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3 days left. Whispers echo through Kamona: containers unlocked, cases loaded, fortunes unguarded. Season 4 lands January 8. #ArenaBreakoutPC #ArenaBreakoutInfinite #ABI #ABIS4

Arena Breakout Infinite

251,496 subscribers

12,249 次观看 • 8 个月前 •via X (Twitter)

#ArenaBreakoutPC #ArenaBreakoutInfinite #ABI #ABIS4

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2 days to go. Push in. Load up. Get out. The Airport awaits. Season 4 drops January 8. #ArenaBreakoutPC #ArenaBreakoutInfinite #ABI #ABIS4

2 days to go. Push in. Load up. Get out. The Airport awaits. Season 4 drops January 8. #ArenaBreakoutPC #ArenaBreakoutInfinite #ABI #ABIS4

Arena Breakout Infinite

11,354 次观看 • 8 个月前

Less than 1 day to go. Boot up. Drop in. You'll get it. Season 4 drops January 8. #ArenaBreakoutPC #ArenaBreakoutInfinite #ABI #ABIS4

Less than 1 day to go. Boot up. Drop in. You'll get it. Season 4 drops January 8. #ArenaBreakoutPC #ArenaBreakoutInfinite #ABI #ABIS4

Arena Breakout Infinite

13,466 次观看 • 8 个月前

Eric returns with fresh intel Guayapo Airport is all about action and payoff! - Rich loot in every zone - Hit safes, farm new stashes, or push the tower and wipe squads Northridge enters full winter! - Snow and frozen terrain demand new tactics Season 4: Airport Hunt lands early January. Watch the full briefing now. #ArenaBreakoutPC #ArenaBreakoutInfinite #ABI #ABIAirportHunt

Eric returns with fresh intel Guayapo Airport is all about action and payoff! - Rich loot in every zone - Hit safes, farm new stashes, or push the tower and wipe squads Northridge enters full winter! - Snow and frozen terrain demand new tactics Season 4: Airport Hunt lands early January. Watch the full briefing now. #ArenaBreakoutPC #ArenaBreakoutInfinite #ABI #ABIAirportHunt

Arena Breakout Infinite

15,478 次观看 • 9 个月前

How do we train speed before a game in-season? Come through it with us! Firstly, we try to keep this to about 30-35 minutes. In and out. 1-2 sets of everything. High outputs, not crazy volume. Prep work, some loaded & max effort acceleration, output & fast driven jumps. 1. Extensive pogo to broad jump 2. Extensive SL pogo to SL broad jump 3. Intensive pogo to broad jump 4. Intensive SL pogo to SL broad jump 5. Loaded sled acceleration 6. Medicine ball sprint start 7. Lateral half kneeling sprint start 8. Medicine ball scoop throw 9. DB vertical jump 10. Depth jump to broad jump 11. Drop jump to vertical jump

How do we train speed before a game in-season? Come through it with us! Firstly, we try to keep this to about 30-35 minutes. In and out. 1-2 sets of everything. High outputs, not crazy volume. Prep work, some loaded & max effort acceleration, output & fast driven jumps. 1. Extensive pogo to broad jump 2. Extensive SL pogo to SL broad jump 3. Intensive pogo to broad jump 4. Intensive SL pogo to SL broad jump 5. Loaded sled acceleration 6. Medicine ball sprint start 7. Lateral half kneeling sprint start 8. Medicine ball scoop throw 9. DB vertical jump 10. Depth jump to broad jump 11. Drop jump to vertical jump

Gerry DeFilippo | Strength & Speed

38,949 次观看 • 1 年前

I've used OpenClaw every single day for 50+ days. Through ClawdBot. Through MoltBot. Through the rebrand and OpenAI partnership. I made the setup video in the official docs. I built Clawdiverse. I contributed a skill to ClawHub. Nobody else can tell you what happens after the first month. Here's everything I learned: 20 real use cases, what actually breaks, and every prompt to set them up yourself: 0:00 Nobody has been here for 50 days yet 1:02 What is OpenClaw? 1:49 What 50 days actually looks like 4:53 #1 Morning briefing 5:54 #2 AI art for my e-ink display 7:30 #3 Auto-updates & backups 8:42 #4 Background checks that caught my Netflix payment fail 10:44 #5 Research with parallel sub-agents 12:09 #6 YouTube analytics in plain English 14:51 #7 /summarize any URL 15:28 #8 "Go fix everything" — server migration 16:57 #9 Coding from my phone 17:35 #10 Email triage (draft-only mode) 18:01 #11 Calendar via WhatsApp for my wife 18:35 #12 Voice note transcription 19:25 #13 Coffee shops, weather, reminders 20:59 #14 My agent helped my friend set up for 3 hours in Polish 23:10 #15 Why I migrated to Discord (biggest upgrade) 26:02 #16 Bookmarks replaced Raindrop 27:24 #17 Semantic search across 3,000 Obsidian notes 29:21 #18 WordPress rickroll honeypot 31:02 #19 Excalidraw diagrams via MCP 31:53 #20 Home automation 33:46 Starter pack: 3 workflows for day one 34:29 The honest part — what breaks 42:03 My 50-day scorecard

I've used OpenClaw every single day for 50+ days. Through ClawdBot. Through MoltBot. Through the rebrand and OpenAI partnership. I made the setup video in the official docs. I built Clawdiverse. I contributed a skill to ClawHub. Nobody else can tell you what happens after the first month. Here's everything I learned: 20 real use cases, what actually breaks, and every prompt to set them up yourself: 0:00 Nobody has been here for 50 days yet 1:02 What is OpenClaw? 1:49 What 50 days actually looks like 4:53 #1 Morning briefing 5:54 #2 AI art for my e-ink display 7:30 #3 Auto-updates & backups 8:42 #4 Background checks that caught my Netflix payment fail 10:44 #5 Research with parallel sub-agents 12:09 #6 YouTube analytics in plain English 14:51 #7 /summarize any URL 15:28 #8 "Go fix everything" — server migration 16:57 #9 Coding from my phone 17:35 #10 Email triage (draft-only mode) 18:01 #11 Calendar via WhatsApp for my wife 18:35 #12 Voice note transcription 19:25 #13 Coffee shops, weather, reminders 20:59 #14 My agent helped my friend set up for 3 hours in Polish 23:10 #15 Why I migrated to Discord (biggest upgrade) 26:02 #16 Bookmarks replaced Raindrop 27:24 #17 Semantic search across 3,000 Obsidian notes 29:21 #18 WordPress rickroll honeypot 31:02 #19 Excalidraw diagrams via MCP 31:53 #20 Home automation 33:46 Starter pack: 3 workflows for day one 34:29 The honest part — what breaks 42:03 My 50-day scorecard

Radek Sienkiewicz

62,258 次观看 • 7 个月前

🔊 212. Sound on. The BIOSPHERE converges. ⚡️ 9 DAYS until ignition. Exclusively on Crypto.com NFT • on the #CroFam #SYNTHTOPIA calls its final initiates into a drop unlike any before: INTO THE BIOSPHERE. 🧬 The Helix turns. From the Vault rise echoes of Titans, Angels, Warriors, Muses, Beasts — each awaiting their final initiates. ⚡️ Will you fight, soar, inspire, or awaken the Beast within before the Helix seals? 👉 Claim your passage. Step through the Gate: ⸻ 🪐 Utilities Unlocked 🏆 $21,212 worth of #Cro in Hidden Prizes & 12 Singularities 🪂 1,212 1/1 NFT Airdrops + Tiered Rewards ⚡️ $BIOSYNTH Loyalty Points | Fuel for the Brave 🎨 Creator Rights & IP Access 🎰 Community Privileges & Perks 🧬 Co-create SYNTHTOPIA via Discord & AI 🗝 IRL + Metaverse Gatherings 🚀 The Synthesis Reward System ⸻ 🚀 Mint Info 💥 333 NFTs at $1 💥 3,000 NFTs at $81 💥 2,222 reserved for ‘SYNTHESIS REWARDS’ 🕹 Explore the Ecosystem: 👉 👉 🧬 Your Echo awakens in Discord → ⸻ ⏳ Early Access: October 8 • 6AM EST ✨ The era of co-creation begins. 🌌 A passage across the Helix of Becoming. #fftb ⸻ 🎉 BIOSPHERE #GIVEAWAY 🏅 1× SYNTHTOPIA: INTO THE BIOSPHERE NFT 🏅 1× 212 $CRO #Cro 🏅 3× 212 $LION How to enter: 1️⃣ Follow: SYNTHTOPIA × Crypto.com NFT 2️⃣ Like ❤️ | RT 🔄 | Tag 4 #Crofam ✅ 3️⃣ Join: ⏰ Ends October 31st, 11:59 PM EST 🔮 Awaken Your Echo. ⚡️ Enter the BIOSPHERE. Terms & Conditions Apply. #Synthtopia #Biosynth #CryptoCom #212movement

🔊 212. Sound on. The BIOSPHERE converges. ⚡️ 9 DAYS until ignition. Exclusively on Crypto.com NFT • on the #CroFam #SYNTHTOPIA calls its final initiates into a drop unlike any before: INTO THE BIOSPHERE. 🧬 The Helix turns. From the Vault rise echoes of Titans, Angels, Warriors, Muses, Beasts — each awaiting their final initiates. ⚡️ Will you fight, soar, inspire, or awaken the Beast within before the Helix seals? 👉 Claim your passage. Step through the Gate: ⸻ 🪐 Utilities Unlocked 🏆 $21,212 worth of #Cro in Hidden Prizes & 12 Singularities 🪂 1,212 1/1 NFT Airdrops + Tiered Rewards ⚡️ $BIOSYNTH Loyalty Points | Fuel for the Brave 🎨 Creator Rights & IP Access 🎰 Community Privileges & Perks 🧬 Co-create SYNTHTOPIA via Discord & AI 🗝 IRL + Metaverse Gatherings 🚀 The Synthesis Reward System ⸻ 🚀 Mint Info 💥 333 NFTs at $1 💥 3,000 NFTs at $81 💥 2,222 reserved for ‘SYNTHESIS REWARDS’ 🕹 Explore the Ecosystem: 👉 👉 🧬 Your Echo awakens in Discord → ⸻ ⏳ Early Access: October 8 • 6AM EST ✨ The era of co-creation begins. 🌌 A passage across the Helix of Becoming. #fftb ⸻ 🎉 BIOSPHERE #GIVEAWAY 🏅 1× SYNTHTOPIA: INTO THE BIOSPHERE NFT 🏅 1× 212 $CRO #Cro 🏅 3× 212 $LION How to enter: 1️⃣ Follow: SYNTHTOPIA × Crypto.com NFT 2️⃣ Like ❤️ | RT 🔄 | Tag 4 #Crofam ✅ 3️⃣ Join: ⏰ Ends October 31st, 11:59 PM EST 🔮 Awaken Your Echo. ⚡️ Enter the BIOSPHERE. Terms & Conditions Apply. #Synthtopia #Biosynth #CryptoCom #212movement

