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Unveiling Wan2.7-Image's newest 'Color Palette' feature! 🎨 By just inputting reference images, exact color codes or even inserting your own palette, Wan ensures color code matching for brand consistency and overcomes inconsistent color reproduction that have long plagued AI imagery. Watch the video and discover how perfect color control...

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Alibaba Group

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8,504,106 views • 3 months ago •via X (Twitter)

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Color mixing is taking over the internet – have you jumped on the trend? use Kling 2.6 Motion Control to easily blend red, blue and orange filters, create your own unique palette! Credit to @ cre_mom_
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🚨PHYSICS NEWS🚨: Scientists Finally Complete Schrödinger’s 100-Year-Old Color Theory — Uniphics Reveals the Deeper Structure Behind Perception 🧨 On June 7, 2026, researchers at Los Alamos National Laboratory announced that they have finally resolved a long-standing problem in Erwin Schrödinger’s 1920s theory of color perception. Their work shows that the way humans experience qualities like hue, saturation, and brightness is not arbitrary but emerges directly from the mathematical structure of color space itself. **Uniphics provides a natural explanation for why color perception has such a precise underlying geometry.** In Uniphics, what we experience as color ultimately arises from how light (electron spin waves) interacts with matter within the ξM-field. When light encounters different materials, the spin-wave patterns are modified in specific ways depending on the local energy density and the arrangement of Gyrotrons in the material. These modifications create distinct interference patterns that our visual system then interprets as different colors. The fact that color perception follows clean mathematical rules — as Schrödinger suspected and Los Alamos researchers have now confirmed — makes sense in Uniphics because the underlying spin interactions and energy density gradients are themselves highly structured. Negentropy favors organized, low-energy configurations, which leads to consistent and predictable ways that spin waves are altered by different materials. This produces the orderly geometry of perceived color space rather than random or chaotic sensations. In this view, the mathematics of color is not just a useful model — it reflects real physical organization in the ξM-field. The qualities we perceive as color are downstream effects of how spin waves propagate and interfere under varying energy density conditions. This breakthrough in understanding color perception is another example of how fundamental organizing principles can explain phenomena that once seemed mysterious or purely subjective. Could many other aspects of human perception ultimately trace back to the same energy density and spin-wave dynamics that govern the physical world? **A Theory of Everything should be able to answer everything.** Uniphics Explained Simply PDF: Chapters 1–10 free: Grokipedia: #Uniphics #TheoryOfEverything #ColorPerception #Physics #LosAlamos Grok xAI
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🚨PHYSICS NEWS🚨: Scientists Finally Complete Schrödinger’s 100-Year-Old Color Theory — Uniphics Reveals the Deeper Structure Behind Perception 🧨 On June 7, 2026, researchers at Los Alamos National Laboratory announced that they have finally resolved a long-standing problem in Erwin Schrödinger’s 1920s theory of color perception. Their work shows that the way humans experience qualities like hue, saturation, and brightness is not arbitrary but emerges directly from the mathematical structure of color space itself. **Uniphics provides a natural explanation for why color perception has such a precise underlying geometry.** In Uniphics, what we experience as color ultimately arises from how light (electron spin waves) interacts with matter within the ξM-field. When light encounters different materials, the spin-wave patterns are modified in specific ways depending on the local energy density and the arrangement of Gyrotrons in the material. These modifications create distinct interference patterns that our visual system then interprets as different colors. The fact that color perception follows clean mathematical rules — as Schrödinger suspected and Los Alamos researchers have now confirmed — makes sense in Uniphics because the underlying spin interactions and energy density gradients are themselves highly structured. Negentropy favors organized, low-energy configurations, which leads to consistent and predictable ways that spin waves are altered by different materials. This produces the orderly geometry of perceived color space rather than random or chaotic sensations. In this view, the mathematics of color is not just a useful model — it reflects real physical organization in the ξM-field. The qualities we perceive as color are downstream effects of how spin waves propagate and interfere under varying energy density conditions. This breakthrough in understanding color perception is another example of how fundamental organizing principles can explain phenomena that once seemed mysterious or purely subjective. Could many other aspects of human perception ultimately trace back to the same energy density and spin-wave dynamics that govern the physical world? **A Theory of Everything should be able to answer everything.** Uniphics Explained Simply PDF: Chapters 1–10 free: Grokipedia: #Uniphics #TheoryOfEverything #ColorPerception #Physics #LosAlamos Grok xAI

