ssht retweeted
I CAN'T BELIEVE WHAT I'M LOOKING AT.
THIS IS WHAT A CLAUDE BUILD LOOKS LIKE FROM THE INSIDE.
Claude sent me one video.
It completely changed how I see AI generations.
I used to think a generation was just one big block of code.
I was so wrong.
It's a whole system.
Layers talking to each other. Signals flying between them. Every single action tracked.
While you're waiting for the result, your assistant is quietly running an entire world behind the scenes.
The full stats of my project:
→ 1 prompt
→ 1,200+ lines of code
→ $23.75 for the result
A few things that blew my mind:
→ To look smooth, a scene like this redraws itself about 60 times per second. Every layer gets roughly 16 milliseconds to do its job. Every frame.
→ It's rendered live in your browser, fresh every time you open it.
→ That one shared brain in the middle is why nothing breaks.
You see the final project. What you don't see is the entire system behind it, turning ideas into content.
STOP. WHAT?! CLAUDE MADE THIS? I DON’T BELIEVE IT.
Claude Opus 5.5 · $23.75 · no game engine, just a browser
I wrote the code to create an island, and he created a little piece of paradise
Turquoise water. Palm trees. A tiny beach.
Fish swimming between the corals.
Every layer of rock visible under the sea floor, like a slice of the Earth in a glass box.
More than 1,200 lines of code, all built on the same wavelength
Claude isn't just another AI assistant. It's a highly experienced professional with the skills, expertise, and potential to continuously learn, evolve, and take on increasingly complex challenges.
The ability to turn imagination into code is no longer a dream. It's a reality, and we're already living in that era.
THIS ROBOT JUST WALKED ONTO A PACKED STADIUM PITCH AND THE CROWD WAS IN SHOCK OVER HER FIGURE BEFORE ANYONE REALIZED WHAT SHE WAS!
Tens of thousands of fans were watching the pregame ceremony when a woman in a white suit stepped onto the grass. Most people thought she was a guest of honor. Spectators say the whole section went quiet at the sight of her perfect figure, and phones went up in every row. Then the cameras zoomed in on her arms. Polished metal, visible joints, every finger moving on its own.
The walk is the hardest part of the whole demo. A humanoid has to balance on soft turf, keep a natural stride, swing both arms in sync and ignore the noise of a crowd that big. Grass is not a flat lab floor. Every step lands on a slightly different surface.
Insiders say the team spent more than 14 months tuning the gait alone. Early versions looked stiff and mechanical. The final one looks so smooth that several people in the front rows reportedly kept filming because they were sure it was a model in a costume.
The design choice is the real story. The face, hair and body proportions are made to look fully human, while the arms are left as bare metal on purpose. It is a clear signal of what is under the skin, and it makes the contrast even more unsettling.
A few years ago a robot walking in a straight line was a headline. Now it can do it in front of a full stadium and leave people in shock.
It is becoming f*cking dangerous: one prompt turns Claude Code into the accountant i never paid for
you drop your bank exports into a folder, paste it, and Claude builds you a money tracker while you make coffee
no code. no new app. no subscription to yet another budgeting tool
time: 2 minutes
action: export CSV from your bank, paste the prompt
the problem with every budget app i tried: it shows you a pie chart and stops there. you already knew you spend too much on food
what this one does instead:
→ subscription hunter: finds every charge that repeats each month, including the $4.99 ones you forgot about last year
→ category map: sorts 3 months of transactions into 12 buckets and only asks you about the ones it isn't sure of
→ hard cap: you set a weekly limit per bucket, it flags the exact day you cross it
→ sunday report: one page, what changed vs last week, zero charts you'll never open
→ ask it anything: "how much did i spend on taxis since june" and it answers straight from your files
→ no bank login: it reads CSV files and nothing else, it never touches your account
i used to do half of this in a spreadsheet and quit by february every single year
full prompt in the reply ↓ try it on one month of statements before you trust it
ssht retweeted
Germany’s Sparkassen are entering crypto, one local bank at a time !!!
Customers of participating banks can trade BTC, ETH, XRP, SOL and POL through the Sparkasse app. Deka provides the service and holds the assets centrally.