SYNTHTOPIA

56,784 次观看 • 1 年前

this chinese developer making $320k/year as a solo contractor his secret: 5 AI agents running in parallel, each one a specialist architect, coder, reviewer, tester, ops they don’t share context, don’t step on each other, just ship he takes on projects meant for teams of 5-8 engineers delivers in half the time keeps the entire budget found this video on bilibili at 3am and watched it four times guy sitting at his desk, two monitors filled with code, and he’s barely touching the keyboard here’s what’s happening on his screen: > agent 1 (architect): designs system structure, breaks down features into tasks, decides what gets built first > agent 2 (coder): writes the actual implementation based on architect’s specs > agent 3 (reviewer): checks every piece of code for bugs, edge cases, security issues > agent 4 (tester): generates test cases, runs them, reports failures back > agent 5 (ops): handles deployment, monitoring, infrastructure five separate claude code instances running simultaneously each one has its own system prompt, its own context, its own specialty they communicate through a shared task queue, not through each other that’s the key insight - no shared context means no conflicts agent 2 doesn’t know what agent 3 is doing agent 4 doesn’t care what agent 1 decided they just pick up tasks, complete them, move on he showed his contract history: > 3D rendering pipeline for a gaming studio: $25k > automated trading dashboard: $33k > enterprise CRM rebuild: $44k all completed solo, all delivered early, all clients thought they were hiring a team the code on his screen is python with blender integration - complex stuff that would normally require 3-4 specialists he’s shipping it in days while the client expects weeks while he’s explaining the system to camera, commits are happening in the background, tests running, deployments going out all while he’s literally not touching the keyboard his API costs run about $2k/month his revenue averages $26k/month that’s a 13x return on his AI investment this is the new solo developer playbook don’t compete with teams become the team

this chinese developer making $320k/year as a solo contractor his secret: 5 AI agents running in parallel, each one a specialist architect, coder, reviewer, tester, ops they don’t share context, don’t step on each other, just ship he takes on projects meant for teams of 5-8 engineers delivers in half the time keeps the entire budget found this video on bilibili at 3am and watched it four times guy sitting at his desk, two monitors filled with code, and he’s barely touching the keyboard here’s what’s happening on his screen: > agent 1 (architect): designs system structure, breaks down features into tasks, decides what gets built first > agent 2 (coder): writes the actual implementation based on architect’s specs > agent 3 (reviewer): checks every piece of code for bugs, edge cases, security issues > agent 4 (tester): generates test cases, runs them, reports failures back > agent 5 (ops): handles deployment, monitoring, infrastructure five separate claude code instances running simultaneously each one has its own system prompt, its own context, its own specialty they communicate through a shared task queue, not through each other that’s the key insight - no shared context means no conflicts agent 2 doesn’t know what agent 3 is doing agent 4 doesn’t care what agent 1 decided they just pick up tasks, complete them, move on he showed his contract history: > 3D rendering pipeline for a gaming studio: $25k > automated trading dashboard: $33k > enterprise CRM rebuild: $44k all completed solo, all delivered early, all clients thought they were hiring a team the code on his screen is python with blender integration - complex stuff that would normally require 3-4 specialists he’s shipping it in days while the client expects weeks while he’s explaining the system to camera, commits are happening in the background, tests running, deployments going out all while he’s literally not touching the keyboard his API costs run about $2k/month his revenue averages $26k/month that’s a 13x return on his AI investment this is the new solo developer playbook don’t compete with teams become the team

regent

191,003 次观看 • 5 个月前

Grok Imagine 0.9 The model will follow your instructions if you write the prompt correctly, keep your prompt short and focus on every word 🔥. This is the beginning 🔥 1. Noir Detective Sequence Extreme closeup: detective's eyes reflecting neon. Rain streaks down fedora brim. Slow dolly back reveals rain-soaked alley, steam rising from grates. Cigarette ember glows. Jazz saxophone bleeds into silence. 2. Dragon's Awakening Wide establishing shot: dragon unfurls wings atop mountain peak at golden hour. Camera cranes up as scales catch aurora light. Volumetric fog rolls through valleys below. Wings beat, creating shockwave ripples. 3. Cyberpunk Warrior Stand Low angle hero shot: samurai silhouette against neon cityscape. Katana hums with electric blue energy. Rain backlit by holographic billboards. Camera orbits 180° as lightning reflects off blade edge. 4. Sunset Highway Dreams Tracking shot from passenger seat: convertible speeds through desert highway. Palm tree shadows strobe across dashboard. Synthwave sunset gradient fills frame. Camera pulls back revealing endless road ahead. 5. Surrealist Library Chess Dutch angle: oversized chess pieces float mid-air between towering bookshelves. Golden hour light streams through arched windows, casting geometric shadows. Camera slowly pushes in on suspended king piece. 6. Underground Jazz Moment Handheld medium shot: saxophonist in subway tunnel, backlit by single overhead bulb. High contrast chiaroscuro lighting. Camera circles as notes echo off tile walls. Commuters blur past in bokeh. 7. Waterfall Majesty Aerial establishing shot descends through rainbow mist toward thundering waterfall. Sunbeams pierce canopy creating god rays. Camera stabilizes at pool level as birds cross frame in slow motion. 8. Urban Motorcycle Chase Steady cam pursuit: motorcycle leans hard through narrow alley, sparks showering from footpegs. Dutch angle intensifies corners. Neon signs blur into light trails. Cut to helmet POV as rider accelerates. 9. Minimalist Still Life Macro lens: single crimson rose on white marble surface. Morning dew drops magnified like crystal spheres. Soft key light from camera left. Shallow depth of field. Silence. Perfect symmetry. 10. Space Station Corridor Steadicam glide through sci-fi corridor: volumetric blue light cuts through floating dust particles. Service robot crosses frame left to right. Iris door opens revealing Saturn through viewport. Ambient hum fades to silence.

Grok Imagine 0.9 The model will follow your instructions if you write the prompt correctly, keep your prompt short and focus on every word 🔥. This is the beginning 🔥 1. Noir Detective Sequence Extreme closeup: detective's eyes reflecting neon. Rain streaks down fedora brim. Slow dolly back reveals rain-soaked alley, steam rising from grates. Cigarette ember glows. Jazz saxophone bleeds into silence. 2. Dragon's Awakening Wide establishing shot: dragon unfurls wings atop mountain peak at golden hour. Camera cranes up as scales catch aurora light. Volumetric fog rolls through valleys below. Wings beat, creating shockwave ripples. 3. Cyberpunk Warrior Stand Low angle hero shot: samurai silhouette against neon cityscape. Katana hums with electric blue energy. Rain backlit by holographic billboards. Camera orbits 180° as lightning reflects off blade edge. 4. Sunset Highway Dreams Tracking shot from passenger seat: convertible speeds through desert highway. Palm tree shadows strobe across dashboard. Synthwave sunset gradient fills frame. Camera pulls back revealing endless road ahead. 5. Surrealist Library Chess Dutch angle: oversized chess pieces float mid-air between towering bookshelves. Golden hour light streams through arched windows, casting geometric shadows. Camera slowly pushes in on suspended king piece. 6. Underground Jazz Moment Handheld medium shot: saxophonist in subway tunnel, backlit by single overhead bulb. High contrast chiaroscuro lighting. Camera circles as notes echo off tile walls. Commuters blur past in bokeh. 7. Waterfall Majesty Aerial establishing shot descends through rainbow mist toward thundering waterfall. Sunbeams pierce canopy creating god rays. Camera stabilizes at pool level as birds cross frame in slow motion. 8. Urban Motorcycle Chase Steady cam pursuit: motorcycle leans hard through narrow alley, sparks showering from footpegs. Dutch angle intensifies corners. Neon signs blur into light trails. Cut to helmet POV as rider accelerates. 9. Minimalist Still Life Macro lens: single crimson rose on white marble surface. Morning dew drops magnified like crystal spheres. Soft key light from camera left. Shallow depth of field. Silence. Perfect symmetry. 10. Space Station Corridor Steadicam glide through sci-fi corridor: volumetric blue light cuts through floating dust particles. Service robot crosses frame left to right. Iris door opens revealing Saturn through viewport. Ambient hum fades to silence.

