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Two Duo Pull Variants. Same concept; different puller based on front: Odd Front- BST pulls to handle play side edge; QB handles backside edge. Even Front- BSG pulls to handle play side edge; QB handles backside edge.

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Mike Kuchar

12,578 subscribers

16,396 次观看 • 17 天前 •via X (Twitter)

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"...take a look at that sharp edge on the side of the new mclaren front wing...that's why nobody wants to get too close to that mclaren..if they start wheel banging, if max verstappen or anybody gets too close to that, THAT IS PUNCTURE CITY.." - Will Buxton 🔮‼️ #F1 #AustrianGP
0:11

"...take a look at that sharp edge on the side of the new mclaren front wing...that's why nobody wants to get too close to that mclaren..if they start wheel banging, if max verstappen or anybody gets too close to that, THAT IS PUNCTURE CITY.." - Will Buxton 🔮‼️ #F1 #AustrianGP

sim 🇧🇷🇲🇽🇸🇳🇫🇷🇭🇹

1,399,603 次观看 • 2 年前

Sunderland vs Liverpool predicted lineup. Not starting two true wingers here wouldn’t make sense to me. Both can play either side but I feel Angulo is more comfortable on the right than Talbi is. However, it’s 6 and 2 3’s. I really like our midfield dynamic with this 3. The rotations are fantastic. We must start front footed and capitalise on what could be a depleted Liverpool team after the Man City game. Thoughts? 🎨 Cam #SAFC
0:11

Sunderland vs Liverpool predicted lineup. Not starting two true wingers here wouldn’t make sense to me. Both can play either side but I feel Angulo is more comfortable on the right than Talbi is. However, it’s 6 and 2 3’s. I really like our midfield dynamic with this 3. The rotations are fantastic. We must start front footed and capitalise on what could be a depleted Liverpool team after the Man City game. Thoughts? 🎨 Cam #SAFC

UnderTheLight

32,359 次观看 • 5 个月前

This Polymarket trader has made $1.3M in the past 2-3 Months and he didn’t do it by predicting the news. He waits for pricing mistakes… When odds drift out of balance, the bot buys Yes and No in the same market at the same time. Here’s an example of a bet/prediction: “Will BTC be above $70k on Friday?” There are only two contracts: •Yes •No Now here’s where the opportunity shows up. Because of emotion, size, or thin liquidity, prices can drift. Let’s say: •Yes = $0.46 •No = $0.50 To own both, you pay $0.96 total. But at settlement, you are guaranteed that one side becomes $1. So you paid $0.96 for something that must return $1.00. 👉 That $0.04 difference is the built-in edge. No matter what happens to BTC. Up, down, nukes, moon mission — doesn’t matter. You’re trading the mispricing, not the outcome. So if both sides together cost less than $1, the difference becomes a built-in edge. Scale the size, repeat the process, and the numbers compound. Checkout his profile:
0:13

This Polymarket trader has made $1.3M in the past 2-3 Months and he didn’t do it by predicting the news. He waits for pricing mistakes… When odds drift out of balance, the bot buys Yes and No in the same market at the same time. Here’s an example of a bet/prediction: “Will BTC be above $70k on Friday?” There are only two contracts: •Yes •No Now here’s where the opportunity shows up. Because of emotion, size, or thin liquidity, prices can drift. Let’s say: •Yes = $0.46 •No = $0.50 To own both, you pay $0.96 total. But at settlement, you are guaranteed that one side becomes $1. So you paid $0.96 for something that must return $1.00. 👉 That $0.04 difference is the built-in edge. No matter what happens to BTC. Up, down, nukes, moon mission — doesn’t matter. You’re trading the mispricing, not the outcome. So if both sides together cost less than $1, the difference becomes a built-in edge. Scale the size, repeat the process, and the numbers compound. Checkout his profile:

RENZO ⚡️

63,675 次观看 • 5 个月前

CT always asks where the edge is. It’s not charts. It’s not indicators. It’s not copy trading. It’s being early. Same way people made fortunes grabbing $ASTEROID early. Same way we positioned on $SI before it moved. Now we’re here, live, hearing the next narrative get named: Superior Intelligence. No media coverage yet. No clips yet (besides this one, badly recorded by me ). Pure insidoor play , approx 200 people were in mar a lago attending Trumps speaking about building not an Artificial Intelligence empire, but a SUPERIOR INTELLIGENCE one. No noise. Just one spark. (A public Trump’s interview, an Elon Musk comment, an Sam Altman quote, a Mark Zuckerberg mention… and it flies.) And that’s all it takes for Superior Intelligence to moon. I already see , NVIDIA , Meta , Claude , Grok posting about SUPERIOR INTELLIGENCE One narrative → one ignition → full explosion. If you wait for confirmation, you lose your hedge ! Front run the next 100 M narrative potential on eth 0x91139d452c144486D49B388509e459AB8748d07B
0:48

CT always asks where the edge is. It’s not charts. It’s not indicators. It’s not copy trading. It’s being early. Same way people made fortunes grabbing $ASTEROID early. Same way we positioned on $SI before it moved. Now we’re here, live, hearing the next narrative get named: Superior Intelligence. No media coverage yet. No clips yet (besides this one, badly recorded by me ). Pure insidoor play , approx 200 people were in mar a lago attending Trumps speaking about building not an Artificial Intelligence empire, but a SUPERIOR INTELLIGENCE one. No noise. Just one spark. (A public Trump’s interview, an Elon Musk comment, an Sam Altman quote, a Mark Zuckerberg mention… and it flies.) And that’s all it takes for Superior Intelligence to moon. I already see , NVIDIA , Meta , Claude , Grok posting about SUPERIOR INTELLIGENCE One narrative → one ignition → full explosion. If you wait for confirmation, you lose your hedge ! Front run the next 100 M narrative potential on eth 0x91139d452c144486D49B388509e459AB8748d07B

OhMyJack

14,237 次观看 • 3 个月前

This trader gave Claude $44 and one question. Not “what should I build.” Not “how do bots work.” He asked: what’s the easiest way to consistently extract money from short-term mispricing. No lecture. No disclaimer. No theory. It said: find small windows where the market is off by a few percent. Quietly. Repeatedly. At scale. Then it dropped a wallet. stargate5 $165,618 profit 16,279 trades Joined November 2025 He almost skipped it. Then he opened the activity. No predictions. No narratives. Just micro trades on 5–15 minute windows. Over and over and over. Tiny edges. Constant flow. The entire strategy: scan for mispricing above ~6% enter instantly redeem at $1 repeat. He asked Claude how this keeps working. It said: you don’t need big wins. You need a small edge executed thousands of times at near-even conditions. Volume handles the rest. He asked: what kind of capital this started with. Claude: based on sizing — probably under $1,000. Compounding did the rest. He went through the trades manually. Same pattern every time: short window mispriced odds fast execution instant settlement No randomness. No luck. The same edge, repeated 16,279 times until it turned into $165K. He asked Claude one last thing. What do you call this strategy? It said: capturing the gap between panic pricing and actual probability on repeat. At scale, that gap becomes income. Still running. You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: 1. Comment the word 'Trade' 2. Like and Retweet this post 3. Follow me Marry Evan (so i can DM you)
0:13

