraine needs full long-range capabilities. Not just our own drones and missiles, which currently lack sufficient range, but everything the world can offer to protect against Russian terror.

Volodymyr Zelenskyy / Володимир Зеленський

376,911 次观看 • 1 年前

The 8 minutes that changed tennis history forever 👇 A masterclass on mental toughness (in less than 2-min) Novak Djokovic vs. Roger Federer. at U.S. Open semifinals. (September 10, 2011). By the way, I often come back to watch this video to get motivated. In the last set of the match, Federer took a 40–15 lead. Victory was just one serve away. The crowd roared for Federer. Djokovic, clearly annoyed, shot a grimace at the fans and mimicked them, which only got him more boos. Federer served hard, out wide to Djokovic’s forehand. But Djokovic smacked the ball with full force for a stunning cross-court winner. Federer was stunned. One shot that broke Federer’s rhythm—and spirit. It was one of the earliest signs of Djokovic's ability to turn crowd hostility into a dark energy that fueled his game. So, what makes Djokovic so formidable? → When everything is on the line, he almost never falters. → The higher the pressure, the more likely he is to win. → He thrives under intense pressure when others crumble. As Holger Rune, world No. 6, put it: "His mindset. Even when you play great points, it feels like it doesn't faze him at all." That’s the winning formula. The mindset. If you liked it, follow me Stefan Smulders for more thoughts about business, mindset, and life.
0:46

The 8 minutes that changed tennis history forever 👇 A masterclass on mental toughness (in less than 2-min) Novak Djokovic vs. Roger Federer. at U.S. Open semifinals. (September 10, 2011). By the way, I often come back to watch this video to get motivated. In the last set of the match, Federer took a 40–15 lead. Victory was just one serve away. The crowd roared for Federer. Djokovic, clearly annoyed, shot a grimace at the fans and mimicked them, which only got him more boos. Federer served hard, out wide to Djokovic’s forehand. But Djokovic smacked the ball with full force for a stunning cross-court winner. Federer was stunned. One shot that broke Federer’s rhythm—and spirit. It was one of the earliest signs of Djokovic's ability to turn crowd hostility into a dark energy that fueled his game. So, what makes Djokovic so formidable? → When everything is on the line, he almost never falters. → The higher the pressure, the more likely he is to win. → He thrives under intense pressure when others crumble. As Holger Rune, world No. 6, put it: "His mindset. Even when you play great points, it feels like it doesn't faze him at all." That’s the winning formula. The mindset. If you liked it, follow me Stefan Smulders for more thoughts about business, mindset, and life.

Stefan Smulders

277,826 次观看 • 1 年前

On the 6th day of recruiting myths: Myth #6: “Colleges don’t recruit from high school programs.” It’s true. I’ve never seen a D1 coach at a high school game. Maybe 1-2 make it out to the big well known pre-season tournaments, but in most states, HS ball is in the middle of their own season. So this myth is mostly true if you’re in the D1 or bust mentality. Almost all of us start with that goal, but there are a million things that have to go just right to make that happen. There are plenty of players with enough talent to play D1 that don’t start there. I know this because I played with some amazing ones. They ended up going the JUCO route for one reason or another, killed it as All-Americans, and are now playing at a higher level. I had local JUCO coaches at our HS games all the time. I actually saw them more often in high school than I did at the club tournaments I played in. Even if you think you’re destined for D1, it’s important not to discount it. What happens if you’re injured your sophomore or junior year, or you developed a little too late for D1 programs who have filled their class? What happens if your freshman grades sunk your GPA? What if the programs that offer you don’t have enough athletic aid to make the finances work for your family? To say all recruiting happens in club is more like saying I’m only interested in one path to my goal. And… if you kill it in high school season and get some recognition it can be enough to catch the attention of D1 programs. I had a good friend that nailed it her junior year. She had not received any offers going into May, but her HS season was incredible. She made zero errors all season! Her bat was 🔥 and she ended up getting selected as the Conference Offensive Player of the Year across the state of Arizona. She posted the award on X and immediately she had a D1 coach follow her. That coach eventually came to watch her play in club and have her out for a visit. The award didn’t get her an offer and neither did the high school play directly, but it built enough credibility to get some interest. And for people outside the “recruiting bubble”, these seemingly little things can be the tipping point. She’s a freshman this year playing D1 softball. So… if you’re thinking High School sports don’t provide recruiting opportunities, you’re thinking too narrowly. The opportunity looks different, but it’s still an opportunity to increase your odds of playing at the next level. #RecruitingRules Rule #2: Build your brand. Create your own luck - High school sports provided one of the best opportunities I had to build my brand. Local media coverage. State tournaments and awards. Those are things that don’t happen often in club. The coaches might not be at the field to watch during their own season, but that doesn’t mean you can’t keep building your brand to improve your opportunities later!
0:52

On the 6th day of recruiting myths: Myth #6: “Colleges don’t recruit from high school programs.” It’s true. I’ve never seen a D1 coach at a high school game. Maybe 1-2 make it out to the big well known pre-season tournaments, but in most states, HS ball is in the middle of their own season. So this myth is mostly true if you’re in the D1 or bust mentality. Almost all of us start with that goal, but there are a million things that have to go just right to make that happen. There are plenty of players with enough talent to play D1 that don’t start there. I know this because I played with some amazing ones. They ended up going the JUCO route for one reason or another, killed it as All-Americans, and are now playing at a higher level. I had local JUCO coaches at our HS games all the time. I actually saw them more often in high school than I did at the club tournaments I played in. Even if you think you’re destined for D1, it’s important not to discount it. What happens if you’re injured your sophomore or junior year, or you developed a little too late for D1 programs who have filled their class? What happens if your freshman grades sunk your GPA? What if the programs that offer you don’t have enough athletic aid to make the finances work for your family? To say all recruiting happens in club is more like saying I’m only interested in one path to my goal. And… if you kill it in high school season and get some recognition it can be enough to catch the attention of D1 programs. I had a good friend that nailed it her junior year. She had not received any offers going into May, but her HS season was incredible. She made zero errors all season! Her bat was 🔥 and she ended up getting selected as the Conference Offensive Player of the Year across the state of Arizona. She posted the award on X and immediately she had a D1 coach follow her. That coach eventually came to watch her play in club and have her out for a visit. The award didn’t get her an offer and neither did the high school play directly, but it built enough credibility to get some interest. And for people outside the “recruiting bubble”, these seemingly little things can be the tipping point. She’s a freshman this year playing D1 softball. So… if you’re thinking High School sports don’t provide recruiting opportunities, you’re thinking too narrowly. The opportunity looks different, but it’s still an opportunity to increase your odds of playing at the next level. #RecruitingRules Rule #2: Build your brand. Create your own luck - High school sports provided one of the best opportunities I had to build my brand. Local media coverage. State tournaments and awards. Those are things that don’t happen often in club. The coaches might not be at the field to watch during their own season, but that doesn’t mean you can’t keep building your brand to improve your opportunities later!

Amelia Streuber 2025 🦫

221,878 次观看 • 8 个月前

Most people think they understand finance. They don't. They know how to send money. Maybe how to trade. But the actual machinery underneath who controls which assets, who gets access to which markets, who decides who can even participate most people never see that part. And that's exactly where the problem starts. Right now, trillions of dollars in real-world value real estate, bonds, private credit, alternative funds are locked inside systems that were never designed to include you. Not unless you have the right passport, the right broker, the right balance in the right bank account. Traditional finance has always had an invisible velvet rope. Most of us just never got close enough to see it. Blockchain was supposed to change that. And it tried. DeFi opened a door. But even DeFi, for all its freedom, couldn't actually touch the real world. Tokens, yes. Speculation, yes. But actual real-world assets handled with proper compliance, proper security, proper legal enforceability that gap never really closed. Until something like Real comes along and asks a very different question. What if you didn't bolt RWA tokenization on top of an existing chain? What if you built the entire Layer 1 around it from the ground up? That's what Real is. The first fully decentralized, fully permissionless L1 blockchain built specifically not partially, not as a feature, but architecturally for the native tokenization of Real-World Assets. What does that mean ? It means things like bonds, real estate, private credit, and commodities can live on-chain with full transparency, full compliance, and full security baked into the protocol itself. Not added later. Not patched in. Native. They call it solving the "RWA Trilemma." Most tokenization projects have to sacrifice one of three things security, decentralization, or regulatory compliance. You either get compliant and centralized, or decentralized and legally fragile. Real built a hybrid validator architecture that doesn't make you choose. Business validators tokenizers, risk scorers, insurers each play a specific role in the asset lifecycle, staking tokens and facing real onchain penalties if they act wrong. The result is a system where real-world assets carry their own risk data, their own compliance metadata, and their own insurance all embedded directly at the protocol level. $29 million raised. A partnership with Wiener Privatbank SE: an actual institution. A partnership with RWA Inc. The $16 trillion RWA opportunity. A target of $500 million in tokenized assets. The numbers matter. But what matters more is the architecture. This feels like someone actually sat down and thought: what would financial infrastructure look like if it was rebuilt for the next hundred years? Finance was always a wall. What Real is building slowly, quietly, but very deliberately might just be a door. And most people still don't see it yet. #UCCC
3:39