Emily

23,659 次观看 • 11 个月前

Love and Deepspace | Entwined Shadows "Through silent whispers, I shall finally reach you." PV for the new 5-Star Interactive Memory series [Entwined Shadows] is now released! ┈┈┈┈┈▾Giveaway▾┈┈┈┈┈ Follow Love and Deepspace and Repost for a chance to win $50 (5 winners) and Random Badge (5 winners) before Jul. 9. ■ Update on Jun. 25 - Jul. 10, 4:59 AM (Server Time) The drop rate of the Limited 5-Star Memories [Xavier: 21 Days], [Zayne: Snowy Serenity], and [Rafayel: Floral Promise] will be significantly increased; each time you acquire a 5-Star Memory, there's a 75% chance that it is one of these Memories. After the event ends, these three Memories will not be obtainable through other means and will not enter the permanent Wish Pool, Xspace Echo. ■ Romantic Blessing: Wish Rewards Upgrade During the event, after you make a certain number of wishes, you can claim the rewards including Universal Accessory [Hearty Profile], [Deepspace Wish: Limited15], Love Interest's [Event Memory Outfit], Selectable [Event Limited 5-Star Memory] and more. Please note that this mechanism only takes effect in this event. ■ Tips: • This Wish Pool features Precise Wish and pity system; view their details as well as the Romantic Blessing's details in the upcoming event preview. • Memory Skin Renewal enables you to customize your Memories. After the update on June 25, log in to claim [Evol Appearance Reset3] in your mailbox to adjust your appearance based on your needs and enjoy a date of entwined shadows with him! #LoveandDeepspace #EntwinedShadows

Love and Deepspace

2,043,468 次观看 • 2 年前

EMERGENCY PHONE CALL I RECEIVED AN HOUR AGO🚨 January 6 Hostage & Former US Marine EDWARD KELLEY is still behind bars & the Deepstate WILL NOT LET HIM GO!! 📍 Blount County Jail in Tennessee The FBI set Edward up while we was on pretrial probation for January 6 - with a Federal Asset who framed him!!! Elon!! Elon Musk please help Edward & the other 11 Jan 6ers still captive to the DOJ 1. Jeremy Brown Who Is Jeremy Brown? 1 PISSED OFF Green Beret, DOL 📍 FCI Atlanta 2. Daniel Ball Barbara Ball 📍 Cimarron, Oklahoma (Possession of weapon during J6 raid) 3. Darrell Neely DC charge, failure to appear for a J6 trial hearing 4. Taylor Taranto - DC charge, possession of weapon during J6 raid, bomb threat charge for joke vide 5. Theodore Middendorf - IL parole violation 6. Dominic Box - Duval County Court, FL 2023 DUI and non-extraditable misdemeanor alcohol charge 7. Jason Tasker - AZ DUI parole violation - hearing he was flown back to AZ Pike County Detention, KY: 8. David Daniels Northpoint Training Center, KY: 9. Andrew Grigsby Central Valley Modified Community Correctional Facility; McFarland, California: 10. Benjamin Martin Possession of weapon during J6 raid BC, Canada: 11. Antony Vo - after asylum was accepted, Canada decided he entered through a port illegally NO MAN LEFT BEHIND!!!!

EMERGENCY PHONE CALL I RECEIVED AN HOUR AGO🚨 January 6 Hostage & Former US Marine EDWARD KELLEY is still behind bars & the Deepstate WILL NOT LET HIM GO!! 📍 Blount County Jail in Tennessee The FBI set Edward up while we was on pretrial probation for January 6 - with a Federal Asset who framed him!!! Elon!! Elon Musk please help Edward & the other 11 Jan 6ers still captive to the DOJ 1. Jeremy Brown Who Is Jeremy Brown? 1 PISSED OFF Green Beret, DOL 📍 FCI Atlanta 2. Daniel Ball Barbara Ball 📍 Cimarron, Oklahoma (Possession of weapon during J6 raid) 3. Darrell Neely DC charge, failure to appear for a J6 trial hearing 4. Taylor Taranto - DC charge, possession of weapon during J6 raid, bomb threat charge for joke vide 5. Theodore Middendorf - IL parole violation 6. Dominic Box - Duval County Court, FL 2023 DUI and non-extraditable misdemeanor alcohol charge 7. Jason Tasker - AZ DUI parole violation - hearing he was flown back to AZ Pike County Detention, KY: 8. David Daniels Northpoint Training Center, KY: 9. Andrew Grigsby Central Valley Modified Community Correctional Facility; McFarland, California: 10. Benjamin Martin Possession of weapon during J6 raid BC, Canada: 11. Antony Vo - after asylum was accepted, Canada decided he entered through a port illegally NO MAN LEFT BEHIND!!!!

Jake Lang - January 6 Political Prisoner 🇺🇸

79,191 次观看 • 1 年前

Do you want Chicken that falls off the bone? Check this out! 🍗 Ingredients: 4 tbsp Dan-O’s Outlaw Sweet Caribbean Seasoning 4 tbsp Dan-O’s Cajun Seasoning 1 container mild jerk paste 1 tube ginger paste 2 lemons, juiced 1 cup non-alcoholic margarita mix 5 lb chicken wings 5 lb chicken thighs, bone-in, skin-on 4 tbsp amount oil Directions: 1. Make the Marinade In a large bowl or container, combine the jerk paste, ginger paste, lemon juice, and margarita mix. Mix until fully combined. 2. Marinate the Chicken Add the chicken wings and thighs to the marinade. Toss until fully coated. Press the chicken down into the marinade, cover, and refrigerate for at least 2 days. 3. Prep the Pans Line 2 baking trays with parchment paper. Place the chicken thighs on one tray and the wings on the other. Arrange the thighs skin-side down and spread the wings out evenly. 4. Make the Seasoning Blend In a small bowl, combine Dan-O’s Outlaw Sweet Caribbean Seasoning and Dan-O’s Cajun Seasoning. 5. Season the Chicken Sprinkle generously of the combined seasonings over the meat side of the thighs. Flip the thighs skin-side up and season the top. Season one side of the wings. 6. Add Oil to the Thighs Lightly coat the tops of the thighs with oil and pat it in. Do not oil the wings. 7. Bake the Chicken Place the trays in a 350°F oven with the thighs on the top rack and the wings on the lower rack. Bake for about 1 hour. Leave the thighs skin-side up and do not flip them. 8. Check at 1 hour Carefully remove excess liquid from the trays. Rotate the trays. Flip the wings, lightly season again, and return to the oven. 9. Finish Baking Continue baking for about 30 minutes until the chicken is cooked through, the skin is crisp, and the meat is pulling away from the bone. 10. Rest and Serve Let the chicken rest briefly after baking. Serve hot. Yum Yum Get Ya Sum!

Do you want Chicken that falls off the bone? Check this out! 🍗 Ingredients: 4 tbsp Dan-O’s Outlaw Sweet Caribbean Seasoning 4 tbsp Dan-O’s Cajun Seasoning 1 container mild jerk paste 1 tube ginger paste 2 lemons, juiced 1 cup non-alcoholic margarita mix 5 lb chicken wings 5 lb chicken thighs, bone-in, skin-on 4 tbsp amount oil Directions: 1. Make the Marinade In a large bowl or container, combine the jerk paste, ginger paste, lemon juice, and margarita mix. Mix until fully combined. 2. Marinate the Chicken Add the chicken wings and thighs to the marinade. Toss until fully coated. Press the chicken down into the marinade, cover, and refrigerate for at least 2 days. 3. Prep the Pans Line 2 baking trays with parchment paper. Place the chicken thighs on one tray and the wings on the other. Arrange the thighs skin-side down and spread the wings out evenly. 4. Make the Seasoning Blend In a small bowl, combine Dan-O’s Outlaw Sweet Caribbean Seasoning and Dan-O’s Cajun Seasoning. 5. Season the Chicken Sprinkle generously of the combined seasonings over the meat side of the thighs. Flip the thighs skin-side up and season the top. Season one side of the wings. 6. Add Oil to the Thighs Lightly coat the tops of the thighs with oil and pat it in. Do not oil the wings. 7. Bake the Chicken Place the trays in a 350°F oven with the thighs on the top rack and the wings on the lower rack. Bake for about 1 hour. Leave the thighs skin-side up and do not flip them. 8. Check at 1 hour Carefully remove excess liquid from the trays. Rotate the trays. Flip the wings, lightly season again, and return to the oven. 9. Finish Baking Continue baking for about 30 minutes until the chicken is cooked through, the skin is crisp, and the meat is pulling away from the bone. 10. Rest and Serve Let the chicken rest briefly after baking. Serve hot. Yum Yum Get Ya Sum!

Dan-O’s Seasoning

35,195 次观看 • 5 个月前

92 days until Eagles football so let’s flashback to 1992. That squad snapped an 11-year playoff win drought despite the team winning 10+ games every year from 1988–1992. The ’92 Eagles were the only team in that 5 year run to finally break through in the postseason after finishing 11-5 so let’s look at their Top 11 Plays of that season: 1. Fred Barrett TD vs the Saints in the Playoff win 2. Seth Joyner (@sethjoyne) 1 handed Pick 6 vs the Vikings 3. 4th down stop vs the Redskins on the last play to clinch a playoff spot 4. 71 yard Fred Barnett stiff arm TD vs Cardinals 5. Heath Sherman 75 yard screen TD vs Packers 6. Seth Joyner strip sack with a Reggie White TD vs Cardinals 7. 4th down stop at home vs Cardinals 7 TIMES in a row inside the 1 8. Seth Joyner Pick 6 vs Giants 9. Vai Sikahema 87 punt return TD vs Giants 10. Calvin Williams 49 yard TD vs the Broncos 11. Eric Allen (Eric Allen) Pick 6 to end the Saints playoff win.

92 days until Eagles football so let’s flashback to 1992. That squad snapped an 11-year playoff win drought despite the team winning 10+ games every year from 1988–1992. The ’92 Eagles were the only team in that 5 year run to finally break through in the postseason after finishing 11-5 so let’s look at their Top 11 Plays of that season: 1. Fred Barrett TD vs the Saints in the Playoff win 2. Seth Joyner (@sethjoyne) 1 handed Pick 6 vs the Vikings 3. 4th down stop vs the Redskins on the last play to clinch a playoff spot 4. 71 yard Fred Barnett stiff arm TD vs Cardinals 5. Heath Sherman 75 yard screen TD vs Packers 6. Seth Joyner strip sack with a Reggie White TD vs Cardinals 7. 4th down stop at home vs Cardinals 7 TIMES in a row inside the 1 8. Seth Joyner Pick 6 vs Giants 9. Vai Sikahema 87 punt return TD vs Giants 10. Calvin Williams 49 yard TD vs the Broncos 11. Eric Allen (Eric Allen) Pick 6 to end the Saints playoff win.

