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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

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16,480 просмотров • 2 месяцев назад •via X (Twitter)

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Arizona State DC Brian Ward sent Owen Long off the edge and dropped his 295-pound 3-tech into the Hook zone on this sack 😮‍💨 Long got to the QB untouched even though it’s still 4v5 up front. Excited to see what tricks Ward has up his sleeve for Texas A&M.
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Arizona State DC Brian Ward sent Owen Long off the edge and dropped his 295-pound 3-tech into the Hook zone on this sack 😮‍💨 Long got to the QB untouched even though it’s still 4v5 up front. Excited to see what tricks Ward has up his sleeve for Texas A&M.

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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
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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

sim 🇧🇷🇲🇽🇸🇳🇫🇷🇭🇹

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5. If you were frustrated by watching UC try to rush the QB with three defenders over the past two years, that won’t be the case under new DC Nate Woody. “Coach Woody emphasizes sending the blitz,” said edge Brian Simms. “On every play, the offense has to worry about something coming so that’s the good thing about it. It’s never going to be a three-man rush.”
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5. If you were frustrated by watching UC try to rush the QB with three defenders over the past two years, that won’t be the case under new DC Nate Woody. “Coach Woody emphasizes sending the blitz,” said edge Brian Simms. “On every play, the offense has to worry about something coming so that’s the good thing about it. It’s never going to be a three-man rush.”

Dan Hoard

12,799 просмотров • 1 месяц назад

Today was the final day with the Mrs. and our two friends in Scotland… (my trip continues for another 6 days 😬) We finished at Kilspindie today - the perfect course to wrap up our incredible trip. A “wee breeze” as Scots would say… This video on the front nine shows how strong it was. (The green is midway between the white house and left edge of the video). Ball ended up on the left side of the fairway. 🫣 Cc: Jamie Kennedy
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Today was the final day with the Mrs. and our two friends in Scotland… (my trip continues for another 6 days 😬) We finished at Kilspindie today - the perfect course to wrap up our incredible trip. A “wee breeze” as Scots would say… This video on the front nine shows how strong it was. (The green is midway between the white house and left edge of the video). Ball ended up on the left side of the fairway. 🫣 Cc: Jamie Kennedy

John Morton, PGA

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Jake Bauers on last night's play at the plate, where he dislodged the ball out of Cal Raleigh's glove: "I was trying to do the exact same slide that I did in LA two days ago. I was a little bit later to home. He kind of worked in front of me right as I was going to try to dive in. "I saw the replay. I definitely wasn't trying to hit his glove. I was more trying to protect him and me because I didn't want to barrel through him." Video of both plays side by side:
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Jake Bauers on last night's play at the plate, where he dislodged the ball out of Cal Raleigh's glove: "I was trying to do the exact same slide that I did in LA two days ago. I was a little bit later to home. He kind of worked in front of me right as I was going to try to dive in. "I saw the replay. I definitely wasn't trying to hit his glove. I was more trying to protect him and me because I didn't want to barrel through him." Video of both plays side by side:

Jack Stern

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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
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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 просмотров • 7 месяцев назад

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:
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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 просмотров • 7 месяцев назад

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
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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