Most people think they understand finance. They don't. They know how to send money. Maybe how to trade. But the actual machinery underneath who controls which assets, who gets access to which markets, who decides who can even participate most people never see that part. And that's exactly where the problem starts. Right now, trillions of dollars in real-world value real estate, bonds, private credit, alternative funds are locked inside systems that were never designed to include you. Not unless you have the right passport, the right broker, the right balance in the right bank account. Traditional finance has always had an invisible velvet rope. Most of us just never got close enough to see it. Blockchain was supposed to change that. And it tried. DeFi opened a door. But even DeFi, for all its freedom, couldn't actually touch the real world. Tokens, yes. Speculation, yes. But actual real-world assets handled with proper compliance, proper security, proper legal enforceability that gap never really closed. Until something like Real comes along and asks a very different question. What if you didn't bolt RWA tokenization on top of an existing chain? What if you built the entire Layer 1 around it from the ground up? That's what Real is. The first fully decentralized, fully permissionless L1 blockchain built specifically not partially, not as a feature, but architecturally for the native tokenization of Real-World Assets. What does that mean ? It means things like bonds, real estate, private credit, and commodities can live on-chain with full transparency, full compliance, and full security baked into the protocol itself. Not added later. Not patched in. Native. They call it solving the "RWA Trilemma." Most tokenization projects have to sacrifice one of three things security, decentralization, or regulatory compliance. You either get compliant and centralized, or decentralized and legally fragile. Real built a hybrid validator architecture that doesn't make you choose. Business validators tokenizers, risk scorers, insurers each play a specific role in the asset lifecycle, staking tokens and facing real onchain penalties if they act wrong. The result is a system where real-world assets carry their own risk data, their own compliance metadata, and their own insurance all embedded directly at the protocol level. $29 million raised. A partnership with Wiener Privatbank SE: an actual institution. A partnership with RWA Inc. The $16 trillion RWA opportunity. A target of $500 million in tokenized assets. The numbers matter. But what matters more is the architecture. This feels like someone actually sat down and thought: what would financial infrastructure look like if it was rebuilt for the next hundred years? Finance was always a wall. What Real is building slowly, quietly, but very deliberately might just be a door. And most people still don't see it yet. #UCCC

Meow

11,164 次观看 • 3 个月前

Marc Andreessen explains IBM founder Thomas Watson‘s famous “Wild Ducks” program Marc believes that the organizational complexity is one reason you don’t see innovation at large companies. But that’s not the only reason: “I think there’s another deeper thing underneath that that people really don’t like to talk about, which is the sheer number of people in the world who are capable of doing new things is just a very small set of people. You’re not going to have a hundred of them in a company… You’re going to have 3, 8, or 10, maybe.” Marc learned this early in his career at IBM, which was one of the most powerful companies in the world and had over 440,000 employees at the time. “They had a system that worked really well for 50 years. Most of the employees in the company were expected to basically follow rules… But they had this category of people they called ‘Wild Ducks.’ This was an idea that the founder Thomas Watson came up with. They often had the formal title of an IBM Fellow and they were the people who could make new things.” He continues: “There were eight of them and they got to break all the rules and invent new products. They got to go off and work on something new, they didn’t have to report back, they got to pull people off of other projects to work with them, they got budget when they needed it, and they reported directly to the CEO.” Marc recalls one wild duck, Andy Heller, putting his cowboy boots on the conference room table “amongst an ocean of men in blue suits, white shirts, and red ties.” It was fine for Andy Heller to do that, but it was not fine for you to do that. “They very specifically identified almost like an aristocratic class within our company that gets to play by different rules… Their job is to invent the next breakthrough product. We, IBM management, know that the 6,000 person division is not going to invent the next product. We know it’s going to be crazy Andy Heller and his cowboy boots.” Marc believes companies like IBM and HP ultimately collapsed when venture capital emerged as a parallel funding system for these wild ducks to start their own companies. Video source: Andrew D. Huberman, Ph.D. (2023)
2:49

Marc Andreessen explains IBM founder Thomas Watson‘s famous “Wild Ducks” program Marc believes that the organizational complexity is one reason you don’t see innovation at large companies. But that’s not the only reason: “I think there’s another deeper thing underneath that that people really don’t like to talk about, which is the sheer number of people in the world who are capable of doing new things is just a very small set of people. You’re not going to have a hundred of them in a company… You’re going to have 3, 8, or 10, maybe.” Marc learned this early in his career at IBM, which was one of the most powerful companies in the world and had over 440,000 employees at the time. “They had a system that worked really well for 50 years. Most of the employees in the company were expected to basically follow rules… But they had this category of people they called ‘Wild Ducks.’ This was an idea that the founder Thomas Watson came up with. They often had the formal title of an IBM Fellow and they were the people who could make new things.” He continues: “There were eight of them and they got to break all the rules and invent new products. They got to go off and work on something new, they didn’t have to report back, they got to pull people off of other projects to work with them, they got budget when they needed it, and they reported directly to the CEO.” Marc recalls one wild duck, Andy Heller, putting his cowboy boots on the conference room table “amongst an ocean of men in blue suits, white shirts, and red ties.” It was fine for Andy Heller to do that, but it was not fine for you to do that. “They very specifically identified almost like an aristocratic class within our company that gets to play by different rules… Their job is to invent the next breakthrough product. We, IBM management, know that the 6,000 person division is not going to invent the next product. We know it’s going to be crazy Andy Heller and his cowboy boots.” Marc believes companies like IBM and HP ultimately collapsed when venture capital emerged as a parallel funding system for these wild ducks to start their own companies. Video source: Andrew D. Huberman, Ph.D. (2023)

Startup Archive

358,782 次观看 • 1 年前

Yesterday, I completed the Tata Mumbai Half Marathon, and it was an incredible experience! Initially, after the October Ironman, I had planned to do a full marathon, but due to a busy schedule the last two months and not being able to train as much, I decided to go for the half marathon instead. The race was challenging, especially with the iconic Peddar Road climb, which really tested my stamina due to the elevation. The last 5k was particularly testing, but just when I thought I was slowing down, Coach Pramod Deshpande of JJ appeared out of nowhere and gave me the motivation I needed to finish strong. His timely support made all the difference! I completed the race at 2.16 hrs. Mumbai’s weather added another layer of difficulty. The humidity was intense, making each step feel heavier, but it also reminded me the importance of mental resilience in endurance sports. Pushing through that discomfort is what running – and life – is all about. I’m happy that I’ve improved my PR by 20 minutes compared to Bangalore Marathon. My next target is a sub-2 half marathon, and I’m already excited for the challenge! To the youth out there: physical fitness isn’t just about looking good; it’s about building mental strength, resilience, and discipline. Whether it’s running, cycling, or any other sport, the habits you form today lay the foundation for a stronger tomorrow. Let’s embrace fitness, set ambitious goals, and show ourselves what we’re truly capable of! Keep pushing, and never let any challenge stop you from chasing your dreams. Appreciate Procam International MD Sri Vivek Singh and his team for organising this truly world-class event. Gratitude to Maharashtra CM Devendra Fadnavis Ji and his team for all the support. Thanks to Prime Minister Narendra Modi’s emphasis on the #FitIndia movement more government support is accorded to events and initiatives like this which go long way in preventive healthcare in a young country like India. Congratulations to all the 60,000+ runners who participated yesterday!
1:48

Yesterday, I completed the Tata Mumbai Half Marathon, and it was an incredible experience! Initially, after the October Ironman, I had planned to do a full marathon, but due to a busy schedule the last two months and not being able to train as much, I decided to go for the half marathon instead. The race was challenging, especially with the iconic Peddar Road climb, which really tested my stamina due to the elevation. The last 5k was particularly testing, but just when I thought I was slowing down, Coach Pramod Deshpande of JJ appeared out of nowhere and gave me the motivation I needed to finish strong. His timely support made all the difference! I completed the race at 2.16 hrs. Mumbai’s weather added another layer of difficulty. The humidity was intense, making each step feel heavier, but it also reminded me the importance of mental resilience in endurance sports. Pushing through that discomfort is what running – and life – is all about. I’m happy that I’ve improved my PR by 20 minutes compared to Bangalore Marathon. My next target is a sub-2 half marathon, and I’m already excited for the challenge! To the youth out there: physical fitness isn’t just about looking good; it’s about building mental strength, resilience, and discipline. Whether it’s running, cycling, or any other sport, the habits you form today lay the foundation for a stronger tomorrow. Let’s embrace fitness, set ambitious goals, and show ourselves what we’re truly capable of! Keep pushing, and never let any challenge stop you from chasing your dreams. Appreciate Procam International MD Sri Vivek Singh and his team for organising this truly world-class event. Gratitude to Maharashtra CM Devendra Fadnavis Ji and his team for all the support. Thanks to Prime Minister Narendra Modi’s emphasis on the #FitIndia movement more government support is accorded to events and initiatives like this which go long way in preventive healthcare in a young country like India. Congratulations to all the 60,000+ runners who participated yesterday!