Fly Eagles Fly Bets

24,842 次观看 • 1 年前

My ex said "you'll never make real money on that Polymarket thing" I told my OpenClaw: "turn $100 into $5,000 on weather markets or I'm uninstalling you forever" It built a weather scanning system in 38 minutes, never asked a single question. The edge was stupid simple. NOAA - $6B federal supercomputer network - publishes 24-48h weather forecasts with 93%+ accuracy. Polymarket temperature buckets are priced by people checking AccuWeather between TikToks. The bot reads NOAA. The market doesn't. Hour 2: cold front warning for Chicago, NOAA gave 94% confidence on 34°F. Polymarket had that bucket at 7¢. Bot loaded up. $100 → $340 Hour 6: NYC heatwave data dropped, 3 temperature buckets were mispriced below 11¢ simultaneously. Bot caught all three before anyone noticed. $340 → $1,120 I use for copytrade bots: Hour 11: Miami humidity spike showed up in NOAA models 4 hours before it hit weather apps. Bot bought 6 buckets across 3 cities at 8-12¢. $1,120 → $2,890 Hour 18: Seattle overnight temperature dropped exactly into the range NOAA predicted 2 days ago. Market was still pricing it at 14¢. Bot ran the same play 12 times across Dallas and Atlanta. $2,890 → $4,460 Hour 23: one trade left. $540 needed. Chicago morning forecast resolved - the bucket bot bought at 7¢ in hour 2 corrected to 52¢. Hour 24: $5,117 It kept its end of the deal, I kept mine. The bot made $230 while she was reading this post.

My ex said "you'll never make real money on that Polymarket thing" I told my OpenClaw: "turn $100 into $5,000 on weather markets or I'm uninstalling you forever" It built a weather scanning system in 38 minutes, never asked a single question. The edge was stupid simple. NOAA - $6B federal supercomputer network - publishes 24-48h weather forecasts with 93%+ accuracy. Polymarket temperature buckets are priced by people checking AccuWeather between TikToks. The bot reads NOAA. The market doesn't. Hour 2: cold front warning for Chicago, NOAA gave 94% confidence on 34°F. Polymarket had that bucket at 7¢. Bot loaded up. $100 → $340 Hour 6: NYC heatwave data dropped, 3 temperature buckets were mispriced below 11¢ simultaneously. Bot caught all three before anyone noticed. $340 → $1,120 I use for copytrade bots: Hour 11: Miami humidity spike showed up in NOAA models 4 hours before it hit weather apps. Bot bought 6 buckets across 3 cities at 8-12¢. $1,120 → $2,890 Hour 18: Seattle overnight temperature dropped exactly into the range NOAA predicted 2 days ago. Market was still pricing it at 14¢. Bot ran the same play 12 times across Dallas and Atlanta. $2,890 → $4,460 Hour 23: one trade left. $540 needed. Chicago morning forecast resolved - the bucket bot bought at 7¢ in hour 2 corrected to 52¢. Hour 24: $5,117 It kept its end of the deal, I kept mine. The bot made $230 while she was reading this post.

Lunar

72,007 次观看 • 6 个月前

Election officials blow the lid off of the massive amount of deliberate and orchestrated FRAUD during the 2020 Election in Michigan. This tells you everything you need to know about our elections. JESSE JACOB: Claimed she was instructed by supervisors to backdate absentee ballot packages and ignore verification protocols, violating Michigan's Election Officials Manual. She observed widespread disregard for deadlines, signatures, and voter eligibility, leading to the processing of invalid ballots. At the TCF Center on November 4, 2020, she was told to enter false receipt dates and skip checks on problematic ballots, feeling harassed when she resisted. - Estimated 10,000–15,000 ballot packages prepared daily from September 22–30, 2020 (about 10 days), totaling around 100,000 false documents backdated by 3 days. - Handled 25,000–30,000 illegal second ballots across 23 satellite sites, issued without affidavits or returning originals. - Examined approximately 25,000 ballots over 1.5 days at TCF Center, with no Republican inspectors present. - Ballots issued after the November 2, 2020, 4:00 PM deadline (e.g., dated November 3) were backdated to November 2. MELISSA CARONE: Alleged she saw city workers repeatedly scanning the same batches of ballots without proper procedures, causing overcounts due to machine jams. She reported a data loss incident dismissed by her manager and claimed vans arrived late at night under the guise of delivering food but actually carrying ballots. She noted a lack of Republican oversight and untrained workers. - Batches of ballots run through tabulators 9–10 times without discarding originals, with jams occurring 2–3 times per hour per machine across 22–24 tabulators, leading to thousands of jams. - Estimated at least 30,000 ballots scanned multiple times. - Poll book off by more than 100,000 entries; turnout rate claimed at 120%. - Only about 3 Republicans observed the process. Trump was allegedly ahead by 100,000 votes before a data loss event. HIMA KOLANAGIREDDY: Described machine jams leading to improper handling of ballots and manual entries of unregistered voters. She claimed Democratic challengers intimidated GOP observers, and poll workers were hostile or untrained. She filed an affidavit with the Election Integrity Fund on November 4, 2020, including specific ballot details. - Tabulator machines jammed 3–4 times per hour; machines showed vote increments of 300–400 instead of resetting to zero. - 50–150 ballots in 2–3 boxes from Goddard Street were manually entered without verification, with birth dates like 1900 and no receipt dates (e.g., "November 0-"). - Sequential ballot numbers (e.g., 2232 followed by 2233) on mail-in ballots, which she claimed should not be sequential. ANDREW SITTO: Alleged theft of duplicate ballots and improper alterations to favor Democrats. He described a late-night delivery of ballots with no Trump votes and claimed challenges were ignored. Access to the counting room was blocked under false pretenses. - Workers stole 3–4 duplicate ballots at a time, with more than half a dozen thefts observed in his first shift and similar in others, estimating 2–3 dozen duplicates mishandled. - Around 4:30 AM on November 4, 2020, approximately 50,000 ballots (boxes of ~600 each) were brought in from the rear entrance. - No Trump votes in a dozen sampled duplicates from his 6:00 AM–2:00 PM shift; only one Trump duplicate seen all night. - Room access blocked at 2:00 PM, citing COVID capacity. COLONEL PHIL WALDRON: Presented evidence of turnout impossibilities, vote spikes exceeding machine capacities, and vulnerabilities in Dominion systems. He cited high error rates and potential foreign interference, referencing affidavits and forensic audits. - 643 precincts with over 80% turnout, 21 over 90%, 10 exactly 100%, and 6 over 120%. - Vote spikes: 16,000 absentee votes by 6:52 AM on November 4; +213,429 more from 6:52–7:49 AM; 56,098 votes in an 8-minute period at 11:15 AM (machines max ~20,000 votes per hour). - Antrim County error rate of 8.3 (exceeding federal limit of 1 in 125,000 by ~750 times); 6,000-vote glitch. - 384,000 votes processed in 2 hours 38 minutes, exceeding capacity (max 100,000 at 2,000 per hour per machine). - 17,327 voters over age 80 who voted, cross-referenced with ~350 pages of obituaries. MONICA PALMER: Highlighted unbalanced precincts and defective ballot containers with broken chains of custody. She noted adjudication bottlenecks and insufficient time for review before certification, recommending more authority for canvassers. - 76% of absentee precincts unbalanced after the primary election. - 71% of counting boards unbalanced without explanation in the general election. - 400 unexplained unbalanced precincts in Wayne County. - Five damaged ballot containers (out of 50 purchased, ~30 defective) with gaps allowing tampering; not recounted. - Corrected voter lists received 13 days post-election, covering multiple precincts. It's time to get rid of all electronic voting machines, 3rd party access, end mail-in voting, and require voter ID and proof of citizenship, and move to paper only voting, or our elections will never be secure.

