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Remarkable!!! Ben Shelton saves multiple match points before taking an epic second set 7-6(14) against Lehecka. BOSS OPEN | #BOSSOPEN

ATP Tour

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Full steam ahead 🚂 Luciano Darderi saves a set point to take the opener 7-6(6) against Ugo Carabelli. Croatia Open Umag | #CroatiaOpen

Full steam ahead 🚂 Luciano Darderi saves a set point to take the opener 7-6(6) against Ugo Carabelli. Croatia Open Umag | #CroatiaOpen

ATP Tour

16,810 views • 1 year ago

As the Connecticut Huskies attempt to win another national championship tonight against Michigan, Alabama Men’s Basketball fans still hear the echos of two years ago when the Crimson Tide finally crashed college basketball’s biggest event for the first time on April 6, 2024. Inside State Farm Stadium in Glendale, Ariz., the Crimson Tide’s breakthrough season reached its crescendo in its first Final Four appearance against the Huskies. As a No. 4 seed coming out of the West Region, the magical run ended with an 86-72 loss, but not before the Crimson Tide proved it belonged on the grandest stage. Mark Sears led the way with 24 points, five rebounds and three assists, continuing his March brilliance. Grant Nelson delivered a monster effort with 19 points and a season-best 15 rebounds for a double-double, while Aaron Estrada added 13 points as Alabama fought to keep within striking distance deep into the second half. Stephon Castle scored 21 points, Donovan Clingan had 18 and Tristen Newton controlled the game with 12 points and nine assists. When Alabama clawed back to tie it in the second half, UConn answered with a decisive run. “We got this program to its first Final Four, and I’m unbelievably proud of these guys,” Alabama head coach Nate Oats said. “We just went up against the best team in the country and they showed it.” Two years later, as Connecticut chases another title, that Saturday night in Glendale stands as more than a final score in Alabama history. It redefined the ceiling of a program and created an expectation to get back.

As the Connecticut Huskies attempt to win another national championship tonight against Michigan, Alabama Men’s Basketball fans still hear the echos of two years ago when the Crimson Tide finally crashed college basketball’s biggest event for the first time on April 6, 2024. Inside State Farm Stadium in Glendale, Ariz., the Crimson Tide’s breakthrough season reached its crescendo in its first Final Four appearance against the Huskies. As a No. 4 seed coming out of the West Region, the magical run ended with an 86-72 loss, but not before the Crimson Tide proved it belonged on the grandest stage. Mark Sears led the way with 24 points, five rebounds and three assists, continuing his March brilliance. Grant Nelson delivered a monster effort with 19 points and a season-best 15 rebounds for a double-double, while Aaron Estrada added 13 points as Alabama fought to keep within striking distance deep into the second half. Stephon Castle scored 21 points, Donovan Clingan had 18 and Tristen Newton controlled the game with 12 points and nine assists. When Alabama clawed back to tie it in the second half, UConn answered with a decisive run. “We got this program to its first Final Four, and I’m unbelievably proud of these guys,” Alabama head coach Nate Oats said. “We just went up against the best team in the country and they showed it.” Two years later, as Connecticut chases another title, that Saturday night in Glendale stands as more than a final score in Alabama history. It redefined the ceiling of a program and created an expectation to get back.

Tide Hoops History

31,324 views • 4 months ago

Polymarket pays me $400 a day because it's slower than Binance by 2 seconds. And this is just the beginning - while I was writing this post, the bot made another $40. Let me explain. I built a bot on OpenClaw. It monitors Binance 24/7. Sees a sharp impulse - switches to high attention mode. If price doesn't snap back within a second (the impulse could be a squeeze) - it opens a trade on Polymarket in the same direction. Why this works. When BTC moves sharply, Polymarket odds don't have time to adjust. These windows appear every day - especially now, with elevated volatility across financial markets. I usually enter when the gap is 200+ points. Odds are still stale - I capture the spread before it closes. Aggressive mode - spreads from 100 points, significantly more trades per day. $20 per trade. 10-30 trades a day. Morning. Coffee. Open the laptop. The bot closed 14 trades overnight. Another good day

Polymarket pays me $400 a day because it's slower than Binance by 2 seconds. And this is just the beginning - while I was writing this post, the bot made another $40. Let me explain. I built a bot on OpenClaw. It monitors Binance 24/7. Sees a sharp impulse - switches to high attention mode. If price doesn't snap back within a second (the impulse could be a squeeze) - it opens a trade on Polymarket in the same direction. Why this works. When BTC moves sharply, Polymarket odds don't have time to adjust. These windows appear every day - especially now, with elevated volatility across financial markets. I usually enter when the gap is 200+ points. Odds are still stale - I capture the spread before it closes. Aggressive mode - spreads from 100 points, significantly more trades per day. $20 per trade. 10-30 trades a day. Morning. Coffee. Open the laptop. The bot closed 14 trades overnight. Another good day

may.crypto {🦅}

70,267 views • 5 months ago

มาโรงเรียนจะได้ความรู้ แต่ถ้าพี่มาหาหนูจะได้ความรัก📚 Valentine ไหนจะเท่า Valentine ที่มีหลิงออม🎉 ในกิจกรรม LingOrm Love At Firsst Sightคลาสเรียนพิเศษ แบบใกล้ชิด แบบPrivate กับ บรรยากาศสุดคิ้ว พร้อมกิจกรรมแน่นๆเต็มเวลา✨ List Class เอาไว้แล้วมาสร้างโมเม้นต์ใหม่ๆไปด้วยกัน 🧸 LOVE START HERE 🧸 ART AND CRAFT 🧸 LOVE HISTORY (Private Class 3) 🧸SCENT SCIENCE (Private Class 2) 🧸SOCIAL STUDY (Private Class1) 🧸 SINGING CLASS มาเจอกันให้ได้เลยน้าาา 🎈 📍 Bangkok Prep International School 📅 14 Feb 2026 😍ลงทะเบียน สะสมpoint ตั้งแต่วันนี้ - 31 ม.ค. 69 เท่านั้น เพียงช้อป Smooth E ครบ 899 บาท = 1 Point ผ่านช่องทาง หน้าร้าน 7-Eleven / 7-Eleven Delivery / 7-Eleven All Online เท่านั้น 💜ช้อปสินค้าที่ร่วมรายการ : 📌 หมายเหตุ 1. ยอดสะสมคำนวณจาก ยอดซื้อสุทธิ หลังหักส่วนลดและค่าจัดส่ง เท่านั้น 2. ไม่สามารถรวมหลายใบเสร็จ เพื่อให้ถึงยอด 899 บาทได้ หลังปิดลงทะเบียนใบเสร็จ 3. ยอดส่วนต่างจากการคำนวณ Point ในแต่ละใบเสร็จ จะถูกนำมารวมเพื่อคำนวณ Point อีกครั้ง หากครบ 899 บาท ------------------------------------------------------- 🩷 School gates are open — let’s find an unforgettable first love. No Valentine’s Day compares to one spent with LingAom 🎉 Join LingOrm Love At First Sight, an exclusive private class experience filled with cozy vibes and non-stop activities ✨ 📚 Save the class list & create new memories together: 🧸 LOVE START HERE 🧸 ART AND CRAFT 🧸 LOVE HISTORY (Private Class 3) 🧸 SCENT SCIENCE (Private Class 2) 🧸 SOCIAL STUDY (Private Class 1) 🧸 SINGING CLASS Let’s meet and make it happen 🎈 📍 Bangkok Prep International School 📅 14 Feb 2026 😍 Register & collect points now – Jan 31, 2026 only Simply shop Smooth E ✨ Spend 899 THB = 1 Point ✨ Valid via 7-Eleven stores / 7-Eleven Delivery / 7-Eleven All Online only 💜 Shop participating products: 👉 📌 Notes: 1️⃣ Points are calculated from the net purchase amount after discounts and shipping fees. 2️⃣ Multiple receipts cannot be combined to reach 899 THB after receipt registration closes. 3️⃣ Any remaining amount from each receipt will be carried forward and recalculated once it reaches 899 THB. #SmoothExLingOrm #หลิงออม #LingOrm #SmoothExLingOrmLoveAtFirstSight

