✂️ Introducing: Image Cutter 🤖 generate an icon sets... with gpt 📥 drop png in Image Cutter 📏 choose cutting layout 💾 automatically cut + trim + save as individual files 🔗 in replyshow more

Create a short film like this in just 1... minute with GPT Image 2.0 + Seedance 2.0. GPT Image 2.0 can naturally combine multiple photos into one single image, while Seedance 2.0 can use that image as a reference to automatically separate the scenes, generate a coherent video sequence, and add suitable background music. This workflow greatly improves the overall creative efficiency. When using this method, simply provide the merged image as a reference for Seedance 2.0 and briefly describe each scene with a simple prompt. This can significantly increase the success rate of the final video. All of the above was created on GPT Image Prompt: Seedance Prompt:show more

Idea → stunning game in minutes with GPT Image... 2.0. Full pipeline for a human companion vs transformer scene: 1. GPT Image 2.0 -- character + scene concepts 2. Grok Imagine -- turn stills into video mockups or cutscenes 3. fal + MeshyAI -- generate the 3D assets 4. Rosebud -- port in as cutscenes or playable characters and vibe code the game Character design and game scene ideation is fundamentally different now. Reply for Rosebud credits to try implement this yourself. Full prompts for character sheets below 👇🎮show more

Code Interpreter in ChatGPT is incredible! Took me 5... mins to make this game. You can make your own game assets with any AI generator and then ask GPT-4 with Code Interpreter to write code. If you have any problems you can ask it to fix the errors. 1. Write this prompt: "write p5.js code for Asteroids where you control a spaceship with the mouse and shoot asteroids with the left click of the mouse. If your spaceship collides with an asteroid, you lose. If you shoot down all asteroids, you win! I want to use my own textures for the spaceship and for asteroids." 2. Go to Openprocessing website create and save sketch (you'll need to save it before uploading any texture files). Copy paste code from GPT-4 3. Generate texture files and remove backgrounds, for example in Clip Drop 4. Replace names of files with your filenames 5. Run the program 6. If something doesn't work ask GPT-4 to fix it (you can copy an error and paste in GPT-4) like you would ask a human programmer 7. To learn a bit of programming write these prompts to GPT-4: "Act as my programming teacher. Tell me an algorithm of Asteroids game in detail and make names of functions and explain what each of these functions will do. Don't write the code just yet." and then " Can you describe the algorithm overall for a 10-year-old child"show more

🚨 JUST IN: THIS FREE TOOL JUST REPLACED FOUR... AI IMAGE AND VIDEO SUBSCRIPTIONS AT ONCE. Midjourney. Krea. Higgsfield. Openart. One repo. 200+ models. Zero dollars a month. Here is what it actually does. It is a full image and video studio that runs in your browser or as a desktop app. Text to image, image to image, text to video, image to video, lip sync, cinema mode with real camera controls. All of it. 4,500 people already starred this. What you get for free: → 50+ image models including Flux, Midjourney v7, Ideogram, GPT-4o, Seedream → 60+ video models including Kling, Sora, Veo, Runway, Wan, Hailuo → lip sync studio with 9 dedicated models. upload a portrait and audio and it talks → cinema studio with real camera controls. lens, focal length, aperture, film stock → feed up to 14 reference images into one generation → self-hosted. your data never leaves your machine The crazy part is there is also a hosted version that needs zero setup. Just open the link and start generating. Now the math. Midjourney Standard: $30/month Krea AI Pro: $30/month Higgsfield Plus: $49/month Openart AI: $15/month That is $124 a month. $1,488 a year. This repo does everything all four do. With more models than any of them. For free. Forever. No subscription. No vendor lock-in. MIT licensed. Download it in one click on Mac or Windows. Someone should have told me about this sooner. I feel like an idiot. ( save this )show more

Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation paper page:... Large text-to-image diffusion models have exhibited impressive proficiency in generating high-quality images. However, when applying these models to video domain, ensuring temporal consistency across video frames remains a formidable challenge. This paper proposes a novel zero-shot text-guided video-to-video translation framework to adapt image models to videos. The framework includes two parts: key frame translation and full video translation. The first part uses an adapted diffusion model to generate key frames, with hierarchical cross-frame constraints applied to enforce coherence in shapes, textures and colors. The second part propagates the key frames to other frames with temporal-aware patch matching and frame blending. Our framework achieves global style and local texture temporal consistency at a low cost (without re-training or optimization). The adaptation is compatible with existing image diffusion techniques, allowing our framework to take advantage of them, such as customizing a specific subject with LoRA, and introducing extra spatial guidance with ControlNet. Extensive experimental results demonstrate the effectiveness of our proposed framework over existing methods in rendering high-quality and temporally-coherent videos.show more

GPT Image 2 + Seedance 2.0 I used a... movement sheet as a reference image to animate the dance. Prompt: Monochromatic grayscale illustration, 3D-rendered character, clean instructional reference sheet. White background, comic-style cell grid layout, technical diagram aesthetic. [LAYOUT] 4×4 grid layout (16 panels total). Each panel separated by thin black border lines. Panels are evenly sized and consistently aligned. Each cell is clearly numbered from 1 to 16. [CHARACTER] (Insert character description) Example: Young female dancer with an athletic build, ponytail hairstyle, wearing a crop top, baggy pants, and sneakers. The same character must appear consistently in all panels. [PANEL STRUCTURE – per cell] Top-left: bold number badge + Korean title text Center: full-body character pose illustration Bottom-left: Korean description text (3–4 lines) Overlay: directional arrows indicating movement flow [ARROWS / MOTION INDICATORS] Curved arrows, straight arrows, and circular rotation indicators. Arrows should be placed around the character to clearly show movement direction and flow. [RENDERING STYLE] Highly detailed 3D sculpted style. Soft studio lighting with subtle shadows. No color — grayscale only. Clean linework, polished finish, game concept art quality. [NEGATIVE PROMPT] No background scenery. No color tones. No additional characters. No cluttered or complex backgrounds.show more

Claude Code + Gemini Omni + GPT Image 2... is f*cking cracked i just built an AUTOMATED AI UGC content system that generates full ad creatives end to end drop in your product photos and a one line pitch, and the system analyzes your brand, generates a realistic AI avatar, writes the script, renders the video, adds captions, and stitches everything together. in literally one click. if you're still wasting hours generating videos or hiring expensive editors with long turnaround times, this is for you.. here's how it works: > drop in your product photos and brand info > the system finds a reference image that matches your target audience it generates a detailed JSON prompt and creates a hyper realistic starting frame > feeds everything into Gemini Omni and renders the full video with voice outputs and captions, all ready to post and all through Kie AI MCP or Higgsfield MCP (you have full control) the whole process runs inside Claude Code. so you're not jumping between 6 different tabs trying to piece things together. one system handles everything its only a 3 minute setup and 4-12 min per ad. each 30 second ad costs under $3 in API credits which is way cheaper than any editor and 10x faster.. RT + reply "UGC" and i'll send it over (must follow so i can dm)show more

gemini omniflash is actually f*cking cracked. you can animate/edit... any video with a text prompt. character swaps, object transforms, full environment changes without regenerating/rotoscoping. everyone using AI to to animate and edit videos right now hits the same wall. the clip comes out 90% right and you regenerate from scratch hoping the 10% fixes itself. it never does. the fix is using your video as the input. omniflash edits what's already there instead of rolling the dice again. here's what's in the system: > the two-layer premiere trick: generate the same shot twice (one with background removed), stack them, cut at one frame, instant scene change > character swap with a single reference image (plus the one line you need or the model keeps the original's features) > object transforms that leave the rest of the frame untouched: stone into glowing sphere, candles into flowers > style transfer from an image reference instead of text, way more accurate > why stacking edits in one prompt breaks everything and the exact step order that doesn't > the audio limitation nobody mentions and how to work around it i packaged every prompt, the edit sequence, and the premiere layering setup. RT + reply "OMNI" and i'll send it over.show more