This trader gave Claude $44 and one question. Not “what should I build.” Not “how do bots work.” He asked: what’s the easiest way to consistently extract money from short-term mispricing. No lecture. No disclaimer. No theory. It said: find small windows where the market is off by a few percent. Quietly. Repeatedly. At scale. Then it dropped a wallet. stargate5 $165,618 profit 16,279 trades Joined November 2025 He almost skipped it. Then he opened the activity. No predictions. No narratives. Just micro trades on 5–15 minute windows. Over and over and over. Tiny edges. Constant flow. The entire strategy: scan for mispricing above ~6% enter instantly redeem at $1 repeat. He asked Claude how this keeps working. It said: you don’t need big wins. You need a small edge executed thousands of times at near-even conditions. Volume handles the rest. He asked: what kind of capital this started with. Claude: based on sizing — probably under $1,000. Compounding did the rest. He went through the trades manually. Same pattern every time: short window mispriced odds fast execution instant settlement No randomness. No luck. The same edge, repeated 16,279 times until it turned into $165K. He asked Claude one last thing. What do you call this strategy? It said: capturing the gap between panic pricing and actual probability on repeat. At scale, that gap becomes income. Still running. You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: 1. Comment the word 'Trade' 2. Like and Retweet this post 3. Follow me Marry Evan (so i can DM you)

Marry Evan

69,315 次观看 • 4 个月前

This trader gave Claude $44 and one question. Not “what should I build.” Not “how do bots work.” He asked: what’s the easiest way to consistently extract money from short-term mispricing. No lecture. No disclaimer. No theory. It said: find small windows where the market is off by a few percent. Quietly. Repeatedly. At scale. Then it dropped a wallet. stargate5 $165,618 profit 16,279 trades Joined November 2025 He almost skipped it. Then he opened the activity. No predictions. No narratives. Just micro trades on 5–15 minute windows. Over and over and over. Tiny edges. Constant flow. The entire strategy: scan for mispricing above ~6% enter instantly redeem at $1 repeat. He asked Claude how this keeps working. It said: you don’t need big wins. You need a small edge executed thousands of times at near-even conditions. Volume handles the rest. He asked: what kind of capital this started with. Claude: based on sizing — probably under $1,000. Compounding did the rest. He went through the trades manually. Same pattern every time: short window mispriced odds fast execution instant settlement No randomness. No luck. The same edge, repeated 16,279 times until it turned into $165K. He asked Claude one last thing. What do you call this strategy? It said: capturing the gap between panic pricing and actual probability on repeat. At scale, that gap becomes income. Still running. You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: Just: 1. Comment the word ‘CLAUDE’ 2. Like and Retweet this post 3. Follow me Marry Evan (so that I can message you)
0:13

This trader gave Claude $44 and one question. Not “what should I build.” Not “how do bots work.” He asked: what’s the easiest way to consistently extract money from short-term mispricing. No lecture. No disclaimer. No theory. It said: find small windows where the market is off by a few percent. Quietly. Repeatedly. At scale. Then it dropped a wallet. stargate5 $165,618 profit 16,279 trades Joined November 2025 He almost skipped it. Then he opened the activity. No predictions. No narratives. Just micro trades on 5–15 minute windows. Over and over and over. Tiny edges. Constant flow. The entire strategy: scan for mispricing above ~6% enter instantly redeem at $1 repeat. He asked Claude how this keeps working. It said: you don’t need big wins. You need a small edge executed thousands of times at near-even conditions. Volume handles the rest. He asked: what kind of capital this started with. Claude: based on sizing — probably under $1,000. Compounding did the rest. He went through the trades manually. Same pattern every time: short window mispriced odds fast execution instant settlement No randomness. No luck. The same edge, repeated 16,279 times until it turned into $165K. He asked Claude one last thing. What do you call this strategy? It said: capturing the gap between panic pricing and actual probability on repeat. At scale, that gap becomes income. Still running. You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: Just: 1. Comment the word ‘CLAUDE’ 2. Like and Retweet this post 3. Follow me Marry Evan (so that I can message you)

Marry Evan

62,828 次观看 • 3 个月前

This trader gave Claude $44 and one question. Not “what should I build.” Not “how do bots work.” He asked: what’s the easiest way to consistently extract money from short-term mispricing. No lecture. No disclaimer. No theory. It said: find small windows where the market is off by a few percent. Quietly. Repeatedly. At scale. Then it dropped a wallet. stargate5 $165,618 profit 16,279 trades Joined November 2025 He almost skipped it. Then he opened the activity. No predictions. No narratives. Just micro trades on 5–15 minute windows. Over and over and over. Tiny edges. Constant flow. The entire strategy: scan for mispricing above ~6% enter instantly redeem at $1 repeat. He asked Claude how this keeps working. It said: you don’t need big wins. You need a small edge executed thousands of times at near-even conditions. Volume handles the rest. He asked: what kind of capital this started with. Claude: based on sizing — probably under $1,000. Compounding did the rest. He went through the trades manually. Same pattern every time: short window mispriced odds fast execution instant settlement No randomness. No luck. The same edge, repeated 16,279 times until it turned into $165K. He asked Claude one last thing. What do you call this strategy? It said: capturing the gap between panic pricing and actual probability on repeat. At scale, that gap becomes income. Still running. You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: Just: 1. Comment the word ‘CLAUDE’ 2. Like and Retweet this post 3. Follow me ZAYVEN KNOX (so that I can message you)
0:13

This trader gave Claude $44 and one question. Not “what should I build.” Not “how do bots work.” He asked: what’s the easiest way to consistently extract money from short-term mispricing. No lecture. No disclaimer. No theory. It said: find small windows where the market is off by a few percent. Quietly. Repeatedly. At scale. Then it dropped a wallet. stargate5 $165,618 profit 16,279 trades Joined November 2025 He almost skipped it. Then he opened the activity. No predictions. No narratives. Just micro trades on 5–15 minute windows. Over and over and over. Tiny edges. Constant flow. The entire strategy: scan for mispricing above ~6% enter instantly redeem at $1 repeat. He asked Claude how this keeps working. It said: you don’t need big wins. You need a small edge executed thousands of times at near-even conditions. Volume handles the rest. He asked: what kind of capital this started with. Claude: based on sizing — probably under $1,000. Compounding did the rest. He went through the trades manually. Same pattern every time: short window mispriced odds fast execution instant settlement No randomness. No luck. The same edge, repeated 16,279 times until it turned into $165K. He asked Claude one last thing. What do you call this strategy? It said: capturing the gap between panic pricing and actual probability on repeat. At scale, that gap becomes income. Still running. You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: Just: 1. Comment the word ‘CLAUDE’ 2. Like and Retweet this post 3. Follow me ZAYVEN KNOX (so that I can message you)

ZAYVEN KNOX

10,754 次观看 • 3 个月前

Erik Spoelstra on the Five Core Tenants of Miami "Heat Culture": 1️⃣ Toughest 2️⃣ Nastiest 3️⃣ Best Conditioned 4️⃣ Most Professional 5️⃣ Least Liked 💪 Toughest = You do not need ideal circumstances to compete. You can absorb contact, handle adversity, and keep responding when the game stops being comfortable. 😷 Nastiest = You set the standard with your edge. You do not play entitled, passive, or polite. You compete with force, urgency, and a refusal to be easy to play against. 🍃 Best Conditioned = fatigue cannot become your excuse. When everybody else is negotiating with tired, your habits, preparation, and discipline allow you to keep executing. 👔 Most Professional = your standard does not change with your mood. You show up on time, do your job, accept coaching, tell the truth, and carry yourself like the work matters. 👎 Least Liked = when teams see you on the schedule they feel a wave of frustration, a smidge of anxiety, and that feeling you get before jump into a cold pool that feels like fear mixed with regret. Giannis Antetokounmpo will be indoctrinated into the Miami HEAT identity from day 1. Heat Culture became (in)famous because words showed up in behaviors. Everybody wants the reputation of toughness. Coach Spo and the Heat built it through repetition. ☄️
0:10

