AirPods Max 2 - Same Design/Same Case - Up... to 1.5x more effective ANC - Powered by H2 - More natural Transparency - New high dynamic range amplifier - Live Translation - Camera remote - Studio-quality audio recording £499/$549 Preorder 25 March Available Early Aprilshow more

These are the Rokid Glasses A pair of smart... glasses very similar to the Meta RayBan but powered by the AR1, with the addition of a Monochrome binocular Waveguide display for Live translation, Ai recognition, teleprompter, navigation and more. Plus like the RayBan camera and audio. The live translation was surprisingly good, and fast. They are already available in China. Hopefully we will get them in the US soon! They are just 49 grams! It's crazy to see how the smart glasses are evolving fast. #CES2025 #rokid The last video is from their Air Max 2 6DoF version, for AR at the museum!show more

What if luxury livestream shopping ads could be generated... entirely with AI? From the influencer, to the boutique, to the product showcase, every frame was created with GPT Image 2 and Seedance on BudgetPixel AI The future of social commerce content is here. Prompt: 15s ultra-realistic vertical smartphone livestream advertisement, 16:9 aspect ratio, luxury social-commerce style. Use @[char ref] and @[storyboard ref]. Follow the scene sequence with seamless continuity and fast-paced livestream energy. 0:00–0:02 — Livestream opens. Front phone-camera perspective with slight handheld movement. The host smiles warmly while holding a premium black quilted crossbody handbag toward the lens. A realistic illuminated sign reading "TOKYO LIVE FLASH SALE" glows naturally in the background. Dialogue: "Hi everyone~ look at this beautiful bag." 0:02–0:04 — Medium close-up. She rotates the handbag slowly, showing the quilted pattern and gold hardware while maintaining friendly eye contact. Dialogue: "So elegant, right?" 0:04–0:06 — Extreme macro close-up. Her fingers gently glide across the quilted leather texture and premium clasp. Warm highlights reflect realistically across the material. Dialogue: "Soft, premium, luxury." 0:06–0:08 — Top-down product demonstration. She opens the bag and places a smartphone, wallet, lipstick, and power bank inside. Shopping notifications appear. Dialogue: "Everything fits perfectly." 0:08–0:10 — Tracking shot. She wears the bag crossbody and walks naturally through the boutique. Hair moves softly as she turns and smiles. Dialogue: "So comfortable." 0:10–0:12 — Full-body fashion shot. She poses naturally, showing how the bag complements her outfit. Viewer count rises rapidly. Dialogue: "Matches every look." 0:12–0:14 — Dynamic push-in. Realistic LED-style sale graphics illuminate behind her: TOKYO LIVE FLASH SALE 50% OFF LIMITED TIME Countdown Timer Dialogue: "Fifty percent off today!" 0:14–0:15 — Hero product close-up. She brings the handbag toward the camera with a warm smile as hearts and comments flood the screen. Dialogue: "Shop now before it's gone." Audio: Upbeat Japanese city-pop instrumental, subtle livestream notification sounds, floating-heart effects, boutique ambience. Photorealistic live action, natural facial expressions, realistic motion, luxury commercial quality, high-conversion livestream energy. Maintain the same host, same hairstyle, same makeup, same outfit, same handbag, same boutique environment, same lighting, and same sale branding throughout the entire video. No subtitles. No watermark. Strong product focus. Premium luxury fashion-commercial quality.show more

Gemini Omni Flash on Pollo AI. Prompt: Main Subject:... The same young Korean woman appears throughout the entire video. Early 20s, natural everyday appearance, faded charcoal-gray sleeveless crop top, loose high-waisted light-wash jeans, black canvas sneakers, black cord necklace, black wavy hair styled in a messy side ponytail with wispy bangs. Realistic skin texture, minimal makeup, warm and approachable personality. Maintain identical facial features, hairstyle, body type, clothing, accessories, and overall appearance in every shot. Do not change identity, outfit, age, or styling between scenes. Location: An authentic Korean residential neighborhood during a peaceful late morning. Narrow concrete alleys, low-rise homes, potted plants, laundry lines, bicycles, utility poles, overhead wires, mature trees casting moving shadows, and quiet residential surroundings. No shops, cafés, advertisements, crowds, or commercial activity. Visual Style: Ultra-realistic documentary realism. Authentic slice-of-life moments captured naturally rather than staged. Genuine body language, believable human motion, strong environmental authenticity, and rich everyday details. Prioritize realism over beauty and natural behavior over performance. Camera Style: Early-2000s consumer DV camcorder footage. Feels like a friend casually recording everyday moments. Heavy handheld shake, imperfect framing, autofocus hunting, lens breathing, occasional motion blur, rolling shutter artifacts, mild digital compression, faded colors, soft contrast, subtle sensor noise, exposure fluctuations between sunlight and shade, and delayed camera reactions. No stabilization, no cinematic camera movement, no modern color grading, no commercial polish. Continuity Requirements: All scenes occur during the same late morning in the same neighborhood. Maintain consistent lighting, weather, clothing, hairstyle, and environmental continuity throughout the entire video. 00:00–00:02 Outside a modest house entrance. She sits on a low concrete wall adjusting her ponytail with both hands. A gentle breeze moves loose strands of hair. She smiles naturally while the camcorder struggles to maintain focus. 00:02–00:04 Walking through a narrow residential alley lined with potted plants and concrete walls. A stray cat approaches. She crouches down and gently pets it while the camera framing drifts slightly off-center as the operator tries to keep up. 00:04–00:06 In a small front yard beside her house, she hangs laundry on a clothesline. Fabrics sway softly in the breeze. Exposure subtly changes as clouds briefly pass overhead. 00:06–00:08 Seated comfortably on a quiet terrace holding a ceramic coffee cup. She watches the neighborhood and casually brushes hair behind her ear. Loose handheld side-angle framing with natural camera drift. 00:08–00:10 She walks slowly down a tree-lined residential lane holding her coffee cup. She notices the camera, gives a small genuine smile, then looks away and continues walking. The recording abruptly cuts to black mid-motion as if the camcorder was switched off. Audio: Natural ambient sound only. Morning birds, distant motorcycles, light wind, rustling leaves, faint neighborhood chatter, occasional cat sounds, footsteps on concrete, laundry moving on clotheslines, and subtle residential ambience. No music, narration, voice-over, or cinematic sound design. Goal: Create a highly believable early-2000s Korean home-video recording captured casually by a friend during an ordinary late morning. The footage should feel warm, candid, imperfect, and deeply authentic. Emphasize genuine human behavior, environmental realism, imperfect camera operation, and strong continuity. Avoid cinematic aesthetics, influencer-style content, commercial production value, dramatic storytelling, or modern social-media visuals.show more

Rainy morning, unexpected rescue. Sometimes kindness finds you. Created... with Seedance 2.5. Prompt: Create a 15-second ultra-realistic cinematic emotional video set on a rainy morning. Maintain the same young woman and the same small kitten consistently throughout every scene. Natural acting, realistic physics, detailed rain, cinematic lighting, smooth camera movement, shallow depth of field, realistic facial expressions, and seamless scene transitions. Scene 1 — Breakfast on a Rainy Morning (0–3s) Inside a cozy modern home during early morning. A young woman with long straight dark hair is sitting at a dining table, peacefully eating breakfast. Warm natural morning light enters through the large window. Her breakfast, a cup of tea/coffee, and simple tableware are visible. Outside the window, the sky is dark and rain is beginning to fall. The atmosphere feels calm and cozy. Camera: Medium cinematic shot, slowly pushing toward the woman. Scene 2 — She Notices the Rain (3–5s) The woman suddenly hears the sound of heavy rain. She pauses while eating and looks toward the window. The camera moves closer to her face as she notices the rain falling heavily outside. Raindrops cover the glass, with a realistic rainy neighborhood visible in the background. Camera: Close-up on her face, then rack focus from her face to the rain-covered window. Scene 3 — The Kitten Is Trapped (5–7s) Cut to outside. A tiny fluffy kitten is stranded in a corner beside a wall and some plants. The kitten is completely soaked by the rain, shivering and looking frightened. Water is flowing across the ground and rain is falling heavily around it. The kitten tries to move but is trapped in the narrow sheltered corner. Camera: Low-angle close-up of the wet kitten, with cinematic rain droplets and realistic fur detail. Scene 4 — The Rescue (7–10s) The woman quickly grabs an umbrella and runs outside. She kneels beside the frightened kitten, carefully reaches toward it, and gently picks it up. She protects the kitten from the rain with the umbrella and wraps it in a soft cloth or her jacket. Camera: Dynamic handheld cinematic movement following her outside, then a close-up as she gently lifts the kitten. Scene 5 — Bringing the Kitten Home (10–13s) She carries the kitten back inside her warm home. The scene transitions from the cold blue rainy exterior to a warm, cozy interior. She places the kitten gently on a soft towel and carefully dries its wet fur. The kitten begins to relax and feel safe. Camera: Smooth tracking shot following her through the doorway, followed by a warm close-up of the woman drying the kitten. Scene 6 — Happy Ending (13–15s) The kitten is now warm, dry, and safe. The woman gently holds it against her chest and smiles with relief. The kitten looks comfortable and calm in her arms. Warm morning light fills the room while rain continues softly outside the window. Camera: Emotional close-up, slow cinematic push-in, ending on the woman and kitten together. Visual Style Ultra-realistic cinematic photography, emotional storytelling, realistic human movement, realistic kitten behavior, detailed wet fur, natural skin texture, physically accurate rain and water reflections, soft morning light, realistic interior lighting, shallow depth of field, subtle film grain, high dynamic range, smooth camera transitions, premium cinematic color grading. Audio Soft realistic rain ambience, gentle breakfast sounds, distant thunder, footsteps on wet ground, umbrella opening, subtle emotional background music, soft kitten meows, and warm peaceful music during the final scene. Negative Prompt No cartoon style, no animation, no distorted faces, no changing character appearance, no extra fingers, no deformed hands, no duplicate kitten, no duplicate people, no unnatural movements, no floating objects, no unrealistic rain, no exaggerated expressions, no sudden camera jumps, no text, no subtitles, no watermark, no logos.show more