Tejasvi Surya

50,175 次观看 • 1 年前

France Minister of Transportation on Tesla's FSD in new video: "The safety trade-offs are not yet sufficient to authorize it as it currently stands. All the more so since this system is not a self-driving system; So what are our concerns? Without going into overly technical detail, there are several. First example: we've found that the system allows for speeding. Another example: according to the data we have, the system doesn't guarantee an optimal level of driver attention in urban settings and during the most complex maneuvers, such as lane changes, intersections, or roundabouts. So what are the next steps? We're currently continuing our technical discussions with the Netherlands, other European states, and Tesla to refine our analysis. Last week, a representative from the Ministry of Transport's services traveled to the Netherlands. I want to emphasize this: France supports these technologies, and their deployment must happen within a framework of trust that allows us to evaluate the systems and determine what adjustments FSD needs to guarantee a high level of safety. This autumn, I will also be bringing together the French autonomous vehicle ecosystem to present the levers that will accelerate the deployment of this technology and to set a direction for the coming years. In France, we're fortunate to have world-class automakers and automotive suppliers, as well as some of the best engineers in the world in artificial intelligence and digital technology. We have real cards to play, and we're ready to play them — but never at the expense of safety on our roads."
4:57

France Minister of Transportation on Tesla's FSD in new video: "The safety trade-offs are not yet sufficient to authorize it as it currently stands. All the more so since this system is not a self-driving system; So what are our concerns? Without going into overly technical detail, there are several. First example: we've found that the system allows for speeding. Another example: according to the data we have, the system doesn't guarantee an optimal level of driver attention in urban settings and during the most complex maneuvers, such as lane changes, intersections, or roundabouts. So what are the next steps? We're currently continuing our technical discussions with the Netherlands, other European states, and Tesla to refine our analysis. Last week, a representative from the Ministry of Transport's services traveled to the Netherlands. I want to emphasize this: France supports these technologies, and their deployment must happen within a framework of trust that allows us to evaluate the systems and determine what adjustments FSD needs to guarantee a high level of safety. This autumn, I will also be bringing together the French autonomous vehicle ecosystem to present the levers that will accelerate the deployment of this technology and to set a direction for the coming years. In France, we're fortunate to have world-class automakers and automotive suppliers, as well as some of the best engineers in the world in artificial intelligence and digital technology. We have real cards to play, and we're ready to play them — but never at the expense of safety on our roads."

Sawyer Merritt

709,092 次观看 • 1 个月前

‼️I'm giving away a Free VTuber Model File & teaching anyone how to rig Full-Body Models.‼️ ⭐️Download the Model for FREE, on my Ko-fi (link below) Over the past 4 months, my community and I have been testing the best methods to teach artists and beginners how rig within Live2D (Which started as a 6 hour long video series, but I felt it wasn't good enough for learning). Many also mentioned their interest in starting a commission business and their struggles with not knowing where to start. Being a full-time Live2D Artist and Business Degree graduate, I built this class as a way to provide an easy guide for anyone to follow. It covers all the mistakes and learnings of my 4 year journey as an artist, and gives you the methods I used to make a living doing something I love. While the model is free for anyone to use, the Class to learn everything from start to finish is available on my website. ⭐️Level 1 is COMPLETELY FREE, as I want you to try this method of learning, and see if you enjoy the process! 🔗You can preview all the content on my website (link below) Levels 1 - 8 of the Class will cover everything from downloading Live2D, to exporting your model. This update 1.0 will become available on: March 14th, 3PM Eastern. (Levels 9 - 13 for the business behind commissions will be included in update 2.0!) You will also receive a roll within The Protagonist Discord, where I can give you 1 on 1 help with any questions you have regarding your learning! Finally, I'll be hosting Introduction workshops for Beginner Live2D Rigging on March 17th, and 19th! Over a 2 hour period in the Discord, I'll walk 10 individuals through the starting levels of the Class, completely for free. This way I can provide more hands on help for people interested in rigging! (more workshops will be held in the future) I hope that you'll give the Free lessons a try, and see that Live2D Rigging isn't as hard as you think! It truly helped me carve a path for my own future, and escape the 9-5 life that I dreaded so much. I can't wait to see all the new members of the Guild, and I hope we can all become the Main Characters of our own lives! 🔗Links Below: #Live2D #Vtuber #live2dtutorial
1:52

‼️I'm giving away a Free VTuber Model File & teaching anyone how to rig Full-Body Models.‼️ ⭐️Download the Model for FREE, on my Ko-fi (link below) Over the past 4 months, my community and I have been testing the best methods to teach artists and beginners how rig within Live2D (Which started as a 6 hour long video series, but I felt it wasn't good enough for learning). Many also mentioned their interest in starting a commission business and their struggles with not knowing where to start. Being a full-time Live2D Artist and Business Degree graduate, I built this class as a way to provide an easy guide for anyone to follow. It covers all the mistakes and learnings of my 4 year journey as an artist, and gives you the methods I used to make a living doing something I love. While the model is free for anyone to use, the Class to learn everything from start to finish is available on my website. ⭐️Level 1 is COMPLETELY FREE, as I want you to try this method of learning, and see if you enjoy the process! 🔗You can preview all the content on my website (link below) Levels 1 - 8 of the Class will cover everything from downloading Live2D, to exporting your model. This update 1.0 will become available on: March 14th, 3PM Eastern. (Levels 9 - 13 for the business behind commissions will be included in update 2.0!) You will also receive a roll within The Protagonist Discord, where I can give you 1 on 1 help with any questions you have regarding your learning! Finally, I'll be hosting Introduction workshops for Beginner Live2D Rigging on March 17th, and 19th! Over a 2 hour period in the Discord, I'll walk 10 individuals through the starting levels of the Class, completely for free. This way I can provide more hands on help for people interested in rigging! (more workshops will be held in the future) I hope that you'll give the Free lessons a try, and see that Live2D Rigging isn't as hard as you think! It truly helped me carve a path for my own future, and escape the 9-5 life that I dreaded so much. I can't wait to see all the new members of the Guild, and I hope we can all become the Main Characters of our own lives! 🔗Links Below: #Live2D #Vtuber #live2dtutorial

Yoona 主人公 | Commissions Open

12,420 次观看 • 1 年前

The AI boom just hit a wall nobody saw coming. And it's not software. It's not regulation. It's not even energy... It's memory chips. Right now, Dell is raising PC prices by 30%. Intel can't ship chips. Nvidia is slashing GPU production by 40%. And almost nobody understands why. Here's the "hidden" crisis the AI industry is trying to hide: AI data centers are hoarding memory. Not GPUs. Not processors. MEMORY. Every AI server needs massive amounts of high-bandwidth memory (HBM) to run those models everyone's hyping. One problem: There are only 3 companies in the world that can make it. Samsung. SK Hynix. Micron. That's it. And all 3 just diverted their entire production capacity away from normal RAM to feed AI data centers. The math that breaks everything: 1 gigabyte of HBM takes 4X the manufacturing capacity of regular DRAM. AI will consume 20% of global DRAM production in 2026. But the thing is, consumer demand for RAM didn't disappear. PCs still need memory. Phones still need memory. Cars still need memory. But there's no capacity left to make it. The price explosion: RAM prices are up 246% in the last 6 months. DDR5 contract prices jumped 100% month-over-month in some cases. Dell's CFO said he's "never witnessed costs escalating at this pace." SK Hynix and Micron? Sold out through all of 2026. Micron straight up EXITED the consumer memory market entirely to focus on AI customers. If you're not building an AI data center, you're not getting memory chips. AI data centers pay 3-5X margins compared to consumer products. So memory manufacturers are rationally choosing: Serve Microsoft and Google's AI buildout, or serve Dell's laptop business? Easy choice. Every wafer allocated to an Nvidia H100 GPU is a wafer DENIED to your next laptop. It's a zero-sum game. And consumers are losing. The dangerous cascade effect: Nvidia is cutting RTX 50-series GPU production by 30-40% because they can't get GDDR7 memory. Dell, Lenovo, HP are all raising PC prices 15-30% in early 2026. Xiaomi and other smartphone makers are cutting shipment targets. Even Intel's crash last week? Partially driven by memory shortages limiting chip production. This is a PERMANENT reallocation of the world's silicon capacity. Not a temporary supply hiccup. For decades, consumer electronics (phones, PCs, laptops) drove memory production. Now? AI data centers are the priority customer. And that priority shift is reshaping the entire tech economy. The timeline Is worse than you think: Industry analysts project shortages lasting through 2027, maybe 2028. Why? Because building new memory fabs takes 3-5 YEARS. Micron's new Idaho fab won't meaningfully impact supply until 2028. Samsung and SK Hynix are too busy ramping up HBM4 production to expand consumer DRAM. So we're stuck. AI companies need memory to scale. But producing that memory DESTROYS the supply chain for everything else. My question here: Everyone's betting on AI scaling infinitely. But what if the AI boom STALLS because there's not enough memory to support it? What if we're not in an "AI supercycle" but a "memory shortage that kills the AI buildout"? Intel crashed 17% because they can't manufacture enough chips. The root cause though? Memory shortages limiting what they can even produce. Nvidia is cutting GPU production by 40%. AMD is struggling to get GDDR6 for Radeon cards. This isn't just a consumer problem. It's an AI infrastructure problem. And if memory doesn't scale, AI doesn't scale. The AI industry sold you on infinite scaling. But they forgot to mention the part where there's only 3 companies making the memory chips that power everything. And all 3 just chose AI data centers over you. Even Nvidia can't make enough GPUs to meet demand. Not because of energy. Not because of regulation... But because the memory supply chain is BROKEN. And it won't be fixed until 2028.
0:58