Erik Spoelstra on the Five Core Tenants of Miami "Heat Culture": 1️⃣ Toughest 2️⃣ Nastiest 3️⃣ Best Conditioned 4️⃣ Most Professional 5️⃣ Least Liked 💪 Toughest = You do not need ideal circumstances to compete. You can absorb contact, handle adversity, and keep responding when the game stops being comfortable. 😷 Nastiest = You set the standard with your edge. You do not play entitled, passive, or polite. You compete with force, urgency, and a refusal to be easy to play against. 🍃 Best Conditioned = fatigue cannot become your excuse. When everybody else is negotiating with tired, your habits, preparation, and discipline allow you to keep executing. 👔 Most Professional = your standard does not change with your mood. You show up on time, do your job, accept coaching, tell the truth, and carry yourself like the work matters. 👎 Least Liked = when teams see you on the schedule they feel a wave of frustration, a smidge of anxiety, and that feeling you get before jump into a cold pool that feels like fear mixed with regret. Giannis Antetokounmpo will be indoctrinated into the Miami HEAT identity from day 1. Heat Culture became (in)famous because words showed up in behaviors. Everybody wants the reputation of toughness. Coach Spo and the Heat built it through repetition. ☄️

Josh Chambers

77,957 次观看 • 1 个月前

2025 UGA-Texas game has been on SEC Network today. Had it on in the background while doing some stuff around the house. Couple random thoughts… - Really impressed with the back that Nate Frazier became last year. Doled out a lot of punishment in that 4th quarter - Kirby’s big game experience has allowed him to feel momentum and take his swings (4th&5/onside) before it becomes predictable. As the sport continues to compress, that might be worth a couple wins a year - Gunner’s ability to influence second/third level defenders off RPO/rollout/play-action looks when UGA gets the run going is really good. When gap scheme runs are hitting they become really hard to defend, especially when using the depth of the TE room to offset predictability. - UGA has to fight temptation to go into a shell after an early turnover. Lot of wasted possessions after Gunner’s INT in that game. - Zayden Walker’s bend off the edge is high level. Will be fun to watch in 2026 - Losing Bobo/Harris in those last two games is why Kirby and every other SEC coach are distressed by the CFP selection process and a 9-game SEC schedule - Mike Bobo is the favorite punching bag of some but he was cooking in the fourth quarter of that game. Found ways to freeze defenders and create leverage after Texas keyed in on Branch and did a good job stuffing a lot of zone looks up front.
0:10

2025 UGA-Texas game has been on SEC Network today. Had it on in the background while doing some stuff around the house. Couple random thoughts… - Really impressed with the back that Nate Frazier became last year. Doled out a lot of punishment in that 4th quarter - Kirby’s big game experience has allowed him to feel momentum and take his swings (4th&5/onside) before it becomes predictable. As the sport continues to compress, that might be worth a couple wins a year - Gunner’s ability to influence second/third level defenders off RPO/rollout/play-action looks when UGA gets the run going is really good. When gap scheme runs are hitting they become really hard to defend, especially when using the depth of the TE room to offset predictability. - UGA has to fight temptation to go into a shell after an early turnover. Lot of wasted possessions after Gunner’s INT in that game. - Zayden Walker’s bend off the edge is high level. Will be fun to watch in 2026 - Losing Bobo/Harris in those last two games is why Kirby and every other SEC coach are distressed by the CFP selection process and a 9-game SEC schedule - Mike Bobo is the favorite punching bag of some but he was cooking in the fourth quarter of that game. Found ways to freeze defenders and create leverage after Texas keyed in on Branch and did a good job stuffing a lot of zone looks up front.

Graham Coffey

36,024 次观看 • 1 个月前

What happens when you stop guessing and let machine learning read the market for you? $2.2M in 4 months. ilovecircle built something different on Polymarket. Not a speed bot. Not a spread farmer. An AI system that actually thinks. 1,347 predictions. 74% win rate. Biggest single hit: $258.4K. Current positions: basically zero he extracted everything. The setup: 10 machine learning models running in parallel, each trained on news feeds and social media data. They don't predict events they predict when the crowd is wrong about probabilities. Market prices an outcome at 50 cents. His ensemble says the real odds are 60%. That gap is the trade. Every week the models retrain themselves on fresh data. The edge evolves because the system never stops learning. Most traders react to headlines. This wallet front runs the market's understanding of what headlines actually mean. 51K people watching now. Most still think AI trading is a scam until they see a curve like this. → Following wallets that run AI-powered probability models is simpler with PMX.
0:11

What happens when you stop guessing and let machine learning read the market for you? $2.2M in 4 months. ilovecircle built something different on Polymarket. Not a speed bot. Not a spread farmer. An AI system that actually thinks. 1,347 predictions. 74% win rate. Biggest single hit: $258.4K. Current positions: basically zero he extracted everything. The setup: 10 machine learning models running in parallel, each trained on news feeds and social media data. They don't predict events they predict when the crowd is wrong about probabilities. Market prices an outcome at 50 cents. His ensemble says the real odds are 60%. That gap is the trade. Every week the models retrain themselves on fresh data. The edge evolves because the system never stops learning. Most traders react to headlines. This wallet front runs the market's understanding of what headlines actually mean. 51K people watching now. Most still think AI trading is a scam until they see a curve like this. → Following wallets that run AI-powered probability models is simpler with PMX.

Carver

13,072 次观看 • 6 个月前

🚀 Introducing: Travel to Earn (P1) 🌍 What is it? Ever wondered what sets Depinsim apart from the usual tap to earn, invite to earn, and task to earn clichés? It's time to unveil Travel to Earn! 🌟 Get rewarded for your roaming distance—simply travel (triggering a change of location on your eSIM or physical SIM) and earn rewards. 🏆✈️ Why Travel to Earn? In the world of airdrop-based tokenomics, bot accounts are a hassle. But with Depinsim's Travel to Earn, controlling numerous bots becomes nearly impossible. You can only have a max of two (e)SIMs active on one mobile device. Want thousands of accounts to earn travel rewards? You’d need to carry thousands of phones! 📱💼 Worried about not traveling much? No worries! Our system is designed to reward real users and curb bots. Even if your longest journey is to grab takeout from your front door, you can still earn rewards and airdrops. Just remember to take your phone with you! 📲🍔 Plus, we’ve capped the daily travel rewards to ensure even Ironman and Doctor Strange cannot cheat with technology or magic. What's P1? P1 stands for Phase One. Get ready for more exciting location-based play modes coming soon to our Travel to Earn system! 🌐 When is it live? P1 is now live for all early users. 🔑Here are some invite codes if you don’t have one: lyx8vovfie lyejrvno0E lz74plenL8 Ready to earn while you roam? 🌍🚀 #TravelToEarn #Depinsim #RewardsOnTheGo
0:17