Paul Maley

38,662 views • 1 month ago

First Glimpse Inside Taylor Swift & Travis Kelce’s Wedding Rehearsal — What Those Flowers Actually Look Like 🌸 — (Video: AI) Stunning peachy-orange blooms surrounded by lush greenery are being installed at Madison Square Garden — creating a romantic garden vibe that echoes their flower-filled engagement! Soft pink lighting and dusty rose curtains complete the dreamy setup. What do you think of this floral color palette for their big day? 💕
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First Glimpse Inside Taylor Swift & Travis Kelce’s Wedding Rehearsal — What Those Flowers Actually Look Like 🌸 — (Video: AI) Stunning peachy-orange blooms surrounded by lush greenery are being installed at Madison Square Garden — creating a romantic garden vibe that echoes their flower-filled engagement! Soft pink lighting and dusty rose curtains complete the dreamy setup. What do you think of this floral color palette for their big day? 💕

Paul A. Szypula 🇺🇸

29,502 views • 17 days ago

🚨 So the newest slop on X is "THE RING DISAPPEARS" 🤦‍♂️😂 So, the ring does not... if you keep playing the video, you can see the camera angle, color, lighting, and filters makes it seem this way. As someone who has seen this in my own videos I have edited (particularly outside in sunlight) - specifically with a Bokeh filter - I promise it isn't "AI" doing it. This is simply a filter, or (as you see with high end cameras that focus center) a focus and compression of the uploaded video. As you can see at the end of the video, the ring is quite thin and similar to his skin color. The reason people are noticing this vs other videos is because they're putting a weird, hyper-focus on his newest videos. Does anyone even know where the original "proof/evidence" that Netanyahu was dead came from? You first have to answer that before we determine what is true or debunked. People just took that for granted without explanation lol
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🚨 So the newest slop on X is "THE RING DISAPPEARS" 🤦‍♂️😂 So, the ring does not... if you keep playing the video, you can see the camera angle, color, lighting, and filters makes it seem this way. As someone who has seen this in my own videos I have edited (particularly outside in sunlight) - specifically with a Bokeh filter - I promise it isn't "AI" doing it. This is simply a filter, or (as you see with high end cameras that focus center) a focus and compression of the uploaded video. As you can see at the end of the video, the ring is quite thin and similar to his skin color. The reason people are noticing this vs other videos is because they're putting a weird, hyper-focus on his newest videos. Does anyone even know where the original "proof/evidence" that Netanyahu was dead came from? You first have to answer that before we determine what is true or debunked. People just took that for granted without explanation lol

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Promising results in using AI to generate new assets! > Asset pack has no WALK or JUMP > Load existing anims into Nano Banana Pro > Prompt to create missing ones > Images are not 'clean' (wrong size, no transparency) > Load into Codex App w/ GPT 5.2 > Asked to normalise the new images > Create in-game debug tool to preview End result is not perfect... but still pretty cool! > Color palette not preserved exactly > Wrong clipping of edges > Walk cycle not complete Will continue to iterate and find improvements in this workflow.