Election officials blow the lid off of the massive amount of deliberate and orchestrated FRAUD during the 2020 Election in Michigan. This tells you everything you need to know about our elections. JESSE JACOB: Claimed she was instructed by supervisors to backdate absentee ballot packages and ignore verification protocols, violating Michigan's Election Officials Manual. She observed widespread disregard for deadlines, signatures, and voter eligibility, leading to the processing of invalid ballots. At the TCF Center on November 4, 2020, she was told to enter false receipt dates and skip checks on problematic ballots, feeling harassed when she resisted. - Estimated 10,000–15,000 ballot packages prepared daily from September 22–30, 2020 (about 10 days), totaling around 100,000 false documents backdated by 3 days. - Handled 25,000–30,000 illegal second ballots across 23 satellite sites, issued without affidavits or returning originals. - Examined approximately 25,000 ballots over 1.5 days at TCF Center, with no Republican inspectors present. - Ballots issued after the November 2, 2020, 4:00 PM deadline (e.g., dated November 3) were backdated to November 2. MELISSA CARONE: Alleged she saw city workers repeatedly scanning the same batches of ballots without proper procedures, causing overcounts due to machine jams. She reported a data loss incident dismissed by her manager and claimed vans arrived late at night under the guise of delivering food but actually carrying ballots. She noted a lack of Republican oversight and untrained workers. - Batches of ballots run through tabulators 9–10 times without discarding originals, with jams occurring 2–3 times per hour per machine across 22–24 tabulators, leading to thousands of jams. - Estimated at least 30,000 ballots scanned multiple times. - Poll book off by more than 100,000 entries; turnout rate claimed at 120%. - Only about 3 Republicans observed the process. Trump was allegedly ahead by 100,000 votes before a data loss event. HIMA KOLANAGIREDDY: Described machine jams leading to improper handling of ballots and manual entries of unregistered voters. She claimed Democratic challengers intimidated GOP observers, and poll workers were hostile or untrained. She filed an affidavit with the Election Integrity Fund on November 4, 2020, including specific ballot details. - Tabulator machines jammed 3–4 times per hour; machines showed vote increments of 300–400 instead of resetting to zero. - 50–150 ballots in 2–3 boxes from Goddard Street were manually entered without verification, with birth dates like 1900 and no receipt dates (e.g., "November 0-"). - Sequential ballot numbers (e.g., 2232 followed by 2233) on mail-in ballots, which she claimed should not be sequential. ANDREW SITTO: Alleged theft of duplicate ballots and improper alterations to favor Democrats. He described a late-night delivery of ballots with no Trump votes and claimed challenges were ignored. Access to the counting room was blocked under false pretenses. - Workers stole 3–4 duplicate ballots at a time, with more than half a dozen thefts observed in his first shift and similar in others, estimating 2–3 dozen duplicates mishandled. - Around 4:30 AM on November 4, 2020, approximately 50,000 ballots (boxes of ~600 each) were brought in from the rear entrance. - No Trump votes in a dozen sampled duplicates from his 6:00 AM–2:00 PM shift; only one Trump duplicate seen all night. - Room access blocked at 2:00 PM, citing COVID capacity. COLONEL PHIL WALDRON: Presented evidence of turnout impossibilities, vote spikes exceeding machine capacities, and vulnerabilities in Dominion systems. He cited high error rates and potential foreign interference, referencing affidavits and forensic audits. - 643 precincts with over 80% turnout, 21 over 90%, 10 exactly 100%, and 6 over 120%. - Vote spikes: 16,000 absentee votes by 6:52 AM on November 4; +213,429 more from 6:52–7:49 AM; 56,098 votes in an 8-minute period at 11:15 AM (machines max ~20,000 votes per hour). - Antrim County error rate of 8.3 (exceeding federal limit of 1 in 125,000 by ~750 times); 6,000-vote glitch. - 384,000 votes processed in 2 hours 38 minutes, exceeding capacity (max 100,000 at 2,000 per hour per machine). - 17,327 voters over age 80 who voted, cross-referenced with ~350 pages of obituaries. MONICA PALMER: Highlighted unbalanced precincts and defective ballot containers with broken chains of custody. She noted adjudication bottlenecks and insufficient time for review before certification, recommending more authority for canvassers. - 76% of absentee precincts unbalanced after the primary election. - 71% of counting boards unbalanced without explanation in the general election. - 400 unexplained unbalanced precincts in Wayne County. - Five damaged ballot containers (out of 50 purchased, ~30 defective) with gaps allowing tampering; not recounted. - Corrected voter lists received 13 days post-election, covering multiple precincts. It's time to get rid of all electronic voting machines, 3rd party access, end mail-in voting, and require voter ID and proof of citizenship, and move to paper only voting, or our elections will never be secure.

The SCIF

50,478 次观看 • 8 个月前

Nobody asked AI to make this… but I’m glad i did Made with Pollo AI 365 days of unlimited MiniMax H3 unlimited generations, unlimited ideas. Prompt: Photoreal travel cinema, 16:9 24fps, spherical 35–50mm, 180° shutter, fine grain, mild halation. Nordic teal-grey skies, moss greens, warm skin; gold only if sun is in frame. Soft contrast. Real wind/hair/weight. 9 shots, HARD CUTS only. No dissolves, drone, FPV, crane, orbit, beauty filter, plastic skin, HDR, logos, phones, signs. 21.0s realtime. Thin white centered sans captions. Hold last frame. Unhurried coastal Norway + alpine meadows. Sincere, not an ad. LOCKS: bare face — no glasses/sunglasses on eyes. Vintage round goggles on forehead in B/C only, never on eyes. No hat ever (beanie, knit, red, silhouette). Hair down (A, 7–9) or rust-cream bandana (B/C). HER=image1: mid-20s, slim-athletic 168–172cm, long wavy dark hair in wind, real teeth, quiet contentment → unforced grin. Same person all shots. A (1,9): cream oversized knit, chocolate trousers, hair down, trail sneakers. B (2,3): sage long-sleeve, rust-cream bandana, goggles on forehead, black pack, brown trousers, sneakers. C (5,6): cream knit under teal-green vest, bandana + forehead goggles, brown trousers, sneakers. C var (7,8): same vest, hair down. Thin worn cord only; no logos. HIM: one man, late 20s, lean, dark messy hair, lived-in stubble, muted green/grey layers. Shots 4,7,8 only. Silent. Place: one N-European season — Lofoten granite into cold water, turf camps, misted hanging valleys, yellow-flower meadows, white/red fjord village. Milk/teal overcast except 7 sunset + 8 warm side-light. 1 0.0–2.2 CAMPSITE 35mm locked wide, slight rise. Grassy coastal camp, late overcast: green/rust/blue domes, dark-blue tunnel tent, jackets on grass. Atlantic left, granite massif. One seabird L→R upper third. HER A right third, three slow steps toward water, lifts face to the bird; hair/hem move. Tiny shore figures. Breath-handheld, no pan. END: still walking. 2 2.2–4.3 TRAIL 40mm. Dirt trail on grassy slope; teal fjord, sand crescent, tiny lot, red-roof farm below; milk overcast. HER B half-step to camera, right; pack tight, goggles on forehead, hair lifting. Turns to lens, real-eye smile. Slight follow. END: smiling mid-stride. 3 4.3–5.6 SHEEP 35mm 3/4 low. HER B crouched on berry-moss slope. One cream sheep, green ear tag. Palm on its back, one slow stroke, looking at it. Alpine lake in stone bowl behind, mist on ridge. END: stroke done. 4 5.6–8.2 MEADOW ground 24–28mm locked. Tall grass/flowers fill FG. HER+HIM on backs lower-left, heads close, toward sunlit peaks under green-gold sky. Light tee/layers; she shifts head, real breath. Spruce on walls. Grass may kiss lens. END: still lying. 5 8.2–11.2 FJORD 35mm follow from behind. HER C at dark still fjord; black-green peaks into water; harbor/vans far left. Two steps to water, arms wide palms-out, hair/vest lift. Pivots smiling, one arm toward lens. Eases to medium. Blur on turn only. END: faces camera, one arm out. 6 11.2–13.3 SUMMIT 35mm 3/4 from left. HER C sits onto pale granite (sit in-shot), knees in, tucks a strand, looks left along ridge then down-right at fjords, islands, white-red village. Private smile. Clouds drag peaks. Handheld eases closer. END: seated mid-look. 7 13.3–16.2 SUNSET low static 28mm. Two pack silhouettes L→R uphill through yellow globeflowers. Sun on ridge between them, orange flare into teal sky. HER right, hair loose, no hat outline, arms opening. HIM left, half-step back. FG flowers large/soft. END: mid-stride against sun. 8 16.2–19.0 BOOKS 40mm locked. Late meadow; pale mountain in warm side light beyond spruce. HER+HIM back-to-back in grass/yellow flowers, lower-right. She holds a paperback, head on his shoulder, turns a page, smiles at sky. He reads. END: page turned, still leaning. 9 19.0–21.0 BEACH static 50mm low. LOOK A. HER runs L→R on pale tidal beach, seaweed lines, hair streaming, wind in knit. Low mountains peach-sage dusk. Soft pink sea-thrift FG. Leg blur only. END: still running right, not exiting. 1/4/7/8/9 landscape+person; 2/5/6 human-forward, land still half. Breath-handheld only. Eyes sharp on faces; land sharp when land is the point. Light: 1 cool coastal; 2 milk-white; 3 wet mist; 4 thin sun+grass bounce; 5 cool, faces readable; 6 open wrap; 7 sunset cutouts; 8 warm rake on stone; 9 peach dusk. No rim/fill/smoke. Physics: wind in hair/knit/grass/straps; weighted steps; human gait; sheep has mass; pages turn by fingers; fjord water dark. Audio: original sparse warm acoustic + low wordless hum. VO close, unhurried, slight smile over 7–8, No speech, stock music, whooshes, known songs. One woman image_1i, one man. Same face/hair/body/season/grade. No extra close characters, hats, glasses on her eyes, phones, drones, logos, CGI, plastic skin, warped hands, extra fingers, extra text, 9:16, statue poses in ⅙