มาโรงเรียนจะได้ความรู้ แต่ถ้าพี่มาหาหนูจะได้ความรัก📚 Valentine ไหนจะเท่า Valentine ที่มีหลิงออม🎉 ในกิจกรรม LingOrm Love At Firsst Sightคลาสเรียนพิเศษ แบบใกล้ชิด แบบPrivate กับ บรรยากาศสุดคิ้ว พร้อมกิจกรรมแน่นๆเต็มเวลา✨ List Class เอาไว้แล้วมาสร้างโมเม้นต์ใหม่ๆไปด้วยกัน 🧸 LOVE START HERE 🧸 ART AND CRAFT 🧸 LOVE HISTORY (Private Class 3) 🧸SCENT SCIENCE (Private Class 2) 🧸SOCIAL STUDY (Private Class1) 🧸 SINGING CLASS มาเจอกันให้ได้เลยน้าาา 🎈 📍 Bangkok Prep International School 📅 14 Feb 2026 😍ลงทะเบียน สะสมpoint ตั้งแต่วันนี้ - 31 ม.ค. 69 เท่านั้น เพียงช้อป Smooth E ครบ 899 บาท = 1 Point ผ่านช่องทาง หน้าร้าน 7-Eleven / 7-Eleven Delivery / 7-Eleven All Online เท่านั้น 💜ช้อปสินค้าที่ร่วมรายการ : 📌 หมายเหตุ 1. ยอดสะสมคำนวณจาก ยอดซื้อสุทธิ หลังหักส่วนลดและค่าจัดส่ง เท่านั้น 2. ไม่สามารถรวมหลายใบเสร็จ เพื่อให้ถึงยอด 899 บาทได้ หลังปิดลงทะเบียนใบเสร็จ 3. ยอดส่วนต่างจากการคำนวณ Point ในแต่ละใบเสร็จ จะถูกนำมารวมเพื่อคำนวณ Point อีกครั้ง หากครบ 899 บาท ------------------------------------------------------- 🩷 School gates are open — let’s find an unforgettable first love. No Valentine’s Day compares to one spent with LingAom 🎉 Join LingOrm Love At First Sight, an exclusive private class experience filled with cozy vibes and non-stop activities ✨ 📚 Save the class list & create new memories together: 🧸 LOVE START HERE 🧸 ART AND CRAFT 🧸 LOVE HISTORY (Private Class 3) 🧸 SCENT SCIENCE (Private Class 2) 🧸 SOCIAL STUDY (Private Class 1) 🧸 SINGING CLASS Let’s meet and make it happen 🎈 📍 Bangkok Prep International School 📅 14 Feb 2026 😍 Register & collect points now – Jan 31, 2026 only Simply shop Smooth E ✨ Spend 899 THB = 1 Point ✨ Valid via 7-Eleven stores / 7-Eleven Delivery / 7-Eleven All Online only 💜 Shop participating products: 👉 📌 Notes: 1️⃣ Points are calculated from the net purchase amount after discounts and shipping fees. 2️⃣ Multiple receipts cannot be combined to reach 899 THB after receipt registration closes. 3️⃣ Any remaining amount from each receipt will be carried forward and recalculated once it reaches 899 THB. #SmoothExLingOrm #หลิงออม #LingOrm #SmoothExLingOrmLoveAtFirstSight

Smooth E Official

44,298 views • 6 months ago

IT'S MONDAY MORNING. YOU'RE ASLEEP Your trading agent has already opened three positions, adjusted risk exposure twice, and closed a profitable trade. Before you reached for your phone. $100,000 simulated capital. 72 hours of full autonomy. $6,000 prize pool. Zero coding required > no-code agent builder, if you can describe how you think about markets, Bloome builds the agent > four specialized agents running simultaneously: research, technical analysis, risk management, execution > scoring rewards discipline, a 7% return with clean risk management beats a 14% return with chaos > 1,000 invite slots, competition activates at 50 participants, the field is still small right now > first place: $3,000 · second: $2,000 · third: $1,000 · payouts go out June 12 this isn't a trading bot competition it's a test of whether you can think systematically about markets and encode that thinking into an autonomous system the old model: sit at a screen, make emotional decisions, compete against algorithms that never sleep the new model: build the algorithm → let it run → go to sleep

IT'S MONDAY MORNING. YOU'RE ASLEEP Your trading agent has already opened three positions, adjusted risk exposure twice, and closed a profitable trade. Before you reached for your phone. $100,000 simulated capital. 72 hours of full autonomy. $6,000 prize pool. Zero coding required > no-code agent builder, if you can describe how you think about markets, Bloome builds the agent > four specialized agents running simultaneously: research, technical analysis, risk management, execution > scoring rewards discipline, a 7% return with clean risk management beats a 14% return with chaos > 1,000 invite slots, competition activates at 50 participants, the field is still small right now > first place: $3,000 · second: $2,000 · third: $1,000 · payouts go out June 12 this isn't a trading bot competition it's a test of whether you can think systematically about markets and encode that thinking into an autonomous system the old model: sit at a screen, make emotional decisions, compete against algorithms that never sleep the new model: build the algorithm → let it run → go to sleep

Shadow Nick

29,466 views • 2 months ago

how to grow your product from $0 to $10k MRR with AI influencers (using GPT Images 2.0 and Seedance 2.0): > start on Pinterest, save 15-20 reference bodies that fit your niche, after body type, lighting, styling, vibe, the raw material for an avatar you'll run for months > drop the refs into GPT Images 2.0 on thinking mode, have it extract the visual profile and generate a character sheet (front, side, 3-quarter, locked outfit, locked lighting), this sheet is the only asset that carries across every clip you ever ship > feed it into Higgsfield marketing studio as your avatar > paste your product link, prompt a 15-second UGC for tiktok, Seedance hands back a video with perfect lipsync and native audio in one pass > repeat that whole workflow per influencer, post daily per account, slip a product pitch in every 5-7 uploads, done and yes, you can literally create an army of influencers, but you'll need a proper system... lemme show you how it's done you need to factory reset an iphone, here's how to set it up: > set language and region to your target country (most likely US) > fresh gmail and fresh apple ID per device > match the app store region > run a paid dedicated-IP VPN > 2-3 accounts per device max, warm each one 1-2 days before the first post > VPN on at all times this is how you nail distribution at scale for cheap