🚀 Introducing: Travel to Earn (P1) 🌍 What is it? Ever wondered what sets Depinsim apart from the usual tap to earn, invite to earn, and task to earn clichés? It's time to unveil Travel to Earn! 🌟 Get rewarded for your roaming distance—simply travel (triggering a change of location on your eSIM or physical SIM) and earn rewards. 🏆✈️ Why Travel to Earn? In the world of airdrop-based tokenomics, bot accounts are a hassle. But with Depinsim's Travel to Earn, controlling numerous bots becomes nearly impossible. You can only have a max of two (e)SIMs active on one mobile device. Want thousands of accounts to earn travel rewards? You’d need to carry thousands of phones! 📱💼 Worried about not traveling much? No worries! Our system is designed to reward real users and curb bots. Even if your longest journey is to grab takeout from your front door, you can still earn rewards and airdrops. Just remember to take your phone with you! 📲🍔 Plus, we’ve capped the daily travel rewards to ensure even Ironman and Doctor Strange cannot cheat with technology or magic. What's P1? P1 stands for Phase One. Get ready for more exciting location-based play modes coming soon to our Travel to Earn system! 🌐 When is it live? P1 is now live for all early users. 🔑Here are some invite codes if you don’t have one: lyx8vovfie lyejrvno0E lz74plenL8 Ready to earn while you roam? 🌍🚀 #TravelToEarn #Depinsim #RewardsOnTheGo

Depinsim

128,186 次观看 • 2 年前

I really like those 2.5D characters here's my Seedance2 prompt: MANGA READER TURNAROUND CHARACTER: Young Japanese man sitting cross-legged on the floor reading a colorful manga magazine, spiky messy black hair sticking up in chunky angular shapes, thick eyebrows, small round glasses, slight stubble, cross pendant necklace on a thin chain, wearing a loose open dark navy pinstripe yukata robe showing his chest, bare feet tucked under his legs, small ceramic ashtray with cigarette butts on the floor to his left, round ceramic pot to his right, focused slightly annoyed expression looking down at the magazine. 3D CG model with 2D hand-drawn overlay, scribble hatching in all shadow areas boiling every frame, thick ink outlines on silhouette edges redrawing with wobble, flat painted color textures on 3D geometry, color bleeding outside contour lines. SEQUENCE [0s–5s] Character sits cross-legged holding the manga open in both hands, not moving, just reading. Camera begins a smooth continuous 360 degree orbit around him at his eye level. As the camera moves from front to three-quarter to side profile, the 3D model rotates cleanly revealing his full volume but the 2D ink layer on top lives and breathes, scribble hatching in the shadows under his jaw and inside the yukata folds and between his crossed legs redraws every frame with jittery boiling energy, thick ink outlines on his silhouette wobble and shift in thickness as the angle changes, the flat painted navy yukata wraps around his torso showing new pinstripe ink lines and fold marks at each new angle, his spiky hair reveals its 3D chunky volume from new angles, the manga magazine pages catch the light differently as the camera passes, cigarette smoke curls upward as loose scribbled white lines drifting gently [5s–10s] Camera continues the smooth unbroken orbit past his side revealing the cross necklace hanging from his neck in profile, through his back showing the yukata fabric draped across his shoulders and the spiky hair from behind, past his left side and returning to front, the entire rotation fluid and steady, throughout the full 360 the boiling ink outlines never stop trembling on every edge, the scribble hatching in shadows keeps redrawing in slightly different positions each frame giving the whole image a living sketchbook vibration even though he holds perfectly still reading, the flat painted color planes on his skin shift between warm peach and darker shadow tones as new surfaces catch the light, the ashtray and ceramic pot on the floor rotate into and out of view naturally, white background STYLE: 2.5D painterly CG. 3D CG geometry underneath for volume and smooth rotation. 2D Grease Pencil layer on top, thick wobbly ink outlines, scribble hatching in all shadows boiling every frame, flat painted color planes not smooth gradients. No photorealism. No smooth CG rendering. Muted palette dark navy warm peach black white. Film grain. Clean white background. Smooth continuous camera orbit.
0:15

I really like those 2.5D characters here's my Seedance2 prompt: MANGA READER TURNAROUND CHARACTER: Young Japanese man sitting cross-legged on the floor reading a colorful manga magazine, spiky messy black hair sticking up in chunky angular shapes, thick eyebrows, small round glasses, slight stubble, cross pendant necklace on a thin chain, wearing a loose open dark navy pinstripe yukata robe showing his chest, bare feet tucked under his legs, small ceramic ashtray with cigarette butts on the floor to his left, round ceramic pot to his right, focused slightly annoyed expression looking down at the magazine. 3D CG model with 2D hand-drawn overlay, scribble hatching in all shadow areas boiling every frame, thick ink outlines on silhouette edges redrawing with wobble, flat painted color textures on 3D geometry, color bleeding outside contour lines. SEQUENCE [0s–5s] Character sits cross-legged holding the manga open in both hands, not moving, just reading. Camera begins a smooth continuous 360 degree orbit around him at his eye level. As the camera moves from front to three-quarter to side profile, the 3D model rotates cleanly revealing his full volume but the 2D ink layer on top lives and breathes, scribble hatching in the shadows under his jaw and inside the yukata folds and between his crossed legs redraws every frame with jittery boiling energy, thick ink outlines on his silhouette wobble and shift in thickness as the angle changes, the flat painted navy yukata wraps around his torso showing new pinstripe ink lines and fold marks at each new angle, his spiky hair reveals its 3D chunky volume from new angles, the manga magazine pages catch the light differently as the camera passes, cigarette smoke curls upward as loose scribbled white lines drifting gently [5s–10s] Camera continues the smooth unbroken orbit past his side revealing the cross necklace hanging from his neck in profile, through his back showing the yukata fabric draped across his shoulders and the spiky hair from behind, past his left side and returning to front, the entire rotation fluid and steady, throughout the full 360 the boiling ink outlines never stop trembling on every edge, the scribble hatching in shadows keeps redrawing in slightly different positions each frame giving the whole image a living sketchbook vibration even though he holds perfectly still reading, the flat painted color planes on his skin shift between warm peach and darker shadow tones as new surfaces catch the light, the ashtray and ceramic pot on the floor rotate into and out of view naturally, white background STYLE: 2.5D painterly CG. 3D CG geometry underneath for volume and smooth rotation. 2D Grease Pencil layer on top, thick wobbly ink outlines, scribble hatching in all shadows boiling every frame, flat painted color planes not smooth gradients. No photorealism. No smooth CG rendering. Muted palette dark navy warm peach black white. Film grain. Clean white background. Smooth continuous camera orbit.