HERMES AGENT NOW RUNS CLAUDE OPUS 5. NEAR FABLE... 5 INTELLIGENCE. HALF THE PRICE. SELF-VERIFIES ITS OWN WORK. AVAILABLE TODAY VIA NOUS PORTAL (20% OFF ALL MODELS). Anthropic shipped Opus 5 on July 24, 2026. same $5/$25 per million tokens as Opus 4.8. but the benchmarks tell a different story. WHAT CHANGED FROM OPUS 4.8: FrontierBench v0.1: Opus 5: 43.3%. Opus 4.8: 18.7%. 2.3x jump on the same test. ARC-AGI-3: Opus 5: 30.2%. 3x better than the next closest model. beat Fable 5 on 8 out of 13 benchmarks. at half the cost ($5/$25 vs $10/$50). same price as Opus 4.8. twice the intelligence. no reason to stay on 4.8. THE SPECS: model ID: claude-opus-5 context: 1M tokens (default and maximum) max output: 128K tokens thinking: on by default effort toggle: low / medium / high per request fast mode: $10/$50, 2.5x faster knowledge cutoff: May 2026 minimum cacheable prompt: 512 tokens (was 1,024) SELF-VERIFICATION (the biggest change): Opus 5 checks its own work automatically. Anthropic says: delete your verification prompts. "include a final verification step" now causes OVER-verification because the model already does it. for Hermes /goal tasks this is a direct upgrade. the judge checks evidence. the model also checks evidence. double layer of verification without extra tokens. EFFORT TOGGLE: low: fast, cheap, routine work. medium: balanced, daily tasks. high: full reasoning, complex problems. set per request. not a global switch. matches Hermes /reasoning command: /reasoning low (routine) /reasoning high (complex) Opus 5 effort toggle + Hermes reasoning control = precise cost management per turn. WHERE OPUS 5 FITS IN HERMES: DAILY DRIVER (replaces Opus 4.8): same price. 2.3x better benchmarks. set as your main model: Desktop app / Dashboard: Models → claude-opus-5 CHIEF OF STAFF: synthesis across multiple agents. reads Kanban, prioritizes, routes tasks. self-verification catches routing errors before they cascade. COMPLEX CODING: SOTA on agentic coding benchmarks. FrontierBench 43.3% = best public model for coding. set as coder profile model. /GOAL TASKS: self-verification + completion contracts = the model proves its work AND double-checks the proof. long-horizon goals finish correctly more often. MoA AGGREGATOR: strongest synthesis model at $5/$25. pair with GPT-5.6 and Grok 4.5 as references. Opus 5 aggregates. best quality at mid-range price. presets: max-quality: reference_models: - provider: openai-codex model: gpt-5.6-sol - provider: xai model: grok-4.5 aggregator: provider: anthropic model: claude-opus-5 COMPUTER USE: near-Fable 5 quality for browser automation. at half the token cost per session. computer_use tasks burn lots of vision tokens. Opus 5 halves that bill vs Fable 5. WHAT TO KEEP OPUS 5 AWAY FROM: cron monitoring: too expensive. use DeepSeek or no_agent mode. sub-agent grunt work: use GPT-5.6 Luna ($1/$6) or DeepSeek. auxiliary tasks: use Gemini Flash. routine web extraction: use a cheap model. Opus 5 is for the turns where quality compounds. planning, synthesis, verification, complex reasoning. budget models handle everything else. NOUS PORTAL: 20% OFF ALL MODELS Nous Portal currently runs a 20% discount on all models including Opus 5. $5/$25 official → $4/$20 through Nous Portal. the cheapest way to run Opus 5 right now. hermes setup --portal select claude-opus-5 as your model. discount applies automatically. Opus 5 replaces Opus 4.8 everywhere. same price. better at everything. no tradeoff. straight upgrade. hermes update /model claude-opus-5show more

The McAlberts and ALL of their mouth pieces ALWAYS... lie. Literally everything they say is a lie. Everything they say can be “debunked” so easily with actual receipts and evidence. Here is Jen McCabe’s bff, Mama Llama (who also is friends with / knows Hank Brennan on a personal level) talking about how Colin Albert was “dragged into this more than a year after John’s death by Aidan Kearney on his first canton cover up blog.” — THAT IS FALSE. On June 9, 2022 Karen Read was arrested for a second time at her home after her manslaughter charges were upgraded to 2nd degree murder. During the booking process, talking to Massachusetts State Police Karen says: “ok, you’re aware he (John) was beaten up by Brian and Colin Albert? I mean, we’re all in on the same joke right? My taillight was cracked and John was pulverized” This bodycam footage with audio of Karen in the background implementing Brian and Colin directly refutes MamaLama’s claims that Aidan Kearney “manufactured” this narrative more than a year later 🙄🤥🤥 On June 9, 2022 none of us even knew who #KarenRead was & Aidan’s first blog wasn’t posted until April 18, 2023, ALMOST A YEAR AFTER KAREN NAMED COLIN AS A 3RD PARTY SUSPECT TO THE POLICE. The McAlberts and their mouthpieces are ALL liars. They know we know they are lying and they still lie. It’s all a manipulation tactic, major gaslighting & desperate projection to continue playing victim and “innocent witnesses” in this case— So here is a friendly reminder that they are not victims. If you are new to this case, DO YOUR OWN RESEARCH. Watch all the court hearings. Watch both trial 1 and 2. Read the filings. The evidence (or lack thereof) speaks for itself. #JohnOKeefe was not hit by a car. #KarenRead was FRAMED by Massachusetts State Police and Canton Police. The McAlberts and their mouthpieces only hate Aidan Kearney for exposing them, exposing their relationships/connections to each other, and exposing all of the corruption in Norfolk County. Period. Full stop. Vote for Adam Deitch for District Attorney for Norfolk County District Attorney to clean the swamp 🫡show more

The Visual Studio Code insiders version that just shipped... and will ship in the next few days will come with an insane amount of new capabilities. A few highlights: - You can now run sub-agents in parallel. Yes, really. I even attached a video. - Major UX improvements for sub agents, especially visible in the chat window - A new search tool wrapped as a sub-agent that iteratively runs multiple search tools: semantic_search, file_search, grep_search Which connects nicely to the point above: multiple searches running in parallel, efficiently and fast - Anthropic’s Message API is now enabled by default - You can choose the model for the cloud agent (three available, all premium) - Extended thinking support when using the Claude cloud agent This is part of the broader multi-vendor cloud support under AgentsHQ I wrote about a few weeks ago - Tasks sent to the background agent (basically the CLI tool) now always run in isolation, each with its own git worktree - In a multi-repo workspace, assigning a task to a cloud agent prompts you to choose the target repo Same behavior when opening an empty workspace with no repo - Support for building an external index for files not supported by GitHub’s default indexing - UI/UX improvements for starting new sessions and switching between local / background / cloud agents - Skills are now first-class citizens, just like prompt files, with better UX indicating when a skill is loaded - Improved API for dynamic contribution of prompt files New V2 includes skills as part of the model. Curious to see the extensions that will leverage this - Finally, initial support for showing context usage percentage per session - Skills are enabled by default - Resizable chat window and session view. Small thing, but it was driving me crazy 😁 - A new integrated browser meant to replace the old simple browser Maybe the beginning of real browser use? - Better UI/UX for token streaming in chat - Ability to index external files not supported by GitHub There’s a lot more. Some of it hasn’t fully landed yet, but everything that has is already in Insiders. The next stable release should drop in early February. As usual, I’m just shocked by the volume of features this team ships every month. After the holiday slowdown, this one is shaping up to be a wild release.show more