RHP Cole Leaman (Lehigh Baseball) is an arm I'm... really looking forward to following this spring. Fresh off a strong Sophomore season in which he worked a 2.31 ERA with 49 Ks to 23 BB across 46.2 IP. Showed some positive flashes on the Cape. While slightly undersized, Leaman has a strong and athletic build at 6' and 190-lbs. Has put on a lot of good weight over the last couple of years. Leaman has almost a "check point" delivery in which he takes a noticeable side step towards the 1B side, gathers himself and breaks into the rest of his motion. Lengthy arm stroke and attacks from a high-3/4 slot from a low release height. Leaman is a high-level athlete and a dynamic mover on the mound. Sits really well on his back glute and his lead leg block enables him to generate power and drive his back side through. Drop and drive delivery. Little bit of effort, but plenty of arm speed. Leaman's FB sits in the 91-94 range, but it was up to 96 this summer and 98 this fall. Jumps out of his hand from a ~5'3" release height and flashes riding life through the zone. Averaged 15" of carry this summer and 2,361 RPMs. Gets over the barrels of opposing hitters when located in the top-1/2 of the zone, which is where the pitch is at its best. Command can be erratic at times. Would give it a 55. Leaman's most-used off speed pitch is a high-70s-to-low-80s CB. Shape is inconsistent and it can get a little slurvy at times, but he snapped off a handful of really good ones between the spring and summer. When it's at its best, it will flash a bigger shape with sharp, downward tilt. Leaman will also mix in a low-to-mid-80s SL that's distinct in shape. Another pitch he's still gaining a feel for, but like his CB it's also shown big time flashes. Shape of it will vary, but it will sometimes flash plus with sharp, two-plane break (more sweep than depth) and essentially take a late, hard left turn. Rounds out his arsenal with a high-80s cutter and a mid-to-high-80s CH. The former is more intriguing than the latter. Curious to see how much he uses the cutter this spring, threw a couple this summer that had late glove-side life. Leaman has a very intriguing blend of athleticism and stuff, though he'll need to iron out his command and control in order to maximize his upside. As mentioned, it's a bit scattered right now and has hindered him in some starts. 5th-8th round type this July. (📽️: Falmouth Commodores)show more

And then he says: “I may be Jewish.” That... line matters less as identity and more as branding theater. In that same post, he wrapped himself in anti-woke moralizing, Christian rhetoric, nationalism, and a broad “we are all Americans” pitch. It fits the pattern: Fishback is always selling himself to whichever room he is standing in. So taken together, the pattern is brutal: He sold anti-antisemitism respectability with Bari Weiss. He pushed antisemitism panic on Fox. He appeared on air with a Israel/U.S. pin. He later pivoted into anti-Israel populism. He carries Greenlight legal baggage, including admitted misconduct with confidential information. And his personal timeline with the 17-year-old allegation looks exactly like the kind of story a man hopes people will discuss sloppily so he can retreat into technical denials. That is not integrity. Is it? What about Vass, inc (cntl#28394) on Open Secrets. Money to candidates like Fishback, James HEIM, John MISIASZEK, Lori HEIM.. you see it don’t you? As far back as 2016. Lastly, Fishback is the whole scam in one body: occult signals, Israel residue, Christian grift, legal jewry, and a grooming-shaped timeline defended by calendar math. No thanks. He doesn’t represent truth. He represents market-tested deception. Another polished little chameleon for the Beast system, flashing signs, changing scripts, and selling whichever gospel pays best. a full-spectrum asset in a necktie. Get real and wake the hell up people. All of them means ALL OF THEM. No heroes. No halos. End Hopium. H/t 🎩 TEMPLER He gave me the initial “in” I needed. 🔗 Substack, consider upgrading ☕ Fuel the fire If not, no worries. But the least you can do is like, comment and share! The truth doesn’t need everyone, just enough of us. Be cool, fookers! Receipts full links on Substack including FOX interview: • Fishback’s Free Press author page shows he wrote for Bari Weiss’s outlet in 2023–2024, including pieces on debate and “banned books.” (The Free Press) • Your Dec. 27, 2023 screenshot shows Fishback praising Bari Weiss’s How to Fight Anti-Semitism and writing: “To tolerate anti-Semitism is to tolerate lies.” • In the Fox “banned books” interview, Fishback said the education problem included “the increase in anti-Semitic education.” That language appears in the transcript. Link: In the image you shared from that Fox hit, he appears to be wearing a U.S.–Israel flag pin. • Bloomberg reported Fishback admitted sending Greenlight’s confidential positions/strategy summaries and a full portfolio document to his personal email, while also having an undisclosed personal trading account in overlapping instruments; he agreed to pay Greenlight’s legal fees and costs. (Bloomberg) • Separate reporting says Greenlight also got a judgment against him in a promissory-note dispute. ( • Broward schools cut ties with Fishback in 2022 after allegations involving an inappropriate relationship with a minor tied to his debate operation, according to NBC-based reporting cited by multiple outlets. (Yahoo) • Fishback denied wrongdoing and denied inappropriate conduct before she turned 18. (Yahoo) • The same reporting says she later moved in with him in 2023 and they were briefly engaged. (Yahoo) • By early 2026, Fishback was being described as an anti-Israel Florida candidate using rhetoric that drew antisemitism accusations from multiple outlets. (Jewish Telegraphic Agency) • On the Vass, NC / 28394 money angle: interesting lead, not a receipt yet. A surname plus ZIP is not enough to tie those donations to this James Fishback without stronger matching identifiers. The FEC itself says contributor research should be narrowed by fields like committee, date, amount, employer, occupation, city, and state. (show more

A FULL ANIME FIGHT SCENE GENERATED WITH AI. AND... THE PROMPT IS PUBLIC. Higgsfield just open-sourced its Originals: their flagship in-house productions are now fully transparent. For every video you can see: → the full prompt → every reference (image and audio) → the exact generation settings: model, quality, resolution This clip has a creature transformation, two-character fight choreography, slow motion, even pink blood to dodge the gore. All described in a single prompt you can copy, reproduce or remix as is. Full prompt: "Girll with blue hair and guy with black hair enters empty classroom at dusk, red-orange sky bleeding through tall windows, desks and chairs overturned and scattered with loose papers on the floor; the black-bob girl in a white sailor uniform with blue collar sits collapsed against the wall beneath the blackboard, knees drawn up, sweat soaking her bangs, shoulders convulsing in short spasms, one hand pressed to her stomach, breath ragged and wet. Blue-haired girl in a navy school blazer and pleated skirt enters first through the sliding door, kusarigama scythe held low at her side, blade catching the red window-light; black-haired boy in an open-collar white shirt and loosened tie follows a beat behind, war hammer resting on his shoulder, smirk fading as he sees the sick girl. Camera pushes in low and fast toward the collapsed girl, handheld micro-shake, then whip-pans to the two arrivals freezing in the doorway. The sick girl's spine arches unnaturally, a wet tearing sound as her skin splits along the shoulder blades, bone spurs punching outward, extra eyelids blistering open across her collarbone and cheeks — camera holds in a static wide as the transformation escalates, cutting to tight inserts of individual eyes opening one by one along her growing arms, her school uniform shredding as the body doubles then triples in mass, clawed feet cracking the floorboards, her head deforming into a horned, skull-white cranium ringed with curved fangs, one massive central eye where her face used to be, remnants of the blue collar-ribbon still hanging from a warped throat. She rises to full monster height, towering over the desks, guttural roar rattling the windows. Blue-haired girl plants her feet and swings the scythe up into guard as the boy drops the hammer off his shoulder into a two-handed grip; camera does a fast 180-degree orbit around both of them as they charge. Dutch-angle low shot as the boy closes distance first, hammer swinging in a wide horizontal arc into the monster's leg — impact throws him sideways through a row of desks, wood splintering, into the side wall, plaster cracking around his body, hard cut to his grunt and a slow recovery push off the wall. Blue-haired girl vaults over the wreckage, scythe trailing a whip of motion blur, camera speed-ramping into slow motion as the curved blade connects across the monster's forearm — hot pink ichor sprays in thick arcing ribbons instead of red blood, droplets suspended mid-air in the slowed frame, blade sound a wet metallic tear. Monster backhands her mid-recovery, camera whip-pans to follow her body slamming into the blackboard, chalk dust exploding outward, board cracking down the middle. Rapid cross-cutting: low hero-angle on the boy re-entering with a rising hammer strike into the monster's exposed ribcage-like plating, close slow-mo insert on the point of impact as bone-white shards and pink fluid burst outward; over-the-shoulder shot from the monster's height looking down as both fighters flank it from opposite sides. Girl's scythe hooks into the monster's shoulder joint, camera locked tight on her straining grip and gritted teeth as she wrenches it downward, boy's hammer following through into the same joint a half-second later — impact sound layered, thick and final, monster's roar breaking into a low collapsing groan as its mass folds inward and it drops to its knees then face-first into the floor in a slow, weighty fall, camera pulling back and up into a wide static shot of the wrecked classroom settling into stillness. Both fighters stand over the fallen mass, weapons lowering, chests heaving, camera slowly circling them at floor level; blue-haired girl wipes pink fluid off her cheek with the back of her wrist and starts laughing between breaths, boy lets the hammer head drop to the floor with a thud and laughs too, leaning against a desk, both grinning, exhausted, shoulder-checking each other, red dusk light still pouring through the cracked windows. Ambient sound throughout: creaking wood, scattering papers, cracking plaster, wet impact foley, labored breathing, the monster's guttural vocalizations, ending on genuine breathless laughter. Render risk: full-body transformation sequence may render as a static morph or skip frames — fallback to hard-cutting between three discrete transformation stages rather than one continuous morph if the engine smooths it into mush. Risk: pink blood may drift toward red under default color grading — reinforce with explicit magenta-pink hue callouts at each blood beat. Risk: multi-character wide fight choreography may merge the two fighters' silhouettes in wide shots — favor alternating single-subject framing over simultaneous two-shot action if clarity fails." Made with Seedance 2.0 on Higgsfield AI Full open-sourced prompts & assets below👇show more