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Yes, you can really see the aurora with your eyes — but not always as brightly or colorfully as photos suggest. The vivid greens, purples, and reds often seen online are enhanced by camera sensors that collect light over long exposures. Human vision works differently: in low light, our rod cells dominate, allowing us to detect faint movement and brightness but not much color. Because of this, many people perceive dim auroras as grey, white, or pale green rather than the vibrant tones shown in images. When the aurora is strong and directly overhead — especially in darker, high-latitude locations — your cone cells (which detect color) can engage, and you may see genuine greens and even pink or red hues. However, from lower latitudes or during weak displays, the colors are far subtler and may seem washed out. Factors like moonlight, mild light pollution, or even briefly flashing a light in your eyes can momentarily enhance color perception by activating your cone cells. So while the aurora is very real to the naked eye, it usually appears less colorful but more dynamic than in photographs — shimmering, shifting, and alive in motion. The true magic lies not in its brightness, but in the experience of seeing the sky itself come to life.
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Yes, you can really see the aurora with your eyes — but not always as brightly or colorfully as photos suggest. The vivid greens, purples, and reds often seen online are enhanced by camera sensors that collect light over long exposures. Human vision works differently: in low light, our rod cells dominate, allowing us to detect faint movement and brightness but not much color. Because of this, many people perceive dim auroras as grey, white, or pale green rather than the vibrant tones shown in images. When the aurora is strong and directly overhead — especially in darker, high-latitude locations — your cone cells (which detect color) can engage, and you may see genuine greens and even pink or red hues. However, from lower latitudes or during weak displays, the colors are far subtler and may seem washed out. Factors like moonlight, mild light pollution, or even briefly flashing a light in your eyes can momentarily enhance color perception by activating your cone cells. So while the aurora is very real to the naked eye, it usually appears less colorful but more dynamic than in photographs — shimmering, shifting, and alive in motion. The true magic lies not in its brightness, but in the experience of seeing the sky itself come to life.

Vincent Ledvina

16,687 views • 7 months ago

Americans have started to notice that companies sell the exact same products to men as they do women, but the women’s version cost more This is called “Pinkflation” or the “Pink Tax” This is a real and well documented fact Example Tweezers: Brands like Revlon, Tweezerman and more frequently sell basically identical stainless steel tweezers with only cosmetic differences like color and packaging. They markup the women’s line Women’s tweezers can be $18+ while men’s might be $12, but they’re the same It’s not just tweezers Studies from NYC Consumer Affairs and more have found women pay 13%+ more on average for similar personal care items like razors, deodorant, shampoo, and grooming tools Some women’s products have slight design tweaks but many don’t, many just change the color It’s just another corporate scam in America that’s somehow legal
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Americans have started to notice that companies sell the exact same products to men as they do women, but the women’s version cost more This is called “Pinkflation” or the “Pink Tax” This is a real and well documented fact Example Tweezers: Brands like Revlon, Tweezerman and more frequently sell basically identical stainless steel tweezers with only cosmetic differences like color and packaging. They markup the women’s line Women’s tweezers can be $18+ while men’s might be $12, but they’re the same It’s not just tweezers Studies from NYC Consumer Affairs and more have found women pay 13%+ more on average for similar personal care items like razors, deodorant, shampoo, and grooming tools Some women’s products have slight design tweaks but many don’t, many just change the color It’s just another corporate scam in America that’s somehow legal

Wall Street Apes

76,460 views • 1 month ago

this might actually be the new ugc method i've seen 100s of ai ugc ads lately where it's the same creator in every single one. same voice, same face, same brand colors, never drifts once what they're actually doing is running notch agents with memory they load the brand context one time. cloned voice, reference photo, brand color codes, do-not-say words, taste or they just teach it inline as they chat, and every correction becomes a saved rule then before it generates a single frame, the agent reads every relevant memory first. hard rules, reference assets, language constraints, taste preferences, all of it and it's workspace-wide, so every new ad already knows the brand before you type a word each chat isn't a re-introduction anymore. it's training your brand isn't a prompt. it's permanent context run 30-50 of those a month at a real offer and the volume does the rest punchier cut: the new method nobody's clocked yet run notch agents with memory on load the brand once. cloned voice, reference photo, color codes, do-not-say words, taste. or teach it inline and every correction saves as a rule it reads every relevant memory before it generates a single frame, workspace-wide each chat isn't a re-introduction. it's training. your brand isn't a prompt, it's permanent context run it at a real rate and the volume prints.
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this might actually be the new ugc method i've seen 100s of ai ugc ads lately where it's the same creator in every single one. same voice, same face, same brand colors, never drifts once what they're actually doing is running notch agents with memory they load the brand context one time. cloned voice, reference photo, brand color codes, do-not-say words, taste or they just teach it inline as they chat, and every correction becomes a saved rule then before it generates a single frame, the agent reads every relevant memory first. hard rules, reference assets, language constraints, taste preferences, all of it and it's workspace-wide, so every new ad already knows the brand before you type a word each chat isn't a re-introduction anymore. it's training your brand isn't a prompt. it's permanent context run 30-50 of those a month at a real offer and the volume does the rest punchier cut: the new method nobody's clocked yet run notch agents with memory on load the brand once. cloned voice, reference photo, color codes, do-not-say words, taste. or teach it inline and every correction saves as a rule it reads every relevant memory before it generates a single frame, workspace-wide each chat isn't a re-introduction. it's training. your brand isn't a prompt, it's permanent context run it at a real rate and the volume prints.