Created this clip using GPT Image 2 + Happy... Horse on BudgetPixel AI Prompt Ultra-cinematic dark fantasy transformation sequence, hyper-realistic 8K, cinematic realism, seamless storytelling, epic VFX quality, realistic photography textures, volumetric fog, dramatic contrast lighting, teal-blue moonlight mixed with lava-orange glow. IMPORTANT DIRECTOR INSTRUCTIONS: • STRICTLY follow the 9 storyboard panels in exact order without skipping, merging, or redesigning scenes. • Maintain visual continuity of the same woman, same environment, same lighting progression, and same transformation details throughout the sequence. • Every shot must match the storyboard framing, emotion, and camera movement exactly. • Do NOT introduce extra characters, environments, costumes, creatures, or stylistic deviations. • Keep pacing cinematic and fluid with smooth transitions between every panel. • Preserve dark fantasy realism and grounded cinematic physics. • Maintain consistent teal-blue cold atmosphere contrasted with molten orange energy glow. • Use seamless morphing transformation VFX with realistic anatomy deformation and fur simulation. • Camera language must evolve exactly according to storyboard progression. • Final storm-cloud transition must visually connect to the next sequence. SEQUENCE BREAKDOWN: PANEL 1 — “Frozen Ruins” Begin with a wide aerial establishing shot over a devastated frozen ruin at night. Shattered icy ground stretches across the landscape. Ancient broken pillars covered in frost emerge through thick drifting fog. Snow particles blow across frame. Blue moonlight reflects off sharp ice shards. Tiny exhausted dark-haired woman visible lying alone on the frozen surface. Slow cinematic drone push-in toward her position. Atmospheric, silent, haunting. PANEL 2 — “The Fallen Woman” Cut to a medium-wide shot of the exhausted woman lying on cracked ice. Torn black-gray clothes, pale frozen skin, trembling fingers pressing into the ice. Heavy breathing visible in cold air. Expression filled with pain and desperation. Camera slowly tracks closer while fog drifts around her body. PANEL 3 — “Pain Awakens” Close-up cinematic shot of her face as she struggles to rise slightly from the ice. Frost on skin, wet strands of dark hair across her face, terrified eyes reflecting moonlight. Small glowing orange cracks begin appearing beneath the skin around her neck and cheekbones. Slow dramatic push-in camera movement. PANEL 4 — “Lava Veins” Extreme close-up shots of glowing molten cracks spreading rapidly beneath her skin like lava veins. Orange light pulses through her arm, shoulder, and neck. Ice beneath her violently fractures outward with realistic cracking simulation. Tiny embers begin floating into the cold atmosphere. High-detail skin deformation and subsurface glow. PANEL 5 — “Bone Shift” Dynamic side-angle shot as her spine bends unnaturally and fingers elongate. Bones visibly shift beneath skin with realistic transformation deformation. Her body convulses violently. Snow and fog swirl aggressively around her. Camera becomes more unstable and energetic, cinematic handheld motion begins. PANEL 6 — “Flesh to Fur” Mid-transformation sequence. Flesh fluidly melts and reforms into black fur and panther anatomy. Human limbs reshape into powerful animal musculature. Sharp claws emerge. Embers explode into the air while chunks of ice and debris lift from the ground. Seamless morphing VFX, ultra-detailed fur generation, cinematic slow motion moments. PANEL 7 — “The Beast Emerges” Reveal the fully transformed massive black panther standing atop shattered frozen ground. Its body covered in glowing lava-orange cracks. Fiery glowing eyes stare through drifting fog. Steam rises subtly from heated fur against freezing air. Epic silhouette composition under blue moonlight. Slow circling cinematic camera movement. PANEL 8 — “Roar of Fury” Aggressive close-up action shot of the panther roaring directly toward camera. Violent handheld camera shake. Flying debris, shattered ice particles, glowing embers, atmospheric distortion from the roar. Ultra-detailed fur physics and saliva simulation. Intense cinematic energy. PANEL 9 — “Storm Transition” Final cinematic frame. The roaring panther suddenly turns its head sharply toward the sky. Dark storm clouds rapidly begin forming overhead. Blue lightning flickers faintly in distant clouds. Wind intensifies through the ruins. Camera slowly pulls back while fog and snow swirl dramatically. End on a powerful dark fantasy transition frame preparing for the next sequence. GLOBAL VISUAL REQUIREMENTS: • Hyper-realistic dark fantasy realism • Hollywood blockbuster cinematography • 8K ultra-detail • Volumetric lighting and fog • Realistic snow, ice, debris, and embers simulation • Cinematic handheld motion during intense transformation moments • High-end creature VFX quality • Deep shadows and dramatic contrast • Realistic fur rendering and glowing lava cracks • Smooth seamless transitions between all storyboard panels • Epic cinematic sound-design energy implied visually • Production-quality film look • No text, subtitles, logos, watermarks, UI elements, or split screens • Maintain strict storyboard accuracy from beginning to endshow more

Here we go GPT Image 2 and Seedance 2.0... is now live on insMind #insmind #insmindai Generated this GRWM video using the Prompt : Aesthetic “Get Ready With Me – Gym Edition” storyboard layout, minimal neutral-toned design, soft beige and cream color palette, clean editorial grid. Top header text: “GET READY WITH ME” subtitle: “gym edition” in elegant script font subheading: “step-by-step activewear routine” The layout is divided into 4 blocks, each showing a sequence (1–8 steps per row), featuring the same young woman throughout with consistent face, natural makeup, athletic toned body, hair tied in a messy bun or sleek ponytail. BLOCK 1 – BASE (1–8) 1–2: putting on a fitted sports bra 3–4: wearing high-waisted gym leggings 5–6: adjusting waistband / smoothing fit 7–8: mirror check, relaxed confident pose BLOCK 2 – LAYERS (9–16) 1–2: putting on oversized gym t-shirt or cropped top 3–4: adding lightweight zip-up hoodie or jacket 5–6: tying hair tighter / adjusting outfit 7–8: slight movement pose (stretching arms or twisting body) BLOCK 3 – DETAILS (17–24) 1–2: wearing smartwatch / fitness band 3–4: adding minimal jewelry (thin chain, studs) 5–6: putting on gym gloves or lifting straps 7–8: wearing sunglasses or tying hair final look BLOCK 4 – FINISH (25–32) 1–2: putting on training shoes (clean white sneakers) 3–4: grabbing gym bag / water bottle 5–6: holding headphones / protein shaker 7–8: full-body mirror shot, confident final look Side icons representing categories: base, layers, accessories, shoes, final look. Soft natural lighting, indoor minimal room or modern apartment, neutral background, clean shadows, editorial fashion photography style, consistent framing across all panels. Footer text: “You’re ready. Go own your workout.” Video prompt : Use provided storyboard image as reference CONCEPT: Get Ready With Me — Gym Edition TIMELINE: 0 : 00–0:04 Sports bra on High-waisted leggings wear Waistband adjustment Mirror check 0 : 04–0:08 Oversized tee / cropped top Lightweight hoodie or jacket Hair tie (ponytail/bun) Light stretch / body turn 0: 08–0:12 Smartwatch / fitness band Minimal jewelry Gym gloves / lifting straps Sunglasses on 0: 12–0:15 Training shoes Grab gym bag + water bottle Headphones / shaker Walk-out + final confident look STYLE: Minimal, neutral tones, soft beige/grey palette, natural indoor lighting, clean modern interior, athletic aesthetic CAMERA: Close-up + mid shots, soft focus, shallow depth of field, steady framing, subtle handheld realism TRANSITIONS: Match cuts, outfit snap transitions, fabric motion cuts, quick clean jump cuts synced to movement OUTPUT: Loopable, smooth pacing, satisfying flow, social media ready (vertical 9 : 16show more

💍 ARQX LAUNCHING WORLD’S FIRST AI - LUXURY JEWELRY... TOKEN: $ARQX ⏰ When: May 7th - 16:00 UTC 📍 Where: Uniswap ⚡️ What: ARQx ($ARQX) & its consumer-focused AI mobile app have the potential to revolutionize how jewelry & luxury is created the world over. The ARQ Jewelry app, the first of its kind, enables anyone on earth to instantly design & build professional-level jewelry in seconds (available for both iOS & Android). 💎 By leveraging artificial intelligence, ARQx democratizes the design process, challenging a $350+ billion dollar (2023) centralized industry. AI is set to disrupt over 300 million full-time jobs in the next decade & the world of luxury is right in its cross-hairs. ➡️📱 ARQx will unveil its mobile jewelry design platform on the MAY 9TH, 2024 - 2 days after TGE. 💎 No need to wait weeks or months to try ARQx’s disruptive tech. This IS NOT a niche web3 game or defi project with a limited user base, but instead; a full-fledged consumer ecomm experience, primed mass market adoption with millions of users. You can use it, you wife can use it, your children can use it - anyone who has ever bought or worn jewelry can use the #ARQx Jewelry Design app. ARQX TOKEN DETAILS: 💎 Token name: ARQx AI 💎 Token ticker: $ARQX 💎 Total supply: 1 billion tokens split across BASE & ETH (1,000,000,000) 💎Market cap: $353,395 at launch | $7,000,000 fully diluted. 💎 Targeted Industries: Artificial Intelligence [AI], Real World Business [RWB], Luxury Fine Jewelry, Precious Metals. DEX TRADING WILL COMMENCE ON UNISWAP AT 16:00 UTC ON MAY 7TH, 2024: Multiple CEX listings locked, announcements shortly post TGE. ➡️ BASE contract address: 0x5e432eeCd01C12ee7071Ee9219C2477a347DA192 ➡️ ETH contract address: 0x5e432eeCd01C12ee7071Ee9219C2477a347DA192 * The contract address is the same on both the BASE and ETH chains. ** ARQX NEVER has any BUY tax, always 0%. Because of generous aggressive vesting + protection against malicious bot activity, ARQX has a 10% SELL for week 1, which will then set to 8%, before diminishing monthly to 2%. ARQX TOKEN UTILITY: 💎 The ARQ Jewelry platform is powered by the $ARQX token, which allows each user to design new jewelry dozens of times a day. The more jewelry designed, the more token usage (in-app AI gas). The app also includes a buyback & burn tax on ALL jewelry purchases… forcing increased buying pressure on the open market as ARQx scales its user base & sales. 💎 ARQx is built for ease-of-use by a combined audience of mainstream web2 & web3 alike. Traditional users can easily convert their fiat funds in-app into the token - without the hurdles of a legacy web3 user experience; creating an effortless USD to ARQX onramp. With sale prices ranging from $500 to $10,000, profit margins exceeding 100%, lucrative staking incentives (APY for web3, discounts for web2), the token price is geared to explode even independently of its open market trading. MAINSTREAM MISSION & ADOPTION: 💎 ARQx's resonating mission focuses on enabling the masses to awaken their creative expression, traditionally gate-kept by fashion industry elites. The platform encourages individuals to trust their creative instincts and design their own personal fashion, rather than forcing them to conform to seasonal trends dictated by “big lux”. 💎 Lastly, ARQx’s roadmap extrapolates all these strengths to include: smart NFC jewelry containing crypto wallets (already shipped), individual creator Shopify-style stores, B2B white-labeled solutions for the entire jewelry industry (first clients already acquired), and further expansion into additional custom lux AI products such as: fashion, handbags, collectibles, and footwear. Detailed roadmap can be found on the ARQx website [link in bio]. Becoming an early token adopter of the $ARQX token gives community members exposure to all of this asymmetrical upside, & "fomo-proofs" against the disruptive potential for AI in the jewelry industry: a perpetual precious-metal-focused ancient and robust part of human culture. ARQX - Changing the world of luxury forever… together!show more