Nobody asked AI to make this… but I’m glad i did Made with Pollo AI 365 days of unlimited MiniMax H3 unlimited generations, unlimited ideas. Prompt: Photoreal travel cinema, 16:9 24fps, spherical 35–50mm, 180° shutter, fine grain, mild halation. Nordic teal-grey skies, moss greens, warm skin; gold only if sun is in frame. Soft contrast. Real wind/hair/weight. 9 shots, HARD CUTS only. No dissolves, drone, FPV, crane, orbit, beauty filter, plastic skin, HDR, logos, phones, signs. 21.0s realtime. Thin white centered sans captions. Hold last frame. Unhurried coastal Norway + alpine meadows. Sincere, not an ad. LOCKS: bare face — no glasses/sunglasses on eyes. Vintage round goggles on forehead in B/C only, never on eyes. No hat ever (beanie, knit, red, silhouette). Hair down (A, 7–9) or rust-cream bandana (B/C). HER=image1: mid-20s, slim-athletic 168–172cm, long wavy dark hair in wind, real teeth, quiet contentment → unforced grin. Same person all shots. A (1,9): cream oversized knit, chocolate trousers, hair down, trail sneakers. B (2,3): sage long-sleeve, rust-cream bandana, goggles on forehead, black pack, brown trousers, sneakers. C (5,6): cream knit under teal-green vest, bandana + forehead goggles, brown trousers, sneakers. C var (7,8): same vest, hair down. Thin worn cord only; no logos. HIM: one man, late 20s, lean, dark messy hair, lived-in stubble, muted green/grey layers. Shots 4,7,8 only. Silent. Place: one N-European season — Lofoten granite into cold water, turf camps, misted hanging valleys, yellow-flower meadows, white/red fjord village. Milk/teal overcast except 7 sunset + 8 warm side-light. 1 0.0–2.2 CAMPSITE 35mm locked wide, slight rise. Grassy coastal camp, late overcast: green/rust/blue domes, dark-blue tunnel tent, jackets on grass. Atlantic left, granite massif. One seabird L→R upper third. HER A right third, three slow steps toward water, lifts face to the bird; hair/hem move. Tiny shore figures. Breath-handheld, no pan. END: still walking. 2 2.2–4.3 TRAIL 40mm. Dirt trail on grassy slope; teal fjord, sand crescent, tiny lot, red-roof farm below; milk overcast. HER B half-step to camera, right; pack tight, goggles on forehead, hair lifting. Turns to lens, real-eye smile. Slight follow. END: smiling mid-stride. 3 4.3–5.6 SHEEP 35mm 3/4 low. HER B crouched on berry-moss slope. One cream sheep, green ear tag. Palm on its back, one slow stroke, looking at it. Alpine lake in stone bowl behind, mist on ridge. END: stroke done. 4 5.6–8.2 MEADOW ground 24–28mm locked. Tall grass/flowers fill FG. HER+HIM on backs lower-left, heads close, toward sunlit peaks under green-gold sky. Light tee/layers; she shifts head, real breath. Spruce on walls. Grass may kiss lens. END: still lying. 5 8.2–11.2 FJORD 35mm follow from behind. HER C at dark still fjord; black-green peaks into water; harbor/vans far left. Two steps to water, arms wide palms-out, hair/vest lift. Pivots smiling, one arm toward lens. Eases to medium. Blur on turn only. END: faces camera, one arm out. 6 11.2–13.3 SUMMIT 35mm 3/4 from left. HER C sits onto pale granite (sit in-shot), knees in, tucks a strand, looks left along ridge then down-right at fjords, islands, white-red village. Private smile. Clouds drag peaks. Handheld eases closer. END: seated mid-look. 7 13.3–16.2 SUNSET low static 28mm. Two pack silhouettes L→R uphill through yellow globeflowers. Sun on ridge between them, orange flare into teal sky. HER right, hair loose, no hat outline, arms opening. HIM left, half-step back. FG flowers large/soft. END: mid-stride against sun. 8 16.2–19.0 BOOKS 40mm locked. Late meadow; pale mountain in warm side light beyond spruce. HER+HIM back-to-back in grass/yellow flowers, lower-right. She holds a paperback, head on his shoulder, turns a page, smiles at sky. He reads. END: page turned, still leaning. 9 19.0–21.0 BEACH static 50mm low. LOOK A. HER runs L→R on pale tidal beach, seaweed lines, hair streaming, wind in knit. Low mountains peach-sage dusk. Soft pink sea-thrift FG. Leg blur only. END: still running right, not exiting. 1/4/7/8/9 landscape+person; 2/5/6 human-forward, land still half. Breath-handheld only. Eyes sharp on faces; land sharp when land is the point. Light: 1 cool coastal; 2 milk-white; 3 wet mist; 4 thin sun+grass bounce; 5 cool, faces readable; 6 open wrap; 7 sunset cutouts; 8 warm rake on stone; 9 peach dusk. No rim/fill/smoke. Physics: wind in hair/knit/grass/straps; weighted steps; human gait; sheep has mass; pages turn by fingers; fjord water dark. Audio: original sparse warm acoustic + low wordless hum. VO close, unhurried, slight smile over 7–8, No speech, stock music, whooshes, known songs. One woman image_1i, one man. Same face/hair/body/season/grade. No extra close characters, hats, glasses on her eyes, phones, drones, logos, CGI, plastic skin, warped hands, extra fingers, extra text, 9:16, statue poses in ⅙

K

41,763 次观看 • 25 天前

🥳Over 4000 of you have been on one of my online courses. 🤩I am proud that we have helped you create more Confidence in your Coaching. ❌So in 4 days I am taking all of my Courses OFFLINE ! 💡That’s over 100 hours of material, which have brought in most of my families income over the past three years, gone ☹️. Instead 😅😅😅😅😅😅😅 🔥 I am inviting 200 coaches to enroll on to our new Virtual Mentorship, where you will learn through “My Coaching Eye”. In addition I will give you a trial of vuemotion and tutorials on how to use PSR Solutions Speed Solutions Ryan Grubbs 10 of you will get free access due to my giveaways the past month. ⛳️4 more have the chance to win if you type into the comments the last word I say within the attached video. 🧐🧐🧐🧐🧐🧐🧐🧐🧐🧐🧐🧐🧐 🏃🏾I am going to spend the majority of January on a training camp with @reeceprescod , where daily I will ask, “What does it take , to run 9.8🧐?” 🧩🤓a challenging puzzle 🧩 🤓 💡If you want to have a CHANCE of an Olympic Medal in the 100m, you need to have a low 9.8 in your locker. 💡 😩Sub 10 is the new 10.0, it ain’t fast enough!😩 Interested in seeing how we work towards this❓❓❓❓ 🤔Most of the coaches I meet have their own “what does it take …?” for their sport. 🫱🏼‍🫲🏿I have spent the past 10 years helping them figure this out, creating a robust way to measure it, with systems to manage it. 🗣️I am inviting 200 coaches to enroll on to our new Virtual Mentorship where you can learn through “My Coaching Eye”. 🤝🏾This experience will provide … …📚formal modules of fundamental theory ….👨🏼‍🏫stories of application in the real world ….💬💻👨‍💻interactive video calls where we can discuss case studies . 💪🏼 💪🏼💪🏼💪🏼💪🏼💪🏼💪🏼💪🏼💪🏼💪🏼💪🏼💪🏼💪🏼 ✅“My Coaching Eye” will become YOUR Super Power. ✅It will help you maximise transfer across all levels of training and create a SHARED LANGUAGE between all departments of the performance team. 💡We will take you through 4 Chapters - 1) Fundamentals of Biomechanics 2) Measuring Game Speed actions 3) Coaching and Cueing 4) Planning and Periodisation ✅“My Coaching Eye” will accelerate your problem solving skills and empower you to develop your own system for your environment. Enrolment for Chapter 1 opens within the next 8 days and closes at the end of January or once we reach 200 members , which ever comes first. Then we will use February onwards for group calls, case studies and sharing my coaching journey. Join my newsletter to be first to receive access to enrolment! Now to select the winners from the past months giveaways.🥳🤩😉 If you made it this far and also want a chance of winning free access, comment the last word from the attached video!

🥳Over 4000 of you have been on one of my online courses. 🤩I am proud that we have helped you create more Confidence in your Coaching. ❌So in 4 days I am taking all of my Courses OFFLINE ! 💡That’s over 100 hours of material, which have brought in most of my families income over the past three years, gone ☹️. Instead 😅😅😅😅😅😅😅 🔥 I am inviting 200 coaches to enroll on to our new Virtual Mentorship, where you will learn through “My Coaching Eye”. In addition I will give you a trial of vuemotion and tutorials on how to use PSR Solutions Speed Solutions Ryan Grubbs 10 of you will get free access due to my giveaways the past month. ⛳️4 more have the chance to win if you type into the comments the last word I say within the attached video. 🧐🧐🧐🧐🧐🧐🧐🧐🧐🧐🧐🧐🧐 🏃🏾I am going to spend the majority of January on a training camp with @reeceprescod , where daily I will ask, “What does it take , to run 9.8🧐?” 🧩🤓a challenging puzzle 🧩 🤓 💡If you want to have a CHANCE of an Olympic Medal in the 100m, you need to have a low 9.8 in your locker. 💡 😩Sub 10 is the new 10.0, it ain’t fast enough!😩 Interested in seeing how we work towards this❓❓❓❓ 🤔Most of the coaches I meet have their own “what does it take …?” for their sport. 🫱🏼‍🫲🏿I have spent the past 10 years helping them figure this out, creating a robust way to measure it, with systems to manage it. 🗣️I am inviting 200 coaches to enroll on to our new Virtual Mentorship where you can learn through “My Coaching Eye”. 🤝🏾This experience will provide … …📚formal modules of fundamental theory ….👨🏼‍🏫stories of application in the real world ….💬💻👨‍💻interactive video calls where we can discuss case studies . 💪🏼 💪🏼💪🏼💪🏼💪🏼💪🏼💪🏼💪🏼💪🏼💪🏼💪🏼💪🏼💪🏼 ✅“My Coaching Eye” will become YOUR Super Power. ✅It will help you maximise transfer across all levels of training and create a SHARED LANGUAGE between all departments of the performance team. 💡We will take you through 4 Chapters - 1) Fundamentals of Biomechanics 2) Measuring Game Speed actions 3) Coaching and Cueing 4) Planning and Periodisation ✅“My Coaching Eye” will accelerate your problem solving skills and empower you to develop your own system for your environment. Enrolment for Chapter 1 opens within the next 8 days and closes at the end of January or once we reach 200 members , which ever comes first. Then we will use February onwards for group calls, case studies and sharing my coaching journey. Join my newsletter to be first to receive access to enrolment! Now to select the winners from the past months giveaways.🥳🤩😉 If you made it this far and also want a chance of winning free access, comment the last word from the attached video!