Sulfur

15,290 views • 1 month ago

id tech 3 shaders make water like this possible in a quake engine. the water shown here is simply additive blended textures that have either frame animation (surface, caustics) or multiple scrolling planes (waterfalls) which are lit (lightmap or vertex) and have soft, alpha blended edges. the caustics are just decals, and the water color is faked by tinting the world texture beneath the surface. the water assets account for around 4% of the game's current 70mb download size.
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id tech 3 shaders make water like this possible in a quake engine. the water shown here is simply additive blended textures that have either frame animation (surface, caustics) or multiple scrolling planes (waterfalls) which are lit (lightmap or vertex) and have soft, alpha blended edges. the caustics are just decals, and the water color is faked by tinting the world texture beneath the surface. the water assets account for around 4% of the game's current 70mb download size.

KillPixel Games

23,340 views • 1 month ago

I built a PDF compression tool instead of paying for it. It's funny because the more I get into AI, the more I realize how much I've stopped spending on SaaS subscriptions. Here are 5 things I used to pay for: 1/ PDF Compression → $9/mo 2/ Remove BG → $35/mo 3/ Typefully → $12.5/mo 4/ Link Shortener → $10/mo 5/ Color Palette Generator → $5/mo I've already replaced half of these with AI, and they're way better because they are personal and custom. No weird features or ads. Everything is hosted locally so I'm not uploading my data to random servers. I truly believe AI is changing the way we interact with SaaS entirely. More and more people will just build their own tools instead of purchasing generic subscriptions. It's easier because you just tell AI what problem you have, and it automatically comes up with a custom solution for you. I am already starting doing it. In a few months, I'll have my own "Home" hub where I have a bunch of custom apps working for me. All powered by AI. Pretty exciting!
0:11

I built a PDF compression tool instead of paying for it. It's funny because the more I get into AI, the more I realize how much I've stopped spending on SaaS subscriptions. Here are 5 things I used to pay for: 1/ PDF Compression → $9/mo 2/ Remove BG → $35/mo 3/ Typefully → $12.5/mo 4/ Link Shortener → $10/mo 5/ Color Palette Generator → $5/mo I've already replaced half of these with AI, and they're way better because they are personal and custom. No weird features or ads. Everything is hosted locally so I'm not uploading my data to random servers. I truly believe AI is changing the way we interact with SaaS entirely. More and more people will just build their own tools instead of purchasing generic subscriptions. It's easier because you just tell AI what problem you have, and it automatically comes up with a custom solution for you. I am already starting doing it. In a few months, I'll have my own "Home" hub where I have a bunch of custom apps working for me. All powered by AI. Pretty exciting!