Jajan dulu di warung gesss, the prompt : Main... Subject — Outfit: Young Indonesian woman, early 20s, natural everyday appearance. She wears a simple plain cotton kemben / strapless inner top, slightly fitted but modest, in a faded earthy tone, paired with a high-waisted loose cotton midi skirt reaching below the knees. The kemben looks like a practical everyday inner garment commonly worn at home, not lingerie or a fashion top. Simple worn brown leather flip-flops, tiny gold stud earrings, and dark naturally wavy hair tied loosely in a messy low ponytail with several wispy strands framing her face. The clothing should feel authentically early-2000s Indonesian: inexpensive cotton fabric, slightly faded from repeated washing, natural wrinkles, imperfect fit, no modern fashion branding, no contemporary styling. Maintain exactly the same identity, outfit, hairstyle, body proportions, and appearance throughout the entire video. Alternative outfit variation: A simple sleeveless cotton kemben-style inner top layered with a very loose thin button-up shirt left open, combined with a high-waisted knee-length or midi skirt. The outer shirt moves naturally in the tropical breeze and gives the outfit a casual nostalgic 2000s Indonesian home-video feeling. Important: Keep the outfit modest, ordinary, and believable for an Indonesian residential setting. Avoid lingerie aesthetics, glossy fabrics, exaggerated cleavage, modern crop-top styling, or contemporary fashion photography. Concept: An ordinary Indonesian morning captured by a friend on an old consumer camcorder. She casually walks through her neighborhood to buy breakfast, stops at a tiny traditional warung, interacts naturally with an elderly vendor, carries a small plastic bag of food, and returns home. Nothing feels staged or performed for the camera. The charm comes from ordinary everyday moments, imperfect framing, and authentic early-2000s Indonesian neighborhood details. Location: Authentic Indonesian residential neighborhood in the early 2000s, around 8–9 AM. Narrow concrete and asphalt alleys, modest one-story houses with tiled roofs, open terraces, faded painted walls, potted plants in recycled plastic containers, hanging laundry, bamboo drying racks, old parked motorcycles, plastic chairs outside houses, small traditional warung with glass display jars, colorful snack packets, bottled drinks, handwritten price signs, banana trees, coconut trees, overhead electrical wires, and neighbors casually doing morning chores. No modern cafés, convenience stores, smartphones, LED signage, contemporary architecture, luxury vehicles, billboards, crowds, or obviously modern objects. Visual Style: Ultra-realistic documentary realism. Forgotten Indonesian home-video aesthetic from approximately 2001–2005. Genuine candid behavior, imperfect timing, natural facial expressions, spontaneous gestures, realistic walking and body movement, authentic environmental details. She occasionally forgets the camera is there and behaves naturally. Camera Style: Early-2000s consumer MiniDV / Digital8 camcorder footage recorded by a friend. Heavy handheld movement, slight nervous camera shake, imperfect framing, occasional accidental cropping, autofocus hunting, focus breathing, exposure pumping when moving from sunlight into shade, slight overexposure around bright windows, occasional motion blur, subtle rolling-shutter distortion, mild digital compression, tiny sensor noise, soft image detail, warm faded colors, slightly yellowish highlights, muted blacks, low-to-medium contrast. No gimbal. No stabilization. No cinematic dolly shots. No drone shots. No modern camera sharpness. No modern HDR. No cinematic color grading. No artificial film grain. No polished commercial look. 00:00–00:02 — Leaving Home The woman steps out from a modest Indonesian house carrying a small reusable plastic shopping bag. She pauses on the terrace to put on her brown flip-flops properly. She notices the camera and gives a quick amused smile before looking away. Her loose hair moves gently in the morning breeze. The camcorder autofocus briefly loses her face before snapping back into focus. 00:02–00:05 — Walking Through the Alley She walks casually through the narrow residential alley. The camera follows several steps behind her, sometimes drifting too far to one side. She passes an old parked motorcycle, hanging laundry, and a neighbor sweeping the pavement with a traditional lidi broom. She briefly turns around to look at the camera, laughs silently, then continues walking. Sunlight flickers naturally through banana and coconut leaves, creating moving patches of light across her clothes and the concrete pavement. 00:05–00:08 — Small Neighborhood Warung She arrives at a tiny traditional warung. She leans casually against the counter while choosing breakfast from jars and trays of local snacks. She points at a few items and smiles at the elderly female shopkeeper. The camera moves closer but autofocus struggles between her face and colorful snack packages in the foreground. She receives a small plastic bag containing traditional snacks and a cold bottled drink. 00:08–00:10 — Unexpected Candid Moment Walking home, she opens the plastic bag and playfully checks whether the snack is still warm. A neighborhood child riding an old small bicycle passes behind her. She steps aside and laughs naturally. She looks directly into the camera for a brief moment, gives a tiny playful wave, then turns away. The camera operator accidentally zooms slightly while she walks farther down the alley. The footage abruptly cuts to black mid-step, like an old camcorder recording being stopped. Audio — Hyper-Detailed Early-2000s Indonesian Neighborhood ASMR: Authentic environmental binaural audio only. No music, no narration, no dialogue, no studio effects. Detailed sounds include soft flip-flops slapping against textured concrete, cotton fabric moving with each step, faint plastic bag crinkling, glass jars lightly rattling inside the warung, plastic snack packaging rustling, refrigerator compressor humming inside the tiny shop, distant motorcycle engine passing through the alley, rhythmic broom bristles scraping concrete, leaves moving in the tropical breeze, faint bicycle chain clicking, neighborhood birds chirping, distant rooster crowing, a metal gate opening somewhere nearby, occasional water dripping from a terrace, subtle footsteps from neighbors, and the gentle plastic bottle shifting inside her shopping bag. Audio should feel like a real consumer camcorder microphone from the early 2000s: slightly compressed, imperfect stereo separation, natural environmental noise, occasional distant sounds, close-up micro-details when the camera gets near her. Overall Goal: Make the footage feel like a forgotten personal home video discovered from an old Indonesian MiniDV tape from 2002–2005. The woman is not posing, acting, dancing, or performing. She simply goes out to buy breakfast on an ordinary morning. The camera operator is her friend casually documenting the moment without directing her. The result should feel nostalgic, intimate, imperfect, warm, spontaneous, and deeply believable — a genuine slice of Indonesian everyday life from the early 2000s, not a modern recreation of the 2000s.show more

NEW ALL IN: $PALU @ 33.60 This is the... 2X Palo Alto Networks $PANW ETF. I entered roughly when $PANW was at $270. The thesis is simple: they have earnings on Tue 6/2 and could pull a SNOW or DELL like move. (Breaking my rule here on leverage. The implied move on earnings is +/- 8% so a 2X leveraged ETF makes this +/- 16%. I think that is still survivable if I'm wrong) - Anthropic Mythos is causing havoc finding 10K+ security exploits and that is legitimately scaring EVERYONE - Palo Alto Networks is one of the main security partners helping Anthropic find and fix things before its release. They are publishing so many blog posts and deep dives and really establishing themselves as the main name for this new era of AI cybersecurity - Project Glasswing started on April 7 so while the price is already up 69% since then, I think (just like every other crazy earnings) they will somehow surprise us even more - Hedge fund 🐐 Gavin Baker started a new $90M position along with dozens of hedge funds increasing positions in Q1 2026 - CEO is so badass he bottom-ticked his own stock on March 27 for $10M. Robinhood has this labelled wrong (it shows only 100 shares bought on open market but I checked the actual SEC filing and confirmed he did buy the whole $10M on open market) - Board also authorized an extra $1B stock buyback program on March 10 which is always nice to see Earnings have been massive re-rating events for software names these past few days. If you read my late night free alpha post you might've got a wiff of where my spidey senses are at. 1. Cybersecurity underloved ✅ 2. Software rotation ✅ 3. Insider buy ✅ TLDR: Market is rotating back into software and rewarding high quality category leaders. Note: $ZS and $S had bad earnings and tanked but are incomparable in quality and market cap to $PANW. Plus $PANW has had time to learn how to structure their earnings calls. They're also beating $CRWD to the punch with their earnings a day earlier. I literally stumbled upon this ticker last night and learned they have earnings on Tue. Hence the late night alert and urgent trade. You have to turn the bell on if you're following me. Subscribing gets you my first thoughts and drafts. Sold $HLIT @ 16.32 right when I woke up for an 8% gain. Still believe in the thesis (I stand by every thesis I publish) and would love to jump back after the earnings play (same with any stock I talk about). --- As a reminder: this is my challenge account where I restarted with $35k to go all-in swing trading 1 stock at a time to $10M again. Now at $71k. As always, please do your own research with your own independent thinking and risk tolerance and decide your own buys and sells.show more