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save these two free services. they are what i built my Polymarket strategies on, the ones paying me around $10,000 a month. what it looks like day to day: you ask any question about the market in plain words, Claude Code digs through the data and comes back with numbers. you become a quant researcher. 1 - poly_data one command and every Polymarket trade sits on your own disk. who bought, when, at what price, what size, and who was standing on the other side of it. my first sync pulled 3.1 million markets. you can pull apart the edge of any trader on Polymarket you like. first sync runs a few hours, leave it overnight, after that updates land in seconds. 2 - pendulumflow archive this one holds the book itself: what orders were sitting there, at what prices, what size, second by second, on every single market. 288 billion events recorded, and 2.3 billion more coming in every day. i used to pay $200 a month for this kind of data. here you just open it and take it, nothing to sign up for. the front page has ready made questions you copy straight into Claude Code. the project runs on donations, storing and serving this much data costs real money every month. so if you start using it, send the guy something, he is carrying all of it alone. these two will give you what only a handful of people on this market have.
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save these two free services. they are what i built my Polymarket strategies on, the ones paying me around $10,000 a month. what it looks like day to day: you ask any question about the market in plain words, Claude Code digs through the data and comes back with numbers. you become a quant researcher. 1 - poly_data one command and every Polymarket trade sits on your own disk. who bought, when, at what price, what size, and who was standing on the other side of it. my first sync pulled 3.1 million markets. you can pull apart the edge of any trader on Polymarket you like. first sync runs a few hours, leave it overnight, after that updates land in seconds. 2 - pendulumflow archive this one holds the book itself: what orders were sitting there, at what prices, what size, second by second, on every single market. 288 billion events recorded, and 2.3 billion more coming in every day. i used to pay $200 a month for this kind of data. here you just open it and take it, nothing to sign up for. the front page has ready made questions you copy straight into Claude Code. the project runs on donations, storing and serving this much data costs real money every month. so if you start using it, send the guy something, he is carrying all of it alone. these two will give you what only a handful of people on this market have.

may.crypto {🦅}

25,508 просмотров • 11 дней назад

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)
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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

63,191 просмотров • 5 месяцев назад

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

69,592 просмотров • 5 месяцев назад

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

10,814 просмотров • 5 месяцев назад

EVERYONE PROMPTS THE ACTION. ALMOST NOBODY LOCKS THE IDENTITY — WHICH IS WHY TWO-CHARACTER SCENES FALL APART. Two freerunners racing across Tokyo rooftops, eight cuts, corkscrews over a rooftop gap at the end. The parkour is the easy part. Keeping them two separate people who never blend into each other is the part that actually breaks. Here's the full prompt built that way. Attach two reference photos as image_1 and image_2, and the same structure works for any multi-character action piece: FORMAT: 15 seconds, 16:9, 1080p, 8-cut cinematic ultra-advanced parkour footage. CHARACTERS: Two realistic individuals from image_1 and image_2. Use the attached images as absolute character references, and fully maintain the facial features, hairstyles, hair colors, skin textures, body types, height differences, outfits, color schemes, and age appearances of each person across all cuts. No altering into different people, face swaps, outfit changes, hairstyle changes, or mixing of the two individuals' features. SETTING: A sunny modern Japanese city reminiscent of Tokyo, Shibuya, and Yokohama — rooftops, alleys, staircases, railings, pipes, concrete walls. The two protagonists, as equals, race through at high speed running side by side, following, crossing paths, and coordinating. CUTS: 1. (00:00–00:01.60) Low-angle rear tracking. Both accelerate side by side and simultaneously kong vault over separate obstacles. 2. (00:01.60–00:03.40) Front low-angle. One wall runs the left wall, the other the right, then tic-tac to cross in midair and land on opposite rooftops. 3. (00:03.40–00:05.20) Lateral tracking. Consecutive precision jumps, then cat leaps to grab and climb a high wall. 4. (00:05.20–00:07.20) Rooftop tracking. The leader dash vaults, the trailer websters over the gap, then they swap front and back positions. 5. (00:07.20–00:09.20) Overhead moving camera. Both dive roll, then run side by side to speed vault a long railing. 6. (00:09.20–00:11.30) Handheld retreating from the front. One underbars, the other side flips, conquering the obstacle simultaneously. 7. (00:11.30–00:13.20) Drone from diagonal rear above. Both palm spin off left and right walls, kong vault, accelerate into the final jump. 8. (00:13.20–00:15.00) Climax. Both leap a large rooftop gap, each doing a corkscrew, camera circling them in midair as they land on separate rooftop edges — then run side by side into the distance. QUALITY: Live-action film quality. World-championship-level smooth freerunning. Realistic center-of-gravity shifts, muscle movement, natural landing impacts, swaying hair and clothing. Sharp background, natural motion blur only during high-speed movement. PROHIBITED: Facial distortion, altering into different people, face or body swaps, outfit changes, hairstyle changes, body type changes, limb multiplication, duplicates, body fusion, penetration, warping, floating, unnatural landings, anime style, CG style. A few things worth noticing about why it's built this way: The character block does identity work three separate times — the reference images, the "fully maintain" list, and the prohibited list at the end. That redundancy isn't padding; each one closes a different door the model tends to walk through. The prohibited list names the exact failure modes — face swaps, body fusion, limb multiplication. Telling the model what not to do is more effective here than describing what you want, because these are the specific ways two-character scenes collapse. Every cut assigns each person a distinct action — one wall runs left, the other right; one underbars, the other side flips. Giving them separate roles keeps them functionally two people, so the model can't average them into one. And the cuts are individually timed and framed. Long continuous motion is where identity drift creeps in — breaking it into eight discrete shots gives the model less room to blend them. Made in Seedance 2.0.
0:14

