The Silver AI Project - free AI training materials @SilverAIProject

Improving an interior dataset using #GaussianSplats with #LichtFeldStudio (@janusch_patas) and #SuperSplat (@playcanvas). Music : pixabay.com/music/future-b…

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.

Midjourney @midjourney

5 days ago

Announcing a new division of Midjourney called "Midjourney Medical"

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A company going places

Butterfly Network @ButterflyNetInc

4 days ago

Half a million sensors. 40 Butterfly chips. A new way to see your own health. @midjourney just pulled back the curtain on their whole-body scanner prototype — embedded with our Ultrasound-on-Chip™ technology. The next era of ultrasound is here → midjourney.com/medical/blogpo…

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3D Gaussian Splat tech is getting wild. What are the projected real-world practical use cases for it? Off the top of my head: -Real-estate, Airbnb, event spaces -Ecommerce product viz -Virtual camera moves What else?

Let me explain why an AI art company just built a full-body medical scanner, because almost everyone is reading this as a random pivot. Ultrasonic CT works by firing sound through your body and recording the ripples that scatter back. Half a million emitters the size of a grain of sand, surrounding you in water, each one listening. What comes back is noise. Reconstructing a clean 3D image of muscle and tissue from that scattered acoustic mess is an inverse problem, and it is brutally hard. The hardware is the easy part. Butterfly Network already makes the chips. The reconstruction is where every previous attempt stalled. That reconstruction is the exact problem Midjourney spent years getting good at. Turning ambiguous input into a coherent image is what they do. They aimed it at sound waves instead of text prompts. This is why the scan takes 60 seconds while a full-body MRI takes 60 to 90 minutes. Close to 100x faster, no radiation, no magnets, resolution down to a fraction of a millimeter. Then read the part most people skipped. The scans happen at a spa. Hot tubs, cold plunges, and a machine that quietly images your whole body while you relax. The scan is a side effect. You barely notice it. Run it forward. The plan is 50,000 machines doing a billion scans every month. Midjourney has no investors and no quarterly hardware margin to chase. The payoff was never the scan fee. A billion monthly full-body scans is the largest longitudinal map of human anatomy ever assembled. Every model trained on it gets sharper, and every sharper model makes the next scan worth more. This was always an image company. They just found a kind of image nobody else could generate.

Midjourney @midjourney

5 days ago

A technical dive inside our new "Midjourney Scanner"

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Beyond amazing

This isn’t video. It’s a photorealistic 3D Gaussian splat of a 15th–16th century church near Bergamo. 🇮🇹 Half a GB of data, but it loads instantly in the browser (thanks to the @playcanvas Engine). Digital heritage and virtual tourism are about to change forever.

27 million Chrome users just got a 4GB AI model installed on their computer. No consent screen. No opt-in. No uninstall instructions. Google added Gemini Nano silently, and most people still don't know it's sitting on their device right now. Here's how to check if you're one of them and remove it: 🧵

everyone's upset that fable 5 is gone, but can i remind you that opus 4.8 just one-shotted this: an AI badminton scorekeeper point a phone at the court → it follows the shuttlecock, keeps score, and tells you how hard you're whacking it get back to building friends

衝撃が少し落ち着いてきたので昨日の研究会で聞いたことを書くと、元同僚研究者が理論物理学の研究の自動化に取り組んでいて、Claudeをメインにしたシステムをひと月ほどで構築、それを一昨日から1日自律的に動かし（おそらくFable 5か）、昨日出力されたのは、開発者自身（超優秀な世界的理論物理学者です）では思いつかない非自明な結果を含む高度な研究論文だったという。アイデア出しから文献検索、解析計算と数値検証、さらに全ての式変形が数学的に間違いないことの検証、出た結果の他のAIによる検証、原稿作成、査読、リバイズ、などを完全自動化。もはや人間がAIの出力を理解したりチェックする作業が律速段階であるといい、さらには最初に研究したら面白そうだと与えている発想の部分もAIが自律的に行えるようにできるだろうとのこと。夢でも見ていたのかと思ったが、出席していた他の理論物理学者や数学者も自分と同じ衝撃を受けていたので、現実だったようだ

What many folks fail to understand is the new market from $SPCX is ultimately Space Mining. If only 1/2 of 1% of the mineral value of 16 Psyche Astroid is mined, and that is easier than most thing, the stock is so undervalued it’s hard to comprehend.