The Canvas feature in Renoise AI is a game-changing... workspace for creating and managing e-commerce advertisements at scale. It transforms traditional video editing into an AI-powered creative workflow. I created this strawberry shake ad on Renoise using GPT Image 2 + Seedance 2.0 Prompt Create a hyper-realistic cinematic AI commercial video in horizontal 16:9 format. The video MUST follow ALL storyboard panels STRICTLY in exact order from Panel 1 through Panel 8 with seamless cinematic continuity. DO NOT include: * text overlays * subtitles * timestamps * VHS dates * captions * logos * animation notes * comic graphics * UI elements * split screens * watermarks The entire video should feel like a real premium cinematic commercial captured naturally on an iPhone 15 Pro mixed with vintage fish-eye skate footage. Maintain the SAME throughout the entire video: * blonde main girl * friend group * retro diner * wardrobe styling * strawberry shake product * lighting progression * nostalgic Y2K aesthetic * chrome reflections * energetic youth atmosphere The strawberry shake must remain perfectly consistent in every shot: glossy strawberry-pink liquid, whipped cream topping, condensation droplets, premium commercial realism, chrome reflections, same cup/bottle design throughout all scenes. Visual style: early-2000s skate-video nostalgia, retro Americana milkshake-commercial energy, premium TikTok fashion-commercial pacing, fish-eye skate cinematography, candid handheld realism, warm strawberry pink-red palette, slightly faded nostalgic colors, motion blur, chrome reflections everywhere, messy natural movement, commercial-quality realism, playful chaotic youth culture atmosphere. --- # PANEL 1 — ESTABLISHING SHOT (0:00–0:04) Wide cinematic exterior of a glowing retro Americana roadside diner during golden hour. Stylish western Gen-Z skater friends arrive on skateboards and roller skates. Neon signs glow softly pink and red. Vintage convertible parked outside diner. Warm sunset reflections across chrome surfaces. Handheld camera quickly pushes toward diner entrance with subtle fish-eye lens distortion. Main blonde girl enters frame laughing while confidently holding strawberry shake. Authentic imperfect framing, motion blur from fast skateboard movement, nostalgic suburban atmosphere. --- # PANEL 2 — ROLLER SKATE PASS (0:04–0:07) Extreme low-angle fish-eye shot inside diner. Roller skates aggressively slide directly past camera across glossy black-and-white checkered floor. Chrome reflections streak dynamically across frame. The strawberry shake swings through foreground with condensation dripping naturally. Fast whip-pan camera movement with energetic motion blur. Friends laughing in background booths. --- # PANEL 3 — MILKSHAKE SPIN (0:07–0:10) Macro cinematic close-up of strawberry shake spinning slowly on reflective chrome diner counter. Whipped cream wobbles naturally. Condensation droplets sparkle dramatically. Fresh strawberries beside cup. Vintage jukebox softly glowing in background. Slow-motion luxury commercial realism with shallow depth of field. Camera smoothly rotates around shake. --- # PANEL 4 — DINER BOOTH CHAOS (0:10–0:14) Chaotic handheld shot of fashionable friends dancing wildly inside diner booths. Oversized hoodies, baggy jeans, vintage racing jackets, tiny sunglasses, silver jewelry moving dynamically. Main blonde girl stands on diner booth laughing while holding strawberry shake overhead. Natural camera shake like authentic 2000s camcorder footage. Messy candid movement, energetic youth atmosphere, chrome reflections everywhere. --- # PANEL 5 — JUKEBOX MOMENT (0:14–0:17) Cinematic medium shot. Main blonde girl dramatically presses glowing retro jukebox button while holding strawberry shake in opposite hand. Pink-red neon light softly illuminates glitter makeup and glossy lips. Camera slowly pushes toward her face while chrome reflections move across frame. Background friends dance softly out of focus. Stylish rebellious retro Americana energy. --- # PANEL 6 — WHIPPED CREAM FOOD FIGHT (0:17–0:21) Chaotic slow-motion whipped cream fight exploding across diner. Whipped cream flies toward camera lens. Friends laugh uncontrollably. Dynamic motion blur throughout scene. Main blonde girl remains center frame holding strawberry shake confidently while dodging whipped cream. Cream splatters across chrome counter and diner windows. Exaggerated playful cinematic energy. --- # PANEL 7 — RETRO CAR WINDOW SHOT (0:21–0:25) Nighttime exterior outside diner. Inside vintage chrome convertible parked under glowing diner neon lights. Handheld camcorder-style shot from backseat. Main blonde girl laughs with whipped cream mustache while holding strawberry shake toward camera. Friends lean out windows laughing while pink neon reflections move across glass surfaces. Warm nostalgic nighttime atmosphere with subtle grain texture. --- # PANEL 8 — FINAL HERO SHOT (0:25–0:30) Final cinematic ending outside glowing retro diner at night. Main blonde girl stands confidently under neon lighting drinking strawberry shake while friends roller skate away laughing in background. Wind naturally blowing hair. Fish-eye lens slowly settles into emotional cinematic framing. Chrome reflections shimmer on wet asphalt. Pink-red neon glow surrounds scene. Motion blur trails from skating friends. The video ends with a natural cinematic freeze-like ending moment, emotional nostalgic Y2K atmosphere, premium commercial realism.show more

You don't understand... Higgsfield MCP + Claude just automated... AI film making. Every single step you used to grind through to make an AI movie, you can now do 10x faster. Drop the script into Claude Opus 4.8 and say: "Here's my script. Break it into a full shotlist. Shot number, scene, shot type, camera move and the action in each frame." Now the whole film is mapped, shot by shot. - Pull your assets. Ask Claude: "From this shotlist, list every character, every location and every prop across the whole film." That's your build list. The stuff you would need to generate and give as references in next steps. - Build the character sheets. Higgsfield MCP is connected, so Claude has hands now to do stuff directly. It generates the images itself. Have the full body, back view and close up in the character sheet. One per character. Each sheet becomes the locked reference for that face. Same move for locations, generate the empty plate for each one before anyone steps into it. - Generate the frames. Feed Claude the references plus the shot and have it write and fire the Seedance 2.0 prompt. "Using the lead's character sheet and the alley plate, generate shot 4 in Seedance 2.0. Low angle, slow push-in, rain." Claude builds the prompt, calls Seedance 2.0 and the frame lands back in chat. Use a Seedance 2.0 skill to teach Claude how to prompt it properly. Now, there are 3 ways to make the shots. Pick one per scene. - Pure prompting. Fastest one. You describe the action in words and let Seedance interpret it. For consistency across a sequence, feed it a frame from the previous shot so the look carries. - Storyboarding. You hand it a panel and it matches that composition exactly. Way more control over how the shot is framed. The tradeoff is that it can introduce more cuts than you actually want. - Path Control System This is the latest technique Seedance 2.0 technique. Generate a still base plate of the scene. Draw a red line across it to mark the exact path of the movement, then describe what's happening. Seedance follows that line for the action. Also ask Claude to remove the red line when animating. This is the one for anything where motion has to land precisely. The output reads like real live action. - Lastly, generate every clip you need, then cut them together. Get it to Capcut for editing and audio design. And that's it. The pipeline that used to need a full crew and a studio can now run from one Claude chat. 2026 is gonna be wildshow more

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

Seedance 2.0 on MiniMax Design (H3) ===================== Prompt: Style:... Photorealistic behind-the-scenes smartphone vlog footage. Faux vertical smartphone footage naturally cropped into 16:9. Authentic handheld phone aesthetic. No cinematic color grading, no HDR look, no 3D render, no game engine, no beauty filters. Feels like genuine behind-the-scenes content uploaded by a Korean idol. Lighting: Bright summer afternoon sunlight through large apartment windows gradually transitions into warm evening apartment lighting. Natural exposure fluctuations and auto white balance typical of smartphone cameras. Color: Neutral consumer smartphone color science with slightly soft contrast, mild highlight clipping near windows and natural indoor color shifts. Camera: Simulated smartphone camera filmed by another female idol member. Gentle handheld movement, natural walking motion, subtle autofocus breathing, slight rolling shutter during quick pans, occasional imperfect framing, brief focus hunting and realistic phone compression. Camera behaves like a friend casually filming, never professionally stabilized. Skin: Extremely realistic skin texture with visible pores and natural imperfections. Light everyday makeup. No skin smoothing. Acting: Gentle, elegant and soft-spoken. She smiles modestly, speaks calmly, occasionally becomes slightly shy after noticing the camera, and naturally thanks the person filming. Her personality is graceful, feminine, polite and slightly reserved. She rarely laughs loudly, instead showing warm smiles, subtle amusement and delicate facial expressions. Every movement feels refined, relaxed and effortless. Physics: Hair, clothing, towels, food, steam, water droplets and household objects all move naturally with realistic weight and momentum. Composition: Casual smartphone framing with occasional imperfect composition and spontaneous reframing. Feels like authentic dorm footage rather than planned content. Continuity: Maintain the exact same face, platinum blonde long straight hair with bangs, body proportions and identity from the reference image throughout every scene. No identity drift. Technical: Authentic 24–30fps smartphone video look with subtle compression artifacts. Final output 16:9. Audio: Natural apartment ambience only. Air conditioner humming, distant Seoul traffic, birds outside the window, cooking sounds, boiling water, frying food, dishes, footsteps, running water, toothbrush brushing, hair dryer, refrigerator hum and soft room ambience. No background music. No subtitles. Overall Mood: Warm, peaceful, elegant and comforting. Similar to a quiet behind-the-scenes dorm vlog uploaded by a Korean idol. Everything feels sincere, calming and intimate without trying to be entertaining. Character: A fictional Korean female idol in her early 20s. Long platinum blonde hair with straight bangs. Fair skin. Soft cat-like eyes. Slim figure. Graceful and feminine. She is known for her gentle personality, polite manners and calm speaking voice. She has just returned to the dorm after school and a schedule and quietly spends the rest of her summer evening. Wardrobe Continuity: CUT 1 She arrives wearing the exact sailor-style school uniform from the reference image, including the cream knit vest, blue sailor collar, blue pleated skirt, white socks and black loafers. CUT 2 She changes into an oversized white graphic T-shirt and loose black athletic shorts while cooking. CUT 3 She now wears a soft pastel blue sleeveless lounge top with white lounge shorts while eating dinner. CUT 4 The same lounge outfit while brushing her teeth. CUT 5 After washing her face she changes into luxurious white silk short pajamas featuring elegant gold piping along the collar, cuffs, chest pocket and shorts hem. The pajama set consists of a relaxed short-sleeve button-up shirt with matching silk shorts. Her hair is loosely tied back while doing skincare. CUT 6 Fresh after showering, still wearing the same white silk pajamas with gold piping. Her hair is slightly damp with a white towel resting around her neck while drying it. CUT 7 Relaxing on the sofa wearing the elegant white silk pajamas while hugging a plush toy and drinking iced tea. CUT 8 Before bed she lets her hair down naturally, waves softly toward the camera while wearing the elegant white silk pajamas, turns off the bedroom light and closes the door. Scene: A beautiful modern luxury Korean idol dorm apartment during a peaceful summer afternoon and evening. Cozy, bright and elegant interior with tasteful furniture, skincare products, plush toys, snacks, fresh flowers, books and neatly organized living spaces. CUT 1 — Coming Home Continuous handheld shot. She unlocks the front door, quietly enters the dorm wearing the school uniform from the reference image, removes her loafers neatly, places her school bag beside the entrance, smiles softly toward the camera and bows her head slightly. Dialogue: "다녀왔어요." CUT 2 — Cooking The camera follows her into the kitchen. She washes vegetables, prepares simple Korean home cooking, fries eggs, boils ramen, tastes the soup with a spoon and smiles gently. Dialogue: "오늘 많이 배고프네요." A female member is heard faintly from another room. Female Voice: "언니~" She smiles softly. "왜?" CUT 3 — Dinner She sits quietly at the dining table. Before eating, she gently places her hands together. Dialogue: "잘 먹겠습니다." She enjoys the meal peacefully while occasionally smiling toward the camera. CUT 4 — Brushing Teeth Bathroom mirror shot. She brushes her teeth slowly before smiling shyly after making accidental eye contact with the camera. Dialogue: "이제 양치해야지." CUT 5 — Skincare Now wearing elegant white silk pajamas with gold piping. She carefully applies toner, serum and moisturizer while calmly speaking to the camera. Dialogue: "오늘 피부가 조금 좋아 보이는 것 같아요." CUT 6 — After Shower She walks out of the bathroom with slightly damp hair and a towel resting around her neck. She quietly dries her hair while looking out the apartment window at the summer sunset. Dialogue: "샤워하니까 정말 개운해." CUT 7 — Relaxing She sits comfortably on the sofa hugging a plush toy while sipping iced tea and slowly scrolling through her phone. A female member speaks softly from another room. Female Voice: "영화 볼래?" She smiles warmly. "좋아요." CUT 8 — Good Night Late evening. She walks into her bedroom carrying her phone charger and plush toy. She turns around one last time, smiles gently at the camera and gives a small wave. Dialogue: "오늘도 함께해줘서 정말 고마워요. 좋은 꿈 꾸세요." She switches off the bedroom light. The bedroom door slowly closes while the handheld camera quietly remains outside for another second before the recording naturally ends.show more

