AL

[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.

[Ranthony @ChiefTeef8]

Silent gen: we ate dirt sandwiches during the great depression

Boomers: my dad died in ww2 and I got drafted to fight in Vietnam

Gen X: leaded fuel made us psychotic and we started smoking at 9 years old

Millenials: my parents are divorced and im bartender with a PhD

Gen Z:

[Freddy🇩🇪 @FreddyLA7]

Little tour around the LSU campus and a quick visit to Mike the Tiger🐅

[Karli Bonne’ 🇺🇸 @KarluskaP]

Holy fuckin’ shit I would like to report a murder!

[🇬🇹⚜️ @saraodette]

If New Orleans had a Backrooms portal it would be Frankie & Johnnie's Furniture

[physically imposing bald austin butler @meatprison2]

baby billy would NEVER pass up a bag

[Karol Markowicz @karol]

I keep hearing people refer to Marco Rubio as a millennial and I just want to note he was born in 1971 so he is clearly Gen X. LET US HAVE THIS.

[AL @aocascio]

@elonmusk Please open a Baton Rouge Tesla Dealership or anywhere in Louisiana. I placed an order for a Model Y then realized would have to go to Tennessee or Florida to pick up so I cancelled:(

[Teslaconomics @Teslaconomics]

How many Tesla Robotaxis would you want to own?

The more I think about it, the more I believe this could end up being one of the greatest investment opportunities regular people ever get access to.

And I don't say that lightly. I really do a lot of research before I put any of my $ to work.

If Tesla delivers anywhere close to what they’ve been building toward for years, owning a Robotaxi may end up being better than buying a home, better than owning rental property, and better than a lot of traditional “safe” investments people have been told to chase their whole lives.

Look at the basic math.

A Tesla Cybercab is expected to cost somewhere around $25,000 to $30,000. If one of those cars can generate around ~$30,000 a year in net profit to the owner after Tesla’s cut, charging, tires, maintenance, insurance, cleaning, and all the other costs, that means the car could basically pay for itself in about a year.

That's so wild to me...

Most investments take years to pay off. A house can take decades. A rental property sounds great on paper, but once you add mortgage payments, taxes, repairs, vacancies, random problems, and property management, the returns usually look a lot less exciting than people make them sound. Trust me, I know bc I own rental properties.

And a Tesla Robotaxi is going to be very different.

It’s not sitting there doing nothing for most of the day like a house does. It can be out working almost around the clock. While you sleep, while you’re with your family, while you’re living your life, that asset could still be out there producing $ income.

And once you're able to scale it, that’s when it starts getting really interesting.

1/ Four Robotaxis could mean around ~$100,000 a year.
2/ Seventeen could mean around ~$500,000 a year.
3/ Thirty-four could mean around ~$1 million a year.

And the thing is, the total vehicle cost for a fleet doing that kind of income could still just be around $850,000 to $1 million.

That’s the part that completely breaks my brain, bc traditional investments usually don’t work like that.

With real estate, you’re usually putting huge $ down upfront, taking on long debt, waiting years for equity to build, and dealing with constant headaches along the way. Tenants, repairs, late payments, vacancies, management fees, surprise costs, stress.. things like that.

It honestly never really ends.

With the Tesla Robotaxi model, at least in theory for now, the whole thing is much more simple.

1/ You buy the asset.
2/ You place it into the Tesla Robotaxi network.
3/ Tesla handles the rider app, the routing, the payments, and the software side.
4/ The car goes to work.
5/ You collect the $ income after Tesla's cut.

You don't really have to worry about things like bad tenants, midnight phone calls, clogged toilets, eviction stuff, fixing drywall bc someone trashed the place... you just have an AI machine on wheels working for you 24/7.

That’s why I think this has the potential to completely change how people think about $ passive income... I've been saying this for years to all my family and friends.

They all still think I'm crazy... tbh... but everyone says that about me until they realize I'm not bc I've done the work.

Even the financing side becomes interesting. If the economics are as strong as Tesla is hinting, even financing the cars could make sense (which I usually never do) bc the income from the vehicle could cover the note much faster than traditional assets usually can. Instead of waiting forever to get past the break-even stage, you could potentially be through that phase much sooner and then use the cash flow to grow the fleet even more.

I really could see this product setting many people financially free one day...

Now obviously, I’m not saying this is guaranteed. It’s still early. Regulations matter. Insurance matters. City rollout matters. FSD has to keep improving. Tesla has to execute. A LOT of things still has to go right.

But that doesn’t change my point.

If Tesla gets this right, Tesla Robotaxis has the potential to become a completely new asset class. And I really don’t think most people understand how big that is yet.

For years, we've been taught that the dream is to buy a house, take on a 30-year mortgage, maybe rent one out someday, and slowly build wealth over decades.

But WHAT IF the better move in the future is owning a fleet of autonomous electric vehicles that can earn $ for you every single day? Like, what if the new rental property is a Robotaxi?

That’s why I'm obsessed with this question of how many Tesla Robotaxis people would like to own one day bc for the people who understand this early, it could be one of the biggest wealth-building opportunities of our lifetime.

I do like to joke a lot and have fun, but I'm dead serious about this.

[Gene Parmesan @dsonoiki]

“Trump is bad for the economy”

[Kathleen Winchell ❤️🤍💙🇺🇸🇺🇸 @KathleenWinche3]

After listening to this I am deleting my message
On voice mail! Wow 🤯

[CG @cgtwts]

Let me explain what just happened, because I don’t think people realize how INSANE this is.

> Cortical Labs put 200,000 real human brain cells onto a silicon chip and trained them to play Doom in just one week.

> Each CL1 system costs $35,000.

> A rack of 30 units consumes only 850–1,000 watts combined.

> The human brain operates on 20 watts.

> Large AI training clusters burn through megawatts.

>Backed by In-Q-Tel.
115 units began shipping in 2025.

> Cortical Labs is selling “Wetware as a Service” through Cortical Cloud, letting developers deploy code remotely to living human neurons with no lab required,

> priced like a software subscription but powered by real brain cells grown from adult skin and blood samples.

> it isn’t about gaming, it’s about biological computing that could eventually outperform traditional silicon in energy efficiency and adaptability.

This is getting really scary and we’re still at the very beginning.

[Alyssa Hazel, Page Turner @AlysssaHazel]

@InsiderWire Trump: "Marco?"
*from deep inside the white house*
Rubio: *a deep sigh* Polo?

[Matt Shumer @mattshumer_]

https://t.co/ivXRKXJvQg

[Zoya🕊️ @Zoya_ki_batein]

me filling the room with negative energy bc i don’t wanna be there

[Autism Capital 🧩 @AutismCapital]

Tim Dillon dressed up as Epstein's Temple looking for work 😂😂😂

[Bill Ackman @BillAckman]

Very concerning on AI. Worth a read.

[Vintage Rock 🎸 @VintageRockN_85]

Imagine living in 1976 and hearing Boston for the first time!! #Boston #70s

[Danny Deraney @DannyDeraney]

So cool.

53 years ago today, School House Rock Premiered.

Have you ever wondered who the voice was behind your favorite School House Rock songs?

Meet Jack Sheldon and Bob Dorough performing a live rendition of Conjunction Junction.