INK

15,192 次观看 • 3 个月前

Officially moving on from Tech game after I get this thought off my chest. I more than welcome anyone smarter than me in regards to the football to chime in. I truly, truly, truly cannot wrap my head around the thought process here. These two plays I'm sure anyone with brain can agree officially sealed KU's slim chances in having a chance to win this game. The play calling to me seems like completely flipped in logic at best? First one, you are down 4, on your own 30 so you are not going to go for this. Ignoring that we were getting dominated in the trenches in this game and that the 'obvious' play is a run, I don't get why we make the decision in a must get spot to take the ball out of our QB's (who at the time was rolling) hands. Jalon Daniels is our best player. In an absolute must get/need, we should be relying on him to make a play. Then the second one. I obviously don't know the answer here, but I feel somewhat confident that the reason we didn't run here was because of how the earlier 3rd & 1 run went. While I don't necessarily agree with the premise of decision making on this alone, I can appreciate the recognition that we are going to struggle to gain a yard in an obvious run situation. But the thing is, we are in go for it range so the one thing you absolutely cannot have is a massive negative play. Literally anything else is okay (obviously not a turnover). I truly don't think there's a good chance we run the ball on this attempt and get a yard. But THIS situation gives you a free shot at it if you want to take it. I think this play call would have worked if we didn't let their best player run at our qb freely but I'd just argue this play had a ton of potential risk that wasn't necessary. Hell even a play action pass out of out shot gun or something rolling JD out to the left would have given us a good shot at first down with an escape route to bail out on the play if something went wrong. I'm once again for the millionth time saying I know and understand that this entire staff knows more about football in their pinky than I do. But I do think the game has evolved and game + clock management doesn't really require football knowledge/have a direct correlation to one's football knowledge. It's not as simple as ESPN's graphic says GO so you should go etc, there are variables and human behavior etc to deal with and I understand that. But we are just getting these situations downright wrong. We are flipping a coin that has a 20 pound weight attached to the heads side and calling tails almost every single time. S/O anyone who read all this but would just love some insight if there's anyone who disagrees and is a lot smarter than I!
0:10

Officially moving on from Tech game after I get this thought off my chest. I more than welcome anyone smarter than me in regards to the football to chime in. I truly, truly, truly cannot wrap my head around the thought process here. These two plays I'm sure anyone with brain can agree officially sealed KU's slim chances in having a chance to win this game. The play calling to me seems like completely flipped in logic at best? First one, you are down 4, on your own 30 so you are not going to go for this. Ignoring that we were getting dominated in the trenches in this game and that the 'obvious' play is a run, I don't get why we make the decision in a must get spot to take the ball out of our QB's (who at the time was rolling) hands. Jalon Daniels is our best player. In an absolute must get/need, we should be relying on him to make a play. Then the second one. I obviously don't know the answer here, but I feel somewhat confident that the reason we didn't run here was because of how the earlier 3rd & 1 run went. While I don't necessarily agree with the premise of decision making on this alone, I can appreciate the recognition that we are going to struggle to gain a yard in an obvious run situation. But the thing is, we are in go for it range so the one thing you absolutely cannot have is a massive negative play. Literally anything else is okay (obviously not a turnover). I truly don't think there's a good chance we run the ball on this attempt and get a yard. But THIS situation gives you a free shot at it if you want to take it. I think this play call would have worked if we didn't let their best player run at our qb freely but I'd just argue this play had a ton of potential risk that wasn't necessary. Hell even a play action pass out of out shot gun or something rolling JD out to the left would have given us a good shot at first down with an escape route to bail out on the play if something went wrong. I'm once again for the millionth time saying I know and understand that this entire staff knows more about football in their pinky than I do. But I do think the game has evolved and game + clock management doesn't really require football knowledge/have a direct correlation to one's football knowledge. It's not as simple as ESPN's graphic says GO so you should go etc, there are variables and human behavior etc to deal with and I understand that. But we are just getting these situations downright wrong. We are flipping a coin that has a 20 pound weight attached to the heads side and calling tails almost every single time. S/O anyone who read all this but would just love some insight if there's anyone who disagrees and is a lot smarter than I!

Bryson Stricker

33,876 次观看 • 9 个月前

On the second day of recruiting myths… Myth #2: “The name on the front of your jersey doesn’t matter.” There is some truth here. But people usually say this to make you feel better if you’re not on a team in the “recruiting bubble.” And yes of course there are always outliers. If you’re Montana Fouts, you could show up playing for the Butterflies and coaches would still be lined up drooling at the fence. But for most of us? The jersey does matter. Especially if you don’t have true 5-star size or can’t blow people away with elite metrics. I know this because I’ve been on both sides of it. Same player. Same work ethic. Completely different response from coaches. Why does the jersey matter more than people admit? First impressions. If a coach doesn’t recognize your club as one that consistently produces players at their level, you have to overwhelm them with performance and numbers just to get the same look. What matters even more than the jersey name is the coach attached to it. My last club, Rising, was brand new. But my coach, Steve Appel, had a lot of successful former players at top 25 programs. Coaches knew him. Trusted him. We were at the best fields and no one cared what was on the front of our jerseys. At my first tournament with that team, I saw more college coaches than I had in my entire recruiting journey before that. It’s true. College coaches aren’t recruiting a jersey. They’re recruiting you. But your jersey affects: •what fields you play on •who stops to watch •how risky you look on paper A well-known club with proven coaches comes with built-in credibility. Can you get recruited without that? Yes. I did. But if you’ve read my book, you know how many things had to line up for that to happen. So is there truth to this myth? Yes. But most of the time, when people say it, they’re trying to protect you from a harder truth: Recruiting isn’t just about how good you are. It’s also about who’s willing to vouch for you. And your jersey is a powerful indicator of that before a coach sees you even pick up a ball. #RecruitingRules Rule #6: The lifeblood of recruiting is relationships. And whether you like it or not, the front of your jersey is part of that. Photo Caption: Top image my OG team, AZ Steel after winning the Colorado Sparkler Supplemental Power Pool. Bottom image with steve appel after winning PGF Nationals. My original team eventually made it into the “recruiting bubble” the summer after I committed. We were a solid competitive team at the national club level, but having played for both, no one will ever convince me that my recruiting opportunities would have been the same regardless of which jersey I was wearing. Completely different worlds. I wouldn’t change my path. I ended up exactly where I always dreamed to be, and my path made me who I am, but in my case believing this myth for so long cost me time and my family money.
0:20

On the second day of recruiting myths… Myth #2: “The name on the front of your jersey doesn’t matter.” There is some truth here. But people usually say this to make you feel better if you’re not on a team in the “recruiting bubble.” And yes of course there are always outliers. If you’re Montana Fouts, you could show up playing for the Butterflies and coaches would still be lined up drooling at the fence. But for most of us? The jersey does matter. Especially if you don’t have true 5-star size or can’t blow people away with elite metrics. I know this because I’ve been on both sides of it. Same player. Same work ethic. Completely different response from coaches. Why does the jersey matter more than people admit? First impressions. If a coach doesn’t recognize your club as one that consistently produces players at their level, you have to overwhelm them with performance and numbers just to get the same look. What matters even more than the jersey name is the coach attached to it. My last club, Rising, was brand new. But my coach, Steve Appel, had a lot of successful former players at top 25 programs. Coaches knew him. Trusted him. We were at the best fields and no one cared what was on the front of our jerseys. At my first tournament with that team, I saw more college coaches than I had in my entire recruiting journey before that. It’s true. College coaches aren’t recruiting a jersey. They’re recruiting you. But your jersey affects: •what fields you play on •who stops to watch •how risky you look on paper A well-known club with proven coaches comes with built-in credibility. Can you get recruited without that? Yes. I did. But if you’ve read my book, you know how many things had to line up for that to happen. So is there truth to this myth? Yes. But most of the time, when people say it, they’re trying to protect you from a harder truth: Recruiting isn’t just about how good you are. It’s also about who’s willing to vouch for you. And your jersey is a powerful indicator of that before a coach sees you even pick up a ball. #RecruitingRules Rule #6: The lifeblood of recruiting is relationships. And whether you like it or not, the front of your jersey is part of that. Photo Caption: Top image my OG team, AZ Steel after winning the Colorado Sparkler Supplemental Power Pool. Bottom image with steve appel after winning PGF Nationals. My original team eventually made it into the “recruiting bubble” the summer after I committed. We were a solid competitive team at the national club level, but having played for both, no one will ever convince me that my recruiting opportunities would have been the same regardless of which jersey I was wearing. Completely different worlds. I wouldn’t change my path. I ended up exactly where I always dreamed to be, and my path made me who I am, but in my case believing this myth for so long cost me time and my family money.

