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✂️ 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 reply

121,339 Aufrufe • vor 1 Jahr •via X (Twitter)

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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)

Peter Flaherty III

26,757 Aufrufe • vor 1 Jahr

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. (

🔥Sir Escanor (𝘏𝘰𝘱𝘪𝘶𝘮 𝘚𝘭𝘢𝘺𝘦𝘳)🔥

35,817 Aufrufe • vor 5 Monaten

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👇

gus

100,376 Aufrufe • vor 1 Monat

How cinematic can pure motorcycle speed actually become on-screen? GPT Image 2 + Seedance 2.0 on Fish Creative prompt Create an explosive, high-speed motorcycle action sequence in 16:9, 24fps, exactly 16 distinct cuts, total runtime ≈ 16–17 seconds. A lone rider in a light green helmet and dark riding gear pilots a babypink sportbike along a narrow, winding paved mountain road that cuts through rolling green hills under a brilliant sunny sky with scattered white clouds and distant blue mountain ranges and water visible on the horizon. Preserve the exact bike color, rider silhouette, road markings, green landscape, fencing and lighting throughout — never redesign them. This film is 90 % pure kinetic camera motion and 10 % environmental beauty: aggressive low-to-high tracking shots, continuous forward motion with heavy speed blur, whip pans, snap zooms, sun flares and impact shakes. No text, no graphics, no logos — pure cinematic speed. ### CUT LIST CUT 01 | 0.00–1.00s Dynamic low-side tracking shot: red motorcycle accelerates away from a small parking area onto the winding asphalt road; lush green grass and fence posts streak past with heavy motion blur; bright sun flares at the top of the frame. **CUT 02 | 1.00–2.00s** Camera rises and locks behind the rider as the bike climbs the first gentle incline; green hills roll on both sides, a lone tree appears ahead, distant mountains and water visible on the right. **CUT 03 | 2.00–3.00s** Tight rear tracking; rider leans into a smooth left curve; the road surface and white dashed lines blur heavily; sun remains high and intense. **CUT 04 | 3.00–4.00s** Bike powers up a steeper section of road; camera stays low and centered, grass and fence posts racing past on both sides; distant valley opens on the right. **CUT 05 | 4.00–5.00s** High-speed straight section; camera drops even lower, almost road-level, capturing the red bike centered against the climbing green hillside and bright blue sky. **CUT 06 | 5.00–6.00s** Rider continues the climb; camera rises slightly and banks with the road; lush green slopes fill the left and right frame edges with strong motion blur. **CUT 07 | 6.00–7.00s** Bike approaches a crest; camera pulls back a fraction to reveal more of the endless green hills and the road stretching ahead under the bright sun. **CUT 08 | 7.00–8.00s** Rider leans into the next curve; camera swings wide then snaps back, capturing the red bike against the steep green embankment and metal guardrail. **CUT 09 | 8.00–9.00s** Tight following shot as the motorcycle accelerates past the guardrail; heavy speed blur on the grass and road surface; sun flare intensifies. **CUT 10 | 9.00–10.00s** Camera tilts upward dramatically, almost looking straight up the road; the red bike becomes smaller against the vast blue sky and white clouds while still racing forward. **CUT 11 | 10.00–11.00s** Sweeping aerial-style arc as the bike enters a wide left-hand hairpin; camera orbits slightly, revealing the full curve of the road, green slopes and distant mountains. **CUT 12 | 11.00–12.00s** High-angle tracking shot looking down on the red motorcycle as it carves the long sweeping curve; the road and guardrail form a perfect arc against the green hillside. **CUT 13 | 12.00–13.00s** Camera pulls higher still, showing the bike as a small red shape on the winding road that snakes across the vast green landscape toward distant valleys and peaks. **CUT 14 | 13.00–14.00s** Rider continues through the open hillside section; camera descends slightly and tracks from a higher three-quarter rear angle, capturing the bike, road and rolling green terrain. **CUT 15 | 14.00–15.00s** Wide high-angle shot of the motorcycle navigating the next gentle S-curve; a second distant vehicle appears briefly on the road ahead; lush green fields and scattered trees fill the frame. **CUT 16 | 15.00–16.65s Final high-speed tracking shot as the red bike continues along the open mountain road; camera gradually rises and the frame fills with bright green hills, blue sky and soft sun flare; the sequence ends on a sense of endless forward motion. ### Editing & Sound Extremely aggressive rhythm — continuous forward tracking with occasional whip pans, snap zooms and speed ramps, heavy motion blur on every surface, strong sun flares and subtle impact shakes on every crest or curve. No text, no graphics, no slow-motion. BGM / Audio: electronic / indie-pop beat with driving drums, bright synths and rising energy that matches the speed of the bike. Engine roar, wind whooshes and tire sound on asphalt are locked to the picture as rhythmic elements. Peak energy in the middle curves and end with a bright, open sonic release. Premium AAA quality, photorealistic cinematic rendering, pure speed and freedom aesthetic, consistent red sportbike and rider design, exactly 16 cuts.