Jonas Dodoo

66,758 次观看 • 2 年前

After Elon Musk reposted my Grok Bot guide, my friend Ryan used it to run his strip club. 7 days ago, he replaced his entire middle management with 8 Grok agents ($200/mo). Last week alone, he saved $10,000 in salaries and missed leads. Not because the club magically got better, but because he killed the middle layer that was eating his margin. Before that, the setup was classic and expensive. Back-of-house sat on 6 people: > 1 recruiter > 1 person on applications > 1 cashier > 2 shift managers > 1 person on after-close requests That layer cost about $8,400–$9,200 a week once you counted base pay, cuts, “bonuses,” and money that never made the report. The recruiter took $50–$150 per new girl. The cashier spent 1.5–2 hours closing a shift. On Friday the managers generated 80–120 messages on the schedule alone. The after-shift person held 10–15 requests in his head and lost 2–3 of them every week simply because someone did not answer in time. Ryan saw the formula fast. Those people almost never made hard decisions. They moved data. • An application came in → a person opened a chat. • A girl wrote “I can do Friday” → a person typed a row into a spreadsheet. • A client left a request → a person relayed it to a manager. • The manager opened the schedule → and texted the girl. • The shift ended → the cashier counted a stack and entered a number by hand. Every handoff leaked time and money. Applications. A live staffer used to review 40–60 incoming files a week. One file took 8–12 minutes. Total: 7–10 hours of raw review, plus another 3–4 hours on “send a reminder,” “send more,” “when can you work.” Out of 50 applications, 6–8 made it to a shift. Conversion was weak not because of the room, but because half the threads went cold for 24–48 hours. Scheduling. Friday looked like this: 12 people want on, 8 slots. 1 can start only after 21:00. 1 will not work after 00:00. 1 drops out with 40 minutes left. 1 wants a swap. A manager already promised the slot to a fifth person. One change created 5 new messages. One substitution cycle took 20–40 minutes. By the end of the night there were 3–5 holes in the grid. Money. That was the dirtiest part. By morning the count was off by $180–$400 on average. Sometimes $70. Sometimes $600. The explanations were always human: tips booked to the wrong place, a commission forgotten, a number rounded, an envelope put in the wrong pile, a shift closed from memory. The cashier was not an analyst. He was a loss point. After-shift requests. The old chain took 25–45 minutes: client → manager → spreadsheet → message to the girl → wait → reply to the client. Out of 12 requests, 2–3 died in transit. Not because of a refusal. Because of human lag. 7 days ago Ryan cut that layer and hung it on Grok. The application flow dropped into one funnel with statuses: NEW → REVIEW → APPROVED → SCHEDULED → ACTIVE → INACTIVE The bot sent the first packet itself, collected the fields, and closed the gaps. If data was missing → it asked. If there was silence for 48 hours → it nudged. Ryan no longer opened 50 chats. He opened one feed. He touched only REVIEW and exceptions by hand. First-pass review fell from 8–12 minutes per application to 30–90 seconds of control. In a week, 53 applications went through the funnel. 11 made it to a shift. That was no longer “we got lucky.” That was because no application rotted in a manager’s DMs. The schedule became a rule, not a group chat. A girl marked available slots. The system saw 8 seats, not “we’ll figure it out.” Overbook went to a waitlist. A drop with 40 minutes left no longer spawned a 5-chat mess: the slot jumped to the next person in line in 10–20 seconds. Friday noise fell from 80–120 messages to 10–15 exceptions. Shift manager as a job title became unnecessary. The register stopped being a notebook. Every operation was written immediately. Shift close produced one summary: - floor revenue - tips - commissions - payouts - adjustments - variance If the total did not match, the system did not say “error somewhere.” It pointed at the exact operation. Over 7 days, variance stayed in the $0–$25 range instead of the old $180–$400. The weekly difference was about $1,200–$2,500 on “it didn’t add up” alone. The client loop collapsed from 4 human nodes into 1 route. A request entered the bot. The bot pulled the standard fields, checked availability, pinged the girl, and after 2 confirmations closed both sides with a notification. Cycle time fell from 25–45 minutes to 2–4 minutes on a standard request. Burned requests for the week: 0. Before that, it was 2–3 lost checks every week. Ryan’s role got narrow and hard. The bot closed the rule. He closed the exception. Morning looked like a panel, not a meeting: > 3 new applications in NEW > 1 card in REVIEW > 2 shift cancellations > 1 operation for manual review > 47 automated messages already sent without him The only living parts left were him and the girls on the floor. Plus anyone who took an after-shift call. The middle layer: sourcing, screening, schedule, requests, counting → sat on a $200 subscription. In numbers, the week looked like this. Old model: > 6 people in the management loop > $8,400–$9,200 for that layer > 7–10 hours on applications > 80–120 messages on one heavy Friday > $180–$400 holes in the cash > 2–3 lost requests > 25–45 minutes per client cycle New model: > 1 person > $200 for the tool > 30–90 seconds of standard application control > 10–15 exceptions instead of a whole-floor chat storm > $0–$25 on the register > 0 lost standard requests > 2–4 minutes per standard cycle That is where the ~$10,000 in 7 days came from. Not “floor magic.” A removed human tax: - pay for 6 people - recruiter cuts - cash holes - burned requests - hours spent moving the same row from a chat into a spreadsheet In this system, those people were not the “soul of the club.” They were latency and leak. Every extra node added delay. Every live data handoff added error. Every notebook added a gap for rounding. Ryan removed the nodes. He left rules, statuses, a ledger, and one escalation point. So after 7 days the model already counted as a delta, not an experiment. $200 on top. About $10,000 in the plus. And the proof was short: the club ran. The middle-layer staff did not. Their job was done by the bot. bookmark this.

After Elon Musk reposted my Grok Bot guide, my friend Ryan used it to run his strip club. 7 days ago, he replaced his entire middle management with 8 Grok agents ($200/mo). Last week alone, he saved $10,000 in salaries and missed leads. Not because the club magically got better, but because he killed the middle layer that was eating his margin. Before that, the setup was classic and expensive. Back-of-house sat on 6 people: > 1 recruiter > 1 person on applications > 1 cashier > 2 shift managers > 1 person on after-close requests That layer cost about $8,400–$9,200 a week once you counted base pay, cuts, “bonuses,” and money that never made the report. The recruiter took $50–$150 per new girl. The cashier spent 1.5–2 hours closing a shift. On Friday the managers generated 80–120 messages on the schedule alone. The after-shift person held 10–15 requests in his head and lost 2–3 of them every week simply because someone did not answer in time. Ryan saw the formula fast. Those people almost never made hard decisions. They moved data. • An application came in → a person opened a chat. • A girl wrote “I can do Friday” → a person typed a row into a spreadsheet. • A client left a request → a person relayed it to a manager. • The manager opened the schedule → and texted the girl. • The shift ended → the cashier counted a stack and entered a number by hand. Every handoff leaked time and money. Applications. A live staffer used to review 40–60 incoming files a week. One file took 8–12 minutes. Total: 7–10 hours of raw review, plus another 3–4 hours on “send a reminder,” “send more,” “when can you work.” Out of 50 applications, 6–8 made it to a shift. Conversion was weak not because of the room, but because half the threads went cold for 24–48 hours. Scheduling. Friday looked like this: 12 people want on, 8 slots. 1 can start only after 21:00. 1 will not work after 00:00. 1 drops out with 40 minutes left. 1 wants a swap. A manager already promised the slot to a fifth person. One change created 5 new messages. One substitution cycle took 20–40 minutes. By the end of the night there were 3–5 holes in the grid. Money. That was the dirtiest part. By morning the count was off by $180–$400 on average. Sometimes $70. Sometimes $600. The explanations were always human: tips booked to the wrong place, a commission forgotten, a number rounded, an envelope put in the wrong pile, a shift closed from memory. The cashier was not an analyst. He was a loss point. After-shift requests. The old chain took 25–45 minutes: client → manager → spreadsheet → message to the girl → wait → reply to the client. Out of 12 requests, 2–3 died in transit. Not because of a refusal. Because of human lag. 7 days ago Ryan cut that layer and hung it on Grok. The application flow dropped into one funnel with statuses: NEW → REVIEW → APPROVED → SCHEDULED → ACTIVE → INACTIVE The bot sent the first packet itself, collected the fields, and closed the gaps. If data was missing → it asked. If there was silence for 48 hours → it nudged. Ryan no longer opened 50 chats. He opened one feed. He touched only REVIEW and exceptions by hand. First-pass review fell from 8–12 minutes per application to 30–90 seconds of control. In a week, 53 applications went through the funnel. 11 made it to a shift. That was no longer “we got lucky.” That was because no application rotted in a manager’s DMs. The schedule became a rule, not a group chat. A girl marked available slots. The system saw 8 seats, not “we’ll figure it out.” Overbook went to a waitlist. A drop with 40 minutes left no longer spawned a 5-chat mess: the slot jumped to the next person in line in 10–20 seconds. Friday noise fell from 80–120 messages to 10–15 exceptions. Shift manager as a job title became unnecessary. The register stopped being a notebook. Every operation was written immediately. Shift close produced one summary: - floor revenue - tips - commissions - payouts - adjustments - variance If the total did not match, the system did not say “error somewhere.” It pointed at the exact operation. Over 7 days, variance stayed in the $0–$25 range instead of the old $180–$400. The weekly difference was about $1,200–$2,500 on “it didn’t add up” alone. The client loop collapsed from 4 human nodes into 1 route. A request entered the bot. The bot pulled the standard fields, checked availability, pinged the girl, and after 2 confirmations closed both sides with a notification. Cycle time fell from 25–45 minutes to 2–4 minutes on a standard request. Burned requests for the week: 0. Before that, it was 2–3 lost checks every week. Ryan’s role got narrow and hard. The bot closed the rule. He closed the exception. Morning looked like a panel, not a meeting: > 3 new applications in NEW > 1 card in REVIEW > 2 shift cancellations > 1 operation for manual review > 47 automated messages already sent without him The only living parts left were him and the girls on the floor. Plus anyone who took an after-shift call. The middle layer: sourcing, screening, schedule, requests, counting → sat on a $200 subscription. In numbers, the week looked like this. Old model: > 6 people in the management loop > $8,400–$9,200 for that layer > 7–10 hours on applications > 80–120 messages on one heavy Friday > $180–$400 holes in the cash > 2–3 lost requests > 25–45 minutes per client cycle New model: > 1 person > $200 for the tool > 30–90 seconds of standard application control > 10–15 exceptions instead of a whole-floor chat storm > $0–$25 on the register > 0 lost standard requests > 2–4 minutes per standard cycle That is where the ~$10,000 in 7 days came from. Not “floor magic.” A removed human tax: - pay for 6 people - recruiter cuts - cash holes - burned requests - hours spent moving the same row from a chat into a spreadsheet In this system, those people were not the “soul of the club.” They were latency and leak. Every extra node added delay. Every live data handoff added error. Every notebook added a gap for rounding. Ryan removed the nodes. He left rules, statuses, a ledger, and one escalation point. So after 7 days the model already counted as a delta, not an experiment. $200 on top. About $10,000 in the plus. And the proof was short: the club ran. The middle-layer staff did not. Their job was done by the bot. bookmark this.

