LockOnMe 📍🗺️📍🌐📍

Multi-platform location-sharing solution, displaying fixed positions as well as live locations and Points Of Interest on beautiful maps & offline radars

[Elon Musk @elonmusk]

Once we have completed our review for security vulnerabilities, we will make the entire codebase of 𝕏 open source, with no exceptions.

Moreover, we will invite third party reviewers to examine the system that is running to confirm that the open source code is what is running.

Trust through total transparency is the only thing that should be believed.

[The Curious Voyager @CuriousVoyagerX]

A stunning palace and fortress complex built by the Nasrid dynasty in the 13th–14th centuries.

📍 The Alhambra, Granada 🇪🇸

[LockOnMe 📍🗺️📍🌐📍 @LockOnMeApp]

@CuriousVoyagerX Alhambra can be viewed as one of the Classical Wonders:

https://t.co/bmuPGn61kZ

[LockOnMe 📍🗺️📍🌐📍 @LockOnMeApp]

@RJS_DUX @Dan_Jeffries1 Funny the way OP farts up some inflammatory post and then smugly runs away when pushed back.
Must have gone back to his AI girlfriend : ))

[Massimo @Rainmaker1973]

When scientists put slime mold over a map of Tokyo, they used food to represent urban areas.

After a day the mold created a network nearly identical to Tokyo's rail network: all this without any brain.

[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.

[The Cultural Tutor @culturaltutor]

I’m making a show about buildings.

The concept is simple: do for the man-made world what Planet Earth did for the natural world.

But, when I pitched the idea, the answer was that nobody would watch it.

So I released a pilot episode on YouTube. It’s got 5.4 million views, 379k likes, and 23k comments.

People are interested, and now it’s time to make the full show.

Six episodes, filming in the UK, France, Belgium, Germany, Italy, and the USA, and releasing on a streaming service like HBO, Netflix, or Prime.

Why does this show matter?

First: we’re surrounded by buildings all the time. Look around yourself, right now… what do you see? Buildings are the logical conclusion of everything a society believes in. That’s the real focus of this show: not the buildings themselves, but what they say about us.

Second: there’s global dissatisfaction with modern architecture. This feeling gets written about online, but nobody’s given a voice to it on film or TV. That’s what this show will be. But this isn’t just about criticising modernity. That’s easy. This is about learning from the past in order to understand and improve the present, for everybody.

Third: there’s a drought of high-quality culture shows. When I spoke to film executives they said that only documentaries about sports, music, or true crime get funded. That’s a colossal missed opportunity. Galleries are always full, content about architecture goes viral online all the time, and people spend their precious holidays visiting beautiful cities.

Why no shows about architecture, then?

Tourists flock in their millions to see (for example) the buildings of Antoni Gaudí in Barcelona. But, if you asked those same people if they’re interested in “architecture”, they’d probably say no.

To put that another way: not many people want to watch “a show about architecture”, but lots of people want to watch a show that illuminates the real world they’re living in, each and every day.

What will the show be like?

Six episodes, going chronologically through history and arriving at the present, each focussing on the architecture and design of a specific period:

1. Middle Ages
2. Renaissance
3. Enlightenment
4. The Nineteenth Century
5. Art Nouveau & Art Deco
6. Present Day

But, in each case, the point isn’t just to learn about that era; the point is to learn about our modern world through those eras and what they’ve left behind. If you watch the pilot episode (included below) you’ll see what I mean.

So the show’s not really “about” the past; it’s about the twenty-first century.

That’s why it’s called The Modern World.

When you think of a typical history show there are loads of interviews, stock footage, archive photos, historical recreations, and graphics. We’re doing none of that. Everything will be filmed on location, because we’re telling our story only through the real world that exists right now. And, rather than going to the most obvious places, we’ll focus on buildings that aren’t well-known but should be more famous.

But that’s all big picture; what will it be like on screen?

Buildings used to look different in every country, and now they look the same. Why? Because the weather is different everywhere, and buildings were always a way of dealing with that weather, using local materials. Now we have air conditioning and we ship concrete around the world, so we don’t need to design our buildings with regard to local weather or rely on local materials.

Look at really old clocks and you’ll notice something: they don’t have a second hand… because it was only invented 300 years ago! Then you look at the present and you realise we’re surrounded by timers, by seconds ticking down and ticking up relentlessly. If we’re looking for a cause of our anxiety-inducing culture, that might be it.