EVERYONE PROMPTS THE ACTION. ALMOST NOBODY LOCKS THE IDENTITY — WHICH IS WHY TWO-CHARACTER SCENES FALL APART. Two freerunners racing across Tokyo rooftops, eight cuts, corkscrews over a rooftop gap at the end. The parkour is the easy part. Keeping them two separate people who never blend into each other is the part that actually breaks. Here's the full prompt built that way. Attach two reference photos as image_1 and image_2, and the same structure works for any multi-character action piece: FORMAT: 15 seconds, 16:9, 1080p, 8-cut cinematic ultra-advanced parkour footage. CHARACTERS: Two realistic individuals from image_1 and image_2. Use the attached images as absolute character references, and fully maintain the facial features, hairstyles, hair colors, skin textures, body types, height differences, outfits, color schemes, and age appearances of each person across all cuts. No altering into different people, face swaps, outfit changes, hairstyle changes, or mixing of the two individuals' features. SETTING: A sunny modern Japanese city reminiscent of Tokyo, Shibuya, and Yokohama — rooftops, alleys, staircases, railings, pipes, concrete walls. The two protagonists, as equals, race through at high speed running side by side, following, crossing paths, and coordinating. CUTS: 1. (00:00–00:01.60) Low-angle rear tracking. Both accelerate side by side and simultaneously kong vault over separate obstacles. 2. (00:01.60–00:03.40) Front low-angle. One wall runs the left wall, the other the right, then tic-tac to cross in midair and land on opposite rooftops. 3. (00:03.40–00:05.20) Lateral tracking. Consecutive precision jumps, then cat leaps to grab and climb a high wall. 4. (00:05.20–00:07.20) Rooftop tracking. The leader dash vaults, the trailer websters over the gap, then they swap front and back positions. 5. (00:07.20–00:09.20) Overhead moving camera. Both dive roll, then run side by side to speed vault a long railing. 6. (00:09.20–00:11.30) Handheld retreating from the front. One underbars, the other side flips, conquering the obstacle simultaneously. 7. (00:11.30–00:13.20) Drone from diagonal rear above. Both palm spin off left and right walls, kong vault, accelerate into the final jump. 8. (00:13.20–00:15.00) Climax. Both leap a large rooftop gap, each doing a corkscrew, camera circling them in midair as they land on separate rooftop edges — then run side by side into the distance. QUALITY: Live-action film quality. World-championship-level smooth freerunning. Realistic center-of-gravity shifts, muscle movement, natural landing impacts, swaying hair and clothing. Sharp background, natural motion blur only during high-speed movement. PROHIBITED: Facial distortion, altering into different people, face or body swaps, outfit changes, hairstyle changes, body type changes, limb multiplication, duplicates, body fusion, penetration, warping, floating, unnatural landings, anime style, CG style. A few things worth noticing about why it's built this way: The character block does identity work three separate times — the reference images, the "fully maintain" list, and the prohibited list at the end. That redundancy isn't padding; each one closes a different door the model tends to walk through. The prohibited list names the exact failure modes — face swaps, body fusion, limb multiplication. Telling the model what not to do is more effective here than describing what you want, because these are the specific ways two-character scenes collapse. Every cut assigns each person a distinct action — one wall runs left, the other right; one underbars, the other side flips. Giving them separate roles keeps them functionally two people, so the model can't average them into one. And the cuts are individually timed and framed. Long continuous motion is where identity drift creeps in — breaking it into eight discrete shots gives the model less room to blend them. Made in Seedance 2.0.

