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[ AVATR—CLL® ] 🟢 PREMINT { W7 } : 30 WL ACTIVE // Traits Masterfully created // Unreal Engine 5 // Engineered to perform in VR // Ready-to-Wear CREATE. GRØW. AVØLVE.

AVØLVE

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12,454 просмотров • 3 лет назад •via X (Twitter)

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We did it. We created the 1st VR Ordinal inscribed directly into Bitcoin. This digital artifact, part of Penrose award-winning film Allumette, may appear unassuming, but she's a technical marvel. Her existence was realized through cutting-edge advancements, such as recursive Ordinals. The complexity? Our VR films, made with Unreal Engine & Unity, have file sizes in the gigabytes. Contrast that with the kilobytes / megabytes in the BTC blockspace available for inscribing data. The innovative solutions to bridge this gap were challenging but fascinating. Happy to share more if there's interest. Props to the gifted group who created her, including some talented & generous humans. But not least of all GenAI, whose essential contributions continue to be a cornerstone of our efforts. This achievement is just the first step in demonstrating what's possible in the integration of VR & blockchain. More developments to come.

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Created with Seedance 2.0 Prompt: Fast-paced, hyper-realistic cinematic action video of a young female soccer player with long dark hair, wearing glasses and a red and green Portugal-themed jersey, playing in a packed stadium. Sparks fly as she dribbles. The camera cuts to her rocketing into the sky above the clouds, where a massive glowing fire dragon coils around her as she performs an acrobatic bicycle kick on a soccer ball. Cut back to the stadium: she strikes the ball, sending a trail of intense fire toward the goal. The ball shatters a massive glass wall in front of the net, knocking the goalkeeper back into an explosion of smoke. The player lands gracefully back on the pitch, surrounded by a ring of fire, smiling as the fire dragon swirls majestically behind her. High contrast, dynamic lighting, 8k resolution, photorealistic textures, Unreal Engine 5 render style.

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The future of AI video creation is almost here. ByteDance's Dreamina Seedance 2.5 is coming soon, launching globally first on the Dreamina platform. Since Dreamina Seedance 2.5 hasn't launched yet, I created this video using Dreamina Seedance 2.0 to preview what's coming next. Here's what makes Dreamina Seedance 2.5 exciting: ✅ Omni Reference: Support for up to 50 reference assets, including images, videos, and audio, for more accurate and controllable video creation. ✅ 30-Second AI Videos: Generate up to 30 seconds of continuous, consistent storytelling in a single clip. ✅ Professional Editing: Fine-grained refinements, timestamp-based editing, and green screen support for greater creative control. ✅ Multilingual Creation: Create videos in 10+ languages with native language support. Workflow: AI Video → Dreamina Seedance 2.5 → Omni Reference → Upload images, videos & audio → Enter your prompt → Generate Whether you're a content creator, marketer, designer, or filmmaker, Dreamina Seedance 2.5 is shaping up to be one of the most exciting AI video launches of the year. Learn more and get ready for Dreamina Seedance 2.5: #dreamina #dreaminapartner #seedance #dreaminaseedance25

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⚽️ 8v6 Phase of Play | Attacking Wide Areas| Cutbacks + Crosses Created on: TacticalPad® ☑️ Aim: ✔️ Combine in wide areas and create scoring chances using crosses or cutbacks. ☑️ Space and Set Up: ✔️ Half pitch: Funnel pitch toward mini goals. ✔️ 3 Mini Goals in a line centrally 🥅. Approx 5-8 yards from centre circle ⭕️. ✔️ Attacks are alternate ⚽️1️⃣: ⚫️s try to combine and score in large goal. ⚽️2️⃣: 🔴s build up and score in mini goals. ☑️ Play the Game: ✔️🔴s defend the large goal and score in any of the 3 x mini goals 🥅. They line up in a 1-4-3. ✔️ ⚫️s score in the large goal and defend the 3x mini goals 🥅. ✔️ ⚫️s line up in a 3-3 but they have 2xFB operate on the diagonal lines of the pitch. The FBs are behind the attack to recycle the ball ⚽️ for the ⚫️s. ☑️ Notes: ✔️ Encourage ⚫️s to use 2 and 3 player combinations to get behind the 🔴s defence. ✔️ Playing wide is a preference but if the 🔴s offer a clear central route to goal then use it. ✔️ Wall passing, Set passes, Overlaps and Underlaps are great moves to help players create chances. 🔁 Flip the roles of the players to allow them to practice attacking and defending. Temisan Williams @TheCoachesArea Lloyd Owers @FootballTrnng Brett Godwin The Sporting Resource Felix Lehmann @ExchangeCoaches The Coaching Family @RJPcoach TheBeardedCoach 205 Academy Tom Skeath Breakthrough Soccer 𝗙𝗖𝗖 𝗛𝘂𝗯 | 𝗙𝗼𝗼𝘁𝗯𝗮𝗹𝗹 𝗖𝗼𝗮𝗰𝗵 goTeam! Sports 🇬🇧 🇺🇸