Brian Roemmele @BrianRoemmele

3 years ago

Consider the 16 Psyche astroid. On 2/28/2020, NASA awarded SpaceX a $117 million contract to launch a Psyche spacecraft. Few noticed. When 16 Psyche is mined the gold, platinum, nickel value is estimated at $700,000,000,000,000,000,000,000,000,000,000 dollars. Get ready.

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$SPCX shares are priced at $135 for its $2 trillion IPO. Its return is 100x-200x by 2035. These 20 companies will benefit the most: 1. $BKSY ~$34 AI-ready Earth observation satellites feed SpaceX orbital intelligence layer. 2. $SPIR ~$20 Space data analytics monetizing SpaceX's growing orbital constellation. 3. $ACHR ~$5 Air mobility networks integrate with Starlink's low-latency infrastructure. 5. $SATL ~$7 High-resolution imaging complements SpaceX orbital AI compute constellation data. 6. $VIAV ~$50 Optical networking components critical for Starlink ground station upgrades. 7. $OUST ~$40 Sensor fusion tech supports SpaceX booster catch reusability automation. 8. $GILT ~$15 Satellite ground infrastructure scales alongside Starlink enterprise deployments. 9. $POET ~$11 Optical interposer chips slash data center power costs inside COLOSSUS AI cluster. 10. $ARQQ ~$12 Quantum encryption securing Starshield government classified orbital networks. 11. $TWST ~$74 Synthetic biology tools accelerate SpaceX long-term Mars life support research. 12. $LUNR ~$30 NASA lunar lander tech directly supports SpaceX Moon base buildout. 13. $AEVA ~$24 LiDAR sensors enable autonomous Starship landing and booster catch precision. 14. $KTOS ~$60 Defense tech partner powering Starshield national security satellite contracts. 15. $IONQ ~$58 Quantum compute layer powering next-gen orbital AI satellites. 16. $RDDT ~$178 Real-time social data feeds Grok's truth-seeking AI via X integration. 17. $RKLB ~$115 Small payload launch fills exact gaps Falcon can't efficiently serve. 18. $ASTS ~$97 Direct-to-phone satellite broadband. Starlink's closest competitor and partner. 19. $MTSI ~$375 RF semiconductors power Starlink phased-array antenna signal processing. 20. $BWXT ~$200 Nuclear propulsion R&D aligns with SpaceX Mars mission power requirements. I'm definetly a buyer of $SPCX IPO and want to get it super cheap. ♻️ RESHARE this post and write 1 comment, I'll DM you the PRICE I want to buy $SPCX at this month.

UK politicians please watch

Today I'm publishing a new essay, Policy on the AI Exponential. AI is progressing extremely fast—much faster than the policy process was built to handle. The essay lays out where I think the technology is now, and the action needed to close the gap: darioamodei.com/post/policy-on…

Anthropic's CEO Dario Amodei: "some of the early companies we gave Mythos to said – this is a super weapon. please don't release this" on leaving OpenAI: "when you feel that you can't trust someone, when you feel that their values are not what they say they are – that makes it very hard to continue" Boris Cherny, Head of Claude Code: "90% of code at Anthropic is written by Claude. a lot of Claude Code's code is written by Claude Code" Dario puts the odds of civilizational collapse from AI at 10–25% 47 minutes. free. Dario, Daniela, Boris – the deepest look inside Anthropic ever filmed bookmark & watch ↓

Carnage @0xCarnagee

2 weeks ago

Anthropic just mass Claude Fable 5 – their most powerful model ever released to the public their previous model at this level found thousands of cybersecurity vulnerabilities. they refused to release it and handed it to the people who protect the world's critical software

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Wow, Claude Fable is absolutely insane for iOS apps. I asked it for an "extremely delightful" calorie tracker. This is from ONE prompt:

Okay now @Lovable has ALSO announced plans to open a new office in London! Yesterday the company announced surpassing $500m ARR. Today it is doubling down on the UK. It joins Cursor and Legora who have all announced plans to hire and expand more in London today. The city is FLYING LETS GOOO

Today, we released Gemini 3.5 Live Translate, our latest audio model for live speech-to-speech translation. It supports over 70 languages and starts translating as soon as you start talking, streaming translations while listening to what you say next. No awkward pauses or choppy audio, just real connection without language barriers. So, how does it work? 🤔 The model is able to make split-second decisions to juggle speed and translation quality so conversations actually feel fluid, human, and natural. In order to do this, the model must receive and contextualize the input while simultaneously outputting the translated speech. Through this process, Gemini 3.5 Live Translate manages to stay mere seconds behind each speaker and can even maintain pacing, pitch, and intonation across extended sessions. See it in action below, or try it yourself in the Google Translate app on iOS & Android.