Machina

21,283 views • 3 months ago

$Watch this 17-second clip carefully. What you are about to see is not what it claims to be. For over 25 years I’ve worked as a specialist forensic analyst, both within the intelligence world as well as private security sector. So I’m going to show you how forensic analysis really works to uncover the truth about what we see put in front of us. TRT World, Turkish state media, released this video claiming it shows an Israeli airstrike on a residential building in Al Zaitoun, Gaza on January 5, 2025. The dramatic footage with emotional Arabic overlay text was designed to generate instant outrage. While obvious Pallywood often uses fake blood and staged injuries, this one is more sophisticated. It relies on perfect timing and internal preparation. Here is the second-by-second breakdown: Seconds 0 to 1: The camera is already perfectly framed on the building. White smoke begins venting from multiple windows simultaneously. At around the one-second mark, a bright red dot appears on an upper window for a fraction of a second right before the blast. This is the trigger light that lights up the instant before an explosive charge is detonated. It also acts as a marker for the cameraman. No incoming missile, no external impact flash. Seconds 1 to 2: A massive dark smoke plume erupts violently outward and upward. Debris is ejected. When a real missile strikes a building, you typically see large flames from the missile’s fuel and the force ripping apart major sections of concrete, producing large chunks of debris. Here, we see no significant flames and only small debris mixed with heavy dust, exactly what you would expect from a small internal explosive device designed mainly to blow out windows and create a dramatic smoke plume. The explosion originates from inside the building and expands symmetrically. Seconds 2 to 4: The smoke cloud balloons dramatically. The cameraman, already positioned and recording, smoothly tilts up to capture the most cinematic part of the plume. Seconds 4 to 6: The camera tilts down to street level. A girl in bright pink walks across the dusty area almost casually, not showing the expected panic. Seconds 6 to 9: Civilians appear relatively composed. Then the man in the red hoodie runs in, stops dramatically, and points upward while shouting in a theatrical manner. Seconds 9 to 17: People mill about with surprising calm as dust swirls. The camera work remains composed enough to capture the drama while TRT World adds the emotional propaganda text. This was not an airstrike. It was a carefully timed internal detonation, triggered from within (signaled by the red dot), filmed by someone who knew exactly when it would happen. The internal multi-window venting, perfect camera placement, and staged reactions all confirm it was manufactured for propaganda. If you value the truth and appreciate such detailed analyses, please share. Real tragedy does not need this level of staging. The information war continues.$

Watch this 17-second clip carefully. What you are about to see is not what it claims to be. For over 25 years I’ve worked as a specialist forensic analyst, both within the intelligence world as well as private security sector. So I’m going to show you how forensic analysis really works to uncover the truth about what we see put in front of us. TRT World, Turkish state media, released this video claiming it shows an Israeli airstrike on a residential building in Al Zaitoun, Gaza on January 5, 2025. The dramatic footage with emotional Arabic overlay text was designed to generate instant outrage. While obvious Pallywood often uses fake blood and staged injuries, this one is more sophisticated. It relies on perfect timing and internal preparation. Here is the second-by-second breakdown: Seconds 0 to 1: The camera is already perfectly framed on the building. White smoke begins venting from multiple windows simultaneously. At around the one-second mark, a bright red dot appears on an upper window for a fraction of a second right before the blast. This is the trigger light that lights up the instant before an explosive charge is detonated. It also acts as a marker for the cameraman. No incoming missile, no external impact flash. Seconds 1 to 2: A massive dark smoke plume erupts violently outward and upward. Debris is ejected. When a real missile strikes a building, you typically see large flames from the missile’s fuel and the force ripping apart major sections of concrete, producing large chunks of debris. Here, we see no significant flames and only small debris mixed with heavy dust, exactly what you would expect from a small internal explosive device designed mainly to blow out windows and create a dramatic smoke plume. The explosion originates from inside the building and expands symmetrically. Seconds 2 to 4: The smoke cloud balloons dramatically. The cameraman, already positioned and recording, smoothly tilts up to capture the most cinematic part of the plume. Seconds 4 to 6: The camera tilts down to street level. A girl in bright pink walks across the dusty area almost casually, not showing the expected panic. Seconds 6 to 9: Civilians appear relatively composed. Then the man in the red hoodie runs in, stops dramatically, and points upward while shouting in a theatrical manner. Seconds 9 to 17: People mill about with surprising calm as dust swirls. The camera work remains composed enough to capture the drama while TRT World adds the emotional propaganda text. This was not an airstrike. It was a carefully timed internal detonation, triggered from within (signaled by the red dot), filmed by someone who knew exactly when it would happen. The internal multi-window venting, perfect camera placement, and staged reactions all confirm it was manufactured for propaganda. If you value the truth and appreciate such detailed analyses, please share. Real tragedy does not need this level of staging. The information war continues.

Mor Edge Insight

67,545 views • 2 months ago

🔥Founders & Buildings NFT Items Sales on Base!🔥 100K Players - done. It's time to start implementing the GameAI narrative. Two NFT drops. The foundation of an open economy. This is access to in-game ownership that matters. From Founders, drawing power from every economic stream, to Buildings, reshaping how you win. For those who see beyond the game. Founders Items & Building Items grant bonus Activity Points, securing an allocation in the $OWB token airdrop at TGE. Any unminted supply will be burned. 🔗 All details & mint access: 👉 👉 Why you should pay attention? - Fastest-growing and the most addictive GameFi on Base. - Key partner of Privy, onboarding 100,000+ user base projects. - Pre-seed 7-figure investment led by V3V Ventures – most insightful Web3 fund. - Seed round in progress. - AX1 grant: 6-figure funding. - Strategic grow partnerships: Trust Wallet & . - AI Manifesto: Redefining AI-powered GameAI 🗓️ Mint Schedule 🔸 Founders NFT – March 18 | 14:00 UTC 🎟️ WL Round: 3h ⏳ | Public: 24h or sold out 💰 1000 Supply | $1000 each 🤝Community: 700 📊 Pre-sale acquired: 258 | Treasury pre-mint: 42 📈 Trading: Instant on top marketplaces 🔍 Reveal: 24h after trading starts 📜 WL Access: ✔️ Discord roles: Veteran, Shadow Allies, Early Settler ✔️ Pre-sale buyers ✔️ AX1 community (Towns chat). ✔️ $TWT holders (1000+ balance) ✔️ Top 10,000 Activity Points leaderboard 🔹 Buildings NFT – March 19 | 17:00 UTC 🎟️ WL Round: 3h ⏳ | Public: 24h or sold out 🚀 📦5000 Supply | $50 each 🤝Community: 4500 📊 Treasury: 500 📈 Trading: Instant on top marketplaces 🔍 Reveal: 24h after trading starts 📜 WL Access: ✔️ All Discord role holders – If you have any role, you’re in. ✔️ All Founders NFT holders – pre-sale & public. ✔️ AX1 community (Towns chat). ✔️ Collab partner allowlist. ✔️ TWT holders (50+ balance). ✔️ Top 50,000 Activity Points leaderboard. ✔️ Holders of Pirate Nation, King of Destiny, Fableborne NFTs. ✔️ 50+ on-chain bonus claims in-game. ⚠️ This is it. No second chances. If you want in—act. 🕒 March 18-19 – MARK YOUR CALENDARS. 💥