Sharon Riley

38,048 Aufrufe • vor 8 Tagen

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:

Siqi Chen

209,022 Aufrufe • vor 7 Monaten

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.

Mufasa

41,947 Aufrufe • vor 1 Monat

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.

Pleometric

69,255 Aufrufe • vor 3 Monaten

THAT $70 "RUN YOUR OWN LLMS" PI KIT CAN'T RUN A SINGLE LLM. IT'S A VISION CHIP WITH NO RAM. that clip sells a raspberry pi 5 in a slick case with an ai accelerator and the caption "your own llms." clean build, fun kit. the claim is where it breaks. the fine print: the popular $70 pi ai kit uses a hailo-8l, 13 tops. it's built for vision, object detection and image processing, and it has no memory of its own. so it cannot run large language models. full stop the board that actually can is a different one: the newer ai hat+ 2, hailo-10h, 40 tops, with 8gb of dedicated ram. that's $130, not $70 and even that runs only tiny models. llama 3.2 at 1b, qwen 2.5 at 1.5b, deepseek r1 at 1.5b. edge llms live in the 1-7b range, against cloud models at 500b to 2 trillion so the honest pitch: for $130 you can run a very small language model on a pi, slowly, as a fun learning project. that's real and it's cool. "your own llms" on a $70 vision kit is not. why this keeps happening: "ai kit" and a big "tops" number sell. tops sounds like intelligence. but tops measures vision-style math, not whether the chip has the memory to hold a language model. the spec that matters for llms is ram, and the cheap kit has none. the honest caveats, both ways: the $70 kit is genuinely great, just at vision. cameras, object detection, that's its job the $130 hat really does run small llms locally, which a pi couldn't do at all two years ago. that's progress "small" is the load-bearing word. don't expect gpt at home on a pi the takeaway: before you buy a kit because the caption says llm, check two numbers. not the tops. the ram, and the size of the model it can actually load. no 70-dollar miracle, no gpt in a pi case, no tops number that means what you think. save this before you buy the wrong kit for the word on the box.