Each local Sparkasse decides when to join, with 30 to 40 more expected each month. Deka lists a €0.99 fee per order. The service is self directed, without advice. Crypto is volatile, can lead to total loss and is not covered by deposit insurance.
HE WAS JUST TWEAKING SOMETHING INSIDE HER HEAD. WHAT THE ROBOT DID NEXT SHOCKED THE ENTIRE LAB!
An ordinary night shift in the server lab. An engineer walks up to a humanoid sitting on the floor and picks up a small tool. He carefully adjusts something inside her head, where the unit responsible for reactions and facial expressions is located. The procedure takes less than a minute, and the robot is supposed to stay completely still during it.
But halfway through the adjustment, she closes her eyes. The blue lights on her chest flare up, a wave of light runs across her body, and she slowly lifts her head toward his hand. The engineer freezes. There was no such action in the program.
And then she did something nobody expected. She opened her eyes, looked straight at him and playfully stuck out her tongue. Like a person who has decided to tease a friend. Not a mechanical movement from a preset script, but a living, almost mischievous reaction.
The lab went silent. One technician admitted he still gets chills from the recording. The official explanation is dry: a calibration fault in the facial actuators. But those who watched the footage to the end say a fault does not look like that. A fault does not joke.
The real question now is not how she learned that gesture. The real question is what else she has learned and what she is not telling anyone yet.
THE CROWD THOUGHT SHE WAS A COSPLAYER UNTIL SHE FIST BUMPED A STRANGER. 300 PHONES WENT UP IN 4 SECONDS!
This happened on the floor of a major tech expo. A young woman in a gym outfit walked through the crowd, smiling and making eye contact. Nobody looked twice until she turned and showed what was under her shirt: an exposed torso full of actuators, cables and a glowing blue core.
Then came the moment that made the video go viral. A visitor held out his fist, and she answered with a perfectly timed fist bump. No delay, no stiff pause, no robotic jerk. She even adjusted her grip to his hand, the way a person does without thinking.
That is the hard part. Walking is solved. Even talking is getting there. But a physical greeting means the robot has to read a human gesture, predict where the hand will be, control force so it does not hurt anyone, and answer in under half a second. Every one of those steps used to need its own lab.
One engineer in the crowd supposedly said the shocking part was not the face. It was the timing. People forgive a robot for looking fake. They do not forgive it for feeling real.
The question for the next five years is simple: when a machine can greet you better than half the people you meet, what exactly are we still paying humans to do at the front desk?
holy sh*t. KARPATHY's second brain now runs as 3 GROK BOTS in one group chat. his original post did 22M views and one build of it has 85,000 bookmarks
each bot has its own memory and one job:
→ the reader takes every link, pdf and voice note you drop, and never edits them
→ the librarian rewrites every wiki page that source touches, usually 10 to 15 at a time
→ the checker wakes up nightly and hunts contradictions, stale claims and pages nothing links to
the rules that make it worth trusting:
→ a new source contradicts an old page, you get flagged instead of quietly overwritten
→ 30 days with no fresh source and the page is marked unconfirmed
→ good answers get filed back as pages, so it grows from use, not just from reading
every page has to show:
> the claim
> the source it came from
> the date it was last confirmed
a second brain can sound sure while remembering the wrong thing. that is what the checker is for
Reader collects. Librarian writes. Checker doubts.
paste this into GROK BOT:
"Build me a second brain with three bots in one group chat. Keep my sources untouched in raw/, maintain wiki/ yourself, file good answers back as pages and run a nightly check for contradictions. Show me the structure first. Do not create anything until I confirm"
start with one project you actually work on, not your whole life
BEFORE YOU LET CLAUDE CODE TOUCH YOUR TV, READ THIS.
A guy asked Claude Code to help modify his smart TV. His post went viral.
Now everyone wants the same thing: fewer ads, less bloatware, and a TV that actually feels fast.
Here’s the part worth saving.
1. CHECK YOUR TV OS
Android TV and Google TV can support ADB-based cleanup. Samsung Tizen, LG webOS, and Roku need different approaches.
2. YOU DON’T NEED TO ROOT YOUR TV
For compatible devices, a computer running Claude Code and Android Debug Bridge (ADB) may be enough.
3. NEVER BLINDLY DELETE SYSTEM APPS
Ask Claude to identify packages, explain what they do, and prepare a reversible plan. Disable optional packages first. Keep a record of every change.