The AI boom just hit a wall nobody saw coming. And it's not software. It's not regulation. It's not even energy... It's memory chips. Right now, Dell is raising PC prices by 30%. Intel can't ship chips. Nvidia is slashing GPU production by 40%. And almost nobody understands why. Here's the "hidden" crisis the AI industry is trying to hide: AI data centers are hoarding memory. Not GPUs. Not processors. MEMORY. Every AI server needs massive amounts of high-bandwidth memory (HBM) to run those models everyone's hyping. One problem: There are only 3 companies in the world that can make it. Samsung. SK Hynix. Micron. That's it. And all 3 just diverted their entire production capacity away from normal RAM to feed AI data centers. The math that breaks everything: 1 gigabyte of HBM takes 4X the manufacturing capacity of regular DRAM. AI will consume 20% of global DRAM production in 2026. But the thing is, consumer demand for RAM didn't disappear. PCs still need memory. Phones still need memory. Cars still need memory. But there's no capacity left to make it. The price explosion: RAM prices are up 246% in the last 6 months. DDR5 contract prices jumped 100% month-over-month in some cases. Dell's CFO said he's "never witnessed costs escalating at this pace." SK Hynix and Micron? Sold out through all of 2026. Micron straight up EXITED the consumer memory market entirely to focus on AI customers. If you're not building an AI data center, you're not getting memory chips. AI data centers pay 3-5X margins compared to consumer products. So memory manufacturers are rationally choosing: Serve Microsoft and Google's AI buildout, or serve Dell's laptop business? Easy choice. Every wafer allocated to an Nvidia H100 GPU is a wafer DENIED to your next laptop. It's a zero-sum game. And consumers are losing. The dangerous cascade effect: Nvidia is cutting RTX 50-series GPU production by 30-40% because they can't get GDDR7 memory. Dell, Lenovo, HP are all raising PC prices 15-30% in early 2026. Xiaomi and other smartphone makers are cutting shipment targets. Even Intel's crash last week? Partially driven by memory shortages limiting chip production. This is a PERMANENT reallocation of the world's silicon capacity. Not a temporary supply hiccup. For decades, consumer electronics (phones, PCs, laptops) drove memory production. Now? AI data centers are the priority customer. And that priority shift is reshaping the entire tech economy. The timeline Is worse than you think: Industry analysts project shortages lasting through 2027, maybe 2028. Why? Because building new memory fabs takes 3-5 YEARS. Micron's new Idaho fab won't meaningfully impact supply until 2028. Samsung and SK Hynix are too busy ramping up HBM4 production to expand consumer DRAM. So we're stuck. AI companies need memory to scale. But producing that memory DESTROYS the supply chain for everything else. My question here: Everyone's betting on AI scaling infinitely. But what if the AI boom STALLS because there's not enough memory to support it? What if we're not in an "AI supercycle" but a "memory shortage that kills the AI buildout"? Intel crashed 17% because they can't manufacture enough chips. The root cause though? Memory shortages limiting what they can even produce. Nvidia is cutting GPU production by 40%. AMD is struggling to get GDDR6 for Radeon cards. This isn't just a consumer problem. It's an AI infrastructure problem. And if memory doesn't scale, AI doesn't scale. The AI industry sold you on infinite scaling. But they forgot to mention the part where there's only 3 companies making the memory chips that power everything. And all 3 just chose AI data centers over you. Even Nvidia can't make enough GPUs to meet demand. Not because of energy. Not because of regulation... But because the memory supply chain is BROKEN. And it won't be fixed until 2028.

Ricardo

594,643 次观看 • 7 个月前

The Surveillance State is Being Built All Around You and You're the Frog They're Slowly Boiling. Here's What You Do About It. When asked whether the average person still has a fighter's chance at privacy in an era of Palantir, mass surveillance, and the merger of the tech elite with state power, ODELL calls it like he sees it. "It's bad out there. I'm not gonna pretend it's not bad out there." But Odell also laid out one of the clearest frameworks for how the freedom tech movement actually wins the war for digital sovereignty. The threat landscape has evolved from the days of clumsy government agencies with poor technical execution. Odell describes the current tech-right surveillance apparatus (Palantir, Elon, Zuckerberg, Bezos, Google) as a Neocon 2.0. More savvy and sophisticated with better execution, honed from competing in the free market. And critically, better at frog boiling. If you heat water slowly enough, the frog never jumps. Their playbook is to avoid making dramatic moves that shock people into seeking alternatives. Gradually tighten the grip by giving people just enough perceived freedom, such as an Elon-run X that feels like free speech or a Palantir that frames its domestic surveillance as counterterrorism, so they never feel the urgency to leave. Odell's framework of taking agency over one's privacy is as follows: 1. Radical personal responsibility. Put your oxygen mask on first, aka use and get familiar with the tools yourself. Secure your Bitcoin in cold storage, use Signal and run your own node. Protect your family's financial sovereignty before you try to save anyone else. This is harder than outsourcing your security to institutions, but it's the only foundation that holds. Most people won't do this, but the goal is to get enough people to put their economic power outside the system to make it a counterweight. 2. Make the tools more accessible. The freedom path needs to be cheaper, more convenient, and more intuitive. The cypherpunks of the 90s had the right ideas and the wrong UX. Every time a developer makes a self-custody wallet easier to use, every time a routing improvement makes Lightning payments faster, every time an educator breaks down a complex concept for a new audience, that's a real victory in the adoption war. The technical moat around freedom tech is real, but it's shrinking. The work being done at the protocol and application layer right now will matter enormously when the next crisis hits. 3. Wait for and recognize the pain events. Bitcoin doesn't grow through the comfort of everything going well, but rather through crisis. The early adopters found Bitcoin when PayPal froze their accounts or when their government devalued their savings. Pain converts people faster than persuasion. The single most important piece of tactical advice Odell offered was about humility toward the adversary. The people building the surveillance apparatus are smart, well-resourced, and extraordinarily good at execution. Assuming that freedom tech automatically wins because it's righteous is how you lose. The freedom tech movement wins by building better, distributing faster, and being honest about how hard the fight is. It's a marathon run by people who understand that the alternative to winning is a world where the light of financial sovereignty and digital privacy goes permanently dark.
6:21

The Surveillance State is Being Built All Around You and You're the Frog They're Slowly Boiling. Here's What You Do About It. When asked whether the average person still has a fighter's chance at privacy in an era of Palantir, mass surveillance, and the merger of the tech elite with state power, ODELL calls it like he sees it. "It's bad out there. I'm not gonna pretend it's not bad out there." But Odell also laid out one of the clearest frameworks for how the freedom tech movement actually wins the war for digital sovereignty. The threat landscape has evolved from the days of clumsy government agencies with poor technical execution. Odell describes the current tech-right surveillance apparatus (Palantir, Elon, Zuckerberg, Bezos, Google) as a Neocon 2.0. More savvy and sophisticated with better execution, honed from competing in the free market. And critically, better at frog boiling. If you heat water slowly enough, the frog never jumps. Their playbook is to avoid making dramatic moves that shock people into seeking alternatives. Gradually tighten the grip by giving people just enough perceived freedom, such as an Elon-run X that feels like free speech or a Palantir that frames its domestic surveillance as counterterrorism, so they never feel the urgency to leave. Odell's framework of taking agency over one's privacy is as follows: 1. Radical personal responsibility. Put your oxygen mask on first, aka use and get familiar with the tools yourself. Secure your Bitcoin in cold storage, use Signal and run your own node. Protect your family's financial sovereignty before you try to save anyone else. This is harder than outsourcing your security to institutions, but it's the only foundation that holds. Most people won't do this, but the goal is to get enough people to put their economic power outside the system to make it a counterweight. 2. Make the tools more accessible. The freedom path needs to be cheaper, more convenient, and more intuitive. The cypherpunks of the 90s had the right ideas and the wrong UX. Every time a developer makes a self-custody wallet easier to use, every time a routing improvement makes Lightning payments faster, every time an educator breaks down a complex concept for a new audience, that's a real victory in the adoption war. The technical moat around freedom tech is real, but it's shrinking. The work being done at the protocol and application layer right now will matter enormously when the next crisis hits. 3. Wait for and recognize the pain events. Bitcoin doesn't grow through the comfort of everything going well, but rather through crisis. The early adopters found Bitcoin when PayPal froze their accounts or when their government devalued their savings. Pain converts people faster than persuasion. The single most important piece of tactical advice Odell offered was about humility toward the adversary. The people building the surveillance apparatus are smart, well-resourced, and extraordinarily good at execution. Assuming that freedom tech automatically wins because it's righteous is how you lose. The freedom tech movement wins by building better, distributing faster, and being honest about how hard the fight is. It's a marathon run by people who understand that the alternative to winning is a world where the light of financial sovereignty and digital privacy goes permanently dark.