RetroChainer

11,100 Aufrufe • vor 1 Monat

🚨 The 10M Linkers Celebration Is Here! Don’t Miss Your Place in InterLink History! 🎉🌍 10 million Linkers is not just a number. It is a milestone built by the community, and if you are among the first 10 million, your place in InterLink’s story is already secured. 🔗💜 Now, the celebration is bringing several exciting opportunities for Linkers worldwide. Here is what is planned 👇 🔄 ITL Reverse Auction Buyback InterLink Labs plans to use its own funds to conduct an ITL buyback through a reverse auction mechanism. 💰📊 This will give ITL holders an opportunity to submit selling offers while supporting the broader 10M Linkers Celebration Programme. 📌 Participants should carefully review the official rules, eligibility requirements, timelines, and risks before taking part. 🎁 Recognition for the First 10 Million Linkers Every user among the first 10 million Linkers will receive a special gift as a token of appreciation. 🎉🎁 Your participation, trust, and support have helped shape InterLink’s journey. Being part of this group means holding a unique place in the project’s history—one that future communities will look back on. 🌟 If you are one of the first 10 million, this is your moment to celebrate. ⏳ 🌍 Global Meetup Series The celebration will not remain online. InterLink plans to organise offline meetups in cities around the world. 🏙️🤝🌐 These gatherings will give Linkers the chance to: Meet fellow community members face to face 🤝 Celebrate this historic milestone together 🎊 Exchange ideas and experiences 💬 Learn more about InterLink’s vision and roadmap 🧭 Build stronger local and global connections 🌍 More cities, more conversations, and more opportunities to connect are expected as the community continues to grow. 🚀 👕 Exclusive InterLink VIP Merchandise Outstanding contributors may receive exclusive InterLink VIP merchandise. 🏆👕🎁 This recognition is intended for Linkers who have consistently supported the ecosystem through meaningful contributions, community leadership, education, content creation, technical assistance, and other forms of participation. The people who help strengthen a community deserve to be recognised—and this is an opportunity for those contributions to stand out. 💜 🖼 Create Your 10M Linkers Avatar Want to make your participation visible? Create your own 10M Linkers Avatar and share it with the community! 📸✨ How to participate: Visit 👉 → Upload a PNG, JPG, or WebP image 🖼️ → Adjust the zoom, position, rotation, or flip settings 🎨 → Download your completed avatar ⬇️ → Share it on a social platform using #WeAreTheFirst10MLinkers 📣 🎁 10 lucky participants will each have a chance to receive $50. The campaign is a simple way to show that you were here, celebrate the milestone, and join Linkers around the world. 🌎🔗 ⏳ Why You Should Join Now Milestones like this do not happen every day. The first 10 million Linkers will always represent an important chapter in InterLink’s history. 📖✨ By joining the celebration now, you can: ✅ Mark your place among the first 10 million Linkers ✅ Take part in the avatar campaign ✅ Share the milestone with your network ✅ Stay connected with upcoming community activities ✅ Watch for meetup, reward, and buyback updates Do not wait until the celebration has passed to look back and wish you had participated. This is the time to get involved. 🚀 🎉 Your Place in the Story Starts Here The 10M Linkers Celebration brings together community recognition, a planned ITL reverse auction buyback, global meetups, VIP merchandise, and a social avatar campaign. 💜🌍 Whether you are an early Linker, an active contributor, or a supporter of InterLink’s future, this is your opportunity to celebrate alongside the wider community. 🖼️ Create your avatar today: 👉 Then share it with: #WeAreTheFirst10MLinkers 🎉 10 million Linkers. One historic milestone. Your place in the story. 🔗💜 InterLink Labs 👤 + 🌐 KV Reina | InterLink Labs #InterLink #ITL #ITLG #WeAreTheFirst10MLinkers 🚀