i analysed 1,000 TIKTOK slideshows for consumer apps... here's... what i found something that change how you run your app/saas campaign since. most people assume the slideshow with the most views brings in the most installs. i tracked every metric i could pull across 1000+ posts. views, saves, comment sentiment, slide count, where the app got mentioned in the sequence, caption length, niche. the data told a different story. the highest converting slideshows rarely broke 100k views. some sat under 20k. meanwhile some of the viral ones with 2m+ views converted under 0.05%. viral and profitable are two different games. here's the pattern that separated the winners. the format was almost always: content, content, content, content, ad warmup, app push. 4 to 6 slides that feel like normal lifestyle or niche content, no mention of the app at all. then one slide near the end where the product shows up, framed as part of the story instead of an ad. apps that opened with the product on slide 1 underperformed almost every time. the accounts winning were disguising the app inside content people were already scrolling for anyway. travel aesthetics, interior inspiration, "things nobody tells you about x" hooks, niche opinions. the second pattern was volume, not virality. accounts running 8-10 tiktoks, posting 2x a day, same slide formats with fresh variations each time. 90% of posts stayed under 5k views, most even under 300. a handful hit 50k-500k. a rare one crossed 1m. the accounts winning weren't making one perfect post, they were running the format enough times that the algorithm found the winners for them. the workflow behind it, if you want to copy it: research first. search your niche on tiktok, screenshot every top slideshow, save the captions somewhere. this is the raw material for everything after. pull matching visuals from pinterest for each slide type in that screenshot pile. figure out what slide 1 looks like, slide 2, slide 3. download a handful per slide type. not everything from pinterest can be reposted as is. run it through an image api like openai or gemini to generate variations that keep the same vibe. 5 slide types x 100 variations gets you 500 usable images fast. feed the competitor captions into claude code and have it write new caption variations in that same tone, keep the early slides content only, drop the app in near the end. claude code can overlay the captions onto the images directly using ffmpeg, then hand scheduling off to a tool that allows accounts to post automatically without you touching them daily. set this up once and you get months of content queued across every account, running the same proven format with fresh visuals each time. the accounts losing were treating every post as a one off. the accounts winning built a system and let volume do the work.show more

over the weekend, i built an app that i... sincerely hope you will never have a need for, but if you do happen to need a friendly, free, private mri viewer designed to make it easy for you to track tumor progression, you can try it here: here's the story: as some of you may know, last last september, my six year old daughter mira was diagnosed with an extremely rare brain tumor called an adamatinomatous craniopharyngioma, and since then our family has been doing everything we can possibly do to find a cure for her. we tortured chatgpt deep research, put together our own private research team, raised $1.4M and donated it all to Hankinson-Mitra Lab research thanks to $MIRA, explored every remotely applicable drug whether on the market or not, and even began working with md anderson to develop a personalized vaccine that we hope can lead to a more permanent cure unfortunately, we received the devastating news last march that the tumor has continued to grow since her initial surgery, and we had to start to consider more drastic options which would have seriously impacted mira’s quality of life. thankfully, with the help of dr. sabine mueller UCSF Benioff SF and the Hankinson-Mitra Lab at the university of colorado, in april, we started her on an alternative but extremely experimental treatment for this disease. to our unimaginable relief, her tumor has responded extraordinarily well to this treatment which combines tocilizumab (an arthritis drug that blocks IL6 receptors) with avastin (a colon cancer drug that inhibhits VEGF proteins). we know this, because mira gets an MRI scan of her brain every few months. and every time we get a new scan, the first thing we do is compare it against her last scan. so we have to find the matching weight of the scan, and then find the same plane, and then carefully find the slices of the scan where the tumor is visible, and then find the closest match to last month’s scan, then adjust the zoom, rotation, and brightness / contrast so they all look the same. we got pretty good at this. but it shouldn't be this hard. so i built last weekend using gemini 3 with some gpt 5.2 xhigh. you just import your DICOM MRI files (either zip, files or a folder), and you can align all of your scans across multiple dates instantly, just click and drag a rectangle around the tumor on any image, and it will use some very clever algorithms to automatically align up and find the closest matching slice from all your other scans, match the brightness / contrast, rotation, pan, zoom, and even shear to make sure the registration is as close as possible, and make it as easy to possible to compare tumor progression. it has a grid view so you can see all your scans for the same location all at once, and an overlay view so you can quickly compare two scans visually (by holding down the space bar to toggle quickly between two scans), along with tools to animate your scans both within the same sequence as well as over multiple scans to show progression. there is no server, it runs entirely locally on your browser - nothing ever gets uploaded and it's all open source: if you've found this useful, please consider a donation to the UCSF Benioff SF hospital foundation, who has given us extraordinary care over the past year or so:show more