Nexlow

114,345 просмотров • 1 месяц назад

♟️CHECKMATE LYRIC ANALYSIS For the people who say “Enhypen need to move away from the vampire concept so they can speak their own truth,” I beg you to read their lyrics. Most of the time, their lyrics are super applicable to their own life too. Checkmate is an example. I picked a few verses that really stood out to me, and I’ll give my own interpretation. ———————— 🎵“We will never die Recklessly dancing on the edge of a cliff We're so blind Act crazier, shout it out louder” —- interpretation —- 📝Given how many people keep telling Enhypen to disband and that they’re nothing. This is their response “we will never die”. They’re going to keep dancing even if they’re on the edge. Even on the edge, they’re going to act crazier, shout louder. They dgaf. ————— 🎵 “We don't need no caution we'll enjoy it We're already on top, don't stop We 'bout to blow it up” —- interpretation —- 📝This is for everyone trying to hold them back. Dictacting they shouldn’t do this or that. “we need to save them!” “They shouldn’t do this!” “They shouldn’t do that.” Nah, they’re telling you they don’t need your caution. This is their life. They enjoy it and they’re about to blow up big. —————- 🎵“Thinking you’ve captured it all would be a mistake One final square, and the whole board turns upside down We’ll strike when everyone lets their guard down” —- interpretation —- 📝 they’re saying “you think you’ve won and you’ve captured the board? Captured us? We have one final move we can make that will turn the game around. We’ll strike when your guard’s down. Again, they’re reemphasizing that this is not the end for them. They haven’t lost yet even if many people think they’re about to lose. ————- 🎵“In front of a world that has its sights set on us, checkmate, checkmate” —- interpretation —- 📝 this one literally means “in a world where people are targeting them” they declared Checkmate. They flipped the board around and they’ve won. Checkmate. —————— Checkmate fits into the vampire now narrative since they are being pursued and hunted. But it also fits their real life story as well. Many people thought it was the end for Enhypen after March, but they flipped the board and came back triumphant and won so many awards and broke records. Categorically, I would call Checkmate their diss track to anyone who ever wished for them to fail, to disband, to leave. Riki sums it up best in Highlight, the song following Checkmate. He raps “We’re still here. We never left.” Enhypen is not going anywhere. They are here to stay and they will win in the end.
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♟️CHECKMATE LYRIC ANALYSIS For the people who say “Enhypen need to move away from the vampire concept so they can speak their own truth,” I beg you to read their lyrics. Most of the time, their lyrics are super applicable to their own life too. Checkmate is an example. I picked a few verses that really stood out to me, and I’ll give my own interpretation. ———————— 🎵“We will never die Recklessly dancing on the edge of a cliff We're so blind Act crazier, shout it out louder” —- interpretation —- 📝Given how many people keep telling Enhypen to disband and that they’re nothing. This is their response “we will never die”. They’re going to keep dancing even if they’re on the edge. Even on the edge, they’re going to act crazier, shout louder. They dgaf. ————— 🎵 “We don't need no caution we'll enjoy it We're already on top, don't stop We 'bout to blow it up” —- interpretation —- 📝This is for everyone trying to hold them back. Dictacting they shouldn’t do this or that. “we need to save them!” “They shouldn’t do this!” “They shouldn’t do that.” Nah, they’re telling you they don’t need your caution. This is their life. They enjoy it and they’re about to blow up big. —————- 🎵“Thinking you’ve captured it all would be a mistake One final square, and the whole board turns upside down We’ll strike when everyone lets their guard down” —- interpretation —- 📝 they’re saying “you think you’ve won and you’ve captured the board? Captured us? We have one final move we can make that will turn the game around. We’ll strike when your guard’s down. Again, they’re reemphasizing that this is not the end for them. They haven’t lost yet even if many people think they’re about to lose. ————- 🎵“In front of a world that has its sights set on us, checkmate, checkmate” —- interpretation —- 📝 this one literally means “in a world where people are targeting them” they declared Checkmate. They flipped the board around and they’ve won. Checkmate. —————— Checkmate fits into the vampire now narrative since they are being pursued and hunted. But it also fits their real life story as well. Many people thought it was the end for Enhypen after March, but they flipped the board and came back triumphant and won so many awards and broke records. Categorically, I would call Checkmate their diss track to anyone who ever wished for them to fail, to disband, to leave. Riki sums it up best in Highlight, the song following Checkmate. He raps “We’re still here. We never left.” Enhypen is not going anywhere. They are here to stay and they will win in the end.