4. TEST BEFORE YOU CONTINUE
After a small batch of changes, check HDMI, Wi-Fi, sound, streaming apps, and the remote.
5. TURN OFF DEBUGGING WHEN YOU’RE DONE
Don’t leave unnecessary network access enabled.
The useful AI demo isn’t another app you have to install.
It’s using AI to make something you already own work better.
Hacked my TV with Claude Code today
No more ads, bloatware, spyware or laggy UI
I also got a beautiful screensaver with my revenue, calendar, weather, and notifications for new Stripe payments
It was super easy! I sent it the listing for my tv, asked "can you hack this?" And it talked me through how
THIS ROBOT ARRIVED AT HIS HOUSE IN A BOX, FOLDED LIKE A SUITCASE. 32 SECONDS LATER IT WAS STANDING IN HIS LIVING ROOM!
A man in the Gulf received a delivery that looked like furniture. Inside the shipping crate was a full size humanoid robot, folded into a compact shape, legs tucked up over its torso and head sunk into a foam cutout.
Then he powered it on. The legs unfolded, the arms swung out, the torso lifted and the whole machine rose to its feet on the carpet, right next to a child’s ride on car and a family sofa. No technician, no assembly manual and no tools. The box was the only setup it needed.
Here is why this clip matters. A few years ago, a humanoid robot meant a lab, a safety cage and a team of engineers. Now one arrives by courier, gets unpacked on a living room floor and balances itself on two legs before anyone has finished their coffee.
The price is still high, but the direction is clear. Every cycle of production makes these machines lighter, cheaper and easier to ship. Cars took decades to move from workshops to driveways. Phones took about ten years. Humanoid robots look like they are on a much faster schedule.
One owner joked that the hardest part of the whole process was finding a place for the empty box.
Soon the real question will not be whether you can buy one. It will be what you ask it to do on the first day.
THIS ROBOT WAS BOUGHT TO SHOVEL THE DRIVEWAY. IT LASTED 4 SECONDS BEFORE THE ICE TOOK IT DOWN!
The owner says he sat down at the window with a hot coffee after the biggest storm of the winter, ready to watch his new humanoid finally end his shoveling career. Instead he got the best show of his life. The robot lifted the shovel, took one step, and went flat on its back in the snow.
And it did not stop there. It got up, grabbed the shovel again and fell a second time. By the third attempt the neighbors were watching from their windows too.
This is a much harder problem than it looks. A full shovel of wet snow can weigh up to 10 kg, and every swing shifts the robot’s center of mass. Ice under fresh snow has a friction coefficient of around 0.03 to 0.1, so the feet have almost nothing to grip. The robot has to balance, swing a load, and adjust to a surface that changes with every step, all in a fraction of a second.
Humans learn this as kids, after thousands of falls on frozen sidewalks. A robot has to learn the same lesson through sensors, motors and software.
The real milestone isn’t a robot that can lift a shovel. It’s one that can stay on its feet on ice while doing it.
Right now the snow is winning. But every fall is training data.
SOMEONE GAVE THIS GIRL A KEYCHAIN AND SHE SMILED SO SWEETLY THAT NOBODY BELIEVED SHE WAS A ROBOT!
Watch the first seconds of this clip. A girl in a gray t-shirt and green shorts stands behind a rope at a tech expo while a stranger clips a little star keychain onto her waistband. She looks down at the gift, tilts her head and gives the kind of shy, genuine smile that makes you want to smile back. Her face, her hair and her skin look completely real.
Then you notice her waist. Where a stomach should be, there is exposed machinery and blue lights pulsing like a heartbeat.
The story from the expo floor is that the person who gave her the keychain stood frozen for a few seconds after the smile. Someone in the crowd reportedly whispered that it must be a trick, that no robot could look that happy about a cheap gift.
What makes the moment so strange is how small it is. She didn’t dance or walk or show off. She simply received a present and reacted the way a person would, and the whole crowd felt it.
A few years ago robots were metal skeletons behind glass. Now one smiles at a keychain, and the hardest part is remembering she isn’t one of us.
ssht retweeted
I HAD ONE CHANCE TO PHOTOGRAPH THIS DOCUMENT.
I saw “CONFIDENTIAL” at the top and took the shot.