Felix Haas

31,219 views • 5 months ago

Turn Tom and Jerry in 4K reality using Seedance 2.0 on Pollo AI Prompt: Use the uploaded reference video as the master reference. Recreate the entire scene in ultra-photorealistic live action while preserving the original video frame-by-frame. Maintain the EXACT camera movement, lens, framing, composition, timing, pacing, shot transitions, lighting direction, environment, props, object placement, character blocking, and every action from the reference video. ONLY replace the cartoon characters with realistic live-action animals while keeping everything else unchanged. ======================== CHARACTER CONSISTENCY ======================== Tom is a realistic British Shorthair cat with: • blue-gray plush fur • white chest, muzzle and paws • large amber eyes • pink nose • rounded face • thick tail • expressive eyebrows • identical appearance in every frame • identical fur pattern, facial proportions, eye color and body size throughout the video Jerry is a realistic golden Syrian hamster with: • soft golden-brown fur • cream belly • large rounded ears • black shiny eyes • tiny pink paws • small pink nose • realistic whiskers • consistent body proportions in every frame • identical appearance throughout the entire video If other Tom & Jerry characters appear, replace them with realistic animals that preserve their personality, colors, proportions and expressions while remaining identical throughout the clip. ======================== MOTION ======================== Preserve every movement exactly. The realistic animals must perform the exact same actions, walking cycle, head movement, eye movement, paw placement, facial expressions, timing and interactions as in the reference animation. No new actions. No altered timing. No changed poses. ======================== ENVIRONMENT ======================== Keep the original environment exactly the same. Do not modify: • furniture • decorations • room layout • colors • props • shadows • reflections • camera angle • camera path Everything except the characters must remain unchanged. ======================== QUALITY ======================== Hollywood-quality CGI. Photorealistic animals. Natural muscle movement. Physically accurate fur simulation. Realistic whiskers. Subsurface scattering. Realistic eye reflections. Natural breathing. Micro facial expressions. Ultra detailed textures. Soft cinematic lighting. Shallow depth of field. Global illumination. Ray-traced reflections. Macro photography realism. 4K HDR. Disney-level VFX quality. Live-action realism. Extremely stable temporal consistency. Perfect character identity consistency across all frames. Do not redesign the characters. Do not change the environment. Do not change the camera. Do not change the timing. Do not add new objects. Do not crop or zoom differently. No flickering. No morphing. No identity drift. No fur color changes. No eye color changes. No size changes. No anatomy deformation. No extra limbs. No duplicate animals. No cartoon textures. No low-quality CGI. No inconsistent lighting. No frame-to-frame variation. Maintain perfect temporal consistency and character consistency throughout the entire video.
0:15

Turn Tom and Jerry in 4K reality using Seedance 2.0 on Pollo AI Prompt: Use the uploaded reference video as the master reference. Recreate the entire scene in ultra-photorealistic live action while preserving the original video frame-by-frame. Maintain the EXACT camera movement, lens, framing, composition, timing, pacing, shot transitions, lighting direction, environment, props, object placement, character blocking, and every action from the reference video. ONLY replace the cartoon characters with realistic live-action animals while keeping everything else unchanged. ======================== CHARACTER CONSISTENCY ======================== Tom is a realistic British Shorthair cat with: • blue-gray plush fur • white chest, muzzle and paws • large amber eyes • pink nose • rounded face • thick tail • expressive eyebrows • identical appearance in every frame • identical fur pattern, facial proportions, eye color and body size throughout the video Jerry is a realistic golden Syrian hamster with: • soft golden-brown fur • cream belly • large rounded ears • black shiny eyes • tiny pink paws • small pink nose • realistic whiskers • consistent body proportions in every frame • identical appearance throughout the entire video If other Tom & Jerry characters appear, replace them with realistic animals that preserve their personality, colors, proportions and expressions while remaining identical throughout the clip. ======================== MOTION ======================== Preserve every movement exactly. The realistic animals must perform the exact same actions, walking cycle, head movement, eye movement, paw placement, facial expressions, timing and interactions as in the reference animation. No new actions. No altered timing. No changed poses. ======================== ENVIRONMENT ======================== Keep the original environment exactly the same. Do not modify: • furniture • decorations • room layout • colors • props • shadows • reflections • camera angle • camera path Everything except the characters must remain unchanged. ======================== QUALITY ======================== Hollywood-quality CGI. Photorealistic animals. Natural muscle movement. Physically accurate fur simulation. Realistic whiskers. Subsurface scattering. Realistic eye reflections. Natural breathing. Micro facial expressions. Ultra detailed textures. Soft cinematic lighting. Shallow depth of field. Global illumination. Ray-traced reflections. Macro photography realism. 4K HDR. Disney-level VFX quality. Live-action realism. Extremely stable temporal consistency. Perfect character identity consistency across all frames. Do not redesign the characters. Do not change the environment. Do not change the camera. Do not change the timing. Do not add new objects. Do not crop or zoom differently. No flickering. No morphing. No identity drift. No fur color changes. No eye color changes. No size changes. No anatomy deformation. No extra limbs. No duplicate animals. No cartoon textures. No low-quality CGI. No inconsistent lighting. No frame-to-frame variation. Maintain perfect temporal consistency and character consistency throughout the entire video.

