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#POCUS image of the day: Continuous sweeping transversal scan performed along the right mid-clavicular line. What do we see here? #FOAMed #MedEd #FOAMcc Image courtesy: J Clin Monit Comput. 2024, PMID: 38460104.

22,018 görüntüleme • 2 yıl önce •via X (Twitter)

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I Combined ChatGPT 5.5 Image-2 + Claude Fable 5… And Built This FULL Game in JUST 8 Hours 😱 The World Has Officially Changed Forever Guys… I still can’t believe what I just pulled off. I took ChatGPT 5.5’s new Image-2 to generate every single visual characters, environments, UI, particles, everything and paired it with Claude Fable 5 for the entire codebase. The result? A complete, polished, fully playable game… finished in only 8 hours. No massive team. No months of crunch. No expensive asset packs. Image-2 created mind-blowing art assets on demand. Fable 5 turned those images into real, working code mechanics, physics, AI, animations, menus everything. This hybrid combo is straight-up sorcery. The world has truly changed. We are no longer waiting years for games to be made. One person + these two god-tier AIs just built something that used to require entire studios and huge budgets… in less than a single workday. This is the next level of human civilization. This is what creation looks like from now on. But here’s the crazy part: This free access ends June 22, 2026. After that, you’ll have to pay/subscribe to keep using it. If you’ve been waiting to see what the future of game dev actually looks like… THIS IS IT. Go try it right now before the paywall hits. Don’t sleep on this. Seriously. Drop in the comments: What game should I build next with this insane Image-2 + Fable 5 hybrid? Like if your mind is blown too 🔥 And tag a friend who NEEDS to see this before it’s gone. The future isn’t coming… It’s already here. And it’s free for one more day only. #Fable5 #ChatGPT55 #Image2 #AIHybrid #GameDevRevolution

Zayro.ETH

27,929 görüntüleme • 2 ay önce

Tried this viral prompt idea on BudgetPixel AI using GPT Image 2 + Seedance 2.0 Prompt remove the arrows immediately while starting the video. The camera generates footage in a first-person, ultra-high-speed perspective, faithfully following the exact path of the red line marked on the reference image. Cinematic presentation. Low-angle ground-level shot racing across the lush green meadow filled with wildflowers and tall grass, following the exact curving path shown in the reference image. Pass smoothly right beside the large fluffy long-haired cat sitting alert on the left foreground, its fur detailed and catching warm sunlight. A second cat lies playfully on its back in the grass nearby. Scattered throughout the vibrant field are numerous hens and chickens grazing and moving naturally in the same positions as the reference photo. A rustic wooden farmhouse sits nestled in the midground among the greenery. The camera then continues the smooth ascent following the curving path upward along the gentle stream area, soaring through the dense trees toward the towering rocky mountain peaks. It dramatically circles the central mountain before pulling back into a breathtaking bird’s-eye panoramic view of the entire valley, showcasing the full scale of the river, forests, fields, farmhouse, and animals below. One continuous fluid cinematic shot with no cuts. Photorealistic, ultra-detailed textures on the cats’ fur, chicken feathers, vegetation, water reflections, and rocks. Warm golden hour lighting with soft volumetric god rays, rich atmospheric depth, vibrant natural colors, National Geographic level realism, masterpiece --ar 16:9 --stylize 25 --v 6

Aaliya

14,611 görüntüleme • 2 ay önce

this effect is all over tiktok right now and nobody's explaining how to actually do it properly... the 3d balloon character thing. where someone turns into a shiny inflatable version of themselves that still moves and talks. looks pretty smooth in feeds. the workflow is stupid simple once you see it. step 1: take any photo. drop it into an image gen tool (nano banana pro). prompt it with something like "make the person in the photo a plastic blow up balloon character with a shiny surface. keep the face details as 3d balloon details including the person in the background. don't change background" that's it for the image. don't overcomplicate the prompt. shorter = more consistent results. (learned this after wasting like 2 hours trying to get "perfect" prompts that kept giving me garbage) step 2: take that balloon image + your original video and drop both into kling motion control. prompt: "turn the motion and detailed mouth movement of the video to the setting of the image" that's literally it. kling maps the motion from the real video onto the balloon character. mouth moves. head turns. expressions transfer. the whole thing renders in a few minutes. the result looks like a $500 custom animation and costs you maybe $0.30 in kling credits. people are getting 500k+ views with these because the scroll-stop factor is insane. nobody expects to see a shiny inflatable version of someone giving a real speech or doing a product review. the play here is obvious btw. run this for client content (mix with the hook and real body, check the results yourself) or use it on your own faceless channels as a hook pattern before the algo catches up...