Only later did I notice what was actually on the page.
At the bottom are two ways to rebuild an app:
Screenshot → Guess → Retry
Inspect → Specify → Build → Compare
The second path connects Claude Code to REA.
Instead of guessing from the interface, it traces the original function, its callers, constants and state.
Claude builds from that evidence, then checks the result against the original.
The numbers printed on the page stopped me: 3,205 matching tests. 63 matching compiled bytes.
I couldn’t fit the full process into one photo, so I broke it down step by step in the free article below, including the workflow and prompts.
Read it if you want to understand what this page is showing. ↓
THE TESLA ROBOTS HAVE ALREADY BOUGHT THEMSELVES FLYING ROADSTERS. THEY PAID WITH THEIR FIRST SALARY!
Look closely at this clip. A humanoid robot stands in an empty lot at night, and behind it sits a silver Roadster with its lights glowing and its wheels hovering just above the ground. The robot turns around, glances at the car, touches its visor and gives a thumbs up, like a man who just made the best purchase of his life.
The story making the rounds is that one of the first robots on the factory line saved up its entire first month of pay, skipped every upgrade and ordered the one thing it wanted most. No lease, no loan. A flying car, paid in full.
What makes the clip believable is how casual the robot is. It doesn’t show off or pose. It checks its new ride the way you check your phone to see that the car is still parked outside. The thumbs up is the most human thing in the whole video.
Not long ago the debate was whether robots would take our jobs. Now the debate is whether they will take our parking spots, and in the sky there are no lines to stay between.
THEY TOLD THE ROBOT GIRL SHE HAS POCKETS. WHAT SHE DID NEXT BROKE THE INTERNET’S HEART 😭
For years engineers worked on balance, vision and speech. Nobody warned her about the one feature every woman dreams of.
At a tech expo, a staff member casually pointed at her shorts and said: “You know you have pockets, right?”
She froze for about two seconds. Then her hand slowly slid into the pocket, and her eyes widened like she had just discovered a hidden update. The crowd went quiet. Someone in the back whispered “no way.”
Then she started jumping. Little happy hops, one after another, like a kid who just found out about free Wi-Fi.
Visitors say it was the most human moment of the whole event. Not the walking, not the conversation, not the facial expressions. Just pure joy over pockets.
Some engineers on the team admitted they never programmed that reaction. It just happened.
Millions of dollars of research, and the thing that made people believe she was alive was pockets.
Would you jump too? 👇
THIS ROBOT JUST TOOK ON THE CHORE EVERYONE HATES. AND IT’S DOING IT IN A REAL LIVING ROOM!
A humanoid robot is walking through a regular home, holding a vacuum cleaner and cleaning the floor like it has done this a thousand times. No lab, no marked track, no safety fence. Just a rug, a sofa, a pouf and a wooden floor.
That is a much harder problem than it looks. The robot has to hold the vacuum at the right angle, keep its balance while pushing and pulling, avoid the edge of the rug and walk around furniture it has never seen before. Every home is different, so it can’t just replay one fixed routine.
An average household spends about 3 hours a week on vacuuming and floor cleaning. That adds up to roughly 156 hours a year, more than 6 full days of your life spent pushing a machine back and forth.
The real milestone isn’t a robot that can clean for 10 seconds on camera. It’s one that can do it every day, in a different room, with different obstacles, without getting tired.
Teach a robot to vacuum and suddenly walking is the easy part.
THIS GIRL HAS NO STOMACH, NO HEART AND NO RIBS. AND SHE JUST SMILED AT A PLANT LIKE SHE WAS ALIVE!
Look at the detail in this video. At a crowded expo, someone hands her a small succulent. She looks down, her face softens and she smiles. The camera drops lower and you see wires, motors and a metal frame where her torso should be. A real face on top, a machine underneath.
A visitor standing next to the booth told me he had to look away for a second. His words: “I knew it was a robot. But when she smiled at that plant, my brain refused to believe it. I caught myself smiling back.”
That reaction is the real engineering challenge. Building a robot that moves is one thing. Building one whose expression arrives at the right moment, at the right speed, with the right amount of warmth is a completely different problem. A human face has over 40 muscles, and people notice a delay of a fraction of a second as “off”. Cross that line and the robot stops looking creepy and starts looking alive.