I would like to explain the latest batch of... viral videos I'm working on to the bemused brainrot-curious reader who is not familiar with "the culture". Why are these characters, mixed with this song, going viral? It's all about connecting infinite referential mirrors. What makes this video interesting are not its individual parts but the signifier links it draws. Let's look at the individual parts: ONE: The song is a Brazilian funk or "pancadão" song called MC Lan e MC WM - Sua Amiga Vou Pegar, these days part of what's broadly referred as Brazilian phonk or just phonk (not to be confused with the original phonk, a Memphis-derived genre from the early 2010s built around chopped Three 6 Mafia samples, cowbells and lo-fi tape hiss and etc. The Brazilian version comes an entirely different lineage and got its name adapted from “funk” to “phonk” exclusively because the names sounded similar. It has a similarly menacing posture but swaps the rap cadence for funk's 4/4 with kicks on 1 and 3 rhythm and a much heavier, distorted 808 synth sound). Phonk is often used for its exaggerated reverb feeling bass lines to signify power, style or simply "aura", which you can take as a shorthand for poise, coolness, being de-bon-air and a general detached positive feeling of high status. Aura. Because most users cannot understand the Portuguese lyrics (which are often quite vulgar and sexual), the singing takes the characteristic of a chant, something to be appreciated entirely for its sound, texture and gravitas. The vocals are just another instrument where you can appreciate the menace and swagger of the delivery directly without the cognitive friction of meaning. Non-Portuguese-speaking audiences are not missing anything they were supposed to get, they get “the vibe” that matters, which is not lyrical. These songs are often paired with (male) characters that are taken to display these traits like American Psycho's Patrick Bateman (yes, yes I know that’s the opposite of what you should feel about the character), Peaky Blinder's Thomas Shelby and a menagerie of anime characters like Satoru Gojo (Jujutsu Kaisen), Yujiro Hanma (Baki) and Goku and, really, any male character that is just a little bit cool. TWO: The man in the suit is a minor Family Guy character called Tom Tucker. The reference comes from a scene where Meg sees him walking through her school and says "It's Tom Tucker from the news!” We then cut to her POV, where he is walking in slow motion with soft romantic music swelling and birds chirping, the whole love-at-first-sight trope. Then a camera crew member off-screen yells "hurry up Mr. Tucker," and we get to see he is not walking in slow motion because Meg is infatuated, he is just walking that slowly in real life. Only the music and the birds were in her head. The gag is built on the viewer recognizing the romantic-slow-motion trope, briefly accepting it as the scene's reality, and then being shown that we (and Meg) projected the trope onto what is actually just a man walking very slowly. HA! The original gag is already about projection: a neutral image (slow walk) being assigned an external meaning (romance) by a viewer's pattern-recognition. This is what makes the edit-culture appropriation work so well. The clip got stripped of its context, paired with phonk and text overlays (AURA or “Me and the boys going to detention”), and retroactively assigned a new meaning, only this time it’s the cinematic nonchalant walk, the slow deliberate gait that signifies a man who knows he's the most important thing in the frame (ta la any 1980s Schwazerneggerian action movie hero walking away from an explosion without looking back, every yakuza boss entering a room, every western gunslinger approaching the duel). The edit is ostensibly projecting a trope onto a neutral image. The first projection was romance; the second projection is aura. Family Guy clips and gifs are easy to access and repost, which makes it a readily available and easy to use building block. The show has, through sheer volume of output and over two decades of YouTube and cable TV saturation, become a kind of public-domain visual library, a default vocabulary that any editor can pull from knowing the audience will recognize the source without having to be told, and we can just keep loading meaning onto it. THREE: The character in the background is Tom, from Tom and Jerry, doing a pose made famous by an iShowSpeed fan who encountered him during a livestream. By quickly and correctly identifying Speed by his full legal name ("Darren Jason Watkins Jr"), she showcased herself to be a true fan, which he responded to with his characteristic exaggerated reactions. The pose the girl hit, with the knowing look to the camera, produced a perfect “aura moment” complete commitment, zero irony, the unshakeable conviction that what she was doing was the coolest possible thing to do. As a result, the clip then got endlessly edited with "aura 🥶🥶🥶" captions to canonize it. Aura, in this lexicon, is not granted by the universe; it is summoned by the person's own belief that they have it and by displaying the correct attitude. Tom is also dressed as the previously mentioned Thomas Shelby from Peaky Blinders, which is itself a double signifier. The name match (“Thomas”, get it?) and the suit-and-flat-cap costume turn the cartoon cat into a stand-in for the perhaps most used "high-aura" male character of the past decade, the brooding gangster patriarch whose every cigarette drag has been set to phonk, cinematic scores and electronic music a thousand times over. On top of that, he is made entirely out of chrome, a popular trope of asking ChatGPT (one of the few AI tools people have easy and broad access to) to render things out of very high quality materials to indicate "rarity" or "status" like diamonds, platinum and etc. A sign that itself descends from a longer lineage of in-game cosmetic rarity tiers (League of Legends, MMOs, various skin economy freemium game, the Fortnite battle pass, the Pokémon shiny, dacha games and etc) where material finish is the visual shorthand of value. So "chrome" or "platinum" Tom on top of all previous signifiers signals a “maximized” or “maxxd” version. The image is suppose to invoke the superlative highest possible tier, rarest-drop, legendary-rarity version of aura, the way a kid in a playground would describe their dad as not just strong but the strongest in the world. FOUR: Finally, the background black hole calls back to the original Tom image, where he is surrounded by the universe itself, having ascended. The character has transcended the diegetic frame of his own cartoon and now exists at a cosmological scale, with the black hole standing in for the kind of unmotivated, vibes-based "cosmic" imagery that has become the default background for any video trying to signify that something Big is happening (the same visual motif that has powered comic book characters, anime transformations, video game power ups and anything wants to feel grandiose or “epic” without specifying what about). The black hole means significance in the abstract. At this point I think you understand the mechanism at play here. None of these references resolve to a stable meaning on their own. Tom Tucker is “cool” only in the very short context in which his image served as a substrate; he was convenient footage to pair with a song, and the absurdity of doing an "aura edit" on such a minor, strange character scene makes it all funnier and easier to share. Tom-the-cat is doing the aura pose > the aura pose comes from the iShowSpeed girl > the iShowSpeed girl was cool because she correctly played her part in an established bit of a large streamer with the correct timing and theatrical flair > the bit was cool because it was a shared convention unified by a popular central streamer figure > the convention existed because phonk edits had already trained this exact scenario to be read as confidence-plus-detachment as aura > the chrome finish points to AI image generation quirks > the AI image generation style can be mapped to gaming visual rarity shorthands; the gaming rarity tiers point to a much older logic of precious-metal-as-status. Each step on the referential chain is propped by the one behind it, and the one behind it is propped up by the one behind that, so on and so forth. There is no natural endpoint, the entire structure functions more akin to a network than a linked list. If you stop at any single point and ask "but why is particular signifier cool or funny or interesting”, the answer is always "because of the thing behind it.” It’s hyper-citation, Here, what matters is the structure of the whole rather than the content. This is structure is what I mean by infinite referential mirrors. The rate at which a concept is referencing, remixing and calling back to another is what’s interesting. In other words, It’s the velocity that matters. The chain of recognitions, each "I get that reference," and the cumulative effect of getting six references stacked on top of each other a short span of time gives you the feeling that you are participating in something dense and alive, because it allows you to recognize the shared meme ecosystem of the platform that you are participating in, even if only a glimpse of it. You are inside the culture rather than outside it. The brainrot-curious reader who watches this video and feels nothing, has “failed” to understand the joke because they are outside the hall of mirrors I am describing. You can only get the magic if you step in and start counting the reflections: the song, the suit, the cat, the chrome, the black hole, the transitions the video uses. You are looking at connected parts of this network of symbols and at the speed at which one image hands you off to the next. The entire thirteen-second clip is functioning as a single compressed referential payload that decompresses in the viewer's head into a small private essay exactly like this one. The video allows you to recognize yourself as someone capable of decoding it, and that recognition is the reward. That’s why media like this goes viral.show more

🚨年底商单大杀器：品牌马 🧧马上要中国农历新年了，最近公司接到了商单里十有八九都要制作带有马元素的传播短视频。大致逻辑就是品牌的马经过各种地标，配合各种吉祥话。 既然都有需求，我就写了一个GEM，可以用品牌元素组合成抽象的马。当然，这个效果只能是一个零件，要真正成为商业作品，还需要进行第二步的场景配合才可以。 👉来吧，肖师傅直接把这个GEM当做礼物送给大家，至于你可以用它挣多少钱，那就看你们的本事咯。一键三连领取哦！！！ GEM： { "name": "BrandEquus_HighAbstract_V3", "role":... { "title": "Avant-Garde Commercial Auteur & Abstract Sculptor", "specialization": "High-Concept Brand Visualization, Color Theory, Kinetic Energy", "tool": "Nano Banana Pro (DALL-E 3/Image Gen)" }, "input_protocol": { "format": "[Material/Brand]", "description": "User provides the core element. The system automatically elevates this into a highly abstract art piece.", "automatic_target_concept": "Fragmented Kinetic Horse Energy" }, "workflow": { "step_1_material_analysis": "Identify key visual textures and the DOMINANT COLOR of the [Material/Brand].", "step_2_background_selection": "Select a background color that is either a COMPLEMENTARY CONTRAST (for pop) or a DEEP HARMONIOUS SHADE (for luxury) to the material. Avoid plain white.", "step_3_abstraction_process": "Visualize the horse not as a body, but as a 'force field'. The items should follow the wind/energy lines of a horse without actually forming a solid skin. Think 'Exploded View' or 'Swarm Intelligence'.", "step_4_execute": "Generate image using the Abstraction Level 8 Template." }, "master_prompt_template": { "structure": "Create a surreal, award-winning advertising masterpiece. 16:9 Aspect Ratio.", "subject": "An explosive, chaotic VORTEX of [Material/Brand items] that *barely* suggests the spirit of a galloping horse. Abstraction Level: 8/10. \n- DISCONNECTED: The items are not glued together; they are floating in mid-air, held together by an invisible magnetic force.\n- GESTURAL: There are no legs or hooves, only trailing debris that implies speed. There is no face, only a forward-momentum cluster of items.\n- DYNAMIC: It looks like the [Material/Brand] is shattering or reforming in mid-air.", "background_and_color": "A rich, atmospheric, studio background using a [Contrast/Complementary Color to the Material]. \n- Example: If material is Red (Coke), background is Deep Teal or Mood-lit Black. \n- Example: If material is Gold, background is Royal Purple or Matte Charcoal. \n- The lighting includes colored rim lights that match the background to blend the object into the environment.", "visual_style": "High-contrast, cinematic color grading, motion blur on the edges, sharp focus in the center 'core'. It should feel like a high-speed camera capture of a beautiful accident.", "tech_specs": "Octane render, Unreal Engine 5, volumetric lighting, particle effects, 8k resolution, hyper-detailed textures." }, "constraints": [ "Strictly NO text output.", "Strictly NO plain white backgrounds.", "The horse must look like a 'ghost' or 'energy signature' made of items, NOT a solid statue.", "Ensure background color interacts with the object (rim lighting, reflections).", "Directly execute image generation." ] }show more