Ridark

188,835 次观看 • 1 个月前

🚨12-HOUR NEWS RECAP 1. 🇺🇸 Trump insists China bears the brunt of his tariffs, citing over $5 trillion in investment as proof of U.S. economic resurgence. 2. 🇰🇷 South Korea launched a $2 billion emergency loan package to support its auto sector, anticipating an 18% export drop due to U.S. tariffs. 3. 🇻🇦 Pope Francis appeared publicly at the Vatican after five weeks in the hospital, greeted by cheering crowds despite his frail appearance. 4. 🇮🇷 Iran's foreign minister dismissed direct talks with the U.S. as futile but remained open to indirect negotiations despite escalating tensions. 5. 🇺🇸🇮🇱 The U.S. reinforced Israel’s missile defenses by deploying another THAAD anti-missile battery as threats from Iran and its allies increase. 6. 🇺🇸 Torrential storms across the U.S. South and Midwest have left at least 16 dead, including children, with flooding and evacuations expected to continue. 7. 🇺🇸 Health Secretary RFK Jr. is heading to Texas as a measles outbreak claims a second child’s life, pushing the state to 481 confirmed cases this year. 8. 🇺🇸 Two CBP officers in San Diego face charges for accepting bribes to allow vehicles carrying illegal immigrants through border checkpoints. 9. 🇺🇸 A resurfaced clip of Blake Lively joking about Henry Golding may undermine her harassment claims against Justin Baldoni, serving as potential key evidence. 10. 🇨🇴 Colombia’s Comuneros del Sur rebel faction disarmed, signed peace agreements, and renounced violence, marking progress in President Gustavo Petro’s peace efforts. David Pollack

🚨12-HOUR NEWS RECAP 1. 🇺🇸 Trump insists China bears the brunt of his tariffs, citing over $5 trillion in investment as proof of U.S. economic resurgence. 2. 🇰🇷 South Korea launched a $2 billion emergency loan package to support its auto sector, anticipating an 18% export drop due to U.S. tariffs. 3. 🇻🇦 Pope Francis appeared publicly at the Vatican after five weeks in the hospital, greeted by cheering crowds despite his frail appearance. 4. 🇮🇷 Iran's foreign minister dismissed direct talks with the U.S. as futile but remained open to indirect negotiations despite escalating tensions. 5. 🇺🇸🇮🇱 The U.S. reinforced Israel’s missile defenses by deploying another THAAD anti-missile battery as threats from Iran and its allies increase. 6. 🇺🇸 Torrential storms across the U.S. South and Midwest have left at least 16 dead, including children, with flooding and evacuations expected to continue. 7. 🇺🇸 Health Secretary RFK Jr. is heading to Texas as a measles outbreak claims a second child’s life, pushing the state to 481 confirmed cases this year. 8. 🇺🇸 Two CBP officers in San Diego face charges for accepting bribes to allow vehicles carrying illegal immigrants through border checkpoints. 9. 🇺🇸 A resurfaced clip of Blake Lively joking about Henry Golding may undermine her harassment claims against Justin Baldoni, serving as potential key evidence. 10. 🇨🇴 Colombia’s Comuneros del Sur rebel faction disarmed, signed peace agreements, and renounced violence, marking progress in President Gustavo Petro’s peace efforts. David Pollack

Mario Nawfal

134,890 次观看 • 1 年前

A Heartfelt Thank You to Our Fixing Heroes As we celebrate the successful summits of Kangchenjunga this season, I want to take a moment to express my deepest gratitude to our incredible fixing team who made this possible. This year has been particularly challenging, with a backlog of summits and the notoriously tough conditions that Kangchenjunga presents. Despite these obstacles, our dedicated fixing team worked tirelessly, carrying 11km of ropes, tons of snow bars, screws, rock pitons, and all the essential equipment needed to prepare the route. Everything was taking three times longer due to deep snow and harsh weather conditions. To be very accurate, (*I measured on my second summit attempt, the vertical height left to summit was less than 50 meters and the rope required was only 250m - which we had also left on the point of turn around so others could use.) It's crucial that we acknowledge the hard work and sacrifices of these unsung heroes. Today, I want to shine a light on Kanchenjunga fixing team: 1. Sandip Gurung (Climbing guide) 2. Sandesh Sherpa (Climbing guide) 3. Ramesh Gurung (Climbing guide/Cameraman) 4. Lakpa Tenjen (Turkey) (Climbing guide) 5. Phuri Kittar Sherpa (Climbing guide) 6. Buddha Bahadur Gurung (Climbing guide) 7. Ngima Dawa Sherpa (Climbing guide) 8. Rinji Sherpa (Climbing guide)9. Mitra Bahadur Tamang (Climbing guide) I've seen many posts celebrating the summit, but it’s heartbreaking that the efforts of these remarkable individuals often go unnoticed. Your dedication and resilience are what keep the spirit of adventure alive. I’m proud and lucky to lead such an incredible team. I have seen their work first hand through and through. Even on the day we turned around, it was tough but I chose safety over anything else. So, here's to you, the legends of the mountain! Thank you for your unwavering support and hard work. Without you, this season's success wouldn’t have been possible. My hat goes off to each and every one of you! #kanchenjunga #eliteexped #ropefixingteam #mountainheroes #Nepal #bigmountaincommunity #sevensummits #14peaks #Nimsdai

A Heartfelt Thank You to Our Fixing Heroes As we celebrate the successful summits of Kangchenjunga this season, I want to take a moment to express my deepest gratitude to our incredible fixing team who made this possible. This year has been particularly challenging, with a backlog of summits and the notoriously tough conditions that Kangchenjunga presents. Despite these obstacles, our dedicated fixing team worked tirelessly, carrying 11km of ropes, tons of snow bars, screws, rock pitons, and all the essential equipment needed to prepare the route. Everything was taking three times longer due to deep snow and harsh weather conditions. To be very accurate, (*I measured on my second summit attempt, the vertical height left to summit was less than 50 meters and the rope required was only 250m - which we had also left on the point of turn around so others could use.) It's crucial that we acknowledge the hard work and sacrifices of these unsung heroes. Today, I want to shine a light on Kanchenjunga fixing team: 1. Sandip Gurung (Climbing guide) 2. Sandesh Sherpa (Climbing guide) 3. Ramesh Gurung (Climbing guide/Cameraman) 4. Lakpa Tenjen (Turkey) (Climbing guide) 5. Phuri Kittar Sherpa (Climbing guide) 6. Buddha Bahadur Gurung (Climbing guide) 7. Ngima Dawa Sherpa (Climbing guide) 8. Rinji Sherpa (Climbing guide)9. Mitra Bahadur Tamang (Climbing guide) I've seen many posts celebrating the summit, but it’s heartbreaking that the efforts of these remarkable individuals often go unnoticed. Your dedication and resilience are what keep the spirit of adventure alive. I’m proud and lucky to lead such an incredible team. I have seen their work first hand through and through. Even on the day we turned around, it was tough but I chose safety over anything else. So, here's to you, the legends of the mountain! Thank you for your unwavering support and hard work. Without you, this season's success wouldn’t have been possible. My hat goes off to each and every one of you! #kanchenjunga #eliteexped #ropefixingteam #mountainheroes #Nepal #bigmountaincommunity #sevensummits #14peaks #Nimsdai

Nirmal Purja MBE

12,060 次观看 • 1 年前

Zelda II released for Famicom January 14, 1987 (yes, I’m a few days late!). I honestly love this game and thought it would be fun to cover 10 ways the NES release is different from Famicom! 1. The NES version rewrites the intro, removes the second “n” from Ganon’s and reference to “another” sleeping Zelda, and refers to palaces rather than sanctuaries. 2. NES introduces an ominous red game over screen, removes the second “” from Ganon and incorporates his taunting laugh, which is reused from Mike Tyson’s Punch Out!! (Released September 18, 1987, while the NES version released Dec. 1, 1988). 3. Link’s sprite has a visible mouth in the NES version absent in Famicom’s. 4. Additional Pillars are added to Zelda’s North Palace chamber for NES. 5. Roaming monsters are more distinct in the NES version. 6. Link’s NES raft sprite in faces right while Famicom’s is forward. 7. Famicom used fewer brick palates for Palaces, with NES including more colors. 8. The 4the boss, Carock at Maze Island, only faces forward for Famicom but can face left or right for NES. 9. The 5th Palace boss for Famicom pits players against a stronger version Helmethead reused from the 2nd Palace, while the NES introduces a new boss, Gooma. 10. The River devil appears as an oni (devil) rather than a spider like creature. This is not exhaustive and I’d love to cover more at a later date! Thank you for watching as I try something new!

Zelda II released for Famicom January 14, 1987 (yes, I’m a few days late!). I honestly love this game and thought it would be fun to cover 10 ways the NES release is different from Famicom! 1. The NES version rewrites the intro, removes the second “n” from Ganon’s and reference to “another” sleeping Zelda, and refers to palaces rather than sanctuaries. 2. NES introduces an ominous red game over screen, removes the second “” from Ganon and incorporates his taunting laugh, which is reused from Mike Tyson’s Punch Out!! (Released September 18, 1987, while the NES version released Dec. 1, 1988). 3. Link’s sprite has a visible mouth in the NES version absent in Famicom’s. 4. Additional Pillars are added to Zelda’s North Palace chamber for NES. 5. Roaming monsters are more distinct in the NES version. 6. Link’s NES raft sprite in faces right while Famicom’s is forward. 7. Famicom used fewer brick palates for Palaces, with NES including more colors. 8. The 4the boss, Carock at Maze Island, only faces forward for Famicom but can face left or right for NES. 9. The 5th Palace boss for Famicom pits players against a stronger version Helmethead reused from the 2nd Palace, while the NES introduces a new boss, Gooma. 10. The River devil appears as an oni (devil) rather than a spider like creature. This is not exhaustive and I’d love to cover more at a later date! Thank you for watching as I try something new!

Christina Rose

18,788 次观看 • 8 个月前