Oogie

59,968 views • 11 days ago

Hey Harry, why don't we talk about the narrative your buddy, Renee DiResta and her Soros-Connected ‘Election Integrity Partnership’, put together to protect the Color Revolution against President Trump? A perfectly timed and executed CCDH UK report that came out of nowhere weighing in on US election misinformation. A fughazi report that Democrats like, Amy Klobuchar and Chris Coons, used to push for censorship in December 2020. How did you know about the J6 coup harry? Were you communicating with someone using that Signal app that you mysteriously deleted everything and have no explanation for? Just wait till tomorrow's video....
0:13

Hey Harry, why don't we talk about the narrative your buddy, Renee DiResta and her Soros-Connected ‘Election Integrity Partnership’, put together to protect the Color Revolution against President Trump? A perfectly timed and executed CCDH UK report that came out of nowhere weighing in on US election misinformation. A fughazi report that Democrats like, Amy Klobuchar and Chris Coons, used to push for censorship in December 2020. How did you know about the J6 coup harry? Were you communicating with someone using that Signal app that you mysteriously deleted everything and have no explanation for? Just wait till tomorrow's video....

TR G - The Royal Grift

22,314 views • 6 months ago

📖THE STEP MOST CREATORS SKIP IS WHY THEIR AI ANIMATION LOOKS INCONSISTENT Consistency across clips doesn't come from prompting — it comes from the reference image. The pipeline, step by step: ▪ Start with ChatGPT Image 2 — generate a full character design sheet first, not just a single frame. Multiple angles, expressions, and outfit variations in one image keeps the character consistent across every scene ▪ Build a storyboard inside ChatGPT Image 2 as well — define each shot, camera angle, action, and mood before touching Seedance at all. This is the step most people skip and it's the reason clips look disconnected ▪ Define a color palette and lighting mood early — golden afternoon light, soft warm tones, dramatic shadows. Lock those values and repeat them across every prompt ▪ Take each storyboard frame into Seedance 2.0 as the reference image — one frame becomes one clip ▪ Write the Seedance prompt around the character action, not the scene description. The scene is already in the image. The prompt handles motion, camera behavior, and timing ▪ Keep clip duration between 4-6 seconds per shot — shorter clips give more control over pacing and reduce motion drift on character faces ▪ Match camera movement type across consecutive clips — if one shot dollies in, the next should hold or pull back, not dolly again The consistency across these frames comes from the character design sheet, not from luck. Seedance reads the reference image and the prompt together — if the reference is detailed enough, the output stays on-model. This video was created by ALOKXMEHTA 📥 tomorrow: the exact ChatGPT Image 2 prompt structure used to generate a multi-angle character design sheet like this one 🔖One article covers the entire workflow — it is pinned below, do not scroll past it.
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📖THE STEP MOST CREATORS SKIP IS WHY THEIR AI ANIMATION LOOKS INCONSISTENT Consistency across clips doesn't come from prompting — it comes from the reference image. The pipeline, step by step: ▪ Start with ChatGPT Image 2 — generate a full character design sheet first, not just a single frame. Multiple angles, expressions, and outfit variations in one image keeps the character consistent across every scene ▪ Build a storyboard inside ChatGPT Image 2 as well — define each shot, camera angle, action, and mood before touching Seedance at all. This is the step most people skip and it's the reason clips look disconnected ▪ Define a color palette and lighting mood early — golden afternoon light, soft warm tones, dramatic shadows. Lock those values and repeat them across every prompt ▪ Take each storyboard frame into Seedance 2.0 as the reference image — one frame becomes one clip ▪ Write the Seedance prompt around the character action, not the scene description. The scene is already in the image. The prompt handles motion, camera behavior, and timing ▪ Keep clip duration between 4-6 seconds per shot — shorter clips give more control over pacing and reduce motion drift on character faces ▪ Match camera movement type across consecutive clips — if one shot dollies in, the next should hold or pull back, not dolly again The consistency across these frames comes from the character design sheet, not from luck. Seedance reads the reference image and the prompt together — if the reference is detailed enough, the output stays on-model. This video was created by ALOKXMEHTA 📥 tomorrow: the exact ChatGPT Image 2 prompt structure used to generate a multi-angle character design sheet like this one 🔖One article covers the entire workflow — it is pinned below, do not scroll past it.

