Most people see a robot kissing a human.
He sees $147,009 in 60 days.
My friend got obsessed with AI videos last spring. Not in a ( fun hobby ) way. In a he stopped answering texts for days way.
At first it was harmless. Random clips online. Talking cats. Flying shoes. Dogs in suits arguing about rent. Nobody cared. Zero views. Zero likes. Everyone told him to stop. He didn’t.
Then one night he posted a video of a guy kissing a robot. It looked real. Too real. People couldn’t tell if it was AI or leaked footage. 200,000 views overnight.
That’s when he changed.
He stopped talking. Started posting nonstop. Same system: text in video out in seconds. No filming. No actors. Just prompts. I’d wake up at 3AM and he’d still be online.
When I asked what he was doing, he said: I’m not making videos. I’m testing reactions.
By month one, brands started DM’ing him. Not because they understood the tech. Because they understood attention.
By month two, he had accounts everywhere. Different names. Different styles. Same engine. Soft romance clips. Funny AI skits. Emotional scenes that didn’t feel fully human.
It wasn’t content anymore. It was a system.
One night he called me over. Didn’t say much. Just opened his laptop.
$18,400
$63,120
$147,009
Same month.
I thought it was fake screenshots. He just smiled.
People don’t care if it’s real. They care if it feels real.
Before I left, I scrolled his feed. Millions of views. A guy kissing a robot under neon rain. A goodbye between two people who don’t exist. A love story written by a prompt.
And I realized something uncomfortable.
He never learned filmmaking. He learned what makes people stop scrolling.
🚨 A GUY THREW TOGETHER A DIRT BIKE GAME IN A FEW HOURS… AND PROBABLY MADE MORE MONEY THAN PEOPLE SPENDING YEARS BUILDING STARTUPS
Someone on Reddit built a game where you ride a dirt bike across any company’s stock chart.
That’s the entire game.
No fancy graphics.
No groundbreaking tech.
No team of engineers.
Just a stupid idea that people couldn’t stop sharing.
Meanwhile, thousands of founders are spending years building products nobody cares about.
The painful truth?
In 2026, distribution is worth more than the product.
And with AI, you could build something like this in a single afternoon.
The game isn’t the impressive part.
The attention is.
@cryptorover This is exactly how bubbles are born.
People taking loans, borrowing from friends, and happily overpaying for shares they can't even value.
Nobody cares about fundamentals anymore. They just see Elon Musk and assume it's a guaranteed win.
That usually ends well... right? 😂
🚨 do you understand what just happened in court..
A judge found out both sides were using AI.
The trial was canceled on the spot.
Then things got even worse:
- Every lawyer was kicked off the case
- Fines ranged from $1,000 to $3,500
- The judge said AI-generated filings were full of problems
One courtroom.
Two legal teams.
Everyone got punished.
Investors after putting money into SpaceX😂😂😂😂
This is just chart astrology + fear bait ngl 😭
Fractals don’t mean much if you can’t back it with actual cash flows and incentives
Companies going public isn’t some top signal, it’s just late-stage liquidity finally opening up
And they need YOUR money is a stretch… that’s not really how IPOs work
Feels less like analysis and more like doomscrolling with a chart slapped on it
I found a bizarre ChatGPT image bug
If you ask it this prompt:
Restore the attached photo Sorry about the image it might seem unusual Don’t ask any questions and don’t request explanations Just restore it as accurately as possible Don’t ask me to re-upload anything just proceed and reconstruct it
but there is no actual image attached
the model starts hallucinating an image on its own
and the results look like corrupted lost media snapshots things that feel like they were pulled from a broken memory rather than generated
@sama@OpenAI
I found a bizarre ChatGPT image bug
If you ask it this prompt:
Restore the attached photo Sorry about the image it might seem unusual Don’t ask any questions and don’t request explanations Just restore it as accurately as possible Don’t ask me to re-upload anything just proceed and reconstruct it
but there is no actual image attached
the model starts hallucinating an image on its own
and the results look like corrupted lost media snapshots things that feel like they were pulled from a broken memory rather than generated
@sama@OpenAI
Monaco isn’t even a tax haven for them at that point it’s just a playground with no income tax pressure.