🔥Founders & Buildings NFT Items Sales on Base!🔥 100K Players - done. It's time to start implementing the GameAI narrative. Two NFT drops. The foundation of an open economy. This is access to in-game ownership that matters. From Founders, drawing power from every economic stream, to Buildings, reshaping how you win. For those who see beyond the game. Founders Items & Building Items grant bonus Activity Points, securing an allocation in the $OWB token airdrop at TGE. Any unminted supply will be burned. 🔗 All details & mint access: 👉 👉 Why you should pay attention? - Fastest-growing and the most addictive GameFi on Base. - Key partner of Privy, onboarding 100,000+ user base projects. - Pre-seed 7-figure investment led by V3V Ventures – most insightful Web3 fund. - Seed round in progress. - AX1 grant: 6-figure funding. - Strategic grow partnerships: Trust Wallet & . - AI Manifesto: Redefining AI-powered GameAI 🗓️ Mint Schedule 🔸 Founders NFT – March 18 | 14:00 UTC 🎟️ WL Round: 3h ⏳ | Public: 24h or sold out 💰 1000 Supply | $1000 each 🤝Community: 700 📊 Pre-sale acquired: 258 | Treasury pre-mint: 42 📈 Trading: Instant on top marketplaces 🔍 Reveal: 24h after trading starts 📜 WL Access: ✔️ Discord roles: Veteran, Shadow Allies, Early Settler ✔️ Pre-sale buyers ✔️ AX1 community (Towns chat). ✔️ $TWT holders (1000+ balance) ✔️ Top 10,000 Activity Points leaderboard 🔹 Buildings NFT – March 19 | 17:00 UTC 🎟️ WL Round: 3h ⏳ | Public: 24h or sold out 🚀 📦5000 Supply | $50 each 🤝Community: 4500 📊 Treasury: 500 📈 Trading: Instant on top marketplaces 🔍 Reveal: 24h after trading starts 📜 WL Access: ✔️ All Discord role holders – If you have any role, you’re in. ✔️ All Founders NFT holders – pre-sale & public. ✔️ AX1 community (Towns chat). ✔️ Collab partner allowlist. ✔️ TWT holders (50+ balance). ✔️ Top 50,000 Activity Points leaderboard. ✔️ Holders of Pirate Nation, King of Destiny, Fableborne NFTs. ✔️ 50+ on-chain bonus claims in-game. ⚠️ This is it. No second chances. If you want in—act. 🕒 March 18-19 – MARK YOUR CALENDARS. 💥

Clash of Coins

2,475,743 views • 1 year ago

50 things to do instead of wasting another year: 1. wake up at the same time every day 2. track every expense for 30 days 3. cut one useless monthly subscription 4. build an emergency fund (first 1000) 5. learn one high-income skill 6. read 10 non-fiction books 7. delete tiktok and instagram for 30 days 8. train your body 3x per week 9. fix your sleep schedule 10. learn basic personal finance 11. start journaling daily 12. build a simple website or portfolio 13. learn how taxes work in your country 14. stop buying things to impress others 15. build one income stream outside your job 16. learn sales fundamentals 17. learn copywriting basics 18. improve your communication skills 19. track your time for one full week 20. cut processed food 21. learn to cook 5 basic meals 22. walk 8000–10000 steps daily 23. set clear 1-year goals 24. set clear 5-year goals 25. build discipline before motivation 26. network intentionally 27. learn how algorithms work (X, youtube) 28. build a morning routine 29. build an evening shutdown routine 30. stop complaining 31. stop blaming circumstances 32. learn to sit alone without stimulation 33. audit who you spend time with 34. learn basic investing principles 35. save before you spend 36. learn to say no 37. learn negotiation basics 38. improve posture and body language 39. learn deep focus (no multitasking) 40. build something small and finish it 41. document progress instead of flexing results 42. stop chasing trends 43. build consistency over intensity 44. learn stress management 45. learn delayed gratification 46. take responsibility for outcomes 47. reduce digital noise 48. build a simple life system 49. measure progress weekly 50. repeat for 365 days

50 things to do instead of wasting another year: 1. wake up at the same time every day 2. track every expense for 30 days 3. cut one useless monthly subscription 4. build an emergency fund (first 1000) 5. learn one high-income skill 6. read 10 non-fiction books 7. delete tiktok and instagram for 30 days 8. train your body 3x per week 9. fix your sleep schedule 10. learn basic personal finance 11. start journaling daily 12. build a simple website or portfolio 13. learn how taxes work in your country 14. stop buying things to impress others 15. build one income stream outside your job 16. learn sales fundamentals 17. learn copywriting basics 18. improve your communication skills 19. track your time for one full week 20. cut processed food 21. learn to cook 5 basic meals 22. walk 8000–10000 steps daily 23. set clear 1-year goals 24. set clear 5-year goals 25. build discipline before motivation 26. network intentionally 27. learn how algorithms work (X, youtube) 28. build a morning routine 29. build an evening shutdown routine 30. stop complaining 31. stop blaming circumstances 32. learn to sit alone without stimulation 33. audit who you spend time with 34. learn basic investing principles 35. save before you spend 36. learn to say no 37. learn negotiation basics 38. improve posture and body language 39. learn deep focus (no multitasking) 40. build something small and finish it 41. document progress instead of flexing results 42. stop chasing trends 43. build consistency over intensity 44. learn stress management 45. learn delayed gratification 46. take responsibility for outcomes 47. reduce digital noise 48. build a simple life system 49. measure progress weekly 50. repeat for 365 days

alexei

17,479 views • 12 days ago

🚨12 HOUR NEWS RECAP 1.⁠ Russia pushed back against accusations they interfered in the recent Georgian elections, saying, "There are attempts to interfere, but not from Russia's side." 2.⁠ The U.S is running out of air-defense missiles as conflicts intensify in the Middle East and Ukraine, raising concerns about its readiness for a potential Pacific conflict. 3.⁠ A man died after a Hezbollah rocket struck the northern Israeli town of Ma'alot-Tarshiha. 4.⁠ Steve Bannon was released from prison one week before the U.S election. 5.⁠ The Houthis claimed responsibility for a drone that exploded in an open area in the southern coastal city of Ashkelon. There were no injuries in the attack. 6.⁠ Following the assassination of Hassan Nasrallah in September, Hezbollah has appointed his deputy, Naim Qassem, as their new leader. 7.⁠ The China Manned Space Agency (CMSA) released the latest design for the spacesuit their astronauts will wear on a mission to the Moon, scheduled to take place by 2030. 8.⁠ After it appeared that YouTube was shadow-banning Joe Rogan's interview with Trump, making it difficult for people to search for it, Joe uploaded it to X. Within a few hours, it racked up millions of views. 9.⁠ As Kim Jong Un's relationship with Putin strengthens, North Korea is preparing to launch another military satellite with technological help from Russia. 10.⁠ Biden cast his ballot early, showing his ID before voting, which led people to question why the Dems are so against voter ID checks.