Bitcoin News

21,677 次观看 • 5 个月前

🚨BOMBSHELL: Lance Twiggs KICKED FROM FAMILY for KNIFE ATTACK on GRANDMA—Not Just 'Mormon Drama'! Evidence SCREAMS LANCE, Not Tyler, Pulled the Trigger on Charlie Kirk! 🗡️ Feds handed us a "lone gunman" story with Tyler Robinson as the bow —Tyler was a 4.0 gpa student, ZERO history of violence. But my bro 🔥Jesse ON FIRE🔥 got some insider info on his roommate/boyfriend Lance who as it turns out has VIOLENT PSYCHO red flags EVERYWHERE. AI facial match? Lance matched 6/6 features when compared to the FBI's released photo's of the alleged shooter. Lance was a way closer match over Tyler Robinson when compared to the suspect pic. Lance was also a rifle pro from going hunting with his grandpa —EASY 300yd shot. Lance had notebooks full of creepy scribbles that MATCH the bullet etchings. His Gaming handle swapped Sept 6 to "Homicidal Maniac 962025"—FOUR DAYS pre-hit! REAL family lance was booted from his family? Lance begged his pediatrician grandpa for transition hormones—Grandpa DENIED. So in response Lance attacked his grandma lunging at her with a knife! (Sources in Utah community CONFIRM—FBI, you miss THIS?) Tyler on the other hand was a clean kid in toxic love, likely framed or coerced to take the fall. It's also CONFIRMED that Lance is in PROTECTIVE CUSTODY— Record's VANISHED. Fed have scraped and removed almost every record of Lance from online as if he doesn't exist. What's going on here...Is this a smoke screen for a deep state/Israel military op? Certainly Still Possible, but Lance's trans radical ties (Sky Valdez's "Charlie Kirk Dead at 31" track + roof sniper art), AI facial recognition, steam/discord logs, history of violence and his shoes all link DIRECTLY back to Lance, not Tyler). All of this is suspicious AF. No world exist where Tyler did this on his own— he clearly is just an accomplice or patsy. Feds, wake up! This unravels your script. Go FOLLOW my bro 🔥Jesse ON FIRE🔥 and also go check out his FULL Video about this where he goes into more detail as well as breaks another HUGE story about Hunter Kozak. I'll drop the link to his video down in the comments. Check it out! Tag Candace Owens and RT to FORCE the TRUTH! Who's digging deeper?
13:43

🚨BOMBSHELL: Lance Twiggs KICKED FROM FAMILY for KNIFE ATTACK on GRANDMA—Not Just 'Mormon Drama'! Evidence SCREAMS LANCE, Not Tyler, Pulled the Trigger on Charlie Kirk! 🗡️ Feds handed us a "lone gunman" story with Tyler Robinson as the bow —Tyler was a 4.0 gpa student, ZERO history of violence. But my bro 🔥Jesse ON FIRE🔥 got some insider info on his roommate/boyfriend Lance who as it turns out has VIOLENT PSYCHO red flags EVERYWHERE. AI facial match? Lance matched 6/6 features when compared to the FBI's released photo's of the alleged shooter. Lance was a way closer match over Tyler Robinson when compared to the suspect pic. Lance was also a rifle pro from going hunting with his grandpa —EASY 300yd shot. Lance had notebooks full of creepy scribbles that MATCH the bullet etchings. His Gaming handle swapped Sept 6 to "Homicidal Maniac 962025"—FOUR DAYS pre-hit! REAL family lance was booted from his family? Lance begged his pediatrician grandpa for transition hormones—Grandpa DENIED. So in response Lance attacked his grandma lunging at her with a knife! (Sources in Utah community CONFIRM—FBI, you miss THIS?) Tyler on the other hand was a clean kid in toxic love, likely framed or coerced to take the fall. It's also CONFIRMED that Lance is in PROTECTIVE CUSTODY— Record's VANISHED. Fed have scraped and removed almost every record of Lance from online as if he doesn't exist. What's going on here...Is this a smoke screen for a deep state/Israel military op? Certainly Still Possible, but Lance's trans radical ties (Sky Valdez's "Charlie Kirk Dead at 31" track + roof sniper art), AI facial recognition, steam/discord logs, history of violence and his shoes all link DIRECTLY back to Lance, not Tyler). All of this is suspicious AF. No world exist where Tyler did this on his own— he clearly is just an accomplice or patsy. Feds, wake up! This unravels your script. Go FOLLOW my bro 🔥Jesse ON FIRE🔥 and also go check out his FULL Video about this where he goes into more detail as well as breaks another HUGE story about Hunter Kozak. I'll drop the link to his video down in the comments. Check it out! Tag Candace Owens and RT to FORCE the TRUTH! Who's digging deeper?

Project Constitution

65,630 次观看 • 9 个月前

The Funeral as Statecraft What Khamenei’s Funeral Reveals About Iran’s Political Imagination By Abdulhameed Al-Ghobain States are rarely understood by listening to their rulers speak from podiums. Official language has its own duties: to reassure allies, confuse adversaries, discipline society, and preserve the appearance of control. The deeper life of a state is found elsewhere — in its arguments, its institutions, its old fears, its strategic habits, and in the rituals through which it turns defeat, victory, and even death into political meaning. Ali Khamenei’s funeral should be read in that light. In politics, a funeral is never only a funeral. It is a stage of continuity, a test of succession, a rehearsal of loyalty, and sometimes a declaration that the system intends to outlive the man who embodied it. Iran is not simply burying a leader. It is showing, once again, its ability to turn mourning into mobilization, grief into legitimacy, and a body into a political message. Many outside observers still misread Iran because they reduce it to what is easiest to see. In Washington, Iran is usually discussed through a familiar triad: the nuclear file, armed proxies, and clerical rule. In Arab capitals, the vocabulary is often narrower still: militias, sectarian expansion, and interference. None of this is false. It is simply not enough. It describes what Iran does, not how Iran thinks. Iran is not merely “a state of mullahs.” That phrase may work on television; it fails as analysis. The Islamic Republic is religious, Persian, revolutionary, bureaucratic, and pragmatic at the same time. It speaks in the language of Shiite political theology while carrying the memory of Persian statehood. It claims revolutionary purity while practicing careful regional patience. It can denounce the West in the morning, negotiate with it in the afternoon, and leave the evening sermon to make the two-sound consistent. This mixture is one of Iran’s political strengths. The Islamic Republic has learned how to turn sect into language, nationalism into structure, and negotiation into a room where time, pressure, and ambiguity can be managed. Time, for Tehran, is not empty duration. It is an asset. Many Arab political systems have not kept up with that rhythm. Too often, strategy begins only when the crisis becomes visible. The event arrives, settles in, builds networks, acquires allies, and only then does the commentary begin. Officials warn that the moment is “critical.” Analysts announce that the region is “volatile.” Television studios rediscover history just after it has entered the room. Iran does not operate with that lateness. It does not look at its Arab neighborhood as a collection of borders and formal sovereignties. It looks for openings: social fractures, sectarian vocabularies, weak institutions, anxious minorities, neglected peripheries, failed states, and elites willing to bargain with their own vulnerability. This is not praise. It is description. To understand Iran is not to admire it. It is to stop being surprised by it. Khamenei’s funeral therefore raises a question larger than succession. The issue is not only who follows him, which faction gains ground, or how the crowd behaves in the public square. Those questions matter, but they do not go far enough. The deeper question is whether the idea that sustained his rule can adjust after him. Can the Islamic Republic reproduce legitimacy without the man who served as its central symbol? Will it harden in the name of continuity, or become more flexible in the name of survival? Iran’s modern history suggests that rigidity and pragmatism are not opposites in Tehran’s political vocabulary. They are often paired instruments. When escalation is useful, Iran escalates in the name of principle. When compromise is useful, it compromises in the name of higher interest. The language can always be revised later. States that survive decades of pressure do not survive because they are pure. They survive because they know when to turn purity into posture and necessity into doctrine. Machiavelli understood that power is not managed by good intentions, but by a cold reading of fear, interest, ambition, and human weakness. Ibn Khaldun, writing from another civilizational world, understood that rule is not built by sermons alone, but by solidarity, coercive capacity, organization, and the ability to bind people into a durable political order. Iran’s ruling system has absorbed both lessons in its own way. It preaches, but it also organizes. It invokes heaven, but it studies the terrain. It speaks of martyrdom, but it counts leverage. This is why Abdolkarim Soroush matters for anyone trying to understand Iran beyond its security architecture. Soroush did not matter because he held power. He mattered because he exposed the point at which every religious state becomes vulnerable: the moment religion is converted into an instrument of rule. His central distinction is simple and dangerous. Religion is one thing; religious knowledge is another. Religion belongs to the realm of the sacred. Religious knowledge, however, is human, historical, fallible, and changeable. It is shaped by language, philosophy, science, politics, and by the limits of those who interpret. This does not attack faith. It attacks the monopoly over faith’s interpretation. For a clerical state, that is not a seminar-room argument. It is a political earthquake moving slowly beneath the floor. If religious knowledge is human, no cleric, institution, or state can claim final ownership of divine meaning. Revelation may remain sacred, but the apparatus speaking in its name loses immunity. The jurist becomes an interpreter, not the owner of truth. The state can no longer turn its preferred interpretation into political destiny without being questioned. That is why Soroush matters in the post-Khamenei moment. His thought shows that Iran’s struggle is not only over succession, sanctions, regional influence, or the nuclear file. It is also over who has the right to define religion politically. The Islamic Republic’s most serious vulnerability may not be a foreign army or a protest movement alone. It may be the slow erosion of the claim that the state’s interpretation of religion is indistinguishable from religion itself. Here Soroush approaches Michel Foucault in effect, if not in method. Power does not always need a prison when it controls the definition of truth. It is enough to decide what counts as religion, patriotism, treason, loyalty, and betrayal, then allow bureaucracy to do the rest. Hannah Arendt’s “banality of evil” was not a theory about monsters alone. It was about ordinary functionaries performing their duties with clean paperwork and a quiet conscience. In an ideological state, coercion often arrives well dressed: a stamped order, a solemn sermon, a classified file, and an archive that never apologizes. Still, Iran should not be mistaken for a frozen theocracy. It is a conflicted society with competing memories and ambitions: clerics, guards, merchants, reformists, nationalists, technocrats, students, exiles, and ordinary citizens who live between exhaustion and pride. Its state is repressive, but its society is not intellectually dead. Its official ideology is rigid, but its political practice is often tactical. Its revolutionary language is old, but its institutions have learned how to survive in a hostile environment. That combination makes Iran difficult to read and dangerous to underestimate. It is neither as invincible as its supporters imagine nor as brittle as its enemies often hope. It makes mistakes. It overreaches. It miscalculates. It provokes resistance. It pays heavy prices. But it learns inside a project. Too many of its rivals learn inside regret. This distinction matters for Western policymakers as much as for Arab governments. Counting missiles is not the same as understanding strategy. Mapping militias is not the same as understanding the political theology and historical imagination that make those militias useful. Tracking negotiations is not the same as understanding why Tehran often treats negotiation less as a conclusion than as a room in which time can be managed. The Arab world, in particular, has paid a high price for reading Iran mainly through the smoke of conflict. When Iran moves in Iraq, it is called interference. In Lebanon, influence. In Yemen, danger. All of this is true, but it is the vocabulary of outcomes. It does not explain the machine. The machine is deeper: Iran knows how to turn an idea into an apparatus, an apparatus into a state, and a state into a network of influence. Many Arab states have too often done the reverse. They turn the state into a speech, the speech into a ceremony, the ceremony into an image, and then ask, years later, where the state went. This is not merely a failure of courage. It is a failure of institutional imagination. A region that treats thinkers as conference decoration, security risks, or quotable ornaments should not be surprised when others produce strategy while it produces commentary. The post-Khamenei moment should therefore be read as a test not only for Iran, but for those who claim to understand it. Iran may speak the language of revenge. It may open channels of negotiation. It may do both in the same week. That would not be contradiction. It would be statecraft. Iranian pragmatism is not the opposite of ideology; it is one of ideology’s instruments. The fist and the smile often belong to the same hand. For Washington, the temptation will be to focus on succession, nuclear leverage, regional escalation, and elite factionalism. These are necessary concerns. They are not enough. The harder task is to understand how Iran’s ruling idea mutates under pressure. For Arab capitals, the challenge is even sharper: to stop reading Iran as a series of shocks and begin reading it as a structure. Khamenei’s funeral should not be read only as a funeral. It should be read as a mirror. Iran is burying a leader while testing the transition of an idea. Its rivals can count the mourners, study the protocol, and debate the optics. Or they can ask the more difficult question: what kind of political imagination allows a state to turn even death into continuity? There are no real surprises in politics for those who read before the shock arrives.
0:22