Amelia Streuber 2025 🦫

15,056 次观看 • 7 个月前

🇺🇸 Friday the Treasury Secretary said it on the wire. "Iran is the head of the snake for global terrorism." That is the title of the book this account is built around. Verbatim. From Treasury. On the record. Bessent does not reach for that phrase casually. He said it while his department was already doing 4 things at once. 👉 Cut off Iran's back-door money lanes. 👉 Made it illegal for shippers and banks to play along with Iran's Hormuz toll. 👉 Pulled the plug on 3 of Iran's currency front-companies moving billions out the side door. 👉 Hit a Chinese oil terminal for moving Iran's oil. None of that is press talk. The pipes are getting cleaned out. Here is why it matters. You cannot revalue the IQD into a financial system Iran is bleeding from the side. Bessent is sealing the leaks before the new money flows. The HCL is the Iraqi side of the same fix. It splits oil revenue between Baghdad and Erbil. That split has been the missing piece for years. Lock the split, and Iraq's books become predictable. Predictable books unlock the global lenders. Global lenders are what reprices the dinar. Clean US rails on one end. Iraqi revenue sharing on the other. THAT is the system the rate moves through. Cut off the snake. Sanction the baby serpents. Lock the bad guys out. Connect the rails. Pass the HCL. Let the liquidity flow. The US moved Friday. Iran answered Saturday. Iraq votes May 27. If al-Zaidi clears the cabinet, the HCL gets a shepherd. The HCL moves. The rate follows. Today's full read in bio.
0:10

🇺🇸 Friday the Treasury Secretary said it on the wire. "Iran is the head of the snake for global terrorism." That is the title of the book this account is built around. Verbatim. From Treasury. On the record. Bessent does not reach for that phrase casually. He said it while his department was already doing 4 things at once. 👉 Cut off Iran's back-door money lanes. 👉 Made it illegal for shippers and banks to play along with Iran's Hormuz toll. 👉 Pulled the plug on 3 of Iran's currency front-companies moving billions out the side door. 👉 Hit a Chinese oil terminal for moving Iran's oil. None of that is press talk. The pipes are getting cleaned out. Here is why it matters. You cannot revalue the IQD into a financial system Iran is bleeding from the side. Bessent is sealing the leaks before the new money flows. The HCL is the Iraqi side of the same fix. It splits oil revenue between Baghdad and Erbil. That split has been the missing piece for years. Lock the split, and Iraq's books become predictable. Predictable books unlock the global lenders. Global lenders are what reprices the dinar. Clean US rails on one end. Iraqi revenue sharing on the other. THAT is the system the rate moves through. Cut off the snake. Sanction the baby serpents. Lock the bad guys out. Connect the rails. Pass the HCL. Let the liquidity flow. The US moved Friday. Iran answered Saturday. Iraq votes May 27. If al-Zaidi clears the cabinet, the HCL gets a shepherd. The HCL moves. The rate follows. Today's full read in bio.

Reset Intelligence

15,762 次观看 • 2 个月前

OpenAI's AgentKit will be so insane, build every step of agents on one platform. These visual agent builders make the whole process of iterating and launching agents far more efficient. It sits on top of the Responses API and unifies the tools that were previously scattered across SDKs and custom orchestration. It lets developers create agent workflows visually, connect data sources securely, and measure performance automatically without coding every layer by hand. The core of AgentKit is the Agent Builder, a drag-and-drop canvas where each node represents an action, guardrail, or decision branch. Developers can link these nodes into multi-agent workflows, preview results instantly, and version each setup. It supports inline evaluation so that developers can see how changes affect output before deploying. The Connector Registry is a single admin panel that manages how data and tools connect across the OpenAI ecosystem. It centralizes integrations like Google Drive, SharePoint, Dropbox, and Microsoft Teams. Large organizations can govern access and flow of data between agents securely under one global console. ChatKit provides a ready-to-use chat interface for embedding agents inside apps or websites. It manages streaming, message threads, and model reasoning displays automatically. Developers can skin the interface to match their product without writing custom front-end code. Under the hood, all these blocks use the same execution core that runs agent reasoning through OpenAI’s APIs. Workflows in Agent Builder compile down to structured instructions for the Responses API, which handles model calls, tool use, and context passing. Connector Registry handles authentication and routing for external tools, while Evals and RFT provide feedback loops that improve agents over time. This integration means developers no longer need to handle orchestration logic, model evaluation pipelines, or safety layers separately. Everything runs natively within OpenAI’s control plane with managed security, automatic versioning, and built-in testing. In short, AgentKit standardizes the entire life cycle of an AI agent—from visual design to deployment and performance tuning—inside a single unified system.
0:10

OpenAI's AgentKit will be so insane, build every step of agents on one platform. These visual agent builders make the whole process of iterating and launching agents far more efficient. It sits on top of the Responses API and unifies the tools that were previously scattered across SDKs and custom orchestration. It lets developers create agent workflows visually, connect data sources securely, and measure performance automatically without coding every layer by hand. The core of AgentKit is the Agent Builder, a drag-and-drop canvas where each node represents an action, guardrail, or decision branch. Developers can link these nodes into multi-agent workflows, preview results instantly, and version each setup. It supports inline evaluation so that developers can see how changes affect output before deploying. The Connector Registry is a single admin panel that manages how data and tools connect across the OpenAI ecosystem. It centralizes integrations like Google Drive, SharePoint, Dropbox, and Microsoft Teams. Large organizations can govern access and flow of data between agents securely under one global console. ChatKit provides a ready-to-use chat interface for embedding agents inside apps or websites. It manages streaming, message threads, and model reasoning displays automatically. Developers can skin the interface to match their product without writing custom front-end code. Under the hood, all these blocks use the same execution core that runs agent reasoning through OpenAI’s APIs. Workflows in Agent Builder compile down to structured instructions for the Responses API, which handles model calls, tool use, and context passing. Connector Registry handles authentication and routing for external tools, while Evals and RFT provide feedback loops that improve agents over time. This integration means developers no longer need to handle orchestration logic, model evaluation pipelines, or safety layers separately. Everything runs natively within OpenAI’s control plane with managed security, automatic versioning, and built-in testing. In short, AgentKit standardizes the entire life cycle of an AI agent—from visual design to deployment and performance tuning—inside a single unified system.

