📖SEEDANCE 2.0 IS SETTING A NEW STANDARD FOR AI FILMMAKING.
In a 20-minute video, you'll find out what you might not have guessed
With the right workflow, you can create cinematic AI videos with consistent characters, natural voiceovers, and professional-quality visuals.
The pipeline is simple:
• Nano Banana Pro for character sheets
• Multi-shot prompting for coherent scenes
• Seedance 2.0 for video + voice generation
• Topaz for upscaling
• Premiere Pro for the final edit
A repeatable workflow that works for AI short films, commercials, and client projects.
I found some good material that I have reviewed many times and decided to share with you. The author explains everything in great detail. This is not just a review - it is a pleasure.
📥Tomorrow I'm covering the one that surprised me the most this month.
🔖The guide below has some interesting information. One bookmark, one workflow, one result.
How do you turn a scene idea into a Prompt?
All you need to do is roughly describe what's in your head to an LLM. It doesn't have to be perfect or highly detailed. Once it understands the core idea, it can help turn it into a well-structured prompt.
In my case, I use a custom skill file that I built myself. After I provide the idea, it generates both a storyboard and video prompts for me. I then review the outputs and refine them through iteration, giving feedback like "make this shot wider," "change this action," or "move the camera here."
After a few rounds of adjustments, I usually arrive at the final result. The process is much closer to directing than writing a perfect prompt from scratch.
The Idea: Two characters face each other. Serenity fights like a Wing Chun master. She unleashes a rapid barrage of punches into Ruk's abdomen. The fight should feel highly energetic and sakuga-driven, with exaggerated action beats and dynamic choreography. Use 14 panels. The final attack should show Serenity launching high into the sky, then diving straight down at extreme speed. She lands with both feet on Ruk's head, driving him deep into the ground and burying him on impact. All other scenes should be equally creative and visually inventive. Emphasize fast pacing, flash cuts, burst cuts, sudden perspective changes, dramatic impact moments, and imaginative camera angles. Use aggressive screen direction, strong momentum shifts, dynamic framing, and escalating choreography to create a thrilling, high-energy martial arts sequence.
This is the final video, you can check the prompts in the replies.
Used tools: Midjourney, Codex, GPT Image 2, Seedance 2.0, Suno, Capcut
🚨 GPT 5.6 Pro first output on the same prompt
we are getting started
> frontend/ webdev is not solved or improved yet
> but understanding increased a lot
> it started to take 20-40 mins again like it used to do before 5.5 pro
GLM-5.2 can now be run locally!🔥
The 2-bit model retains ~82% accuracy after we shrunk it from 1.51TB to 238GB (-84% size).
Run on a 256GB Mac or RAM/VRAM setups.
GLM-5.2 is the strongest open model to date.
Guide: https://t.co/bI7FeeKHDd
GGUF: https://t.co/BMkxswdj5N
I'm a cardiologist. Something just happened today that I genuinely did not see coming — and it could change the future of preventive medicine more than anything I've written about on this platform.
Midjourney — the AI company that became famous for generating images from text prompts — just announced a medical hardware division and unveiled a working prototype of a full-body scanner unlike anything that's ever existed.
It's called the Midjourney Scanner. And it works like this.
You step into a shallow pool of water. You stand on a platform that slowly descends — about two inches per second — through a ring containing roughly half a million tiny ultrasonic transducers, each the size of a grain of sand. Every one of them acts as both a speaker and a microphone, sending ultrasonic waves through your body from every angle and recording what comes back.
60 seconds later, you step out. The scan is done.
No radiation. No magnets. No claustrophobia. No IV contrast. Just sound, water, and an almost incomprehensible amount of computing power — roughly 2 petaflops processing 17 gigabytes per second of raw acoustic data — reconstructing a 3D map of your entire internal anatomy down to half a millimeter resolution.
Organs. Tissues. Blood vessels. Bones. Muscle. Fat distribution. All segmented by AI in real time.