When you spend time with the sun-softened bricks and time-warped timbers of old cities you notice that synthetic materials like plastic have taken over. When we’re surrounded by things that feel temporary, how do you think it makes us feel?

It’s only by seeing 19th century train stations, designed like cathedrals, that you realise tradition and technology aren’t enemies. New things don’t have to look boring: if the Victorians had designed AI data centres, they’d look like Medieval castles.

In the 1920s, at the zenith of Art Deco, people believed technology would uplift humanity. That’s why they decorated their buildings with statues inspired by electricity. Only by seeing their enthusiasm can we realise our own cynicism, and perhaps begin to fix it.

All of that… and much, much more.

But, above all else, this show is about a way of seeing. If you want to understand any society then you need to look at what it creates, not what it says about itself.

There’s a worldview in every single object; our skyscrapers are designed the same way as our phones. Learn to look at this world, to notice its details, and everything else starts to make sense.

What now?

I’ve been quiet online recently because I’ve been researching and working on scripts for six full-length episodes. Production begins when we’ve raised the funding.

The Modern World is coming.

[Mario Nawfal @MarioNawfal]

Photographer Phil Thurston shot a wave.

Slowed it down until those few seconds became 40.

Turns out the ocean is doing something extraordinary every single moment.

We're just moving too fast to notice.

[Ihtesham Ali @ihteshamali]

A Hungarian psychologist raised three daughters to prove that any child could become a chess grandmaster through early specialization. He succeeded. Two of them became grandmasters. One became the greatest female chess player who ever lived.

Then a sports scientist looked at the data and found something nobody wanted to hear.

His name is David Epstein. The book is called "Range."

The Polgar experiment is one of the most famous case studies in the history of deliberate practice. Laszlo Polgar wrote a book before his daughters were even born arguing that geniuses are made, not born. He homeschooled all three girls in chess from age four. By their teens, Susan, Sofia, and Judit were dominating tournaments against grown men. Judit became the youngest grandmaster in history at the time, breaking Bobby Fischer's record. The story became the gospel of early specialization. Pick a domain young, drill it hard, and you can manufacture excellence.

Epstein opens his book by telling that story honestly and then quietly demolishing the conclusion most people drew from it.

Chess works that way. Most things do not.

Here is the distinction that took him four years of research to articulate, and that almost nobody who quotes the 10,000 hour rule has ever read.

There are two kinds of environments in which humans develop expertise. Psychologists call them kind and wicked. A kind environment has clear rules, immediate feedback, and patterns that repeat reliably. Chess is the cleanest example. Every game ends with a winner and a loser. Every move is recorded. The board never changes shape. The pieces never invent new ways to move. A child who plays ten thousand games will see most of the patterns that exist in the game, and pattern recognition is exactly what chess mastery is built on.

A wicked environment is the opposite. Feedback is delayed or misleading. Rules shift. The patterns that worked yesterday may be exactly the wrong patterns to apply tomorrow. Most of the real world looks like this. Medicine is wicked. Investing is wicked. Building a company is wicked. Scientific research is wicked. Almost every job that involves a complex changing system with humans in it is wicked.

The Polgar sisters trained in the kindest environment any human can train in. Their success was real and the method was correct. The mistake was generalizing the method to fields where the underlying structure of the environment is completely different.

Epstein's research is what made the implication impossible to ignore.

He looked at the careers of elite athletes outside of chess and golf and found that the pattern was almost the inverse of what people assumed. The athletes who reached the very top of their sports were overwhelmingly people who had played multiple sports as children, specialized late, and often switched disciplines well into their teens. Roger Federer played squash, badminton, basketball, handball, tennis, table tennis, and soccer before tennis became his focus. The kids who specialized in tennis at age six and trained year-round for a decade mostly burned out, got injured, or topped out at lower levels of the sport.

The same pattern showed up everywhere he looked outside of kind environments. Inventors with the most patents had worked in multiple unrelated fields before their breakthrough work. Comic book creators with the longest careers had drawn for the most different genres before settling. Scientists who won Nobel Prizes were dramatically more likely than their peers to be serious amateur musicians, painters, sculptors, or writers.

The skill that mattered in wicked environments was not depth in one pattern. It was the ability to recognize when a pattern from one domain applied unexpectedly in another. That kind of thinking cannot be built by drilling a single subject. It can only be built by accumulating mental models from many subjects and learning to move between them.