K

18,362 просмотров • 8 дней назад

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. ☄️
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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

78,785 просмотров • 2 месяцев назад

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.
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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

36,100 просмотров • 2 месяцев назад

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.
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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 просмотров • 7 месяцев назад

🚀 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
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🚀 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

128,204 просмотров • 2 лет назад

the house always priced weather off a real model. you had a weather app. that gap was the whole game. the desks settling temperature markets ran physics. you ran "feels like 78°." they were never guessing. you always were. today that ends with minmax pro — and the edge is already live. denver: a thunderstorm 200 km west. our outflow detector has flagged the cold pool — about −5°F landing in an hour. the crowd is still pricing yesterday's number. the model already moved. new york, same day: public forecast says 78°. our model says 81°. the 81° bucket sits at 0.05 because nobody sees it coming. it settles 81°. 0.05 → 1.00 = 20×. illustrative — but the temperature matched our model, not the market. on temperature markets the best forecast wins. sharper than the crowd = mispriced buckets you can take. that is the whole game. here is what is reading the sky for you. say it plainly: a hybrid ml system forecasting temperature at the 11 largest us airports — chicago, atlanta, miami, houston, denver, seattle, san francisco, los angeles, new york, dallas, austin — every horizon from 1 to 24 hours out. not one model. a stack. · base ensemble → 3 lightgbm models (synoptic · convective · base) blended with per-hour-per-horizon weights · detector-boosters → 24 specialist experts per airport, each trained on one phenomenon — front (the sharp swing) · cloud (solar heating blocked) · fog (the morning stall) · outflow (a distant storm's cold pool crashing in) · heuristic physical correctors on the short horizons h+1..h+6 24 detector-experts. per airport. one knows a front passing. one knows shadow cooling as cloud builds. one knows fog and the minute it burns off. one watches a storm 200 km west and knows its outflow lands in an hour and pulls the temp down ~5°F. minmax
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the house always priced weather off a real model. you had a weather app. that gap was the whole game. the desks settling temperature markets ran physics. you ran "feels like 78°." they were never guessing. you always were. today that ends with minmax pro — and the edge is already live. denver: a thunderstorm 200 km west. our outflow detector has flagged the cold pool — about −5°F landing in an hour. the crowd is still pricing yesterday's number. the model already moved. new york, same day: public forecast says 78°. our model says 81°. the 81° bucket sits at 0.05 because nobody sees it coming. it settles 81°. 0.05 → 1.00 = 20×. illustrative — but the temperature matched our model, not the market. on temperature markets the best forecast wins. sharper than the crowd = mispriced buckets you can take. that is the whole game. here is what is reading the sky for you. say it plainly: a hybrid ml system forecasting temperature at the 11 largest us airports — chicago, atlanta, miami, houston, denver, seattle, san francisco, los angeles, new york, dallas, austin — every horizon from 1 to 24 hours out. not one model. a stack. · base ensemble → 3 lightgbm models (synoptic · convective · base) blended with per-hour-per-horizon weights · detector-boosters → 24 specialist experts per airport, each trained on one phenomenon — front (the sharp swing) · cloud (solar heating blocked) · fog (the morning stall) · outflow (a distant storm's cold pool crashing in) · heuristic physical correctors on the short horizons h+1..h+6 24 detector-experts. per airport. one knows a front passing. one knows shadow cooling as cloud builds. one knows fog and the minute it burns off. one watches a storm 200 km west and knows its outflow lands in an hour and pulls the temp down ~5°F. minmax

minmax

12,691 просмотров • 3 месяцев назад