As a cardiologist who has spent months writing about how the standard screening playbook misses the majority of future heart attacks — this is the technology I've been waiting for without knowing it existed.
Here's why this matters for the future of your heart.
Right now, getting a detailed look inside your cardiovascular system requires either a CT scan (radiation), an MRI (magnets, claustrophobia, 45-60 minutes, $1,000+), or a coronary CT angiogram (radiation, IV contrast, limited availability). These are powerful tools. I order them regularly and they save lives.
But they're reactive. You get them when something is already suspected. They're expensive. They're uncomfortable. And for most people, they happen once — maybe twice — in a lifetime.
Imagine instead: a 60-second scan with no radiation that you could repeat monthly or quarterly. Tracking cardiac structure over time. Watching body composition shift. Detecting changes in organ size, fluid distribution, or vascular architecture before symptoms ever develop. Building a longitudinal dataset of YOUR body that AI can analyze for patterns no single snapshot would reveal.
That's what Midjourney is building toward.
The company plans 50,000 scanners worldwide over six years, with capacity for a billion scans per month. The first location — the "Midjourney Spa" in San Francisco — opens at the end of 2027 with 10 scanners alongside saunas, cold plunges, and a gym. The scan costs a few dollars. The experience is designed to feel like wellness, not medicine.
The technology is built on Butterfly Network's ultrasound-on-chip platform — 40 modules per scanner — combined with Midjourney's own AI segmentation and reconstruction stack. David Holz, the founder, claims the system aims for image quality comparable to MRI in many aspects but at nearly 100x the speed with zero radiation.
Now the caveats — because I'm a physician and the caveats matter enormously.
This is a Gen 1 prototype. About a dozen people have been scanned so far. Current scan time is actually closer to 20 minutes, not 60 seconds — the system is bottlenecked by bandwidth and reconstruction algorithms. The 60-second target is aspirational for future hardware generations.
It is not FDA-cleared for diagnostic use. Midjourney is starting with body composition maps — a category below diagnostic imaging in the regulatory hierarchy. The path from "beautiful 3D body scans" to "clinically validated diagnostic tool that your cardiologist can act on" runs through years of clinical trials, comparative studies against MRI and CT gold standards, and FDA review.
No independent clinical validation has been published. The imaging claims come from Midjourney's own demonstrations. Comparative data against established modalities does not yet exist.
And the privacy implications of full-body internal scans at planetary scale — a billion scans per month — is a conversation that hasn't even started yet.
So I want to be precise. This is not ready for clinical medicine today. It may not be ready for years. Many ambitious medical hardware projects have failed in the gap between prototype and product.
But.
The fact that a working prototype exists — producing real segmented 3D anatomy from sound waves and compute alone — means the physics works. The engineering works. The question is no longer "is this possible" but "how fast can it be validated and scaled."
And if it is validated — if the resolution holds up against MRI, if the AI segmentation proves reliable, if the regulatory path clears — then what we're looking at is the most significant new imaging modality in 50 years.
For my entire career, preventive cardiology has been limited by the fact that seeing inside the body is expensive, slow, uncomfortable, and infrequent. We catch disease late because we image rarely. We image rarely because imaging is hard.
A 60-second, no-radiation, spa-based full-body scan that costs a few dollars would demolish every one of those barriers.
I've written about AI detecting inflamed arteries. About gene editing curing cholesterol. About GLP-1 drugs rewriting metabolic medicine. About cellular reprogramming reversing aging.
This is the missing piece: the ability to see inside every human body, routinely, safely, and affordably — so all of those interventions can be deployed before the disease arrives instead of after.
The company that taught AI to generate images from imagination just built a machine that generates images from the human body.
The future of medicine showed up today from the last place anyone expected.
Pros: Radiation-free, magnet-free, fast and low-cost
Cons: Requires person to sit in a water immersion tank, and currently has coarser resolution than CT/MRI