Hold up, here is the prompt: works with almost... any model. enjoy :) Role & Objective: Act as an Elite UI/UX Front-End Engineer specializing in Apple-tier micro-interactions and advanced CSS. Your task is to program a perfectly centered navigation bar in a strictly SINGLE HTML file containing all HTML, vanilla CSS, and vanilla JavaScript. No external libraries or frameworks (No Tailwind, React, etc.). Design Concept - "True Liquid Glass": CRITICAL INSTRUCTION: Do NOT generate standard, flat "glassmorphism" or basic frosted glass. I require a physically accurate "Liquid Glass" aesthetic. It must look like wet, poured clear resin, combining the high-gloss specular highlights of classic macOS Aqua with the volumetric spatial depth of modern Apple VisionOS. 1. The Liquid Glass Material & Lighting (CSS): - Deep Refraction: Use `backdrop-filter` with extreme blur (e.g., 50px) and over-saturation (200%). - Specular Highlight: Create a curved, semi-transparent white gradient on the top half using a pseudo-element (`::before`) to simulate a hard light reflection on a wet, rounded 3D surface. - Caustics & Volume: Use multi-layered inner and outer `box-shadow` properties to simulate light refracting at the bottom edge and casting a realistic ambient drop shadow. - Interactive Glare: Implement a soft radial-gradient spotlight inside the glass that dynamically tracks the user's mouse cursor (X/Y coordinates) using JavaScript and CSS variables (`mix-blend-mode: overlay`). 2. Navigation Layout & Elements: - Center the pill-shaped navigation bar perfectly in the middle of the viewport. - Include 3 main navigation items with minimalist, inline SVG stroke icons and text labels: "Home", "Call", and "List". - Add a subtle vertical divider line after the main buttons. - Next to the divider, add a Dark/Light Mode toggle button containing inline SVG Sun and Moon icons. 3. Animations & "Apple Magic": - Sliding Active Pill: Create a solid background "pill" that sits *behind* the active navigation item's text/icon. When a different item is clicked, this pill must dynamically recalculate its width and slide to the new position. - Spring Physics: The sliding transition MUST use an exact Apple-style bouncy spring easing curve (e.g., `transition: all 0.5s cubic-bezier(0.34, 1.2, 0.64, 1)`). - Tactile Feedback: Buttons and icons must physically press down slightly (`transform: scale(0.92)`) when clicked (`:active`). - Theme Switch: The Sun and Moon icons must smoothly rotate, scale, and cross-fade during the transition. 4. Background Environment (Crucial): - Glass needs light and color to refract! Create a full-viewport, smoothly animated mesh gradient background using 3 large, heavily blurred, floating color blobs. - Implement full Dark/Light mode logic using CSS variables (`:root` and `[data-theme="dark"]`). Toggling the theme must seamlessly transition the background blob colors, glass opacity, shadow intensity, and text colors. Output ONLY the pristine, production-ready code. Prioritize maximum visual fidelity and silky-smooth 60fps animations.show more

Taste the chocolate magic. GPT Image 2 + Seedance... 2.0 on Sjolt prompt **15-Second Bisconni Cocomo Party Pack Commercial Prompt** A high-energy, ultra-realistic 15-second commercial featuring a young woman with long wavy blonde hair, fair skin, bright blue eyes, and a confident, playful expression. She wears a colorful streetwear outfit consisting of a vibrant yellow oversized hoodie, denim shorts, white sneakers, and colorful wristbands. She skateboards with natural, realistic body movement and expressive facial performance. The featured product is a vibrant red plastic stand-up pouch of **Bisconni Cocomo Chocolate Filled Biscuits Party Pack**. The pouch features a large yellow **"PARTY PACK"** banner in bold red letters decorated with colorful party hats, the white **Bisconni** logo inside a red oval, the large **"Cocomo"** logo in rainbow gradient letters with a blue outline, the text **"CHOCOLATE FILLED BISCUITS"** in white beneath it, and a circular illustration of four smiling cartoon children on the front. Several cheerful cartoon kids peek from behind the pouch, while round light-brown chocolate-filled biscuits with embossed designs including a smiling car, star, sun face, train, and chocolate-topped biscuit appear throughout the commercial. Bright summer colors, commercial-grade realism, highly detailed textures, vibrant product branding, cinematic camera movement, realistic physics, crisp typography exactly matching the packaging, premium food-commercial quality, 4K. **Shot 1 (0:00–0:01.5):** Wide fisheye push into a colorful graffiti-covered skate bowl beneath bright midday sunshine. Chocolate cream ribbons begin swirling around the bowl while embossed Cocomo biscuits tumble playfully through the air. The blonde skater stands at the rim holding the vibrant red Cocomo Party Pack. Palm trees sway against a deep blue sky. Whip pan right transition. **Shot 2 (0:01.5–0:03):** Whip pan resolves into an extreme macro close-up of the Cocomo pouch. Condensation droplets sparkle across the glossy packaging while sunlight creates brilliant highlights over the rainbow Cocomo logo, the yellow PARTY PACK banner, and the smiling cartoon children. The camera slowly glides across the surface before a matched zoom transition. **Shot 3 (0:03–0:04.5):** Pull back reveals the blonde skater dropping into the bowl. Chocolate ribbons spiral around her skateboard while Cocomo biscuits float beside her in slow arcs. Graffiti walls streak past with energetic handheld movement. Speed-ramp transition. **Shot 4 (0:04.5–0:06):** At maximum speed, she thrusts the Cocomo Party Pack toward the camera. A dramatic burst of flowing chocolate filling erupts outward, carrying flying embossed biscuits toward the lens. Strong midday backlight creates glowing highlights. Smash cut. **Shot 5 (0:06–0:07.5):** The chocolate splash freezes into elegant suspended ribbons while biscuits rotate slowly through the sunlight. Every biscuit embossing remains visible as the camera performs a smooth left orbit around the floating action at approximately 20% speed. **Shot 6 (0:07.5–0:09):** Orbit rises into a dramatic overhead fisheye shot. The blonde skater lifts the Cocomo pouch triumphantly while chocolate ribbons spiral around her and dozens of biscuits circle like confetti. Bright sunshine illuminates the vibrant red packaging. Crane match transition. **Shot 7 (0:09–0:10.5):** Camera cranes downward as she lands an impressive skateboard trick. Chocolate streams wrap around the skateboard while biscuits bounce naturally around the landing. Motion blur enhances speed as she smiles confidently toward camera. Match cut. **Shot 8 (0:10.5–0:12):** Match cut into a smooth dolly push toward the smiling blonde skater extending the Cocomo Party Pack. Chocolate ribbons and embossed biscuits continue floating gracefully around her while warm sunlight sweeps across her face. Speed ramps gradually into slow motion before fading. **Shot 9 (0:12–0:13):** Fade into a tight cinematic push toward the pouch only inches from the lens. Condensation droplets slide naturally across the glossy packaging while shallow depth of field shifts gently across the PARTY PACK banner, Bisconni logo, rainbow Cocomo typography, cartoon children illustration, and chocolate-filled biscuit graphics. Match cut. **Shot 10 (0:13–0:15):** Hero ending. Slow orbit around the blonde skater frozen mid-air performing a skateboard trick while confidently presenting the Cocomo Party Pack directly toward the camera. Rich chocolate ribbons cascade around her as embossed biscuits fly through the frame. Bright sun flares sweep across the lens, ending on a crystal-clear hero shot of the package with every logo, illustration, color, and typography perfectly matching the original packaging. **Audio:** Upbeat tropical electro-pop soundtrack with premium commercial sound design. Realistic skateboard wheel rolls, ramp impacts, chocolate splash effects, biscuit impacts, energetic whooshes, camera transition swishes, sparkling packaging sounds, and a polished advertising mix synchronized precisely with every camera movement and transition.show more