🚨12 HOUR NEWS RECAP 1.⁠ Russia pushed back against accusations they interfered in the recent Georgian elections, saying, "There are attempts to interfere, but not from Russia's side." 2.⁠ The U.S is running out of air-defense missiles as conflicts intensify in the Middle East and Ukraine, raising concerns about its readiness for a potential Pacific conflict. 3.⁠ A man died after a Hezbollah rocket struck the northern Israeli town of Ma'alot-Tarshiha. 4.⁠ Steve Bannon was released from prison one week before the U.S election. 5.⁠ The Houthis claimed responsibility for a drone that exploded in an open area in the southern coastal city of Ashkelon. There were no injuries in the attack. 6.⁠ Following the assassination of Hassan Nasrallah in September, Hezbollah has appointed his deputy, Naim Qassem, as their new leader. 7.⁠ The China Manned Space Agency (CMSA) released the latest design for the spacesuit their astronauts will wear on a mission to the Moon, scheduled to take place by 2030. 8.⁠ After it appeared that YouTube was shadow-banning Joe Rogan's interview with Trump, making it difficult for people to search for it, Joe uploaded it to X. Within a few hours, it racked up millions of views. 9.⁠ As Kim Jong Un's relationship with Putin strengthens, North Korea is preparing to launch another military satellite with technological help from Russia. 10.⁠ Biden cast his ballot early, showing his ID before voting, which led people to question why the Dems are so against voter ID checks.

Mario Nawfal

17,443,946 views • 1 year ago

Exactly. While this is true, it’s also irrelevant in the grand scheme of things. Ross was at fault, period. Here’s why: First off, it’s against DHS policy & training for an officer to approach a vehicle from the front in this situation, and this “officer-induced jeopardy” negates the officers use of force claim and puts him at fault, period. There’s no debate on this as video evidence from multiple sources clearly show Ross stopping in front of her vehicle, and then taking the time to shift his phone from his right hand to his left so he can draw his weapon…BEFORE she even started moving. THIS is simply reality, and the conversation should end here. Second, it’s against DHS Use of Deadly Force policy (which is codified law) to fire at a moving vehicle that doesn’t pose imminent danger to officers, and even if they ARE in danger, it mandates deescalation before using deadly force, which EXPRESSLY states simply “moving out of the way” of a vehicle as a correct course of action before using deadly force (see attached doc below). Third, there is already well-established legal precedent governing these EXACT types of situations, and this officer would likely be found guilty by any jury in the U.S. For example: Adam’s vs. Speers (2020): “Once Speers was no longer in the path of the vehicle, the justification for the use of deadly force ended.” Orn vs. City of Tacoma (2019): “A reasonable jury could conclude that once Orn was no longer in the car’s trajectory, the threat of serious physical harm to him was eliminated.” Cordova vs Aragon (2009): “Where the officer had moved out of the way of the oncoming vehicle, the use of deadly force was not justified.” Villanueva vs. Cali (2021): “a reasonable jury could conclude that the Officers used excessive force, because they lacked an objectively reasonable basis to fear for their own safety, as they could simply have stepped back or to the side to avoid being injured.” Fifth, the videos/pics below CLEARLY show the officer was NOT in immediate danger, and the woman was moving away from him when he fired his FIRST shot when he was already clear to the left of the vehicle, and he fired the second & third shots point-blank into her face from the SIDE of the vehicle as she passed. That alone is enough to send him to prison, even if his first shot was somehow inexplicably deemed to be justified.

Exactly. While this is true, it’s also irrelevant in the grand scheme of things. Ross was at fault, period. Here’s why: First off, it’s against DHS policy & training for an officer to approach a vehicle from the front in this situation, and this “officer-induced jeopardy” negates the officers use of force claim and puts him at fault, period. There’s no debate on this as video evidence from multiple sources clearly show Ross stopping in front of her vehicle, and then taking the time to shift his phone from his right hand to his left so he can draw his weapon…BEFORE she even started moving. THIS is simply reality, and the conversation should end here. Second, it’s against DHS Use of Deadly Force policy (which is codified law) to fire at a moving vehicle that doesn’t pose imminent danger to officers, and even if they ARE in danger, it mandates deescalation before using deadly force, which EXPRESSLY states simply “moving out of the way” of a vehicle as a correct course of action before using deadly force (see attached doc below). Third, there is already well-established legal precedent governing these EXACT types of situations, and this officer would likely be found guilty by any jury in the U.S. For example: Adam’s vs. Speers (2020): “Once Speers was no longer in the path of the vehicle, the justification for the use of deadly force ended.” Orn vs. City of Tacoma (2019): “A reasonable jury could conclude that once Orn was no longer in the car’s trajectory, the threat of serious physical harm to him was eliminated.” Cordova vs Aragon (2009): “Where the officer had moved out of the way of the oncoming vehicle, the use of deadly force was not justified.” Villanueva vs. Cali (2021): “a reasonable jury could conclude that the Officers used excessive force, because they lacked an objectively reasonable basis to fear for their own safety, as they could simply have stepped back or to the side to avoid being injured.” Fifth, the videos/pics below CLEARLY show the officer was NOT in immediate danger, and the woman was moving away from him when he fired his FIRST shot when he was already clear to the left of the vehicle, and he fired the second & third shots point-blank into her face from the SIDE of the vehicle as she passed. That alone is enough to send him to prison, even if his first shot was somehow inexplicably deemed to be justified.

Notorious PJB

18,329 views • 6 months ago

We found a flaw in Polymarket that can’t be patched. Then we built the most powerful bot of the World Cup around it. Here’s the flaw: their orderbook will always be slower than the pitch. When a goal, red card, or penalty hits, pro feeds (Sportradar, Opta, ScoutingFeed) register it in 200-500ms. Polymarket takes 2 to 8 seconds to reprice. For those few seconds the book is quoting a score that no longer exists. No amount of engineering closes that gap the event happens in the physical world before any oracle can confirm it on-chain. The engine detects the event, recalculates fair value, and fires via Jito bundles before the book catches up. In at the old price, out at the new. The match outcome is irrelevant we don’t bet on who wins. We capture the lag every event creates. We’ve been building Polymarket bots since 2025. This is the most powerful machine we’ve shipped yet. Two months ago we posted the architecture for this. It hit 1M views one of our most popular posts ever on X. That told us everything: this was the engine to build. First 7 days, - Starting balance: $5,000 - 22 matches scanned, 19 captured - Total profit: +$1,946.86 - ROI: +38.94% in 7 days Why it prints harder than anything we’ve built: the World Cup is the deepest liquidity event prediction markets have ever seen. Tens of millions in volume per match. Dozens of probability-shifting events per game. And an orderbook that physically can’t keep pace with the pitch. How to plug in: 1.Sign up at PolyArbiter (link in bio) 2.Generate PolyArbiter RPC URL 3.Paste it into Jupiter Predict (Polymarket but native on Solana) 4.Set your parameters, activate the World Cup module It’s free to use. We take a share of the profit the engine makes for you. You never deposit anything with us everything runs from your wallet. One honest note: the $1,946 above is our engine at our size and settings. Your numbers depend on your capital, your parameters, and how many matches you’re live for. We’re not promising you’ll match it we’re showing you the machine works, and handing you the same one. These numbers are from the engine running solo. Closed test, just us, before any public access wanted to confirm the whole loop held up end to end before handing it to anyone. That changes the second this goes public. Edge per capture is going to compress. When an event fires the mispriced liquidity is thin and gone in a few seconds more wallets hitting the same window, less left for each. Nothing we can do about it, that’s just how latency arb works. So if the edge thins out past the point where it’s still worth running, we cap access. Hard ceiling on how many engines can hit the same liquidity before it’s gone. Not gonna promise the machine stays this sharp in a few days it might not. But right now it’s live and free. Enjoy 🪄