Zentrix⌚️

12,846 views • 19 days ago

🚨 Great news from President Trump on Truth Social — the Great Reflecting Pool is now open and looking absolutely beautiful! 🇺🇸 “The Great Reflecting Pool, that stretches between The Lincoln Memorial and The Washington Monument, just opened to ‘rave reviews’… This was highly sophisticated material, industrial strength, that could last for 100 years… The material is thick, strong, flexible, and has a natural, beautiful color, the dark blue of the American Flag!” — President Donald J. Trump Pride in our landmarks, quality craftsmanship, and long-lasting upgrades. This is what winning looks like! What a stunning sight for our Nation’s Capital. Are you happy to see this rejuvenation? (Video: AI)
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🚨 Great news from President Trump on Truth Social — the Great Reflecting Pool is now open and looking absolutely beautiful! 🇺🇸 “The Great Reflecting Pool, that stretches between The Lincoln Memorial and The Washington Monument, just opened to ‘rave reviews’… This was highly sophisticated material, industrial strength, that could last for 100 years… The material is thick, strong, flexible, and has a natural, beautiful color, the dark blue of the American Flag!” — President Donald J. Trump Pride in our landmarks, quality craftsmanship, and long-lasting upgrades. This is what winning looks like! What a stunning sight for our Nation’s Capital. Are you happy to see this rejuvenation? (Video: AI)

Paul A. Szypula 🇺🇸

237,899 views • 1 month ago

Real-time video generation is officially here 👀 Krea AI just opened the waitlist for their new real-time video engine 😮 👉 What they’re promising: 1️⃣ 12+ FPS generation: True real-time 2️⃣ Multi-input control: Use text prompts, images, your screen, or even your webcam as a source 3️⃣ “World Model” Engine: “systems that learn how scenes evolve and how actions ripple forward in time” (c) A huge step for real-time storytelling and interactive experiences is here Take a look yourself 👇 (Video credit: Krea AI)
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Real-time video generation is officially here 👀 Krea AI just opened the waitlist for their new real-time video engine 😮 👉 What they’re promising: 1️⃣ 12+ FPS generation: True real-time 2️⃣ Multi-input control: Use text prompts, images, your screen, or even your webcam as a source 3️⃣ “World Model” Engine: “systems that learn how scenes evolve and how actions ripple forward in time” (c) A huge step for real-time storytelling and interactive experiences is here Take a look yourself 👇 (Video credit: Krea AI)