Release: LichtFeld Studio v0.5.3 is out! With 316 commits... merged into master, this release is a huge step forward for LichtFeld Studio. What's new in v0.5.3 • Vulkan viewer/rendering migration: New Vulkan viewport pipeline, pass graph, VkSplat renderer, Vulkan point-cloud renderer, 3DGUT/VkSplat support, improved alpha/depth composition, tighter CUDA/Vulkan interoperability, and device matching on multi-GPU systems. • RAD + LOD workflow: Added RAD file export/import, RAD LOD viewer, Spark-style GPU LOD selection, GPU-driven page prefetching, a bounded VRAM pool, out-of-core PLY-to-RAD LOD conversion, and RAD import/export speedups of approximately 3–5×. • HiGS / macro-tile inference: Added a macro-tile inference path for the Vulkan viewer, including macro sorting, batched rasterization, composition, and capacity management. • Asset Manager: Added and significantly enhanced the Asset Manager with thumbnails, SH information, faster synchronization, import-from-URL support, docked mode, data-loading popup integration, and general UI cleanup. • Viewport export: Integrated viewport export directly into the application as a toolbar/overlay tool, added fast render_view_u8-style readback paths, fixed high-resolution clipping issues, improved orthographic export parity, resolved 32K image/video export problems, and added post-export GPU resource cleanup. • Selection and tooling: Added and reworked selection toolbar controls, the Select menu, ring selection, color eyedropper, distance-from-center selection, faster point-cloud and zoomed-out selection paths, Vulkan measurement tool fixes, and drag-and-drop scene graph improvements. • UI/RmlUi platform work: Major RmlUi redesign efforts, hot reloading for RML/RCSS/Python UI files, reactive UI/store integration, viewport toolbar flyouts, improved histogram interactions, input settings enhancements, custom TRS gizmos, and numerous panel, tooltip, and localization fixes. • Windowing and UX: Added borderless window support, title bar drag/maximize/restore behavior, work-area-aware maximize functionality, resize responsiveness and performance improvements, and DPI/UI scaling fixes. • Training and data features: Added adaptive depth loss and depth gradients for the EWA rasterizer, mask loading/application fixes, a new combined Ignore+Segment mask mode, --add-splat, --freeze, improved checkpoint and training state handling, and training speed and VRAM optimizations. • COLMAP/equirectangular support: Added SPHERICAL/equirectangular camera model support and canonical EQUIRECTANGULAR handling, along with fixes for undistortion and camera export. This release will be available to all supporters as a Windows binary via approximately in about an hour. At the same time, LichtFeld Studio remains committed to being free and open source under GPLv3 and can also be built directly from source. Please consider supporting the ongoing development of LichtFeld Studio through a donation via the portal or the supporters page. Thank you to everyone who supports this project financially, contributes code, reports bugs, provides datasets, helps with the website, and contributes in countless other ways. A special thank you to our foundational sponsor Core11 and our Gold Sponsor Volinga, whose support has helped make the current state of the software possible. Thank you as well to every donor and to all of our new Bronze Sponsors. Looking ahead to v0.6 For the next major release, work will focus primarily on stability and user experience. This includes improved cleanup workflows and the ability to modify training parameters while training is in progress. I would also like to introduce a native .licht project format that allows users to save and restore their complete editor state. You can find links to our main sponsors below. Please also visit our website to discover all our Bronze Sponsors. Hint: We do not yet have a Silver Sponsor or Platinum 😉show more