Rohan Paul

178,460 次观看 • 9 个月前

seedance 2.0 prompt： 15-second comedic animated short in the world and visual tone of Zootopia. High-quality stylized 3D animation, expressive facial acting, clean readable slapstick, bright police-station interior, polished reflective floor, warm indoor daylight. Visual comedy only, little or no dialogue. Judy Hopps: small fast rabbit police officer, blue ZPD uniform, hyper-serious, explosive sprinting, precise slides, determined face, ears reacting sharply. Nick Wilde: tall slim fox, green shirt and tie, relaxed posture, minimal movement, dry amused expression. Background: one distant sloth clerk at a far desk only, never entering foreground. Key object: one single strawberry jelly donut, same donut for the entire clip, falls from Nick’s small brown paper bag, rolls across the floor, gets stopped by Nick, then gets sealed into one clear evidence bag by Judy. No duplicate donuts, no extra props, no continuity errors. Camera language: third-person cinematic comedy, medium shots, low-angle close tracking on the donut, one side tracking shot, one final tight two-shot. Smooth stabilized movement, tiny comedic whip corrections only when needed. Always keep donut, Judy, and Nick spatially readable. 0:00–0:03 Medium shot, light tracking in ZPD lobby. Judy and Nick walk side by side past the front desk. Judy carries a small clipboard, Nick carries a brown paper bag. One strawberry jelly donut slips out of the bag, drops to the floor, and starts rolling. Judy’s ears snap upright and she locks onto it like a fleeing suspect. Camera dips lower to keep the donut in the foreground. 0:03–0:06 Low close tracking shot on the same donut rolling fast over the shiny floor. Judy bursts into frame from behind, clipboard tucked under one arm, sprinting hard with both paws reaching forward. She almost grabs it but misses by centimeters. The donut keeps rolling. Quick readable camera adjustment, no chaotic motion. 0:06–0:09 Side medium-wide tracking shot. The donut curves around a fixed desk leg. Judy makes an exaggerated quick step and low slide to intercept, but it slips past her again. She pivots and chases immediately. In the background, Nick simply walks on a shorter diagonal path, calm and unhurried. Keep the same donut clearly visible. 0:09–0:12 Frontal medium-close shot. The donut rolls toward camera. Nick’s paw enters calmly from frame right and presses the same donut to a stop. Judy slides in from frame left and freezes with her nose just inches from it, still in full arrest pose. Hold the reaction beat clearly. 0:12–0:15 Tight two-shot. Nick lifts the same donut with two fingers and hands it over with a dry smug grin. Judy instantly switches back to formal police mode, pulls out one clear evidence bag, seals the same donut inside, and proudly presents it to camera like a major arrest. Nick stands beside her with an amused look. In deep background, the sloth clerk slowly raises a stamp. End on a clean comedic freeze frame: evidence bag with the donut centered in foreground, Judy serious and proud, Nick smirking beside her. Consistency rules: same donut throughout, no extra donuts, no costume changes, clipboard stays with Judy, background sloth remains distant, no extra foreground characters, no object popping in or out, final frame must clearly show the donut inside the evidence bag.
0:15

seedance 2.0 prompt： 15-second comedic animated short in the world and visual tone of Zootopia. High-quality stylized 3D animation, expressive facial acting, clean readable slapstick, bright police-station interior, polished reflective floor, warm indoor daylight. Visual comedy only, little or no dialogue. Judy Hopps: small fast rabbit police officer, blue ZPD uniform, hyper-serious, explosive sprinting, precise slides, determined face, ears reacting sharply. Nick Wilde: tall slim fox, green shirt and tie, relaxed posture, minimal movement, dry amused expression. Background: one distant sloth clerk at a far desk only, never entering foreground. Key object: one single strawberry jelly donut, same donut for the entire clip, falls from Nick’s small brown paper bag, rolls across the floor, gets stopped by Nick, then gets sealed into one clear evidence bag by Judy. No duplicate donuts, no extra props, no continuity errors. Camera language: third-person cinematic comedy, medium shots, low-angle close tracking on the donut, one side tracking shot, one final tight two-shot. Smooth stabilized movement, tiny comedic whip corrections only when needed. Always keep donut, Judy, and Nick spatially readable. 0:00–0:03 Medium shot, light tracking in ZPD lobby. Judy and Nick walk side by side past the front desk. Judy carries a small clipboard, Nick carries a brown paper bag. One strawberry jelly donut slips out of the bag, drops to the floor, and starts rolling. Judy’s ears snap upright and she locks onto it like a fleeing suspect. Camera dips lower to keep the donut in the foreground. 0:03–0:06 Low close tracking shot on the same donut rolling fast over the shiny floor. Judy bursts into frame from behind, clipboard tucked under one arm, sprinting hard with both paws reaching forward. She almost grabs it but misses by centimeters. The donut keeps rolling. Quick readable camera adjustment, no chaotic motion. 0:06–0:09 Side medium-wide tracking shot. The donut curves around a fixed desk leg. Judy makes an exaggerated quick step and low slide to intercept, but it slips past her again. She pivots and chases immediately. In the background, Nick simply walks on a shorter diagonal path, calm and unhurried. Keep the same donut clearly visible. 0:09–0:12 Frontal medium-close shot. The donut rolls toward camera. Nick’s paw enters calmly from frame right and presses the same donut to a stop. Judy slides in from frame left and freezes with her nose just inches from it, still in full arrest pose. Hold the reaction beat clearly. 0:12–0:15 Tight two-shot. Nick lifts the same donut with two fingers and hands it over with a dry smug grin. Judy instantly switches back to formal police mode, pulls out one clear evidence bag, seals the same donut inside, and proudly presents it to camera like a major arrest. Nick stands beside her with an amused look. In deep background, the sloth clerk slowly raises a stamp. End on a clean comedic freeze frame: evidence bag with the donut centered in foreground, Judy serious and proud, Nick smirking beside her. Consistency rules: same donut throughout, no extra donuts, no costume changes, clipboard stays with Judy, background sloth remains distant, no extra foreground characters, no object popping in or out, final frame must clearly show the donut inside the evidence bag.

Midjourney Sref and prompt Library

13,096 次观看 • 4 个月前

🚨🇺🇸🇮🇷 U.S-ISRAELI STRIKES ON IRAN: MAJOR COMBAT, MAJOR CONSEQUENCES The Middle East just crossed a line it may not be able to uncross. After coordinated strikes by the United States and Israel on Iranian targets, including the compound of Supreme Leader Ali Khamenei, Trump declared the start of “major combat operations” and openly urged Iranians to “take over your government.” Iran answered within hours, launching missiles toward Israel and U.S. military installations in Qatar, Kuwait, Bahrain, and the UAE. Airspace across the region shut down. Hundreds of flights were grounded. Sirens wailed throughout Israel. Smoke rose near the U.S. Navy’s Fifth Fleet base in Bahrain. Even Dubai, usually insulated from frontline chaos, felt the spillover. Netanyahu framed the assault as removing an “existential threat.” Washington insists Iran cannot be allowed to develop a nuclear weapon. Tehran denies pursuing one and now vows “crushing retaliation,” declaring all U.S. bases in the region legitimate targets. And just like that, deterrence becomes escalation. Calling on Iranians to overthrow their government may sound bold, but history is littered with examples of foreign pressure strengthening the very regimes it seeks to topple. Nationalism hardens. Hardliners consolidate. Internal dissent gets crushed under the banner of resisting outside aggression. Meanwhile, regional allies are uneasy. The UK has distanced itself from the strikes. European leaders condemn Iranian retaliation but stop short of endorsing Washington’s escalation. Gulf states now face direct missile threats on their soil. This is how regional conflicts become global crises. The stated goal is to stop a nuclear Iran. The risk is a multi-front war stretching from Israel to the Gulf, pulling in proxy forces, global powers, and energy markets already on edge. While “major combat operations” are easy to announce, they’re much harder to contain.
0:09