The Funeral as Statecraft What Khamenei’s Funeral Reveals About Iran’s Political Imagination By Abdulhameed Al-Ghobain States are rarely understood by listening to their rulers speak from podiums. Official language has its own duties: to reassure allies, confuse adversaries, discipline society, and preserve the appearance of control. The deeper life of a state is found elsewhere — in its arguments, its institutions, its old fears, its strategic habits, and in the rituals through which it turns defeat, victory, and even death into political meaning. Ali Khamenei’s funeral should be read in that light. In politics, a funeral is never only a funeral. It is a stage of continuity, a test of succession, a rehearsal of loyalty, and sometimes a declaration that the system intends to outlive the man who embodied it. Iran is not simply burying a leader. It is showing, once again, its ability to turn mourning into mobilization, grief into legitimacy, and a body into a political message. Many outside observers still misread Iran because they reduce it to what is easiest to see. In Washington, Iran is usually discussed through a familiar triad: the nuclear file, armed proxies, and clerical rule. In Arab capitals, the vocabulary is often narrower still: militias, sectarian expansion, and interference. None of this is false. It is simply not enough. It describes what Iran does, not how Iran thinks. Iran is not merely “a state of mullahs.” That phrase may work on television; it fails as analysis. The Islamic Republic is religious, Persian, revolutionary, bureaucratic, and pragmatic at the same time. It speaks in the language of Shiite political theology while carrying the memory of Persian statehood. It claims revolutionary purity while practicing careful regional patience. It can denounce the West in the morning, negotiate with it in the afternoon, and leave the evening sermon to make the two-sound consistent. This mixture is one of Iran’s political strengths. The Islamic Republic has learned how to turn sect into language, nationalism into structure, and negotiation into a room where time, pressure, and ambiguity can be managed. Time, for Tehran, is not empty duration. It is an asset. Many Arab political systems have not kept up with that rhythm. Too often, strategy begins only when the crisis becomes visible. The event arrives, settles in, builds networks, acquires allies, and only then does the commentary begin. Officials warn that the moment is “critical.” Analysts announce that the region is “volatile.” Television studios rediscover history just after it has entered the room. Iran does not operate with that lateness. It does not look at its Arab neighborhood as a collection of borders and formal sovereignties. It looks for openings: social fractures, sectarian vocabularies, weak institutions, anxious minorities, neglected peripheries, failed states, and elites willing to bargain with their own vulnerability. This is not praise. It is description. To understand Iran is not to admire it. It is to stop being surprised by it. Khamenei’s funeral therefore raises a question larger than succession. The issue is not only who follows him, which faction gains ground, or how the crowd behaves in the public square. Those questions matter, but they do not go far enough. The deeper question is whether the idea that sustained his rule can adjust after him. Can the Islamic Republic reproduce legitimacy without the man who served as its central symbol? Will it harden in the name of continuity, or become more flexible in the name of survival? Iran’s modern history suggests that rigidity and pragmatism are not opposites in Tehran’s political vocabulary. They are often paired instruments. When escalation is useful, Iran escalates in the name of principle. When compromise is useful, it compromises in the name of higher interest. The language can always be revised later. States that survive decades of pressure do not survive because they are pure. They survive because they know when to turn purity into posture and necessity into doctrine. Machiavelli understood that power is not managed by good intentions, but by a cold reading of fear, interest, ambition, and human weakness. Ibn Khaldun, writing from another civilizational world, understood that rule is not built by sermons alone, but by solidarity, coercive capacity, organization, and the ability to bind people into a durable political order. Iran’s ruling system has absorbed both lessons in its own way. It preaches, but it also organizes. It invokes heaven, but it studies the terrain. It speaks of martyrdom, but it counts leverage. This is why Abdolkarim Soroush matters for anyone trying to understand Iran beyond its security architecture. Soroush did not matter because he held power. He mattered because he exposed the point at which every religious state becomes vulnerable: the moment religion is converted into an instrument of rule. His central distinction is simple and dangerous. Religion is one thing; religious knowledge is another. Religion belongs to the realm of the sacred. Religious knowledge, however, is human, historical, fallible, and changeable. It is shaped by language, philosophy, science, politics, and by the limits of those who interpret. This does not attack faith. It attacks the monopoly over faith’s interpretation. For a clerical state, that is not a seminar-room argument. It is a political earthquake moving slowly beneath the floor. If religious knowledge is human, no cleric, institution, or state can claim final ownership of divine meaning. Revelation may remain sacred, but the apparatus speaking in its name loses immunity. The jurist becomes an interpreter, not the owner of truth. The state can no longer turn its preferred interpretation into political destiny without being questioned. That is why Soroush matters in the post-Khamenei moment. His thought shows that Iran’s struggle is not only over succession, sanctions, regional influence, or the nuclear file. It is also over who has the right to define religion politically. The Islamic Republic’s most serious vulnerability may not be a foreign army or a protest movement alone. It may be the slow erosion of the claim that the state’s interpretation of religion is indistinguishable from religion itself. Here Soroush approaches Michel Foucault in effect, if not in method. Power does not always need a prison when it controls the definition of truth. It is enough to decide what counts as religion, patriotism, treason, loyalty, and betrayal, then allow bureaucracy to do the rest. Hannah Arendt’s “banality of evil” was not a theory about monsters alone. It was about ordinary functionaries performing their duties with clean paperwork and a quiet conscience. In an ideological state, coercion often arrives well dressed: a stamped order, a solemn sermon, a classified file, and an archive that never apologizes. Still, Iran should not be mistaken for a frozen theocracy. It is a conflicted society with competing memories and ambitions: clerics, guards, merchants, reformists, nationalists, technocrats, students, exiles, and ordinary citizens who live between exhaustion and pride. Its state is repressive, but its society is not intellectually dead. Its official ideology is rigid, but its political practice is often tactical. Its revolutionary language is old, but its institutions have learned how to survive in a hostile environment. That combination makes Iran difficult to read and dangerous to underestimate. It is neither as invincible as its supporters imagine nor as brittle as its enemies often hope. It makes mistakes. It overreaches. It miscalculates. It provokes resistance. It pays heavy prices. But it learns inside a project. Too many of its rivals learn inside regret. This distinction matters for Western policymakers as much as for Arab governments. Counting missiles is not the same as understanding strategy. Mapping militias is not the same as understanding the political theology and historical imagination that make those militias useful. Tracking negotiations is not the same as understanding why Tehran often treats negotiation less as a conclusion than as a room in which time can be managed. The Arab world, in particular, has paid a high price for reading Iran mainly through the smoke of conflict. When Iran moves in Iraq, it is called interference. In Lebanon, influence. In Yemen, danger. All of this is true, but it is the vocabulary of outcomes. It does not explain the machine. The machine is deeper: Iran knows how to turn an idea into an apparatus, an apparatus into a state, and a state into a network of influence. Many Arab states have too often done the reverse. They turn the state into a speech, the speech into a ceremony, the ceremony into an image, and then ask, years later, where the state went. This is not merely a failure of courage. It is a failure of institutional imagination. A region that treats thinkers as conference decoration, security risks, or quotable ornaments should not be surprised when others produce strategy while it produces commentary. The post-Khamenei moment should therefore be read as a test not only for Iran, but for those who claim to understand it. Iran may speak the language of revenge. It may open channels of negotiation. It may do both in the same week. That would not be contradiction. It would be statecraft. Iranian pragmatism is not the opposite of ideology; it is one of ideology’s instruments. The fist and the smile often belong to the same hand. For Washington, the temptation will be to focus on succession, nuclear leverage, regional escalation, and elite factionalism. These are necessary concerns. They are not enough. The harder task is to understand how Iran’s ruling idea mutates under pressure. For Arab capitals, the challenge is even sharper: to stop reading Iran as a series of shocks and begin reading it as a structure. Khamenei’s funeral should not be read only as a funeral. It should be read as a mirror. Iran is burying a leader while testing the transition of an idea. Its rivals can count the mourners, study the protocol, and debate the optics. Or they can ask the more difficult question: what kind of political imagination allows a state to turn even death into continuity? There are no real surprises in politics for those who read before the shock arrives.