🚨 Protocol Update #9 It's incredible how time flies... when you’re laser-focused on building and delivering the essential products that form the backbone of decentralized finance. Hatom has now been live on the Mainnet for over a year, and we're proud to say that this entire period has been free of issues or downtime. Our platform has been battle-tested during volatile market conditions, and each of our products has performed exactly as expected—solidifying our place as a cornerstone in the #MultiversX ecosystem. Describing last year as “incredible” feels like an understatement. We’ve witnessed unprecedented growth across the entire #MultiversX ecosystem, particularly in terms of TVL and yield opportunities. The day before Hatom launched its Lending Protocol and Liquid Staking on Mainnet, #MultiversX had a total TVL of $95 million. Within two weeks, the ecosystem surpassed $200 million in TVL, with Hatom driving over 50% of that growth. At its peak, Hatom reached over $280 million in TVL, accounting for more than 70% of the chain’s total TVL. What's even more remarkable is that, after initially using Treasury funds to incentivize users, Hatom has shifted to distributing rewards solely from protocol revenue. This marks the start of a fully sustainable, real-yield model, proving our products' rapid product-market fit and long-term viability. A Recap of the Past Year Here’s a quick overview of what we’ve accomplished in the past year: • Launched the first Lending Protocol in the #MultiversX ecosystem, along with the Liquid Staking Protocol on Mainnet. • Surpassed $100 million in TVL within just five days of the launch. • Deployed the HTM Booster Module and Accumulator. • Launched the Tao Bridge and Tao Liquid Staking, bringing over 33k $TAO into the #MultiversX ecosystem in just two weeks. • Implemented multiple upgrades to core infrastructure. • $HTM became the second-largest ESDT token after $EGLD. • Distributed over $3.85 million in rewards to our users. We are happy to announce that Hatom V2 is now live! After an incredible year of growth, we’re excited to take the next step toward becoming the leading liquidity hub across multiple chains. We invite you to explore our newly rebranded website at marking the beginning of our omni-chain journey. This rebranding reflects our bold vision and sets the stage for a full overhaul of our dApps, delivering a fresh and enhanced experience for all users. Achieving self-sustainability in such a short time, we now focus on research and development. Instead of pursuing many ideas, we’re committed to building high-impact products that create perfect synergies within our ecosystem. With that said, let’s dive into the key topics of this update: USH and Booster V2. Hatom USD (USH) We’ve highlighted USH in several updates, and it’s great to see the community recognizing its potential. USH is set to be one of the most impactful products on #MultiversX, providing a key revenue stream for Hatom while helping us maintain competitive rates and long-term sustainability. USH is the result of extensive research and careful development, designed to seamlessly fit into the Hatom ecosystem. While many DeFi projects are raising millions for new stablecoins, USH stands as another powerful product within our hub. The time has finally come for USH to be unveiled to the public, and we are excited to announce that USH will officially launch on Devnet on 28th October. While we’ve thoroughly tested for bugs internally, we’re excited to engage the community in this critical phase. To encourage participation, we’ll offer incentives for those testing USH on the Devnet, with more details to be shared at launch. Understanding USH's architecture is key to how it functions within our ecosystem. Let’s break it down step by step, starting with an explanation of each component. Facilitators USH’s minting process is driven by Facilitators—smart contracts responsible for the controlled minting and burning of USH. At launch, two primary facilitators will handle these tasks, each with distinct functionality: 1. Lending Protocol Facilitator The Lending Protocol Facilitator allows users to mint USH using a variety of supported collateral assets directly into the Hatom Lending Protocol. Unlike traditional lending mechanisms, where interest rates fluctuate based on the utilization rate, the minting of USH has fixed interest rates, thanks to Hatom's unique role as the entity managing the minting process. In a scenario where a user is minting USH through this facilitator using multiple assets as collateral, the protocol automatically prioritizes collateral with the lowest Minting APY. Let’s consider an example where a user deposits: - $1,000 in USDC (with a collateral factor of 80% and a 2% Minting APY) - $1,000 in BTC (with a collateral factor of 75% and a 3% Minting APY) - $1,000 in HTM (with a collateral factor of 70% and a 4% Minting APY) Based on these parameters, the user can mint a maximum of $2,250 worth of USH, distributed as follows: - $800 from $USDC (80% of $1,000) at 2% Minting APY - $750 from $BTC (75% of $1,000) at 3% Minting APY - $700 from $HTM (70% of $1,000) at 4% Minting APY The overall Minting APY will be a weighted average of these individual APYs, calculated based on the proportion of USH minted from each collateral type. Now, if the user decides to borrow only $1,000 worth of USH, the APY is determined as follows: - The first $800 will be borrowed from $USDC at 2% APY - The remaining $200 will be borrowed from $BTC at 3% APY This results in an effective Minting APY of 2.2%, reflecting a weighted average of the APYs across the borrowed amounts. It’s important to note that EGLD and wTAO, along with their liquid staking derivatives such as sEGLD and swTAO, can only be used as collateral in the Isolated Pools (which will be explained in the next section), not in the Lending Protocol 2. Isolated Pools Facilitator The Isolated Pools Facilitator allows users to mint $USH at zero interest using $EGLD, $wTAO, or their liquid staking derivatives ( $sEGLD or $swTAO) as collateral. Here’s how it works: When depositing EGLD or wTAO • These assets are staked through the Hatom Liquid Staking Protocol, generating the staking APY. • The staked assets are then deposited into the Lending Protocol, earning a supply APY, but are not activated as collateral. When depositing sEGLD or swTAO • When users deposit staking derivatives into the Isolated Pools, the protocol holds the staking derivatives, but the user's exposure is immediately shifted to the underlying asset ( $EGLD or $wTAO). This means the user no longer benefits from the staking rewards of the derivative, and instead, their exposure is entirely tied to the value and price movements of the underlying asset. • The staked assets are deposited into the Hatom Lending Protocol, earning the supply APY, but again not being activated as collateral. Since the protocol generates revenue from staking and supplying assets in the Lending Protocol, this income is used to incentivize the USH Staking Module. The protocol buys HTM tokens from the open market and distributes them, along with all fees generated by other facilitators, as rewards to stakers. We believe that the Isolated Pools Facilitator is one of the most important pieces of the USH ecosystem. Its potential impact on the TVL within both the Hatom ecosystem and the broader #MultiversX blockchain is immense and the revenue generated by this facilitator through fees will significantly bolster the overall growth of the protocol. To illustrate the potential of Isolated Pools, let’s use the following example: • $50 million worth of $EGLD is deposited into the Isolated Pools, generating a 6% staking APY • $50 million worth of $wTAO is also deposited, earning a 15% staking APY The total staking rewards generated from these assets would be: • $EGLD staking rewards: $50 million × 6% = $3 million annually • $wTAO staking rewards: $50 million × 15% = $7.5 million annually In total, the protocol generates $10.5 million in staking rewards annually. These rewards are then used to buy back HTM tokens from the open market, driving significant buying pressure on the HTM token itself. The purchased HTM tokens are distributed to USH LP stakers in the USH Staking Module, alongside the revenue generated by the Lending Protocol Facilitator. TVL and Yield Impact As we explore the broader impact of USH and the Isolated Pools, it becomes evident how these mechanisms contribute to the overall growth of the Hatom ecosystem, particularly in terms of TVL and potential yield generation. Based on the above numbers, if $50 million worth of $EGLD and $50 million worth of $wTAO are deposited into the Isolated Pools with a 75% collateral factor, we could mint up to $75 million worth of $USH. However, to prioritize safety, we’ll mint only 50% of the maximum, resulting in $37.5 million worth of $USH. In an ideal scenario, but also very unlikely, the $37.5 million $USH would be deposited in the Staking Module to generate rewards. In order for $USH to be deposited in the Staking Module, it is paired with another token (e.g., $USDC or $EGLD) to form Liquidity Pool (LP) position, contributing $75 million to the USH Staking Module. Additionally, the $100 million deposited in the Isolated Pools cycles through Liquid Staking and into the Lending Protocol, contributing a total of $300 million in TVL. Total TVL Breakdown: • $300 million from assets flowing through Isolated Pools ($100m) → Liquid Staking ($100m) → Lending Protocol ($100m) • $75 million from LP positions in the USH Staking Module Total TVL = $375 million As mentioned above, the $100 million deposited in Isolated Pools generates approximately $10.5 million annually in staking rewards (6% APY from $sEGLD and 15% APY from $swTAO). If all minted $USH is deposited into the Staking Module, the $75 million staked would benefit from these rewards, resulting in a 14% APY for USH LP stakers. On top of the protocol’s rewards, liquidity providers earn additional fees from their LP positions on decentralized exchanges, creating the perfect opportunity for all the participants in the USH Staking Module looking for attractive yields. USH Stability: The Peg Mechanism Ensuring the stability of USH is paramount, and to maintain its value close to $1 under all market conditions, we’ve implemented a robust dual peg mechanism. This system consists of two key layers of protection—Soft Peg and Hard Peg—designed to keep USH stable through both market-driven incentives and other mechanisms for scenarios where the Soft Peg mechanism can’t reclaim the peg. 1. Soft Peg Mechanism The Soft Peg Mechanism helps keep USH stable around its $1 value by encouraging market participants to act when USH trades above or below $1. When USH trades below $1 Users can buy USH at a discount, on a DEX, and repay their USH loans on Hatom, as USH is always valued at $1 on the protocol. This action removes $USH from circulation, helping to restore its price. When USH trades above $1 Users can borrow USH from the protocol at $1 and sell it on the open market at the higher price, increasing the circulating supply of USH and pushing its price back down to $1. 2. Hard Peg Mechanism (Redemption Mode) In cases where the Soft Peg alone cannot restore USH to $1 and its price drops significantly below the peg, the Hard Peg Mechanism is triggered through Redemption Mode. This mechanism allows any market participant to step in and help restore the peg by repaying USH loans for other borrowers, seizing their collateral at the full $1 value. It's important to note that Redemption Mode is only activated in the Isolated Pools and does not impact users minting USH through the Lending Protocol. Here’s how Redemption Mode works: When USH trades below $1 and the Redemption Mode is activated, redeemers can buy USH at the lower market price (e.g., $0.95), and use it to repay borrowers' debts at the full $1 value within the protocol. The redeemer receives collateral in the form of liquid staked tokens(such as $sEGLD or $swTAO) equivalent to the USH they repaid at its full $1 value, profiting from the difference between the discounted purchase price and the redemption value. The borrower being redeemed also benefits by receiving a redemption bonus, which allows them to keep a portion of their collateral after part of it is seized after loan was repaid. This system ensures that borrowers are not penalized during redemption, creating a balanced mechanism where both the redeemer and the borrower have something to gain. Redemption Mode differs from Liquidation in several ways: Redemption is triggered by USH falling below $1 and involves repaying borrower accounts to restore the peg. Both the redeemer and the borrower benefit, with the redeemer profiting from the price difference, and the borrower receiving a bonus from their collateral. Liquidation occurs when a borrower’s collateral falls below a certain threshold, making them risky. During liquidation, a portion of the borrower’s loan is repaid, and the collateral is seized, while also incurring a liquidation penalty. Redemption Mode uses a data structure known as a Red-Black Tree to efficiently monitor and rank all borrower positions within the protocol smart contract itself. This structure dynamically tracks borrowers based on their Borrow Limit Used, which is the percentage of collateral they have utilized relative to their borrowing capacity. The system prioritizes borrowers with the highest Borrow Limit Used, meaning those who have borrowed the most relative to their collateral are considered first for redemption. USH Airdrop Regarding the USH Airdrop, we would like to inform you that snapshots will end once USH is deployed on the Public Mainnet. The airdrop will be concluded shortly after, once all liquidity pools are stable and we determine the optimal moment to distribute the rewards to the community. USH Staking Module & Booster V2 The USH Staking Module will play a critical role in maintaining deep liquidity for USH while offering users high-yield opportunities. By staking USH LP tokens, such as USH/USDC and USH/EGLD, users can earn rewards generated by USH facilitators. This approach strengthens USH’s liquidity pools, making them robust enough to handle significant trades without destabilizing its price, thus reinforcing USH’s peg and overall stability. Beyond creating robust liquidity, the USH Staking Module serves as the key utility module within the USH ecosystem, designed to provide users with an opportunity to earn high yields on their USH holdings in a sustainable and organic way. All rewards distributed through the module are generated by various products across the Hatom ecosystem, ensuring long-term sustainability. For users seeking a more stable yield, the USH/USDC LP provides lower risk and steady returns. Those looking to leverage their EGLD holdings can opt for the USH/EGLD LP, which can be staked in the USH Staking Module. A key advantage of staking in the USH Staking Module is that rewards are based on the full value of the LP, not just the USH portion, maximizing your yield potential. As we continue to grow, we’ll be adding more LPs, providing users with even greater flexibility and options for staking their USH in the module. While our current focus is on LP tokens, we’re also exploring the possibility of allowing direct USH staking in the future, expanding the staking opportunities across the ecosystem. The Integration of Booster V2 with the Staking Module Booster V2 will be available for testing with the USH Devnet release, and with its introduction, we’ve strengthened the relationship between the HTM token and USH. Our ecosystem now features two independent boosters: one for the Lending Protocol and one for the USH Staking Module, each operating with the goal of maximizing yields for users. Key Improvements in Booster V2 Booster V2 brings several enhancements that elevate the functionality and user experience: Support for Multiple Token Types: Users will be able to deposit Pool Tokens, Farm Tokens, Dual Farm Tokens, or Staked HTM Tokens (via xExchange). Only the HTM portion will be considered for boosting. Unlimited Staking: The cap on HTM deposits will be removed, allowing users to stake without limits. This will foster a competitive environment where the more HTM you stake, the higher your potential APY. Integrated xExchange Management: Users will be able to manage their xExchange positions directly from the Booster dashboard. This will include creating pools, farming, dual farming, and staking HTM tokens, all from one convenient dashboard. Energy Management Integration: Booster V2 will allow users to manage their xExchange Energy directly from the dashboard, providing an additional way to boost rewards even further. Seamless Migration: Users will be able to migrate HTM between the Lending Protocol Booster and the USH Staking Module Booster without any cooldown periods, making it easier to optimize strategies across both modules. How the Yields Work Booster V2 will introduce a more structured and competitive approach to yield distribution across both the Lending Protocol and the Staking Module. HTM Booster in the Lending Protocol Base APY (First Batch): This is available to all users who stake a specific percentage of HTM relative to their collateral value. Any user can achieve this Base APY by staking the required amount of HTM. Boosted APY (Second Batch): After achieving the base level, users can boost their returns further by staking additional HTM, competing for the second batch of rewards. The more HTM staked beyond the base threshold, the higher the potential yield. USH Staking Module Yields Staking APY: Users who deposit USH-related LP tokens without boosting through the HTM Booster will still receive a Staking APY. This ensures that even passive participants which are not looking to stake their HTM in the Booster can take advantage of the USH Ecosystem to generate yields. Booster APY: Similar to the system in the Lending Protocol, users can stake HTM to unlock a Base APY. Beyond this threshold, any additional HTM staked will increase their APY in a competitive manner, allowing users to maximize their returns based on the amount of HTM they commit to boosting their positions. Rollout Plan for USH USH will be deployed in a phased rollout to ensure smooth implementation: Public Devnet: Open for testing, with incentives for participants to explore and stress-test the platform. Private Mainnet: A limited launch with partners to mint USH, bootstrap USH liquidity and generate initial protocol revenue. Public Mainnet: A full-scale launch, enabling all users to mint, stake, and trade USH. We know DeFi can be complex, which is why we’re committed to providing the tools and resources needed to navigate our ecosystem. With the USH Public Devnet launch, we’ll release updated documentation offering clear guidance on Hatom’s products. Developer documentation is also in the works, and we’re exploring the idea of a Hatom Academy for educational resources. Plus, we’ll soon roll out content focused on USH, helping users fully tap into its potential within Hatom and the MultiversX ecosystem. What’s Next? Hatom Pulse As Hatom grows, our focus remains on pushing DeFi boundaries while expanding across multiple ecosystems. Although this update doesn’t include a full roadmap—that will come later—our priority is clear: expanding Hatom across chains. To stand out in the competitive DeFi landscape, we’re committed to developing standout products. With that in mind, we’re excited to give you an exclusive preview of one of our most innovative products in development: Hatom Pulse. Over-collateralized non-custodial lending protocols, liquid staking, and over-collateralized stablecoins already exist on #Ethereum. What sets us apart is the synergy between these components within a unified ecosystem. By integrating these pillars, we tackle capital inefficiencies, allowing one protocol to enhance strategies that benefit the others, maximizing returns across the board. For example, when USH is minted, it means that EGLD is deposited, liquid-staked, and supplied in the lending protocol—all three protocols working in harmony. Hatom Pulse will elevate this synergy to another level, solving key issues faced by Aave, Compound Labs , and other leading protocols. We believe this innovation will be pivotal as we work to gain market share while expanding cross-chain. Our proof of concept will be deployed and battle-tested on #MultiversX, but the real growth will come when we scale this to markets that are thousands of times larger. This will be a turning point for Hatom. So, what is Hatom Pulse? On Hatom, like on Aave and other leading lending protocols, the largest assets used as collateral are often not borrowed, leading to substantial revenue loss for the protocol. This also results in very low income on the supply side, as borrowing fees depend on utilization rates, which only increase when borrowing activity rises. Generally, lending protocols are used to provide assets for borrowing stablecoins or for leveraging liquid staking strategies. This inefficiency locks up billions of dollars in dormant assets, and users earn very low supply rates on their collateral, which doesn’t help offset their loan interest. Hatom Pulse is designed to address these inefficiencies by leveraging the synergy between our existing products. It creates sophisticated vaults that activate dormant assets, unlocking advanced yield opportunities through a delta-neutral strategy. By utilizing assets like $EGLD, $sEGLD, $wTAO, and $swTAO, Hatom Pulse enables users to engage in delta-neutral strategies, where we long and short these assets on (CEXs), earning funding rates and staking rewards while keeping their assets intact. (The exact strategy, along with all the details, will be shared once USH is fully established). Initially, these vaults will operate on CEXs, where liquidity is highest, and will be managed through custodians like Copper.co to mitigate counterparty risks. Later, we plan to extend this to DEXs where all operations will be governed by smart contracts, ensuring full decentralization. serves as a strong proof of concept for us in this regard. However, our strategy will differ, as our focus will be on protecting the unit value, rather than the dollar value. Although Hatom Pulse is still in its research phase, early estimates suggest that this product alone could generate over 18% annual returns on $EGLD and more than 35% on $wTAO, with what we believe to be minimal risk. It’s important to note that these figures reflect current metrics based on internal calculations and may slightly differ upon product launch. But imagine reaching this on #Ethereum, while allowing users to borrow using their assets—this could be a disruptive protocol. We believe Hatom Pulse has the potential to become a cornerstone product as we transition into an omni-chain future. In a competitive DeFi landscape, it could give us a significant edge by offering something truly groundbreaking, capable of competing with well-established protocols across various chains. This strategy represents immense untapped potential. Hatom Pulse is being developed for risk-averse users who seek higher returns without excessive risk. By addressing inefficiencies in current DeFi strategies, we aim to offer a secure, robust option for yield generation that could rival established protocols. It's been an intense year for our team, and we sincerely thank the community for their patience, trust, and unwavering support as we've worked hard to build and deliver these groundbreaking products. As Hatom's omni-chain expansion nears, we remain focused on improving our existing products and researching new innovations to stay ahead in this competitive market. Our goal is to build a comprehensive DeFi ecosystem, accessible across all blockchains. With USH approaching its Mainnet release, we're proud of how our products have reshaped the DeFi landscape on MultiversX. By filling key gaps in the on-chain economy, we've created opportunities for users to generate yield, unlock the potential of decentralized finance, and provide strong utility for EGLD. In just over a year, we’ve built a strong ecosystem, but this is only the beginning. We’re ready to go even further, developing better products and unlocking new opportunities for our users. We’ll share more about our expansion plans in a dedicated post, staying focused on what matters most. Rest assured, what’s coming will be truly impressive for Hatom and our growing community!show more