⚽️ 8v6 Phase of Play | Attacking Wide Areas| Cutbacks + Crosses Created on: TacticalPad® ☑️ Aim: ✔️ Combine in wide areas and create scoring chances using crosses or cutbacks. ☑️ Space and Set Up: ✔️ Half pitch: Funnel pitch toward mini goals. ✔️ 3 Mini Goals in a line centrally 🥅. Approx 5-8 yards from centre circle ⭕️. ✔️ Attacks are alternate ⚽️1️⃣: ⚫️s try to combine and score in large goal. ⚽️2️⃣: 🔴s build up and score in mini goals. ☑️ Play the Game: ✔️🔴s defend the large goal and score in any of the 3 x mini goals 🥅. They line up in a 1-4-3. ✔️ ⚫️s score in the large goal and defend the 3x mini goals 🥅. ✔️ ⚫️s line up in a 3-3 but they have 2xFB operate on the diagonal lines of the pitch. The FBs are behind the attack to recycle the ball ⚽️ for the ⚫️s. ☑️ Notes: ✔️ Encourage ⚫️s to use 2 and 3 player combinations to get behind the 🔴s defence. ✔️ Playing wide is a preference but if the 🔴s offer a clear central route to goal then use it. ✔️ Wall passing, Set passes, Overlaps and Underlaps are great moves to help players create chances. 🔁 Flip the roles of the players to allow them to practice attacking and defending. Temisan Williams @TheCoachesArea Lloyd Owers @FootballTrnng Brett Godwin The Sporting Resource Felix Lehmann @ExchangeCoaches The Coaching Family @RJPcoach TheBeardedCoach 205 Academy Tom Skeath Breakthrough Soccer 𝗙𝗖𝗖 𝗛𝘂𝗯 | 𝗙𝗼𝗼𝘁𝗯𝗮𝗹𝗹 𝗖𝗼𝗮𝗰𝗵 goTeam! Sports 🇬🇧 🇺🇸

JUST COACH

22,868 просмотров • 2 лет назад

A 19-year-old student from China, Zhang Wei, developed an AI radar and sold it to Hong Kong for $550,000 He created it using Claude, spending just $20 and a month on development He walked into the Hong Kong administration office with a flash drive and asked for just 5 minutes of their time. 30 minutes later, he walked out with a check for $550,000 The code, connected to a camera, detects speed in real time. If the speed exceeds the limit, Claude takes a video clip and identifies the owner by the car's license plate. The video and the fine are then automatically sent to the owner's email address Unlike a conventional radar that only takes a photo and doesn't always work, this AI radar eliminates disputes because it captures video and makes the process fully autonomous by sending out the fines on its own The article includes the ready-to-use configurations.

A 19-year-old student from China, Zhang Wei, developed an AI radar and sold it to Hong Kong for $550,000 He created it using Claude, spending just $20 and a month on development He walked into the Hong Kong administration office with a flash drive and asked for just 5 minutes of their time. 30 minutes later, he walked out with a check for $550,000 The code, connected to a camera, detects speed in real time. If the speed exceeds the limit, Claude takes a video clip and identifies the owner by the car's license plate. The video and the fine are then automatically sent to the owner's email address Unlike a conventional radar that only takes a photo and doesn't always work, this AI radar eliminates disputes because it captures video and makes the process fully autonomous by sending out the fines on its own The article includes the ready-to-use configurations.

Bober_smart

4,326,005 просмотров • 2 месяцев назад

Ling-3.0-flash is built as a fast, reliable execution engine for agent workflows. It shines in long-running tasks, tool calling, and high-volume production work where speed and stability matter more than massive reasoning depth. At 124B parameters with only 5.1B active, it keeps costs low while delivering quick responses and strong instruction following I ran a practical task using Ling-3.0-flash capabilities (based on its documented agent strengths in coding and tool use). Real Test Run I tested Ling-3.0-flash on a content creation task that matches your workflow. I asked it to generate a short, viral-style YouTube Shorts script for football highlights, including captions, title suggestions, and thumbnail ideas. Input Prompt: "Create a 30-second YouTube Shorts script for a dramatic Ronaldo goal from the 2026 World Cup qualifiers. Include engaging English narration, 3 multilingual caption versions (English, Spanish, Portuguese), a catchy title, and thumbnail description. Make it feel real and exciting for football fans." Process: The model first outlined the structure: intro hook, key action description, emotional peak, and call to action. It generated the script, then created caption variants, optimized the title for clicks, and suggested a thumbnail layout. It handled iterations well when I asked for adjustments, such as making it more dramatic or adding player stats. Total interaction took under 2 minutes with low token use. Result: - Script: Solid, ready-to-record narration with natural flow. - Captions: High-quality and culturally adapted. - Title & Thumbnail: Click-worthy and on brand. This demonstrates its strength for creators who need fast, high-quality content assets. Official account : Demo:

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