PROMPT: Generate a continuous 15-second premium live-action broadcast TV... commercial for a high-performance family kitchen blender, designed as an energetic, polished consumer-appliance advertisement emphasizing FAST BLENDING POWER. The commercial must tell a complete miniature visual story within exactly 15 seconds: a busy family needs breakfast quickly, fresh ingredients enter the blender, one touch unleashes powerful high-speed blending, a thick mixture transforms almost instantly into a perfectly smooth fruit smoothie, the family enjoys the result, and the commercial ends on a clean hero product shot with the promise: “Smooth in Seconds.” Maintain a consistent high-end contemporary commercial visual style throughout the entire sequence: photorealistic food photography, tactile ingredient detail, premium appliance surfaces, energetic but controlled camera movement, crisp natural highlights, appetizing freshness, believable family warmth, and polished broadcast-advertising finish. Shoot as if captured on an ARRI Alexa 35 cinema camera using a coordinated set of 24mm, 35mm, 50mm, 85mm, and 100mm macro cinema lenses. Preserve realistic perspective, physically plausible motion, natural depth of field, smooth highlight roll-off, subtle cinematic contrast, clean skin tones, rich food texture, controlled motion blur, and sharp product detail. The entire commercial takes place during one continuous bright weekday morning in the SAME modern family kitchen. The kitchen has warm off-white cabinetry, pale natural-oak counters, a large sunlit window frame-left, brushed stainless-steel fixtures, a small breakfast table in the background, subtle family-life details, and a clean uncluttered countertop. Warm morning sunlight enters consistently from frame-left at approximately 5200K, supplemented by soft interior fill, producing gentle directional shadows and bright natural reflections. Maintain the same architecture, counter layout, window position, furniture, appliances, background objects, lighting direction, and color palette throughout every shot. New camera angles reveal different perspectives of the same physical kitchen and must never create a different-looking location. LOCKED PRODUCT: one premium family countertop blender with a compact matte-silver motor base, black control panel, one illuminated circular speed control, large clear 1.8-liter blending pitcher, black fitted lid, stainless-steel blade assembly, sturdy black handle, and subtle unbranded front badge area. The blender’s shape, proportions, materials, controls, pitcher geometry, lid, handle, blade assembly, reflections, scale, and countertop position remain identical throughout every shot. It begins centered on the main kitchen counter and never changes location. LOCKED INGREDIENTS: fresh strawberries, banana pieces, blueberries, mango chunks, Greek yogurt, milk, and several ice cubes. Ingredients must retain recognizable colors and textures before entering the pitcher. Once added, object permanence must be respected: ingredients cannot reappear outside the blender. During blending, the mixture must transform physically and continuously from visibly chunky fruit and ice into a uniform thick pink-red smoothie. LOCKED FAMILY: a mother in her mid-30s with shoulder-length dark brown hair wearing a soft beige knit top and blue jeans; a father in his late-30s with short dark hair wearing a pale blue casual shirt; an approximately eight-year-old daughter with dark brown hair in a ponytail wearing a muted yellow T-shirt; and an approximately six-year-old son with short brown hair wearing a light green T-shirt. Preserve their exact ages, facial identity, hairstyle, wardrobe, body proportions, and appearance whenever visible. Their expressions progress naturally from hurried anticipation to impressed surprise to relaxed enjoyment. Avoid surreal food behavior, floating ingredients, impossible liquid physics, teleporting objects, changing blender geometry, inconsistent pitcher fill levels, duplicated fruit, warped hands, extra fingers, changing wardrobe, altered kitchen architecture, random background changes, excessive lens distortion, unreadable product geometry, fake plastic food textures, excessive camera shake, oversaturated grading, artificial CGI appearance, flickering light, exposure shifts, continuity resets, jumpy object positions, text artifacts, random labels, logos, watermarks, or unrelated products. 00:00–00:02.0 — OPENING PROBLEM / FAMILY MORNING RUSH. Begin with a dynamic 24mm wide establishing shot from approximately countertop height, looking diagonally across the kitchen while preserving a left-to-right spatial axis. The mother moves briskly toward the counter from frame-left as the two children wait near the breakfast area in the background, visibly eager and short on time. The father passes behind them preparing to leave. Morning sunlight streaks naturally through the frame-left window. The locked blender is already visible on the counter as the visual anchor, positioned prominently but naturally in the foreground-right. Use a smooth fast dolly-in toward the blender rather than a hard zoom. Small breakfast details suggest a busy school morning without cluttering the frame. Sound begins with subtle morning kitchen ambience, quick footsteps, a chair movement, and upbeat rhythmic music immediately establishing urgency. No spoken dialogue. 00:02.0–00:04.0 — INGREDIENT SPEED MONTAGE. Match-cut into a rapid sequence of three extremely concise food-preparation inserts totaling exactly two seconds. First, a 100mm macro close-up catches vivid strawberries and blueberries dropping into the clear pitcher, with realistic gravity, bounce, moisture, and fruit texture. Cut to banana pieces and mango chunks entering from above, maintaining the exact pitcher position and increasing fill level logically. Cut to a tight side insert as Greek yogurt, milk, and ice cubes enter last. Use crisp impact sounds synchronized with each ingredient: thump, splash, clink. Each insert changes visual information and advances the preparation; never repeat the same composition. Camera movement is minimal and precise so the speed comes primarily from editorial cutting. The blender remains OFF throughout these inserts. 00:04.0–00:05.2 — ONE-TOUCH ACTIVATION. Cut to an 85mm close-up from a low three-quarter front angle of the blender control panel. The mother’s right index finger enters naturally from frame-left and presses the illuminated circular control exactly once. Show believable fingertip compression against the control. The instant contact occurs, the control illumination brightens and the motor begins. Add a precise tactile click followed immediately by a confident rising electric motor sound. Use a subtle fast push-in timed to activation. The hand exits naturally; do not show multiple presses. 00:05.2–00:08.2 — POWER DEMONSTRATION / HERO BLENDING MOMENT. Cut to a dramatic but physically realistic 50mm close three-quarter view of the entire pitcher. The motor accelerates rapidly. Ice cubes and fruit initially tumble downward toward the stainless-steel blades, then form a powerful controlled vortex. Show the transformation continuously: recognizable strawberries, blueberries, banana, mango, yogurt, milk, and ice become progressively smaller and more integrated until the mixture turns into a completely smooth, thick pink-red smoothie. The action must communicate exceptional blending speed without supernatural physics. Condensation begins subtly on the outside of the pitcher. Tiny droplets and believable internal turbulence catch the frame-left morning light. During this three-second power demonstration, execute a controlled semicircular camera move of approximately 35 degrees around the front of the blender without crossing the established spatial axis. Begin slightly frame-left of the product and finish near frontal three-quarter. Maintain the blender base completely stable on the countertop with no unrealistic vibration or sliding. Use one brief 100mm macro insert lasting approximately 0.5 seconds to reveal the high-speed vortex and disappearing final fruit fragment, then return immediately to the matching three-quarter product angle. Sound design intensifies with a strong smooth motor whirr synchronized to the vortex, layered with the upbeat music. At approximately 00:07.6, the last visible fruit fragment disappears into the vortex. By 00:08.2 the mixture is visibly uniform, silky, and completely smooth. This transformation is the commercial’s core proof point: FAST BLENDING POWER. 00:08.2–00:09.5 — INSTANT RESULT. The motor stops cleanly. Cut to a 100mm macro beauty shot looking through the clear pitcher wall at the perfectly smooth smoothie surface settling from a gentle spiral into a glossy, uniform texture. A small central swirl collapses naturally. No chunks remain. Condensation beads on the exterior catch bright highlights. Use shallow depth of field while retaining enough pitcher edge detail to identify the product. Sound drops from the motor into a satisfying soft stop, followed by a subtle musical accent. A confident female voice-over begins: “Powerful blending…” 00:09.5–00:11.5 — POUR AND PROOF. Match the circular smoothie motion into a 50mm close-up of the mother tilting the same pitcher and pouring the thick smoothie into two clear family drinking glasses on the same countertop. The liquid forms a smooth continuous ribbon with realistic viscosity and no splashing errors. The pitcher’s remaining fill level decreases correctly. Camera tracks gently with the pour from left to right. The daughter and son appear softly out of focus beyond the glasses, watching with excited expressions. As the glasses fill, rack focus briefly from the flowing smoothie to the children’s delighted reaction. Voice-over completes: “…smooth results in seconds.” 00:11.5–00:13.0 — FAMILY PAYOFF. Cut to a warm 35mm medium shot at the breakfast counter. The two children each take one synchronized first sip from their filled glasses, then immediately exchange impressed smiles. The mother stands behind them with a relaxed satisfied expression while the father takes a filled travel cup and moves toward frame-right, suggesting the blender has saved valuable morning time. Keep performances natural rather than exaggerated. The blender remains visible in the background on its original counter position, recognizable and unchanged. Morning sunlight and the same warm neutral palette continue without variation. The music opens into a bright satisfying resolution. The daughter gives a quick authentic smile and says: “That was fast!” 00:13.0–00:15.0 — PRODUCT HERO / BRAND END FRAME. Use a clean visual match cut from the child’s smoothie glass to the locked blender standing alone in a polished hero composition on the SAME kitchen counter. Shoot on an 85mm lens at slightly below pitcher midpoint for a confident premium product perspective. The blender occupies the center-right of frame while a freshly poured smoothie glass, two strawberries, several blueberries, and one mango slice form a restrained ingredient arrangement in the lower foreground-left. These garnish ingredients are separate presentation ingredients introduced only for the hero composition and must not imply that previously blended ingredients have magically reappeared. Create a slow controlled 5% push-in during the final two seconds. Frame-left morning sunlight creates a clean edge highlight along the clear pitcher and matte-silver motor base. Maintain realistic reflections, exact product geometry, and crisp separation from the softly defocused kitchen background. At 00:13.3, introduce a clean broadcast-safe text overlay in the negative space on frame-left: “FAST BLENDING POWER” At 00:14.0, transition cleanly to the primary campaign line: “SMOOTH IN SECONDS.” Below it, smaller: “POWER FOR EVERY FAMILY MORNING.” Typography is modern, bold, minimal sans-serif, perfectly legible, horizontally aligned, broadcast-safe, with no distorted letters and no unnecessary graphical effects. Keep all typography outside the physical blender silhouette. Voice-over, confident and warm: “Fast power. Smooth mornings.” End exactly at 00:15.0 on a perfectly stable hero frame with the blender sharply resolved, smoothie glass visible, campaign line readable, music landing on a clean sonic logo accent. CAMERA AND EDITING RULES: Use motivated cuts whenever subject, visual information, camera position, action, or emotional emphasis changes. Maintain energetic medium-fast commercial pacing: wider contextual opening, rapid ingredient inserts, tactile activation close-up, high-energy blending demonstration, sensory result macro, fluid pouring shot, human reaction payoff, then a slower premium hero landing. Preserve the established 180-degree axis throughout. No camera crosses the axis unless visibly motivated, and no silent changes in object placement occur between cuts. Maintain consistent camera height for matching shot types. Screen direction remains left-to-right for preparation and family movement. Every shot must introduce new action, information, perspective, reaction, or product proof. AUDIO DESIGN: Begin with subtle morning kitchen ambience under upbeat modern percussive music. Synchronize fruit impacts, ice clinks, control click, motor acceleration, vortex intensity, motor stop, smoothie pour, drinking sounds, and final sonic logo precisely to picture. The blender motor must sound powerful but refined rather than harsh. Duck music naturally beneath the voice-over and daughter’s dialogue. No audio clipping or abrupt ambience resets between cuts. VISUAL COLOR SYSTEM: warm off-white, pale natural oak, matte silver, fresh strawberry red, blueberry blue, mango golden-yellow, and creamy smoothie pink-red. Preserve natural skin tones and realistic food saturation. Use a premium contemporary commercial grade with moderate contrast, soft highlight roll-off, clean whites, controlled blacks, and no teal-orange exaggeration. MOVEMENT AND PHYSICS: All hands interact correctly with objects. Ingredients obey gravity. Liquid volume remains continuous. The pitcher fill level increases when ingredients are added, decreases when smoothie is poured, and never resets between shots. The blender stays physically planted on the counter during operation. The motor vortex follows plausible fluid dynamics. Hair, clothing, reflections, condensation, shadows, and liquid motion react naturally. Maintain strict character consistency, product consistency, object permanence, environment continuity, lighting continuity, and forward-only time progression across the full sequence. Render the final commercial at 24 fps, 16:9 broadcast aspect ratio, UHD 3840×2160 resolution, high-bitrate cinematic master quality, natural 180-degree shutter motion blur, realistic cinema-lens behavior, subtle fine sensor texture, clean compression, no visible digital artifacts, no temporal flicker, no frame interpolation artifacts, and photorealistic high-end commercial rendering. Preserve sharp product edges and legible end-frame typography while allowing natural depth-of-field falloff. The entire finished sequence must be EXACTLY 15 seconds long. Do not extend or shorten any beat. The central visual message must be immediately understandable without dialogue: a busy family morning becomes easier because this family blender turns whole ingredients and ice into a perfectly smooth drink with exceptional speed. The emotional progression is urgency → activation → power → instant proof → family satisfaction → premium product promise. Final audience takeaway: FAST BLENDING POWER. SMOOTH IN SECONDS.show more