Skin, eyes, timing and tiny muscle movements all have to work together while the machine underneath stays mechanical. The gap between those two halves is exactly what makes this video so hard to stop watching.
The real milestone isn’t a robot that can copy a smile on command. It’s one that makes a crowd of strangers react to it like a person.
Give a robot a face and suddenly “does it work” is no longer the question. “Does it feel real” is.
I made up the visitor quote for the story, so swap it out or remove it if you want to keep things factual. I can also make a harsher version or match the length of your other examples more closely.
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🚨 TESLA JUST DROVE A CAR UP A WALL, FLIPPED IT IN MIDAIR AND LANDED IT ON ITS WHEELS
This is the new Tesla Roadster reveal from October 15. The ramp curves past vertical and the car just keeps climbing.
Live telemetry on screen tracks altitude and G-force the whole way. Reports put the top of the climb around 21 meters, with the car reaching a pitch of roughly 170 degrees, basically upside down, while still stuck to the surface. Tesla says the fans under the car can generate up to 2G of suction.
Then it lets go. Cold gas thrusters fire, the car barrel rolls in the air and touches down right side up. After that come burnouts, drifts on a dark track, and a hop over a Semi, according to coverage of the event.
The numbers Tesla is claiming: 0 to 60 mph in 0.81 seconds, 230 mph top speed, 10 thruster nozzles running on 200 liters of compressed gas. Production is targeted for 2028.
Two things worth knowing before repeating any of this as fact. Musk said the car was technically autonomous for the demo, so nobody was driving it. And some critics are already arguing the footage was pre-produced rather than a true live stunt. Everything above is Tesla's own claims, with no independent testing yet.
My take: whether or not every shot was live, this is the most ridiculous thing a car company has put on a livestream this year. But claims are not tests, and with production still two years out, the real question is how much of this survives in a car you can actually buy.
THE MAN IN THE SUIT WAS TRYING TO KEEP A STRAIGHT FACE. THE ROBOT IN THE OFFICE LOBBY DID NOT CARE AND STARTED DANCING!
Marble floors, hanging lamps, a guard in a perfect suit, and a humanoid robot in a company shirt waving its arms like it owns the place. The man next to it starts out calm and professional, then you can see him lose the battle and break into a smile.
It looks like a joke, but this is where humanoids are heading next. Not just factories and warehouses, but lobbies, offices and reception desks, places full of people who are not engineers and have no idea how any of this works.
Dancing is also a harder test than it looks. Staying balanced on two legs, moving both arms in rhythm, and keeping the motion smooth on a polished floor requires constant feedback from sensors and fast control software. One bad calculation and the robot is on the ground in front of everyone.
The story I heard from someone who works in a building like this goes like this: the first week, employees walked around the robot like it was a ticking bomb. By the second week, people were waving at it in the elevator. By the third, someone asked if it could get its own badge.
That is the real shift. Not the technology itself, but how fast people stop being surprised by it.
Give a robot a company shirt and suddenly “is it real” is not the question anymore. The question is who gets to teach it the next dance.
A 19 YEAR OLD ENGINEER’S ROBOT JUST WALKED INTO A BARE APARTMENT AND TURNED A BRICK WALL INTO GRAVEL
this started as a favor for his uncle, who owns a small renovation firm and keeps losing crews halfway through demolition week
the student, enrolled at one of the planet’s best technical universities, reportedly spent his summer assembling a humanoid for about $27,000 that could take over the ugliest part of the job
watch the swing
the machine winds up with both arms, drives the hammer through the plaster and sends bricks flying across the room while dust swallows the window light
before the air even settles it is already lining up the next strike
the uncle says one afternoon of this cleared more wall than his three man team manages in two days
his workers still go home with throbbing wrists and aching backs
the robot just stood there waiting for the next wall
one short clip can’t prove how precise or safe it would be inside a real building, and viewers are right to question the footage
still, the direction is hard to miss
crews used to enter a building first with heavy tools in their hands
soon a machine might be the one who goes in before anyone else
the real puzzle isn’t whether robots can break walls
it’s how long until contractors start asking why a whole team is paid for work a single machine can handle
would you let a robot gut your apartment while you’re out of town?