We found a flaw in Polymarket that can’t be patched. Then we built the most powerful bot of the World Cup around it. Here’s the flaw: their orderbook will always be slower than the pitch. When a goal, red card, or penalty hits, pro feeds (Sportradar, Opta, ScoutingFeed) register it in 200-500ms. Polymarket takes 2 to 8 seconds to reprice. For those few seconds the book is quoting a score that no longer exists. No amount of engineering closes that gap the event happens in the physical world before any oracle can confirm it on-chain. The engine detects the event, recalculates fair value, and fires via Jito bundles before the book catches up. In at the old price, out at the new. The match outcome is irrelevant we don’t bet on who wins. We capture the lag every event creates. We’ve been building Polymarket bots since 2025. This is the most powerful machine we’ve shipped yet. Two months ago we posted the architecture for this. It hit 1M views one of our most popular posts ever on X. That told us everything: this was the engine to build. First 7 days, - Starting balance: $5,000 - 22 matches scanned, 19 captured - Total profit: +$1,946.86 - ROI: +38.94% in 7 days Why it prints harder than anything we’ve built: the World Cup is the deepest liquidity event prediction markets have ever seen. Tens of millions in volume per match. Dozens of probability-shifting events per game. And an orderbook that physically can’t keep pace with the pitch. How to plug in: 1.Sign up at PolyArbiter (link in bio) 2.Generate PolyArbiter RPC URL 3.Paste it into Jupiter Predict (Polymarket but native on Solana) 4.Set your parameters, activate the World Cup module It’s free to use. We take a share of the profit the engine makes for you. You never deposit anything with us everything runs from your wallet. One honest note: the $1,946 above is our engine at our size and settings. Your numbers depend on your capital, your parameters, and how many matches you’re live for. We’re not promising you’ll match it we’re showing you the machine works, and handing you the same one. These numbers are from the engine running solo. Closed test, just us, before any public access wanted to confirm the whole loop held up end to end before handing it to anyone. That changes the second this goes public. Edge per capture is going to compress. When an event fires the mispriced liquidity is thin and gone in a few seconds more wallets hitting the same window, less left for each. Nothing we can do about it, that’s just how latency arb works. So if the edge thins out past the point where it’s still worth running, we cap access. Hard ceiling on how many engines can hit the same liquidity before it’s gone. Not gonna promise the machine stays this sharp in a few days it might not. But right now it’s live and free. Enjoy 🪄

PolyArbiter

100,534 views • 1 month ago

Made this cinematic AI video in minutes using Getvivix Prompt used below 👇 STORYBOARD 1 "THE KNIGHT" PROJECT TYPE: 10-second cinematic fantasy storyboard CHARACTER LOCK: single consistent knight — original fictional STYLIZED fantasy warrior (not a real person). Full ornate plate armor, VISOR DOWN the entire sequence (face never visible — safe by design), tattered surcoat + banner, mounted on an armored warhorse. Identical armor/horse across all frames. STYLE: epic dark-fantasy, cinematic, painterly film stills PACING & FLOW: slow, weighty, EPIC — no rush. One continuous charge → clash → melee → hero arc. Gradual camera moves; the action carries unbroken from frame to frame (each beat is the next instant of the last). Transitions are match-on-motion — the horse's stride and the sword's arc bridge every cut, never a hard jump. FRAMES (8 shots, 0–10s) — angle | lens | motion | lighting | environment | → into next: 1 (0–1.5s): wide establishing | 24mm | knight reined at a hill crest, banner snapping, slow push-in | cold dawn backlight, mist | battlefield below → camera drifts down as the horse shifts weight 2 (1.5–3s): 3/4-rear tracking | 35mm | horse breaks into a canter down the slope | low sun raking | churned mud, distant ranks → match-on-stride into the gallop 3 (3–4.5s): side tracking | 50mm | full gallop toward the enemy line, dust plume | side rim light, haze | spears + banners ahead → he lowers the lance, carrying the motion 4 (4.5–6s): low-angle hero | 35mm | lance leveled mid-gallop, visor catching light | backlit dust glow | closing on the line → impact begins 5 (6–7s): impact wide | 50mm | lance strikes, enemy hurled back, splinters | harsh flash + sparks | clash of the lines → horse rears from the hit 6 (7–8s): low 3/4 | 35mm | warhorse rears amid the melee, sword drawn | embers, torchlight | swirling battle → the blade sweeps down 7 (8–9s): tracking the blade | 50mm | sweeping arc through foes, motion-blur trail | sparks on steel | bodies + banners → camera settles, pulls back 8 (9–10s): hero hold | 24mm | horse reared, sword raised, banner behind, silhouette | dramatic backlight, battle haze | the field beyond → freeze LAYOUT: film sheet — left: 3 dynamic mounted poses (charging 3/4, rearing, mid-swing — in-scene, visor down); center: 8-frame grid; right: director notes; bottom: 0–10s. VISUAL STYLE: cinematic dark-fantasy, painterly, volumetric dawn light, dust + embers + mist, shallow DOF, motion blur, anamorphic; stylized — NOT photorealistic, not real human skin; FACE NEVER SHOWN (visor down). Seedance on Getvivix lets you generate high-end cinematic visuals for around 1000 credits (~$1), making pro-level video creation cheap and scalable. Try it here:

Made this cinematic AI video in minutes using Getvivix Prompt used below 👇 STORYBOARD 1 "THE KNIGHT" PROJECT TYPE: 10-second cinematic fantasy storyboard CHARACTER LOCK: single consistent knight — original fictional STYLIZED fantasy warrior (not a real person). Full ornate plate armor, VISOR DOWN the entire sequence (face never visible — safe by design), tattered surcoat + banner, mounted on an armored warhorse. Identical armor/horse across all frames. STYLE: epic dark-fantasy, cinematic, painterly film stills PACING & FLOW: slow, weighty, EPIC — no rush. One continuous charge → clash → melee → hero arc. Gradual camera moves; the action carries unbroken from frame to frame (each beat is the next instant of the last). Transitions are match-on-motion — the horse's stride and the sword's arc bridge every cut, never a hard jump. FRAMES (8 shots, 0–10s) — angle | lens | motion | lighting | environment | → into next: 1 (0–1.5s): wide establishing | 24mm | knight reined at a hill crest, banner snapping, slow push-in | cold dawn backlight, mist | battlefield below → camera drifts down as the horse shifts weight 2 (1.5–3s): 3/4-rear tracking | 35mm | horse breaks into a canter down the slope | low sun raking | churned mud, distant ranks → match-on-stride into the gallop 3 (3–4.5s): side tracking | 50mm | full gallop toward the enemy line, dust plume | side rim light, haze | spears + banners ahead → he lowers the lance, carrying the motion 4 (4.5–6s): low-angle hero | 35mm | lance leveled mid-gallop, visor catching light | backlit dust glow | closing on the line → impact begins 5 (6–7s): impact wide | 50mm | lance strikes, enemy hurled back, splinters | harsh flash + sparks | clash of the lines → horse rears from the hit 6 (7–8s): low 3/4 | 35mm | warhorse rears amid the melee, sword drawn | embers, torchlight | swirling battle → the blade sweeps down 7 (8–9s): tracking the blade | 50mm | sweeping arc through foes, motion-blur trail | sparks on steel | bodies + banners → camera settles, pulls back 8 (9–10s): hero hold | 24mm | horse reared, sword raised, banner behind, silhouette | dramatic backlight, battle haze | the field beyond → freeze LAYOUT: film sheet — left: 3 dynamic mounted poses (charging 3/4, rearing, mid-swing — in-scene, visor down); center: 8-frame grid; right: director notes; bottom: 0–10s. VISUAL STYLE: cinematic dark-fantasy, painterly, volumetric dawn light, dust + embers + mist, shallow DOF, motion blur, anamorphic; stylized — NOT photorealistic, not real human skin; FACE NEVER SHOWN (visor down). Seedance on Getvivix lets you generate high-end cinematic visuals for around 1000 credits (~$1), making pro-level video creation cheap and scalable. Try it here:

Zoraiz Ai

10,748 views • 2 months ago

Using GPT Image 2 as reference and Seedance Prompt : 15-Second Coca-Cola Commercial Storyboard Scene 1 (0–1s) Extreme macro shot of an ice-cold Coca-Cola glass bottle covered in condensation. A hand twists the cap open. Crisp fizz explosion, sparkling droplets flying through golden sunlight. Cinematic slow motion, shallow depth of field. Scene 2 (1–2s) Close-up of the Coca-Cola logo on the bottle. Water droplets glisten as sunlight reflects across the label. Tiny bubbles rise inside the bottle. Smooth push-in camera movement. Scene 3 (2–4s) Golden-hour rooftop party overlooking a city skyline. Diverse group of friends laugh, raise Coca-Cola bottles, and toast together. Warm sunlight, cinematic lens flares, energetic atmosphere. Scene 4 (4–5s) Slow-motion bottle clink. Coca-Cola splashes dramatically through the air. Macro droplets frozen in motion. Premium commercial look. Scene 5 (5–6s) Young skateboarder in a sunny urban park grabs a Coca-Cola from a cooler and takes a refreshing sip. Dynamic tracking shot. Scene 6 (6–7s) Happy family enjoying a beach picnic at sunset. They share a large Coca-Cola bottle while laughing together. Warm, emotional storytelling. Scene 7 (7–8s) Modern office team celebrates success. Coworkers cheer, high-five, and raise Coca-Cola cans. Bright natural lighting. Scene 8 (8–9s) Young couple on a tropical beach watching the sunset. They smile and sip Coca-Cola while waves roll behind them. Scene 9 (9–10s) Hero shot. Beautiful young woman holds a Coca-Cola bottle toward the camera with a confident smile. Golden sunlight creates a glowing rim light. Scene 10 (10–12s) 360-degree orbit around the woman as she takes a slow refreshing sip. Cooling mist, sparkling bubbles, and soft sunlight rays. Elegant text appears: "Taste the Feeling". Scene 11 (12–14s) Product beauty shot. Coca-Cola contour bottle rotates slowly against a rich red background. Floating ice cubes, rising bubbles, sparkling highlights. Scene 12 (14–15s) Final brand frame. Large Coca-Cola logo appears with subtle sparkle effects. Taglines fade in: "Open Happiness" and "Share a Coke". Premium commercial finish, uplifting music reaches its peak. Style: Ultra-realistic, photorealistic, 4K, 60fps, high-budget global advertising campaign, vibrant red-and-white branding, golden-hour lighting, dynamic camera movement, cinematic depth of field, realistic condensation, fizzy bubbles, premium color grading, masterpiece commercial quality.

Smiling Khan

12,198 views • 2 months ago

somebody explain this because i refuse to accept it someone ran 48 scored trials and one agent beat a whole fleet of them on all 6 task families, at 0.93 cents a run against 1.9, while openai's best fleet shape was paying $0.008 for every single point of accuracy it bought i read it expecting a hit piece and found the opposite: the fleets that partitioned the dependency graph properly lifted pass rate 14% and cut wall-clock 2.10x on the same tasks, and one of them beat claude code with agent teams the thing that decides it has a name, Graph Engineering, and it is a property of the diagram rather than the model: - partition on the real dependency graph pulled from static analysis, never by folder or by file, because the gains land hardest on the most dependency-dense projects - isolate the structural hub files first, since those are the nodes every partition would otherwise have to share - measure the critical path and treat it as the floor, because a chain that genuinely feeds itself cannot be replaced by more workers and wrapping it in a scheduler does not shorten it - match the topology to the coupling instead of defaulting to parallel: on coupled work a static parallel shape drops below a single agent, so the mismatch is worse than no orchestration - remember each worker serialises its own subtasks, which adds edges inside every agent that were never in your plan - budget the fan-out before you fire it, because three agents already burn roughly three times the tokens and the multiplier compounds across sessions - check worker count against your rate limit, since fifteen workers at ten requests a second walk straight through a hundred-per-second ceiling and cascade - put a script gate in front of the planner: it costs 0.15 seconds and zero tokens, and it lets the expensive model skip 43 to 63% of the steps for at most 1.4 points of accuracy the catch is the coordination tax, and it scales with how clever the shape looks: 58% extra reasoning turns for independent workers, 263% decentralised, 285% centralised, and 515% for the hybrid setup everyone reaches for first the same paper found that hybrid then collapses hardest on tool-heavy work at a 0.452 success rate, while the plainer decentralised shape beat centralised outright despite carrying more overhead, because parallel efficiency is what survives bookmark this, the whole build sits in the article ↓