عبدالحميد الغبين

22,355 次观看 • 1 个月前

🤖🔬 Can AI actually do science end-to-end? 🧠📈 And how would we know when it matches, or surpasses, humans? ⚡🧪 AI is rapidly automating scientific discovery, but benchmarking full-cycle discovery, from 💡 ideation → 🧑‍💻 execution → 📊 conclusions, remains unsolved: 🧐🧐🧐 ❌🛠️ Open-ended discovery → manual validation (costly, unscalable) ❌📏 Metric-driven benchmarks (e.g., MLE-Bench) → convenient but narrow (is higher accuracy really enough?) ❌🤖⚖️ LLM-as-judge → useful, but fundamentally risky if used alone 🔥🚀 Introducing FIRE-Bench🔥: Fullcycle Insight Rediscovery Evaluation 👉🌐 📚✨ A benchmark that turns fresh, human-verified insights from recent 🏆 NeurIPS / ICLR / ICML papers into masked, end-to-end discovery challenges 🧩 🌍🔐 Constrained open-ended discovery–backed by ground truth. 📌 Key takeaways: 1⃣ 📖🧱 Reference-based evaluation still matters: constrained LLM judging helps, but human-grounded references remain essential until agents can consistently match human conclusions 2⃣ 🏆🧠 Expert-validated ground truth: all tasks come from recent NeurIPS / ICLR / ICML papers, with contamination carefully controlled 3⃣ 🔁🎭 Rediscovery, not reproduction: original 🧪 methods, 📊 experiments, 💻 implementations, and 📈 analyses are fully masked to create real discovery challenges 🔑 Key empirical findings: 💡 The "Science Gap" is Real: Even the best setup (Claude Code + Sonnet-4) caps out at an F1 score of 46.7. On hard tasks, agents struggle to break 30 💡 Success is a "Lottery": Performance has incredibly high variance. Reliability is a major unsolved issue. 💡 Coding is no longer the bottleneck; high-level reasoning and analysis are: ~74% of errors stem from flawed planning, not coding ⚙️ How it works: 🔹 Research-Problem Trees: We parse papers into trees (from broad roots to concrete leaves). This allows us to select intermediate nodes that perfectly balance open-ended exploration with verifiable ground truth. 🔹 Claim-Level Evaluation: We match AI conclusions against human conclusions using granular claim decomposition (F1 score). 🔹 Creativity Check: We score false positives to see if agents are finding novel truths (Spoiler🚨: they aren’t creative yet). 🔹 New Diagnostic Taxonomy: failures traced across four stages: 🧠 Planning → 🛠️ Implementation → ▶️ Execution → 🧾 Conclusion 🔹 Additional Analyses: cost efficiency, contamination checks, and more. 👀 The Future: 🚀 Live-FIRE-Bench: a live, continuously updated FIRE-Bench to track real-time progress on the latest research (Newest LLMs should be benchmarked with the newest research) 🚀 Stronger scaffolding (search + planning + coding) 🧠🧰 and converting FIRE-Bench into interactive environments for training research agents 🚀 Toward real creativity: We want better systems that can produce genuinely novel conclusions toward creativity 🎨⏳ 🚀 Better systems 🧠✨ and better benchmarks 📏 must co-evolve 🔄 over time 📜🎥 Paper, video, demo, and research trees: 👉🌐 #AI 🤖 #MachineLearning 📚 #AI4Science 🔬 #LLMs 🧠 #Research 🧪 #AgenticAI 🚀 #FireBench 🔥
0:42

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

Zhen Wang

13,450 次观看 • 7 个月前

I made this product launch video over the weekend with just prompts It's all vibe coded There's something you should know, though: Like everyone else, a few days ago my timeline started getting full of videos like this when Remotion launched their Claude skill, so I decided to give it a go I was captivated by all the examples, so I started like everyone was saying: "just write a prompt" I typed the prompt, and it created an extremely bland, untasteful, stock-looking video 10 prompts in and it was not getting better. It was very, very bland. But at least it was something, so I kept going at it I ended up spending my entire weekend on this, 2-3 days of work. Only to realize my original reference videos that inspired me to get started were all fake Everyone was outright lying about their results. They all claimed "I made this with just one prompt", but it was just bait, they didn't really use Remotion or code at all, it was just a normal, human-made motion video Then you expand the X post and read the replies and they're all like "haha joke" in the comments, but their main post already got 1.5 million views and bamboozled everyone who didn't read further And this is a problem: when a viral trend happens, these posts flood your timeline, and you only realize that they're all noise and bait (and that they haven't even used the tools they claim) when you click through the post and read its comments. But 90% of people (like me, initially) just see the post on their timeline while scrolling, and assume it's all real. You don't go in to check every single post you see: you just like it, or save it for later, and carry on with your day, thinking what you saw was the real thing, and that it's all outstanding results, and that motion designers are really done And it's so anxiety inducing, because everyone is hyping their results, but most of it is just not true. I have stopped reading X lately because going in makes me so anxious, everyone is claiming extraordinary outlier results just for the views and clicks, and you feel like you're lagging behind and you're not good enough because you don't get those results So for this video I decided to actually take the tech out for a spin, and see what results I could really get out of it I used Remotion and Claude Code 4.5, but contrary to what everyone was claiming, this video was not "just a prompt". It was fully vibe coded, but it required much more than a prompt. It was multiple days worth of work Here's what I learned: - Making vibe coded videos with Remotion is ~10-20x slower than building app code. I've been wasting my Claude limits on this video - Everything takes a lot of manual work and reprompting. You often need to go frame by frame correcting tiny things - It makes very silly mistakes - Even Opus 4.5 has very very limited knowledge of spatial / visual things. It doesn't understand well z-indexes, layers, compositions, proportions, temporal coherence, etc. Claude Code feels extremely dumb when creating code for Remotion videos, which surprised me a lot, beacuse I had been mind blown by how incredibly well it worked with my Ruby on Rails SaaS codebases - You need to have some design knowledge to adjust things manually, you need to ask for exactly what you want, in the technical jargon it expects. You can't just say "make this more beautiful" or "animate this better" because it just creates slop - Right now vibe coded videos are promising, but I think I could have done this video faster just by doing it manually in After Effects. It really took that much work - If you have a creative idea for something you want to animate, it takes multiple hours of back and forth prompting to create just one or two seconds worth of **good** animation - Tip: PARAMETERIZE everything! It tends to hardcode magic numbers everywhere in the code, so if you change something earlier in the video timeline, everything else breaks. You want to essentially be creating "key frames" with code by telling it to parameterize every frame where something important happens, and calculate the rest of the keyframes based off that. This comes in handy when you need, for example, to adjust keyframes to match the music So in summary: vibe coded videos are promising, but right now it only works for very stock-looking videos unless you put in a ton of effort Maybe actually useful for 1-2 second web animations though, I'll try that next It will obviously get better, this feels like the quality of code generation in 2023-2024, you need to hold its hand and correct it at every step along the way. But even if video code generation was better, you would still need someone with motion design knowledge to at least set the creative direction, lay out the overall script and composition, etc. It's not completely hands-off unless you want slop And a word on caution: especially here on X, there's 90% hype and 10% reality, nothing is what it seems. Do not believe what you see online, people are constantly baiting and then just laughing it off in the comments
0:28