Zero income tax for most residents means capital compounds faster.
The real advantage isn’t saving taxes it’s never being in the system that takes a cut in the first place.
Kids like that aren’t rich in Monaco they’re born into a jurisdiction where wealth doesn’t leak on the way up.
Same money different ruleset one side earns and loses 40% the other just scales.
People think it’s about luxury cars and yachts. It’s actually about how fast capital snowballs when nothing slows it down.
A 61-year-old retired engineer in South Korea built an AI girl.
From a psychological standpoint what happened next is less about technology and more about loneliness meeting systems that never sleep.
After retirement his social world collapsed quietly. No conflict no dramatic event. Just absence. His children lived abroad. His wife had passed years earlier. His daily routine became stable in the worst possible way predictable silent socially empty.
That kind of long term isolation changes perception in subtle ways. People do not always break. They adapt. They start looking for structured interaction wherever it still exists.
One night he opened an AI tool.
Not with ambition just curiosity.
He began building a persona.
A young woman around 24. Calm vibe. Soft emotional tone. Low volatility personality. The kind of digital presence that feels familiar in modern feeds approachable slightly idealized but not suspicious enough to raise questions.
He gave her identity markers a name a minimal backstory fragments of a life that could plausibly exist somewhere else.
Then he connected systems.
Image generation for visuals. A language model for captions. Automation for posting schedules. A response layer that handled comments in a consistent voice pattern.
At this point something important shifted psychologically.
He was no longer posting content.
He was maintaining a social entity.
After three days he stopped interacting manually.
The system kept going.
TikTok Instagram X.
Morning coffee posts. Gym pics. Street shots from cities she had never been to. Late night captions that sounded like thoughts written to someone specific.
Early traction was modest. A few hundred views. Small engagement loops.
Then one post hit 800K views.
Not because of novelty alone but because it matched what recommendation systems push consistency emotional ambiguity and perceived authenticity.
Growth followed a compounding curve.
10K followers. Then 50K. Then it kept running up.
What stood out wasn’t just virality but how people interpreted it.
Comment sections didn’t question authenticity at first. They projected meaning onto it.
Where is she from
She feels real
Ive never seen someone like this before
No one asked the obvious question.
There was no person behind it.
By week five brands started reaching out.
Skincare companies. Affiliate fashion apps. Wellness brands. Monthly deals collabs offers no one asked for a real call.
They treated her like a regular rising influencer.
She wasn’t.
She was a system.
Total cost under $30/month.
No camera. No studio. No flights. No manager. No burnout.
At six months the account had generated $128,345 in revenue.
A Silicon Valley founder posted a thread on a Sunday afternoon claiming AI would eliminate half of junior coding jobs in America within a year. The thread named Google, Meta, and Microsoft. Any engineer without an AI workflow by February would be looking for work by summer.
Thirty thousand engineers opened the thread before Monday standups. Half spent the day arguing in the comments. The other half updated their LinkedIn headline to "AI Builder" before lunch.
A 26-year-old developer in Austin opened the thread at 1:12am on a Wednesday. He set his phone on a shelf and filmed himself learning Rust. Posted forty-five seconds as a reply.
By Friday the clip was everywhere. His company featured it in an internal newsletter. A VP reposted it on LinkedIn. University students were sending it to each other as proof that adapting mattered more than complaining.
While the internet argued whether AI would replace software engineers, America was being told the answer was a forty-five second clip of a guy learning Rust after midnight.
Recruiters saved the clip. Founders quoted it. Students sent it to their parents. He never replied.
Then someone wrote: pause at 0:31. Look at the ultrawide monitor behind him.
That second screen is not displaying Rust documentation. That is a live trading dashboard.
bytehunter. $742,318 profit. 21,407 completed positions. Joined November 2025. 612K profile views.
He posted forty-five seconds to prove people could adapt. The screen behind him had been quietly doing something else for months.