somebody explain this because i refuse to accept it someone ran 48 scored trials and one agent beat a whole fleet of them on all 6 task families, at 0.93 cents a run against 1.9, while openai's best fleet shape was paying $0.008 for every single point of accuracy it bought i read it expecting a hit piece and found the opposite: the fleets that partitioned the dependency graph properly lifted pass rate 14% and cut wall-clock 2.10x on the same tasks, and one of them beat claude code with agent teams the thing that decides it has a name, Graph Engineering, and it is a property of the diagram rather than the model: - partition on the real dependency graph pulled from static analysis, never by folder or by file, because the gains land hardest on the most dependency-dense projects - isolate the structural hub files first, since those are the nodes every partition would otherwise have to share - measure the critical path and treat it as the floor, because a chain that genuinely feeds itself cannot be replaced by more workers and wrapping it in a scheduler does not shorten it - match the topology to the coupling instead of defaulting to parallel: on coupled work a static parallel shape drops below a single agent, so the mismatch is worse than no orchestration - remember each worker serialises its own subtasks, which adds edges inside every agent that were never in your plan - budget the fan-out before you fire it, because three agents already burn roughly three times the tokens and the multiplier compounds across sessions - check worker count against your rate limit, since fifteen workers at ten requests a second walk straight through a hundred-per-second ceiling and cascade - put a script gate in front of the planner: it costs 0.15 seconds and zero tokens, and it lets the expensive model skip 43 to 63% of the steps for at most 1.4 points of accuracy the catch is the coordination tax, and it scales with how clever the shape looks: 58% extra reasoning turns for independent workers, 263% decentralised, 285% centralised, and 515% for the hybrid setup everyone reaches for first the same paper found that hybrid then collapses hardest on tool-heavy work at a 0.452 success rate, while the plainer decentralised shape beat centralised outright despite carrying more overhead, because parallel efficiency is what survives bookmark this, the whole build sits in the article ↓

Argona

32,433 views • 6 days ago

Wait for the dragon's entrance... 🤯 Nano Banana 2 + Seedance 2.0 on DomoAI official prompt A dramatic cinematic fantasy sequence in a snowy pine forest at twilight, illuminated by cold blue and purple dusk tones with a glowing pink sunset on the horizon. Snow falls gently through the air while dense pine trees, frozen rocks, and deep snowdrifts create an epic winter landscape. Volumetric fog drifts between the trees, adding mystery and scale. A beautiful Western woman in her mid-20s with long, voluminous wavy blonde hair, striking blue eyes, and fair skin runs desperately through the deep snow. She wears an elegant flowing white dress beneath a luxurious off-white fur-lined winter cloak with leather belts and silver clasps, tall winter boots, and leather gloves. Her golden hair streams dramatically behind her as she repeatedly glances over her shoulder with a terrified expression while a pack of fierce dark gray wolves races after her through the snow. Snow sprays beneath her feet as the camera tracks her movement in fast, cinematic motion. Suddenly, a colossal majestic white ice dragon descends from the darkening sky. The dragon possesses shimmering crystalline white scales, razor-sharp icy spikes along its head, neck, and spine, glowing sapphire-blue eyes, enormous translucent ice-like wings, and an imposing regal presence. It crashes into the snow directly in front of the woman, sending a massive explosion of snow and ice into the air. The ground trembles beneath its weight. The woman stops abruptly, breathing heavily as fear transforms into astonishment. She slowly looks up at the towering dragon, her wavy blonde hair blowing in the icy wind while the dragon turns its glowing eyes toward her protectively. Around them, the wolves circle cautiously, snarling and searching for an opening. The dragon rises onto its hind legs, spreads its enormous wings to their full span, and unleashes a devastating torrent of brilliant orange and golden fire across the snowy forest toward the wolves. The blazing flames illuminate the frozen landscape with warm golden light, creating a striking contrast against the cold blue twilight. Snow sparkles like diamonds as the fire reflects across the icy terrain, and the wolves retreat into the darkness. The sequence concludes with the Western woman standing safely beside the colossal white ice dragon, gazing upward with admiration and wonder as the dragon stands protectively before her, wings partially extended against the glowing sunset. Snow continues to fall peacefully as the forest returns to silence. Epic cinematic wide shots, dramatic low-angle perspectives emphasizing the dragon's immense scale, smooth tracking shots, intimate close-ups capturing the woman's emotional transition from terror to awe, detailed close-ups of the dragon's glowing blue eyes and crystalline features, ultra-realistic fantasy visuals inspired by Game of Thrones and House of the Dragon, cinematic lighting, volumetric fog, realistic snow physics, film-quality color grading, 4K HDR, highly detailed textures, masterpiece quality, 14-second duration. #Domoai #DomoaiCPP

Wait for the dragon's entrance... 🤯 Nano Banana 2 + Seedance 2.0 on DomoAI official prompt A dramatic cinematic fantasy sequence in a snowy pine forest at twilight, illuminated by cold blue and purple dusk tones with a glowing pink sunset on the horizon. Snow falls gently through the air while dense pine trees, frozen rocks, and deep snowdrifts create an epic winter landscape. Volumetric fog drifts between the trees, adding mystery and scale. A beautiful Western woman in her mid-20s with long, voluminous wavy blonde hair, striking blue eyes, and fair skin runs desperately through the deep snow. She wears an elegant flowing white dress beneath a luxurious off-white fur-lined winter cloak with leather belts and silver clasps, tall winter boots, and leather gloves. Her golden hair streams dramatically behind her as she repeatedly glances over her shoulder with a terrified expression while a pack of fierce dark gray wolves races after her through the snow. Snow sprays beneath her feet as the camera tracks her movement in fast, cinematic motion. Suddenly, a colossal majestic white ice dragon descends from the darkening sky. The dragon possesses shimmering crystalline white scales, razor-sharp icy spikes along its head, neck, and spine, glowing sapphire-blue eyes, enormous translucent ice-like wings, and an imposing regal presence. It crashes into the snow directly in front of the woman, sending a massive explosion of snow and ice into the air. The ground trembles beneath its weight. The woman stops abruptly, breathing heavily as fear transforms into astonishment. She slowly looks up at the towering dragon, her wavy blonde hair blowing in the icy wind while the dragon turns its glowing eyes toward her protectively. Around them, the wolves circle cautiously, snarling and searching for an opening. The dragon rises onto its hind legs, spreads its enormous wings to their full span, and unleashes a devastating torrent of brilliant orange and golden fire across the snowy forest toward the wolves. The blazing flames illuminate the frozen landscape with warm golden light, creating a striking contrast against the cold blue twilight. Snow sparkles like diamonds as the fire reflects across the icy terrain, and the wolves retreat into the darkness. The sequence concludes with the Western woman standing safely beside the colossal white ice dragon, gazing upward with admiration and wonder as the dragon stands protectively before her, wings partially extended against the glowing sunset. Snow continues to fall peacefully as the forest returns to silence. Epic cinematic wide shots, dramatic low-angle perspectives emphasizing the dragon's immense scale, smooth tracking shots, intimate close-ups capturing the woman's emotional transition from terror to awe, detailed close-ups of the dragon's glowing blue eyes and crystalline features, ultra-realistic fantasy visuals inspired by Game of Thrones and House of the Dragon, cinematic lighting, volumetric fog, realistic snow physics, film-quality color grading, 4K HDR, highly detailed textures, masterpiece quality, 14-second duration. #Domoai #DomoaiCPP

Sharon Riley

30,115 views • 25 days ago