Jordi Rivero

AI-Driven CTO: Transforming Legacy Systems into Intelligent Platforms at LeadTech. Expert in AI Integration, Strategic Innovation, and Telecom Optimization.

[Afshine Emrani MD FACC @afshineemrani]

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.

[Jordi Rivero @jrivero]

@Dataxtodos @raulcotrina @getmanfred Ofertas de Junior siempre hubieron pocas, porque la mayoría de los Seniors no tienen capacidad para apoyarse en alguien muy inferior. Se siguen formando Juniors, personalmente no me preocupa en exceso, hay muchos Mids y Seniors que son Juniors y no lo saben 😋

[Jordi Rivero @jrivero]

@Dataxtodos @raulcotrina @getmanfred A dónde vamos no necesitamos tantos seniors

[Jordi Rivero @jrivero]

@unachicaypunch @prince_ff10048 @inNomineSomnium Y se irían menos ricos, y vendrían más ricos… y eso es mas recaudación

[Jordi Rivero @jrivero]

@quintanapaz A mi también me tacharon una respuesta así cuando estudiaba, yo entendí la pregunta de otro modo y en mi contexto era una respuesta correcta en la que se demostraba que entendía el tema. Este alumno sabe lo que es 98 y 99 perfectamente.

[Jordi Rivero @jrivero]

@didem5654 (N+1)^2 = 110

[Jordi Rivero @jrivero]

@martinvars la pagina estilo doge que creaste, se podría recuperar?

[Jordi Rivero @jrivero]

@Mariellangsaez 99

[Jordi Rivero @jrivero]

@barckcode Cómo se entra?

[Jordi Rivero @jrivero]

@elonmusk I think it would be amazing to implement this idea in Tesla cars. Let me know if you feel the same way. https://t.co/ThyEzJj4D8

[Jordi Rivero @jrivero]

Avicii

[Tobias Wupperfeld @tobiaswup]

Everyone buying Mac Minis for local AI is obsessing over VRAM.

That's not the whole story.

Here's what actually determines how fast your models run:

1/ VRAM tells you if a model will load.

If the model weights are too big for your RAM, it simply won't run. Full stop.

But once it loads? VRAM becomes almost irrelevant.

2/ Memory bandwidth is what actually matters after that.

It's the read/write speed of your RAM — and it's what controls how many tokens per second you get.

Slow bandwidth = slow model. Doesn't matter how much VRAM you have.

3/ This is why data center GPUs feel like cheating.

They have dramatically faster memory bandwidth than consumer hardware — often 10–20x more.

It's not just "more RAM." It's a completely different quality of RAM.

4/ Apple has generally pushed bandwidth higher across M-chip generations.

M1 sits at ~68 GB/s. M4 — what's in the current Mac Mini — hits 120 GB/s.

Same VRAM. Noticeably faster models.

5/ I only figured this out while building an AI hardware directory and model calculator.

You can't design a tool like that without going deep on how inference actually works.

VRAM gets all the headlines. Bandwidth is the hidden lever.

Bookmark this before you buy your next hardware.

[Jordi Rivero @jrivero]

@everestchris6 Pool

[Jordi Rivero @jrivero]

@everestchris6 solar

[Chris @everestchris6]

this OpenClaw bot finds warehouse owners & books them solar deals on autopilot...

here's how solar business owners can use it to close $500k+ commercial installs:

- scans 1000s of warehouses via satellite imagery
- scores every roof by size, sun hours & payback
- pierces the LLC to find the actual human owner (not info@)
- renders their building with panels on it + 25-yr savings
- ships them a personalized microsite at their company name
- follows up across email, sms & linkedin
- books calls straight to the calendar 24/7

reply "SOLAR" + RT and i'll send you the full breakdown of how you can do it too (must be following so i can dm)

[Jordi Rivero @jrivero]

@juanjovn @johnnhy00 Haha… ya no responde!

[Jordi Rivero @jrivero]

@TechLayoffLover India is the next China

[Hispanic Nomad | Remote Work, Travel, Growth @hispanicnomad]

Spain 🇪🇸 was just FORCED to eliminate VAT for self-employed people billing under €85,000 a year

Every other EU country did this in January 2025. Germany, France, Italy... all of them.

But of course, Spain said no

I've been self-employed in Spain, so I know what quarterly VAT declarations feel like

The modelo 303, the gestor fees, the Friday afternoons reconciling invoices...

It's a real weight, especially when you're starting out and every hour counts. And that's not to mention that every Euro a client has to spend on VAT, he can't spend on you

So when the EU passed the directive that would remove all of that for small freelancers, you'd think Spain would have jumped at it

But... of course they didn't. For over a year, while 1.5 to 2 million Spanish autónomos kept filing and paying, their counterparts in every other EU country had already moved on

The European Commission eventually took Spain to court over it. The potential fine was around €30 million

And here's the part that's hard to swallow: by some estimates, Hacienda was collecting around €200 million a year from those small freelancers. Even with the fine, the math worked in their favor. So they kept saying no. They just don't care

What finally changed it wasn't pressure from Brussels, but Junts threatening to vote against an unrelated energy crisis decree unless the government included the measure. Classic

Anyway... It passed

In practice: if you bill under €85,000 a year, you no longer have to charge VAT on your invoices or file quarterly declarations. The trade-off is you can't deduct input VAT on your expenses either, so it's more of an administrative relief than a straight tax cut. Whether it's worth it depends on your cost structure, but just the time you save alone makes this huge, imo

For a lot of freelancers, especially those working with end consumers who can't deduct VAT anyway, this is genuinely good news

But more importantly... this is too little, too late, as always. It took a court case and a political hostage situation to make it happen

But hey, at least it's done

That's Spain for you. The country is magnificent... but the system fights you every step of the way

[Jordi Rivero @jrivero]

@sfdxpro Avísame si baja la ram que yo me pido 2Tb

[Jordi Rivero @jrivero]

@Mr_Drone Código