RC-135 Deployments Signal Imminent Attack: Myths and Realities of... Iran's Military Power The RC-135 is a family of large reconnaissance aircraft operated by the ISAF. These jets are designed for ISR missions, providing near real-time data to military commanders and national leaders. The primary variant focuses on detecting, identifying, and geolocating electromagnetic signals, such as communications, radar emissions, and electronic warfare activities. Based on past experience, the early arrival of these aircraft often signals that an attack may be very close. But what about Iran, what capabilities does it actually have? There are many myths surrounding Iran's military power. Here are some key points: 1. Israel did not overfly Iran during the 12-day war This is implausible. Most part of the munitions used included bombs like the GBU-28 and GBU-31, both with ranges under 25 km, which suggests they could only have been dropped from inside Iranian territory. 2. Iranian missiles have poor accuracy In 2025, several Iranian missiles were launched against targets in Erbil, Iraq, with excellent precision. During the 12-day war, Iran struck the Weizmann Institute and the Haifa refinery with high accuracy, as well as some Israeli launchers, all in an environment of heavy jamming. The truth is that Iranian missile accuracy depends on the model. Iran has missiles in its arsenal that are more than 15 years old, but there is no evidence that the precision of its modern anti-ship missiles is deficient. 3. Iranian air defenses are of very poor quality This cannot be stated with absolute certainty because they were never fully tested. Israel's ground sabotage operations were highly effective, successfully disabling radars and most short-range air defense systems. Iran does not keep its long- and medium-range air defenses permanently deployed, and consequently none of them were destroyed during the 12 days of war. 4. Iran has no radars capable of detecting stealth aircraft In 2024, Iranian radars locked onto Israeli F-35s while they were still over Iraqi territory. In 2025, Iranian-supplied radars integrated into missile batteries in Yemen also locked onto and fired at U.S. F-35s on multiple occasions, nearly downing one. 5. The high technology of U.S. ships and aircraft will paralyze Iranian weapons This would only happen if the Iranians turned their systems off, as reportedly occurred in the Venezuela case. So far, Iranian equipment has proven extremely resistant to interference. Shahed drones continue to operate accurately, and after years of Western efforts, they have not been successfully jammed. This will pose a major challenge for the Americans. 6. The U.S. Carrier Strike Group will easily crush the Iranian navy They would destroy Iran's large ships in minutes, but they would face enormous difficulty against mini-submarines, USVs, UAVs, UUVs, and fast attack craft equipped with missiles. In additional, the U.S. drones would not have complete freedom for target acquisition and would have to rely on LEO/ISR sats. Iran possesses drones like the Karrar, a jet-powered interceptor equipped with air-to-air missiles that can operate at 15,000 meters to deny U.S. drones freedom of action. The Israelis lost an unknown number of drones during the 12-day war, though losses were reported. Summary Does Iran have any advantage? At sea, against the current Carrier Strike Group and considering all of Iran's resources, I would say Iran holds an advantage, evidenced by factors such as missile range, number of containers, tubes, VLS cells, drones, mines, submarines, anti-ship missiles, and other assets. However, once the focus shifts from the sea to the air, the American advantage is overwhelming, both in satellite intelligence and in combat aviation. And this is the type of war the Americans know best.show more