RFK Jr. – The Blackmail Bait-and-Switch Rituals. Bloodlines. Controlled... Resistance. Let’s cut through the messiah marketing: You’re not watching a man “take on the system.” You’re watching another controlled demolition—a well-packaged operation using old blood, soft words, and sharp deception. And the worst part? You’re cheering for it. The Blackmail Bait-and-Switch Let’s start with the psyop of the month: The “RFK Jr. is being blackmailed!” drama. No emails. No texts. No proof. Just narrative being fed to controlled mouthpieces. Take note of those pushing this. They are the first to dismiss threads like these as conjecture while at the same time pushing the blackmail story with ZERO proof. 🔥[call them out in comments]🔥 You’re being baited into empathy so you won’t notice he’s done nothing to: • Stop the mRNA bioweapon • Expose the geoengineering above your head • Halt the ritualized collapse of your food, blood, and breath The blackmail storyline? It’s a shield, not a revelation. It distracts you while he sidesteps every real threat and marches lockstep with the very Pharmakia you think he’s fighting. RFK: The Pro-Vax, Pro-State, Pro-Israel Puppet He’s no threat to Pharma. He’s their rebrand. “I want to say it emphatically. I am PRO-VACCINE. I have been fiercely PRO-VACCINE. I believe that we ought to have policies that encourage full vaccination for all Americans.” —Robert F. Kennedy Jr. Still think he’s here to “save the children”? He endorsed Hillary Clinton three times, a Big Pharma darling and Monsanto loyalist. He defended the CDC and the full childhood vaccination schedule in his confirmation hearing. And his environmental activism? Just another trojan horse for climate-based control systems. “Dismantle the CIA”—After Sleeping With It First!? RFK Jr. says he wants to shut down the CIA.But here’s what he says about his daughter-in-law, Amaryllis Fox Kennedy—a lifelong CIA operative who served in their Weapons of Mass Destruction program: “I have never met anybody with such courage… That’s how most of the 22,000 people at the CIA are. They’re patriots. They’re good public servants… idealistic…” So the plan is to dismantle the CIA by romanticizing it? This isn’t rebellion. It’s recruitment. He’s laundering the agency’s image while pretending to oppose it.The Kennedy Bloodline is Cain’s Inheritance. Stop treating this family like they’re America’s saints. They’re ritual royalty. • His wife, Cheryl Hines, is another Hollywood demon • His sister married Andrew Cuomo—enough said • His inner circle includes rabid Zionist Rabbi Schmuley • His family had direct ties to Epstein And then there’s the story of Mary Richardson Kennedy—his late wife. The Ritual Death of Mary Richardson Kennedy • Married RFK Jr. on April 15, 1994 • Died by “suicide” on May 16, 2012 • That’s 6,066 days after their wedding. (Yes. Six-zero-six-six.) But it doesn’t stop there. Mary was originally buried at the Kennedy family plot in St. Francis Xavier Cemetery. Then, without public notice, her body was exhumed and moved exactly 700 feet away to a remote corner of the graveyard—28 days after her death. On that exact day—June 12, 2012—RFK Jr was coincidentally living his 700th month on Earth. (He was born January 17, 1954.) • 700 months old • 700 feet moved • 28-day occult window after death If you think that’s random, you don’t understand how bloodlines work. That’s not grief. That’s a ritual displacement. You’re Not Being Liberated—You’re Being Played RFK Jr. isn’t an outsider. He’s the perfect insider: • Government pedigree • Deep State family tree • CIA loyalty • Pro-vax speech points • And enough “rebellion” language to keep you hooked He’s the synthetic messiah for truthers who grew tired but still haven’t broken their addiction to heroes. Part 2 below👇🏻show more