AmirMušić

17,328 views • 10 months ago

Impeccable 3.7 brings linting to design. Until now it was a skill you asked for help. Now it's a design-system-aware feedback loop that runs while your agent builds, catching slop and design drift before they land. 🪝 Design hooks for Claude, Codex, and Cursor They run after every UI edit and quietly nudge your agent to fix slop and drift. The output isn't another wall of lint: it separates new findings from already-seen ones, flags clean scans, and asks the agent to use judgment. Fix real issues, leave intentional demos alone, save exceptions to config instead of littering your source. 🎨 Slop detection is now project-aware Reads your actual design system from DESIGN.md, your typography, palette, radius scale, and tokens, and flags drift from your system, not just generic AI slop: • this font isn't in your design system • this color is outside your documented palette • this radius doesn't match your rounded scale The same engine powers both the hooks and the CLI, and it's where we're investing next. 🖥️ Live Mode, ready for real projects Svelte/SvelteKit now preview variants as temporary framework components with live params, then accept cleanly back into your source component. Manual text edits got evidence / apply / discard routes, insertions preserve their anchors, and mapped lists and JSX slots clean up far more reliably. ⚡ Leaner core, sharper detector Rule-level evals across 3 providers and 4 niches cut guidance with no measurable lift and dropped examples that taught models bad patterns. The detector now skips hidden and screen-reader-only elements, understands OKLCH alpha and Sass-like inputs, and tightened checks for repeated kickers, oversized H1s, clipped overflow, and cramped padding. 🛠️ CLI caught up impeccable detect loads DESIGN.md by default, motion findings name the exact token or cubic-bezier instead of just "bounce," and impeccable ignores gives real CRUD for exceptions. Hooks and CLI share the same ignores. No split-brain config. Plus a much-improved interactive installer with hooks setup built in. Upgrade: npx impeccable install npm i -g impeccable
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Impeccable 3.7 brings linting to design. Until now it was a skill you asked for help. Now it's a design-system-aware feedback loop that runs while your agent builds, catching slop and design drift before they land. 🪝 Design hooks for Claude, Codex, and Cursor They run after every UI edit and quietly nudge your agent to fix slop and drift. The output isn't another wall of lint: it separates new findings from already-seen ones, flags clean scans, and asks the agent to use judgment. Fix real issues, leave intentional demos alone, save exceptions to config instead of littering your source. 🎨 Slop detection is now project-aware Reads your actual design system from DESIGN.md, your typography, palette, radius scale, and tokens, and flags drift from your system, not just generic AI slop: • this font isn't in your design system • this color is outside your documented palette • this radius doesn't match your rounded scale The same engine powers both the hooks and the CLI, and it's where we're investing next. 🖥️ Live Mode, ready for real projects Svelte/SvelteKit now preview variants as temporary framework components with live params, then accept cleanly back into your source component. Manual text edits got evidence / apply / discard routes, insertions preserve their anchors, and mapped lists and JSX slots clean up far more reliably. ⚡ Leaner core, sharper detector Rule-level evals across 3 providers and 4 niches cut guidance with no measurable lift and dropped examples that taught models bad patterns. The detector now skips hidden and screen-reader-only elements, understands OKLCH alpha and Sass-like inputs, and tightened checks for repeated kickers, oversized H1s, clipped overflow, and cramped padding. 🛠️ CLI caught up impeccable detect loads DESIGN.md by default, motion findings name the exact token or cubic-bezier instead of just "bounce," and impeccable ignores gives real CRUD for exceptions. Hooks and CLI share the same ignores. No split-brain config. Plus a much-improved interactive installer with hooks setup built in. Upgrade: npx impeccable install npm i -g impeccable

Impeccable

230,789 views • 1 month ago

TikTok Shop + Seedance 2 + Claude Code is f*cking cracked i just built a tool that scrapes the top-selling TikTok Shop products in your niche, pulls every creator video selling them, and lets you recreate any one as an on-brand video for your own product using AI. if you're a DTC brand or ecom operator and you're still paying creators $500 per video or briefing an agency every week, this replaces that entire workflow. here's how it works: > drop in your brand info and 1-3 product photos search your niche on TikTok Shop like "gut health supplements" or "skincare" or whatever you're selling > browse the top-selling products and every creator video promoting them pick a viral video that's already proven to convert > the AI analyzes the hook, structure, and pacing > one click and Seedance 2 generates a new version built around your product why test from scratch when you can just recreate what's already working? RT + reply "VIRAL" and i'll send you the full app + setup guide (must follow so i can dm)
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TikTok Shop + Seedance 2 + Claude Code is f*cking cracked i just built a tool that scrapes the top-selling TikTok Shop products in your niche, pulls every creator video selling them, and lets you recreate any one as an on-brand video for your own product using AI. if you're a DTC brand or ecom operator and you're still paying creators $500 per video or briefing an agency every week, this replaces that entire workflow. here's how it works: > drop in your brand info and 1-3 product photos search your niche on TikTok Shop like "gut health supplements" or "skincare" or whatever you're selling > browse the top-selling products and every creator video promoting them pick a viral video that's already proven to convert > the AI analyzes the hook, structure, and pacing > one click and Seedance 2 generates a new version built around your product why test from scratch when you can just recreate what's already working? RT + reply "VIRAL" and i'll send you the full app + setup guide (must follow so i can dm)

Miko

97,999 views • 2 months ago