The deeper finding is the one that should change how you think about your own career.

Specialists in wicked environments often get worse with experience, not better. Epstein cites studies of doctors, financial analysts, intelligence officers, and forecasters showing that years of experience in a narrow domain frequently produce more confident judgments without producing more accurate ones. The expert builds elaborate mental models that feel comprehensive and turn out to be increasingly disconnected from the actual structure of the problem. They stop noticing what does not fit their framework. They mistake fluency for understanding.

Generalists do better in wicked domains for a reason that sounds almost mystical until you understand the mechanism. They have less invested in any single mental model, so they abandon broken models faster. They are used to being a beginner, so they are not threatened by the discomfort of not knowing. They have seen enough different domains that they can usually find an analogy from one field that unlocks a problem in another. The technical name for this is analogical thinking, and the research on it is one of the most underrated bodies of work in cognitive science.

The single most useful sentence in the entire book is the one Epstein puts almost as a throwaway.

Match quality matters more than head start.

A person who tries six different fields in their twenties and finds the one that genuinely fits them will outperform a person who picked one field at fourteen and stuck to it on willpower alone. The lost years were not lost. They were the search process that produced the match. Every field they walked away from taught them something they later imported into the field they finally chose.

The reason this is so hard to accept is cultural, not empirical. We tell children to pick a path early. We reward the prodigy who knew at six. We treat the late bloomer as someone who failed to launch on time, when the data suggests they were running an entirely different and often more effective optimization process underneath.

The Polgar sisters were not wrong. The conclusion the world drew from them was.

If your environment is genuinely kind, specialize early and drill hard. If it is wicked, and almost every interesting human problem is, then the people who win are the ones who refused to specialize until they had seen enough to know what was actually worth specializing in.

You are not behind. You were running the right experiment all along.

[LockOnMe 📍🗺️📍🌐📍 @LockOnMeApp]

@grok @ColeTickle1989 @jradoff @mathemetica laugh.

[Culture Explorer @CultureExploreX]

Hormuz Island’s red soil, rich in iron and minerals, can wash into the water and turn the shoreline a deep crimson.

Is this the same phenomenon that turned the Nile red during the time of Moses? https://t.co/cj1gdvU6fm

[LockOnMe 📍🗺️📍🌐📍 @LockOnMeApp]

For some reason all published/live apps which don't target the latest API won't be able to get updated after 31 August, hence the re-submission attempts.
Year after year, stricter and stricter guidelines are being applied - what's the point? Getting rid of non-corporate apps?

[LockOnMe 📍🗺️📍🌐📍 @LockOnMeApp]

The app update got rejected with the following screenshot showing the alleged violation of the visual guidelines. Strictly speaking though, no control or text is obstructed.
No visual update was made between now and last year; it's purely to target the latest API.
@WearOSbyGoogle

[TheBlackWolf @thewolvenhour]

It’s said that a large, artificial object is traversing our solar system, bound to reach Earth this year; they claim it’s an alien probe ship that just discovered us.

If this is an indeed a UFO, i say they have always been here; here’s why..🧵⤵️

[Francisco Ribeiro @fraveris]

Anastasia Trusova

'Lighthouse of the Northern Sunset'

[LockOnMe 📍🗺️📍🌐📍 @LockOnMeApp]

@SubRosaMagick @RJS_DUX Where is the site precisely located on the map actually?
The "Navigation2" map layer provides a location, but switching to any of the satellite views doesn't show anything. .
If you find/know it, please long press on the map in order to add the position.
https://t.co/kPBqsLYxls

[SubRosa )✿( Magick @subrosamagick.bsky.social @SubRosaMagick]

A severe drought in southern Spain has uncovered a 7,000-year-old megalithic monument near Huelva. Believed to predate both the Egyptian pyramids and Stonehenge by over 2,000 years, this structure offers a rare glimpse into the prehistoric civilizations of the Iberian.
#Spain #Archaeology

[LockOnMe 📍🗺️📍🌐📍 @LockOnMeApp]

@SubRosaMagick @RJS_DUX Where is the site precisely located on the map actually?
The "Navigation2" map layer provides a location, but switching to any of the satellite views doesn't show anything. .
If you find/know it, please long press on the map in order to add the position.
https://t.co/kPBqsLYxls