Tekkaus® | InterLink • MOD • T2 Community Builder

21,310 Aufrufe • vor 13 Tagen

john wick seedance text to video prompt: [STYLE / CINEMATIC SETUP] A 10.5-second, 16:9 photorealistic AAA action-game cinematic rendered at real-time speed with no slow motion. The setting is a cramped, cluttered late-night Asian restaurant connected to a rain-soaked street. Cyan-green fluorescent light, red neon and warm practical lamps create a high-contrast mixed-light environment, with reflections across wet floors and pavement. Shoot with a 35mm spherical lens, shallow-to-moderate depth of field and cinematic motion blur appropriate to the actual speed of movement. Use close shoulder-mounted and handheld coverage, connecting seven short close-combat shots with fast hard cuts. The camera instinctively pans, retreats or drops with each block, takedown and collision while keeping the action and contact points readable. No dialogue, no subtitles and no BGM. Generate only synchronized rain, appliance hum, urgent footsteps, fabric movement, body impacts, gunshots, metal contact and breaking glass. [IMAGE REFERENCES] No external still-image reference. Follow the written character and environment descriptions consistently. If the platform supports reference video, use the supplied video only as a reference for editing rhythm, camera distance, action direction and lighting atmosphere, not for copying a specific actor’s identity. The protagonist remains the same lean, agile man in his early forties throughout the sequence: neck-length black hair swept back, a short beard, a tired but focused face, a slightly wrinkled black suit, white shirt and narrow black tie, all carrying faint rain and wear marks. Preserve his face, hairstyle, body proportions, clothing and screen direction across all seven shots. Keep every opponent visually distinct: a man in a blue work uniform, a bald man in a navy jacket, a heavy man in a black jacket, a bald counter attacker, a red-headband attacker, a red-jacketed armed attacker and a heavy man in a dark green coat outside. [TIMELINE SECOND BY SECOND] 0–1.9s: [Shoulder-height medium close-up, tight lateral handheld tracking, real-time speed] The protagonist stands on screen left, pinning the blue-uniformed attacker against a glass refrigerator with his left forearm and palm. He delivers two compact, weighted elbow and palm-heel strikes. Each impact drives the attacker’s head into the refrigerator door, loosening his white headband and leaving a small blood trace on the glass; the attacker finishes sliding down the door while the protagonist remains standing. 1.9–4.3s: [Medium shot transitioning into a high-angle overhead, shoulder-mounted drop, real-time speed] Hard cut near the restaurant’s rear entrance. The bald attacker in a navy jacket locks the protagonist from behind. The protagonist lowers his center of gravity, traps the attacker’s arm and rotates his hips, throwing him heavily over the shoulder onto the wet floor. The camera drops with them into an overhead view. Kneeling across the attacker’s torso, the protagonist draws a compact black pistol and fires one downward shot; recoil travels through his wrist and the attacker jolts once before becoming still. 4.3–5.9s: [Tight medium shot, lateral handheld follow, real-time speed] Hard cut with both men already upright. A heavy attacker in a black jacket swings from screen right. The protagonist slips outside the punch, allowing it to pass close to his face, circles behind the attacker and locks his shoulder and neck off balance. He presses the pistol close to the side of the attacker’s head and fires. The muzzle flash briefly illuminates both faces; the attacker’s head and shoulders snap backward and his body begins to collapse. 5.9–7.9s: [Counter-height medium close-up, subtle handheld push-in, real-time speed] Hard cut to the restaurant counter. Another bald attacker bends forward and clamps around the protagonist’s waist. The protagonist pins the attacker’s head and neck under his left arm while grabbing a short, rigid pointed utensil from the counter. He drives two compact downward thrusts into the upper shoulder and side of the neck. Each contact bends the attacker’s knees further; a restrained amount of blood marks the shirt and counter edge before the attacker hangs helplessly beneath the protagonist’s controlling arm. 7.9–9.0s: [Two-person medium close-up, fast pan with a short retreat, real-time speed] Hard cut as the red-headband attacker rushes into close range. He throws a wide hook from screen right. The protagonist raises his forearm to block, catches the wrist and pulls it outward, then drives a palm heel and forearm into the attacker’s face. The camera retreats with the impact as the attacker loses his balance and staggers toward the rear right of the frame. 9.0–9.9s: [Low-angle wide shot, slight arc around the action, real-time speed] Hard cut to a wider section of the restaurant. The red-jacketed armed attacker advances from screen left. Holding a long black firearm with both hands, the protagonist uses it as a blunt weapon and swings horizontally from right to left. The weapon strikes the attacker’s upper chest and shoulder, rotating his torso, crossing his feet and sending him off balance toward screen left. 9.9–10.5s: [Exterior rainy-street medium shot, fast parallel tracking, real-time speed] Hard cut outside the restaurant. The protagonist already controls a heavy attacker in a dark green coat and uses his forward momentum to drive the man’s head and upper body into the side window of a parked black station wagon. The glass bursts inward at the contact point, scattering both large and fine fragments. The attacker folds through the broken window while the protagonist regains stable footing beside the car, ending with glass fragments still falling. [STYLE & QUALITY BOOSTERS] Maintain the protagonist’s face, black suit, white shirt, tie, hairstyle and body proportions through every hard cut. The pistol, pointed utensil, injuries and blood marks must appear only in their designated shots and must never morph or change ownership. Throws, recoil, strike reactions, loss of balance and window breakage must show believable weight, inertia and precise contact. Apply motion blur only to rapidly moving arms, weapons, glass fragments and camera-relative backgrounds. No sudden face or costume changes; no extra fingers, fused limbs or inverted joints; no morphing weapons, utensils or vehicles; no foot sliding or rubber-like collision reactions; no blood, bullet damage or glass fragments appearing before physical contact.

underwood

12,588 Aufrufe • vor 22 Tagen

🚨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." ] }

肖师傅

14,022 Aufrufe • vor 7 Monaten

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.

Leon Lin

128,501 Aufrufe • vor 5 Monaten