DIRECTED ENERGY WEAPONS (DEWs) While typical civilian access to... DEW technology is hyper limited, AI gives more insight into the reality of Directed Energy Weapons as used in combat. However, this is not a very comprehensive snapshot of what DEW munitions really are. First, they are not lasers, but rather known as sasers (sound outside of human audible range) that delivers more than just excited photons as per lasers, but envelopes microwave radiation delivered through linear particle accelerators and amplified by square-wave (jackhammer) ultrasonic concussion exceeding 20,000 pulses per second, where each impact doubles in energy through secondary emissions for every pulse. Secondary emissions are created on-the-spot through Neutrino Events that harvests brand-new energy directly out of atmospheric neutrinos, turning them into new ions. Hence why saser beams deliver more energy to the target than anything short of a nuclear blast. DEWs also actively draw energy out of surrounding capacitors at the scene of the target as well as from local sources in the path of the beam. Microwaves excite the electrons within the target structure, such as car batteries and the electric wires inside homes, that causes additional increase in amplitude. Since the energy being siphoned off is focused in the zero point of the beam, that area creates dual opposing twin vortices at zero target forming a hyperbola in the center of the affected area where the energy collapses in on itself, sucking oxygen out of the air which then amplifies the thermal radiation only within that toroidal vortex area, achieving crucible-level temperatures in an open-air setting. This is hyper-accelerated by the coupling of the SBX-1 mobile Vortex generator that delivers oxygen to the strike zone with hyper-focused accuracy at up to 70+ MPH winds. Which is why target zones see hurricane winds out of nowhere and from clear skies without any clouds. DEWs generate temperatures that are vastly higher than normal house or forest fires; 1200F and 1500F respectively. A self-imploding DEW saser strike can generate thermal signatures high enough to burn terracotta roofing tiles (2100F), melt glass (2900F), and vaporize stucco walls that are rated to hold up for 1 HOUR under direct torch flame, rendering it to tiny traces of powder. Even the concrete slab foundations of homes in the Santa Rosa fire of 2017 had been incinerated and literally gone as if evaporated into the air. Since the air surrounding the strike zone becomes immediately depleted, fire will not be readily sustained anywhere outside of the hyperbola area (just the home or automobile), leaving brush, trees, plastic, within just a few feet away barely seared and, in many cases, totally unscathed altogether. Houses that incinerate all the way down to ash within minutes will leave no soot, or flame marks on white-painted homes as little as ten feet away as if there was no heat or fire present of any kind. It is important to note that a normal house fire takes 3-4 hours to burn down, leaving large portions of the home and contents behind unconsumed. DEW crucible vortex fires consumed homes down to nothing but white ash in Santa Rosa, incinerated within 20 minutes that I observed after pounding on doors in one residential neighborhood of 2 story homes at 2:30 in the morning screaming to get out, then returning to that same location less than a half hour later, with nothing left but smoldering ash. There is nothing ‘normal’ about DEW remains. Kitchen stoves, pots and pans, washers, dryers, water heaters simply vanished. The cast-iron engines in cars just gone with their aluminum alloy wheels and windows melted on the street. Since DEW sasers work through the delivery of microwaves (that are radioactive) through encapsulation within tachyons (like protective bubbles), the resulting debris fields of target areas are also left contaminated, similar to the aftermath of nuclear detonation sites. The sites where homes once stood in the Santa Rosa fire for instance, had to have the soil under the vaporized concrete slabs excavated and stored in radiation containment casks before any new construction could resume, as reported by locals there that were involved in the cleanup. The Lahaina target homes in Maui are still blocked off with absolutely no entrance for any reason for this same reason almost a year and a half later. DEWs have been seen pulling massive arcs from lightning strikes, obviously generated by the extreme excitation of atmospheric particles of the beam, as well as from overhead electrical wires that supercharge the phonon shafts that are invisible to the naked eye unless backlit from flame or sparks. This technology has been shown to cut full size military ships in half from high altitude delivery systems in seconds, rendering all previous forms of explosive armaments, including nuclear warheads, obsolete. All the military weapons delivered from the US and other countries to Ukraine in recent years were outdated and considered unusable in a genuine modern conflict and were therefore literally being disposed of to make room for other, newer forms of weaponry in armories here at home. In other words, they were merely junk. US dark and black ops have had functioning DEW assault systems in place for many decades already. While AI admits to Turkey using them in combat in 2019, the real date of deployment of DEWs goes back more than just centuries, but prior to humans' arrival to earth in 560m BC. A recent use of DEWs shown here from the Great Chicago Fire of 1871. An even more recent DEW ‘Tara Cleansing’ as they’re called, was the Great San Francisco Fire of 1906 that was blamed on a 7.9 earthquake. And yes, the HAARP SBX-1 hurricane generator is also an earthquake generator as well. None of this is new tech, just new to you. Satellite and antigravity drone delivery of such weapons are entirely remotely-controlled, placing no mil soldiers' lives on the line to mount a siege, making military battlefield loss of life virtually a thing of the past at this time. VIDEO: DEW ATTACK PACIFIC PALISADES 1/8/25 gratis Kyle Zinkshow more

Monthly WINR Protocol Development Update: To begin with, the... WINR Protocol has distributed $900,000 to token holders, generated more than $500,000 in pure profit for liquidity providers on WLP, acquired more than 5,000 users, and has almost 9% of the supply burned. In the upcoming months, the WINR Protocol, which has been in production for years, will introduce a range of new products and deployments. These developments will represent the practical and technical evolution to V2 of the protocol. Here are the latest updates and further details as they progress: Progress on WINR Bonanza, Casino Hold'em, and Blackjack is nearing completion. These games are in the final stages of testing. Additional games, including a new type of crash game, have been finalized and are set to debut with the JustBet v2 launch. Take a look at the gameplay videos for a preview. These games achieve the long-term goal of providing a full-suite WINR Game Engine SDK, which can be used to build games with complex logic on-chain with modular smart contract infrastructure. For example, any grid slot game that dominates the iGaming industry could easily be developed on-chain using the WINR Bonanza SDK. - Permissionless Frontend Operator SDK Dashboard Release: March is poised to be a milestone month with the launch of the Frontend Operator SDK dashboards. These dashboards will enable any WINR Labs game to be seamlessly deployed on frontends, marking a significant advancement in protocol accessibility and integration for future games developed by independent iGaming developers. The frontend operator can deploy any game they choose through a few simple steps while utilizing 10,000 WINR per game via the WINR Game Factory smart contract. Each operator is assigned a unique smart contract address(es) for every game they deploy, allowing their revenue to be tracked independently. The deployment process includes instructions on integrating the game as a package into the operator's frontend. In subsequent phases, the games will transition through WINR Chain, streamlining user onboarding steps like wallet connection and token bridging to Arbitrum. This abstraction will make it easy for any web2/web3 platform on any chain to seamlessly integrate WINR-based games with just a few clicks. The new budget system changes how the revenue is calculated on the protocol and will see daylight with frontend operator, Solana, and Fantom deployments. This model was first tested with a lightweight version on and gave a lot of actionable feedback. Shifting from the existing bribe model, which in practice distributes almost half of the edge of the games in volume to WINR holders, the brand-new budget system checks the profitability of WLP. It distributes a larger part of the profit to game providers, frontend operators, and, most importantly, WINR holders. Any time a game's budget is in profit, a part of every loss is distributed to stakeholders. Here is an example: 1. The WINR Bonanza Game has a 10,000 budget for a frontend operator. 2. Let's assume the bet amount was $50, and Bonanza paid back $10 on that spin. That leaves $40 of pure profit. 3. This is distributed amongst 50% to WLP, 20% to frontend operators, 20% to WINR holders, and 10% to game providers. 4. To achieve this, V2 of WINR Liquidity Engine (WLP) will have a buffer for purchasing and selling, working in epochs to determine the above distribution and math. - Solana Deployment and Expansions: Solana audits are in their final phase, and frontend tests are ongoing. Solana launch will be alongside the V2 launch of @JustBetOfficial, with a chain switch available on the top bar. The VRF system WINR developed already is seeing requests from builders around the Solana ecosystem, and this will over time add an extra layer of income to the protocol. Solana's bankroll, at first, will be a lighter version of WLP but will inherit the above-mentioned budgeting system to generate income immediately upon launch. - Fantom Deployment and Expansions: Fantom's upcoming Sonic upgrade, with its 200ms finality and fast block production is a perfect chain for WINR Protocol to expand. Through the partnership with WINR Protocol will tap into a brand new user base on Fantom. The bankroll on Fantom will consist of FTM and stables. The launch is planned for late March or early April. This expansion aims to open up new markets and collaborations with fresh teams. which operates independently, will integrate a broad spectrum of WINR technologies, including WINR Account Abstraction, WINR VRF, and WINR games, marking a pivotal step in WINR Protocol’s journey of horizontal expansion. - XAI VRF Deployment Progress Update: The WINR Account Abstraction Wallet and WINR Verifiable Random Function (VRF) deployment on the XAI 🎮⛓️ is well underway, with the majority of the work completed. This step forward showcases WINR's expansion beyond gambling and trading, highlighting the protocol's adaptability and commitment to broadening decentralized services. The process to automize and permissionlessly let game developers start using WINR VRF by paying (and burning) fees in WINR will launch alongside WINR VRF deployment on XAI and expand to further chains to help DApp builders with the tooling they need. This process will work very similarly to frontend operators, where DApp builders will be able to easily deploy their VRF contract, pay the WINR fees, and enjoy the fastest random number generation transaction, as showcased on @JustBetOfficial for some time. - JustBet v2 Development Update: Set to launch in March, the last testing phase with long-time community members of JustBet V2 is underway. Boasting a completely refreshed look, JustBet v2 aims to captivate more users with its modern features, a significant upgrade from the classic JustBet designed in 2019. Expect dynamic animations and a user experience that rivals traditional web2 casinos, setting a new standard for online gambling platforms and serving once again as proof of concept for all the new WINR features and infrastructure set to launch over the coming months. As always, WINR Labs simultaneously develops protocol infrastructure and platform to best address the needs of one and only goal: horizontal expansion. Easter eggs: Upcoming Gitbook update with all the technical information of WINR V2. CEX listing. Detailed product pages on WINR web. Pyth competitions. WIP-4 and WIP-5 are ready to deploy. And an 🪂show more