I made this product launch video over the weekend with just prompts It's all vibe coded There's something you should know, though: Like everyone else, a few days ago my timeline started getting full of videos like this when Remotion launched their Claude skill, so I decided to give it a go I was captivated by all the examples, so I started like everyone was saying: "just write a prompt" I typed the prompt, and it created an extremely bland, untasteful, stock-looking video 10 prompts in and it was not getting better. It was very, very bland. But at least it was something, so I kept going at it I ended up spending my entire weekend on this, 2-3 days of work. Only to realize my original reference videos that inspired me to get started were all fake Everyone was outright lying about their results. They all claimed "I made this with just one prompt", but it was just bait, they didn't really use Remotion or code at all, it was just a normal, human-made motion video Then you expand the X post and read the replies and they're all like "haha joke" in the comments, but their main post already got 1.5 million views and bamboozled everyone who didn't read further And this is a problem: when a viral trend happens, these posts flood your timeline, and you only realize that they're all noise and bait (and that they haven't even used the tools they claim) when you click through the post and read its comments. But 90% of people (like me, initially) just see the post on their timeline while scrolling, and assume it's all real. You don't go in to check every single post you see: you just like it, or save it for later, and carry on with your day, thinking what you saw was the real thing, and that it's all outstanding results, and that motion designers are really done And it's so anxiety inducing, because everyone is hyping their results, but most of it is just not true. I have stopped reading X lately because going in makes me so anxious, everyone is claiming extraordinary outlier results just for the views and clicks, and you feel like you're lagging behind and you're not good enough because you don't get those results So for this video I decided to actually take the tech out for a spin, and see what results I could really get out of it I used Remotion and Claude Code 4.5, but contrary to what everyone was claiming, this video was not "just a prompt". It was fully vibe coded, but it required much more than a prompt. It was multiple days worth of work Here's what I learned: - Making vibe coded videos with Remotion is ~10-20x slower than building app code. I've been wasting my Claude limits on this video - Everything takes a lot of manual work and reprompting. You often need to go frame by frame correcting tiny things - It makes very silly mistakes - Even Opus 4.5 has very very limited knowledge of spatial / visual things. It doesn't understand well z-indexes, layers, compositions, proportions, temporal coherence, etc. Claude Code feels extremely dumb when creating code for Remotion videos, which surprised me a lot, beacuse I had been mind blown by how incredibly well it worked with my Ruby on Rails SaaS codebases - You need to have some design knowledge to adjust things manually, you need to ask for exactly what you want, in the technical jargon it expects. You can't just say "make this more beautiful" or "animate this better" because it just creates slop - Right now vibe coded videos are promising, but I think I could have done this video faster just by doing it manually in After Effects. It really took that much work - If you have a creative idea for something you want to animate, it takes multiple hours of back and forth prompting to create just one or two seconds worth of **good** animation - Tip: PARAMETERIZE everything! It tends to hardcode magic numbers everywhere in the code, so if you change something earlier in the video timeline, everything else breaks. You want to essentially be creating "key frames" with code by telling it to parameterize every frame where something important happens, and calculate the rest of the keyframes based off that. This comes in handy when you need, for example, to adjust keyframes to match the music So in summary: vibe coded videos are promising, but right now it only works for very stock-looking videos unless you put in a ton of effort Maybe actually useful for 1-2 second web animations though, I'll try that next It will obviously get better, this feels like the quality of code generation in 2023-2024, you need to hold its hand and correct it at every step along the way. But even if video code generation was better, you would still need someone with motion design knowledge to at least set the creative direction, lay out the overall script and composition, etc. It's not completely hands-off unless you want slop And a word on caution: especially here on X, there's 90% hype and 10% reality, nothing is what it seems. Do not believe what you see online, people are constantly baiting and then just laughing it off in the comments

Javi

313,364 次观看 • 7 个月前

Scientific discovery is reaching the limits of human capacity: too much data, too many disconnected fields, and too few ways to connect ideas fast enough to matter. The next breakthroughs in materials, medicine, energy, and beyond will not come from scaling today’s AI paradigm alone or from relying on serendipity alone. They will require a new kind of AI for knowledge discovery that not only models the world but shapes what it could become. At Unreasonable Labs, we are building superintelligence for knowledge discovery: systems that reason across disciplines, generate novel hypotheses, test them through simulation and experimentation, and help guide real-world discovery. Our AI engine is not confined to what it has seen in training. It creates new data, builds new tools, and maintains a persistent world model that grows more powerful as it reasons. Why now? Even today's most powerful AI models face a core limitation: they are trained on what we already know. True discovery begins when a system encounters something its current model cannot explain. This is why you cannot train your way to a discovery - a system has to reason through new problems, update its beliefs, and revise its understanding of the world as it thinks. Another critical insight is that rich knowledge already exists, but is not yet applied to solve pressing problems. It sits in millions of papers, patents, and datasets, trapped in isolated silos, often in legacy data vaults. What's missing is a way to connect it, scale it, unlock the potential, and synthesize genuine novel predictions. The time is now to build a system that enables practitioners to design, explore, and direct discovery, whether through human guidance or full automation, while capturing the tacit insight that domain experts bring. Steerable reasoning That is why we built an operating system for scientific discovery - one that replaces chance with steerable reasoning. Rather than retrieving static facts, our AI builds and continuously updates a living world model - a representation of knowledge the system can actively reason over, question, and revise. A concrete example: say you want to create "smart concrete" that can flex - a concept that doesn't exist yet. Our AI maps relationships across domains, finds a path from morphable smart materials to concrete, and identifies the most efficient way to bridge those concepts. It then autonomously writes simulations, tests the hypothesis, and refines the idea. Then it interacts with hardware to produce a physical artifact, and the loop expands into the real-world, where the machine becomes world-shaping. Our AI gives users full visibility into how the system arrived at a conclusion. It delineates which existing patents and papers it drew upon versus what is genuinely new - protecting IP and competitive concerns from the start, and offering deep compositional insights into technology advances. It takes unreasonable people to make progress Our team reflects the interdisciplinary expertise required to build this next breakthrough - my co-founder Yuan Cao Yuan Cao (formerly DeepMind) and Andrew Lew, Haiqian Yang, Matt Insler, Jennifer Kang and Julia McLaughlin. We are backed by $13.5M in seed funding led by Playground Global with participation from AIX, E14 Fund, and MS&AD. We are guided by advisors including Robert Langer (1,000+ patents), Kostya Novoselov (Nobel Prize in Physics), and Thomas Wolf (Co-founder of Hugging Face). We already have multiple pilot programs underway with leading industrial partners in materials science and engineering, with additional engagements developing across energy, logistics, bioengineering, and other strategic domains. The biggest challenges of our time - fusion energy, sustainable materials, new medicines - demand exponentially more innovation than humans alone can produce. We are not replacing scientists, and instead are making every scientist capable of leading their own team of AI-powered researchers. Abundant innovation leads to abundant prosperity. Watch our launch video below to see what we're building Unreasonable Labs 👇
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Scientific discovery is reaching the limits of human capacity: too much data, too many disconnected fields, and too few ways to connect ideas fast enough to matter. The next breakthroughs in materials, medicine, energy, and beyond will not come from scaling today’s AI paradigm alone or from relying on serendipity alone. They will require a new kind of AI for knowledge discovery that not only models the world but shapes what it could become. At Unreasonable Labs, we are building superintelligence for knowledge discovery: systems that reason across disciplines, generate novel hypotheses, test them through simulation and experimentation, and help guide real-world discovery. Our AI engine is not confined to what it has seen in training. It creates new data, builds new tools, and maintains a persistent world model that grows more powerful as it reasons. Why now? Even today's most powerful AI models face a core limitation: they are trained on what we already know. True discovery begins when a system encounters something its current model cannot explain. This is why you cannot train your way to a discovery - a system has to reason through new problems, update its beliefs, and revise its understanding of the world as it thinks. Another critical insight is that rich knowledge already exists, but is not yet applied to solve pressing problems. It sits in millions of papers, patents, and datasets, trapped in isolated silos, often in legacy data vaults. What's missing is a way to connect it, scale it, unlock the potential, and synthesize genuine novel predictions. The time is now to build a system that enables practitioners to design, explore, and direct discovery, whether through human guidance or full automation, while capturing the tacit insight that domain experts bring. Steerable reasoning That is why we built an operating system for scientific discovery - one that replaces chance with steerable reasoning. Rather than retrieving static facts, our AI builds and continuously updates a living world model - a representation of knowledge the system can actively reason over, question, and revise. A concrete example: say you want to create "smart concrete" that can flex - a concept that doesn't exist yet. Our AI maps relationships across domains, finds a path from morphable smart materials to concrete, and identifies the most efficient way to bridge those concepts. It then autonomously writes simulations, tests the hypothesis, and refines the idea. Then it interacts with hardware to produce a physical artifact, and the loop expands into the real-world, where the machine becomes world-shaping. Our AI gives users full visibility into how the system arrived at a conclusion. It delineates which existing patents and papers it drew upon versus what is genuinely new - protecting IP and competitive concerns from the start, and offering deep compositional insights into technology advances. It takes unreasonable people to make progress Our team reflects the interdisciplinary expertise required to build this next breakthrough - my co-founder Yuan Cao Yuan Cao (formerly DeepMind) and Andrew Lew, Haiqian Yang, Matt Insler, Jennifer Kang and Julia McLaughlin. We are backed by $13.5M in seed funding led by Playground Global with participation from AIX, E14 Fund, and MS&AD. We are guided by advisors including Robert Langer (1,000+ patents), Kostya Novoselov (Nobel Prize in Physics), and Thomas Wolf (Co-founder of Hugging Face). We already have multiple pilot programs underway with leading industrial partners in materials science and engineering, with additional engagements developing across energy, logistics, bioengineering, and other strategic domains. The biggest challenges of our time - fusion energy, sustainable materials, new medicines - demand exponentially more innovation than humans alone can produce. We are not replacing scientists, and instead are making every scientist capable of leading their own team of AI-powered researchers. Abundant innovation leads to abundant prosperity. Watch our launch video below to see what we're building Unreasonable Labs 👇

Markus J. Buehler

55,136 次观看 • 5 个月前