🚨🇺🇸🇮🇷 U.S-ISRAELI STRIKES ON IRAN: MAJOR COMBAT, MAJOR CONSEQUENCES The Middle East just crossed a line it may not be able to uncross. After coordinated strikes by the United States and Israel on Iranian targets, including the compound of Supreme Leader Ali Khamenei, Trump declared the start of “major combat operations” and openly urged Iranians to “take over your government.” Iran answered within hours, launching missiles toward Israel and U.S. military installations in Qatar, Kuwait, Bahrain, and the UAE. Airspace across the region shut down. Hundreds of flights were grounded. Sirens wailed throughout Israel. Smoke rose near the U.S. Navy’s Fifth Fleet base in Bahrain. Even Dubai, usually insulated from frontline chaos, felt the spillover. Netanyahu framed the assault as removing an “existential threat.” Washington insists Iran cannot be allowed to develop a nuclear weapon. Tehran denies pursuing one and now vows “crushing retaliation,” declaring all U.S. bases in the region legitimate targets. And just like that, deterrence becomes escalation. Calling on Iranians to overthrow their government may sound bold, but history is littered with examples of foreign pressure strengthening the very regimes it seeks to topple. Nationalism hardens. Hardliners consolidate. Internal dissent gets crushed under the banner of resisting outside aggression. Meanwhile, regional allies are uneasy. The UK has distanced itself from the strikes. European leaders condemn Iranian retaliation but stop short of endorsing Washington’s escalation. Gulf states now face direct missile threats on their soil. This is how regional conflicts become global crises. The stated goal is to stop a nuclear Iran. The risk is a multi-front war stretching from Israel to the Gulf, pulling in proxy forces, global powers, and energy markets already on edge. While “major combat operations” are easy to announce, they’re much harder to contain.

Mario Nawfal

438,747 次观看 • 5 个月前

‡ Judging Firm Ground Turf Action Friday's 8th race is the Breeders' Cup Juvenile Fillies Turf. I've chosen this race not because it will necessarily present a good betting opportunity, but rather a good illustration of how I go about predicting whether horses which haven't yet raced on firm turf are likely to handle it well. In the U.S., handicappers typically look through the lens from the other side, meaning that as the vast majority of turf races are contested over firm (or hard) courses, predicting which horses may handle the odd soft ground race is the challenge. But when horses travel from Europe to the U.S., relatively few have shown form over anything like the firm ground typically found in the States, and not all of them adapt equally well. There are four European runners in the race. Balantina was beaten just a nose in a Group III race in France over a course rated firm, and her action appears consistent with a horse that should handle even firmer going. Precise, the 6/5 program favorite, has also won over relatively firm surfaces, and shows a good action. She'll need to overcome a very bad draw, but is clearly the best horse in the race on form. This brings us to the two fillies that I'll use to illustrate contrasting action. Broadly speaking, horses that are well-suited to firm surfaces show a fluid, lower-to-the-ground action, while those which often prove best on softer surfaces display a rounder, or what is sometimes referred to as "knee" action. Pacific Mission has run only three times. Her two races on turf were contested over ground that was much softer than what she will face at Del Mar. But her third race was at Kempton, over an all-weather surface, and the attached clip (below, on the left), was taken from that race. She is the one in front, with the rider wearing the iconic pink, white and green Juddmonte silks. As you should be able to see, Pacific Mission shows a good, fluid action, which implies that she is likely to adapt well to the Del Mar turf. Whether she, and her rider, Colin Keane, will be able to overcome the 12 post, and prove good enough to win or place, are different matters. Queen of Hawaii, trained by Aidan O'Brien's son Joseph, will break from post 2. She also has three starts to date, but unlike Pacific Mission, has yet to race over anything like firm ground. While all three of her races were over ground rated "good", that rating in Ireland is typically, I would say, equivalent to what would be labeled a "yielding" course in the U.S. That each of her last two races, both over a mile, were run no faster than 1:41 4/5, helps to illustrate the point. The clip of her most recent run (below, on the right), was taken from her Group III win at The Curragh in August. She is the horse tracking three wide (#5), in dark blue silks. Note how she picks up her knees, as that it the type of action that is more often associated with horses that prefer give in the ground. To be clear, some horse that display such action do "act" on firmer surfaces, as well, and presumably her trainer is optimistic that Queen of Hawaii will adapt. But the contrast between her action, and that of Pacific Mission, provides a good illustration of the basic differences. And setting aside all other handicapping variables, horses with fluid action are more likely to excel over firm surfaces than those with a pronounced knee action.
0:17

‡ Judging Firm Ground Turf Action Friday's 8th race is the Breeders' Cup Juvenile Fillies Turf. I've chosen this race not because it will necessarily present a good betting opportunity, but rather a good illustration of how I go about predicting whether horses which haven't yet raced on firm turf are likely to handle it well. In the U.S., handicappers typically look through the lens from the other side, meaning that as the vast majority of turf races are contested over firm (or hard) courses, predicting which horses may handle the odd soft ground race is the challenge. But when horses travel from Europe to the U.S., relatively few have shown form over anything like the firm ground typically found in the States, and not all of them adapt equally well. There are four European runners in the race. Balantina was beaten just a nose in a Group III race in France over a course rated firm, and her action appears consistent with a horse that should handle even firmer going. Precise, the 6/5 program favorite, has also won over relatively firm surfaces, and shows a good action. She'll need to overcome a very bad draw, but is clearly the best horse in the race on form. This brings us to the two fillies that I'll use to illustrate contrasting action. Broadly speaking, horses that are well-suited to firm surfaces show a fluid, lower-to-the-ground action, while those which often prove best on softer surfaces display a rounder, or what is sometimes referred to as "knee" action. Pacific Mission has run only three times. Her two races on turf were contested over ground that was much softer than what she will face at Del Mar. But her third race was at Kempton, over an all-weather surface, and the attached clip (below, on the left), was taken from that race. She is the one in front, with the rider wearing the iconic pink, white and green Juddmonte silks. As you should be able to see, Pacific Mission shows a good, fluid action, which implies that she is likely to adapt well to the Del Mar turf. Whether she, and her rider, Colin Keane, will be able to overcome the 12 post, and prove good enough to win or place, are different matters. Queen of Hawaii, trained by Aidan O'Brien's son Joseph, will break from post 2. She also has three starts to date, but unlike Pacific Mission, has yet to race over anything like firm ground. While all three of her races were over ground rated "good", that rating in Ireland is typically, I would say, equivalent to what would be labeled a "yielding" course in the U.S. That each of her last two races, both over a mile, were run no faster than 1:41 4/5, helps to illustrate the point. The clip of her most recent run (below, on the right), was taken from her Group III win at The Curragh in August. She is the horse tracking three wide (#5), in dark blue silks. Note how she picks up her knees, as that it the type of action that is more often associated with horses that prefer give in the ground. To be clear, some horse that display such action do "act" on firmer surfaces, as well, and presumably her trainer is optimistic that Queen of Hawaii will adapt. But the contrast between her action, and that of Pacific Mission, provides a good illustration of the basic differences. And setting aside all other handicapping variables, horses with fluid action are more likely to excel over firm surfaces than those with a pronounced knee action.

Tinky

13,918 次观看 • 9 个月前