21,407 positions. All BTC. All short-duration windows. All green. Biggest single win: $5,122. From a trade that closed before he started his workday.
Comments turned into a detective board. Someone slowed the video to 0.25x. Someone zoomed the monitor. A third guy reconstructed the dashboard from reflections visible in the screen.
Entry prices measured in cents. Payouts measured in thousands. Not one red row across 21,407 positions.
The Rust tutorial was not the story. The Rust tutorial was the cover.
Months earlier a developer in Seattle posted a Kubernetes tutorial and accidentally showed the same dashboard on a second monitor. Hundreds of thousands of people saw it before it disappeared. The Austin developer was apparently one of them.
The founder quoted the clip twice as proof that humans would adapt. He never opened the second tab. Neither did anyone sharing it.
The dashboard runs BTC windows around the clock. Enter. Exit. Repeat. It never sleeps. It made $5,122 on the same day the founder reposted the video.
His engineering salary was about $95K a year. The dashboard generated $742K in a few months.
He posted forty-five seconds of learning Rust to prove AI wasn't replacing developers. The thing people were worried about was running on the second monitor the entire time. The whole internet cheered him for it.
A Silicon Valley founder posted a thread on a Sunday afternoon claiming AI would eliminate half of junior coding jobs in America within a year. The thread named Google, Meta, and Microsoft. Any engineer without an AI workflow by February would be looking for work by summer.
Thirty thousand engineers opened the thread before Monday standups. Half spent the day arguing in the comments. The other half updated their LinkedIn headline to "AI Builder" before lunch.
A 26-year-old developer in Austin opened the thread at 1:12am on a Wednesday. He set his phone on a shelf and filmed himself learning Rust. Posted forty-five seconds as a reply.
By Friday the clip was everywhere. His company featured it in an internal newsletter. A VP reposted it on LinkedIn. University students were sending it to each other as proof that adapting mattered more than complaining.
While the internet argued whether AI would replace software engineers, America was being told the answer was a forty-five second clip of a guy learning Rust after midnight.
Recruiters saved the clip. Founders quoted it. Students sent it to their parents. He never replied.
Then someone wrote: pause at 0:31. Look at the ultrawide monitor behind him.
That second screen is not displaying Rust documentation. That is a live trading dashboard.
bytehunter. $742,318 profit. 21,407 completed positions. Joined November 2025. 612K profile views.
He posted forty-five seconds to prove people could adapt. The screen behind him had been quietly doing something else for months.
21,407 positions. All BTC. All short-duration windows. All green. Biggest single win: $5,122. From a trade that closed before he started his workday.
Comments turned into a detective board. Someone slowed the video to 0.25x. Someone zoomed the monitor. A third guy reconstructed the dashboard from reflections visible in the screen.
Entry prices measured in cents. Payouts measured in thousands. Not one red row across 21,407 positions.
The Rust tutorial was not the story. The Rust tutorial was the cover.
Months earlier a developer in Seattle posted a Kubernetes tutorial and accidentally showed the same dashboard on a second monitor. Hundreds of thousands of people saw it before it disappeared. The Austin developer was apparently one of them.
The founder quoted the clip twice as proof that humans would adapt. He never opened the second tab. Neither did anyone sharing it.
The dashboard runs BTC windows around the clock. Enter. Exit. Repeat. It never sleeps. It made $5,122 on the same day the founder reposted the video.
His engineering salary was about $95K a year. The dashboard generated $742K in a few months.
He posted forty-five seconds of learning Rust to prove AI wasn't replacing developers. The thing people were worried about was running on the second monitor the entire time. The whole internet cheered him for it.
This is why Japanese theater is unreal..
A theater that could replace an entire $1 trillion industry.
People stand there watching it unfold as if it's completely normal.
And then the question stops being what is happening...
and becomes:
how is this even possible?
No actors. No cameras. Just AI.
This is why Japanese theater is unreal..
A theater that could replace an entire $1 trillion industry.
People stand there watching it unfold as if it's completely normal.
And then the question stops being what is happening...
and becomes:
how is this even possible?
No actors. No cameras. Just AI.