KNOX

25,773 görüntüleme • 6 ay önce

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

208,975 görüntüleme • 6 ay önce

Real or AI? AI stadium broadcast trend 💛 💙 • Create the video here: 🔗[ ] - How it works? 1. Upload your photo to ChatGPT with this prompt: [PHOTO PROMPT] Realistic sports broadcast screenshot-style documentary photo set in the spectator stands of a [WRITE YOUR TEAM HERE] football match. Analyze the uploaded image and show the person sitting in the stadium seats. The person has delicate facial features and a surprised yet focused expression while looking toward the field. The person is wearing a [WRITE YOUR TEAM HERE] jersey. OUTPUT: ratio: 16:9 broadcast frame, realistic TV capture quality. 2. Open the link above → select “Text to Video” → upload the generated image + use this prompt: [VIDEO PROMPT] Dimage = character identity reference only (face, hairstyle, proportions).Preserve exact face, hairstyle, skin texture, and identity. Do NOT stylize or beautify.Output: single continuous live sports broadcast shot, 4-5s, 16:9, 1080p, no cuts. SUBJECT:A young woman based on Image, sitting in a [WRITE YOUR TEAM HERE] football stadium audience.Hands resting naturally on her lap or lightly placed on the seat.Neutral, slightly distant expression.Natural breathing, minimal movement. ENVIRONMENT: [WRITE YOUR TEAM HERE] stadium crowd during live match.Plastic seats, fans around her wearing [WRITE YOUR TEAM HERE] jerseys. Background slightly out of focus.Realistic stadium lighting - day or night.Slight haze from broadcast compression. MOOD:Unstaged, candid, real broadcast moment No cinematic drama. Pure live TV capture. CAMERA:Telephoto broadcast lens (120-150mm).Long-distance zoom from upper stands camera.Strong compression, shallow depth of field.Eye-level, very slight upward tilt.Subtle micro-shake from broadcast stabilization. ACTION (4-5s):[0-2s] She sits still, blinks once. Hands resting naturally.[2-4s] Subtle weight shift, naturally adjusting posture. Minimal body movement.[4-5s] Small hand reposition on lap or seat. Slight head turn toward the field._ DETAILS:No posing. No eye contact with camera. Skin texture realistic, no smoothing or beautification. Slight motion blur on background crowd.Faint broadcast scoreboard UI visible in corner.

Zaylee

26,495 görüntüleme • 3 ay önce

I think a big mistake is believing that if something is here, we should be able to see it. Right? The lights in the sky and the pilots or the gods or whatever they are? I think we assume out of arrogance and ego. An insect can crawl across your hand and never understand that you are a whole entire being. It only experiences pressure, heat, vibration, and movement. A fingertip appears. A shadow passes. The insect never sees the body attached to it. The insect does not have access to the full image. Ever. I think our situation may be exactly the same. Whatever people call the phenomenon, nonhuman intelligence, gods, or something else entirely, may be present in full while we only register a portion of it. We notice effects, not the actual being. Changes in perception. Anomalies. We expect a face when all we are capable of sensing is the fingertip. Let me explain. Reports are always partial and strange. Lights, shapes, impressions, symbols, missing time, pressure, fear, calm. None of it ever shows us a full being, or the real craft; because our senses are not built to assemble it. Just like the ant cannot assemble a human from a few sensations. Now that doesn't mean what we are seeing is fake. It means the insect’s world is smaller than the thing interacting with it. I get sick of people saying there is no there there, I think they are making the same mistake the insect would make. Our reality is likely a thin slice of what actually exists. We move through a world full of forces and intelligences that exceed our resolution. We are not seeing nothing. We are seeing effects. And effects are often the only honest proof a limited observer ever gets.

Jason Wilde

12,125 görüntüleme • 6 ay önce