robots entering the real world. humanoids, factories, what actually ships.
Joined May 2026
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CLOCKED IN TO SWEEP LEAVES. ENDED UP IN GTA. 🤖🚔
A little robot is calmly cleaning the street with police lights flashing behind it. Looks like it just robbed a bank but decided to sweep up on the getaway route 😭
Imagine its end-of-shift report:
Leaves cleared.
Route completed.
Reason for pursuit unknown.
We were promised robots would take over boring jobs. This one apparently picked up a side mission too 😂
I’D TRADE ANOTHER ROBOT BACKFLIP FOR A FOLDED PILE OF LAUNDRY.
In this demonstration, Dyna Robotics’ Taku loads washers and dryers, takes out towels, folds them, and puts them on shelves.
The sequence is what interests me most. Folding one towel is only part of the job. Real help begins when someone doesn’t have to stand beside the robot guiding every next step.
For a laundry worker, this could mean less bending, carrying, and repeating the same movements throughout a shift.
This is still a manufacturer’s demonstration. The next test is how reliably Taku can handle an ordinary working day.
I want to see more robots like this. Because after a hard shift, people should still have energy left for their own lives.
ROBOTS ARE ALREADY PLAYING DOUBLES TABLE TENNIS.
The challenge goes beyond hitting the ball: they need to move aside, give their partner room, and prepare for the next shot.
That coordination is what interests me. Similar skills could help robots work alongside people: carrying something together, handing over objects, and coordinating movements in tight spaces.
A game of table tennis doesn’t prove they’re ready for those jobs. But it offers an interesting way to test quick reactions and teamwork.
I want robots that people can feel comfortable working beside, just as they would with a good teammate.
A ROBOT IS STANDING AT AN INTERSECTION IN THE POURING RAIN.
In Hangzhou, DEEP Robotics is testing its DR02 humanoid: giving traffic signals, reminding drivers and pedestrians about road rules, and answering questions from passersby.
What interests me most is how this could make people’s jobs easier.
Spending hours in the rain beside moving traffic, watching the road and repeating the same warnings, is exhausting work. If a robot can reliably take on some of those duties, officers could give more time and attention to accidents, helping people, and situations that need human judgment.
These are still trials. Its reliability in unpredictable traffic remains to be proven.
But this is the kind of progress I want from robotics: helping someone finish their shift less exhausted and get home safely.
A STEP FOR A HUMAN. A WHOLE OBSTACLE FOR A ROBOT.
In this video, PNDbotics’ humanoid Adam climbs onto a platform: planting a foot, shifting its weight, and pulling its body up while maintaining balance.
But what interests me is how that ability could help people.
Our world doesn’t have flat floors everywhere. An accident can leave a passage blocked. Industrial equipment can sit on a raised platform. Inspecting a hazardous area may require climbing over an obstacle.
If a robot can reliably navigate those places, it could bring a camera, sensor, or tool closer while a person operates it from a safer distance.
This is still a lab demonstration with a safety tether. Reliability among real debris remains to be proven.
But I like the direction. The value of this movement is the possibility that, one day, a person won’t have to climb into danger themselves.
“That robot is too expensive.”
Is sending a person who might never return somehow cheaper?
In war, even delivering water or evacuating the wounded can cost a life. If a robot can do that work and reduce the danger people face, that needs to be part of the conversation about its price.
Of course, the machine has to be reliable. An impressive video alone isn’t enough to trust it with someone’s rescue.
But to me, spending on equipment that helps people get home alive is justified. A robot can be replaced. The person someone is waiting for at home cannot.
CHQ retweeted
CLAUDE HAIKU 5.5 JUST DID ALMOST THE SAME JOB AS OPUS 5.5 FOR 5X LESS.
Both models received the same task: build an interactive 3D scene featuring a ship, bridge, lanterns, and a complete day-night cycle.
The cost:
Claude Opus 5.5 - $26.84
Claude Haiku 5.5 - $5.31
Opus created the stronger atmosphere. The lanterns feel warmer, the night scene has more depth, and the environment contains more subtle details.
But Haiku preserved everything that mattered: the same ship, bridge, movement, lighting, and changing time of day.
The difference in visual quality is real.
But is it large enough to justify paying five times more?
For a final polished product, Opus may still be the better choice.
For prototypes, testing, and rapid iteration, Haiku looks far more practical.
AI is not only becoming more capable.
It is becoming cheap enough to experiment with complex 3D ideas without burning the entire budget.
ROBOTS HAVEN’T TAKEN OUR JOBS YET. BUT ONE IS ALREADY ASKING HUMANS TO PAY ITS ELECTRICITY BILL.
A humanoid robot is kneeling in the middle of a street in China.
There’s a donation bowl in front of it. A sign on its chest. And a QR code for people who no longer carry cash.
Through a speaker, it asks passersby to help pay for its next charge.
It doesn’t need food, clothes, or somewhere to sleep.
It only needs electricity to stand up and keep working.
And people stop. They film it. Some of them leave money.
We built humanoids to teach them how to work like humans.
This one has already learned something far more difficult - how to make humans feel sympathy for a machine.
To me, that is the most important part of this video. The robot has barely done anything, yet people are no longer reacting to it like a piece of technology.
They are reacting to it like someone who needs help.
19 ROBOTS WALKED ONTO THE STAGE. NOT A SINGLE OPERATOR STOOD BESIDE THEM.
They weren’t simply repeating the same prerecorded dance.
The robots moved alongside human dancers, maintained their distance, synchronized their steps, and changed formations throughout the performance.
Everything happened in real time before an audience of more than 10,000 people.
This was a fully autonomous cluster of 19 Unitree humanoids.
Not long ago, a single robot would be brought onto a stage as the main technological attraction.
Now, nineteen of them can appear at once, and they no longer look like guests among humans. They become part of the performance itself.
In my opinion, the most important thing here isn’t that robots have learned to dance.
It’s that they have learned to act together - not only with one another, but alongside humans.
This is how robots will enter our lives. Not through one dramatic breakthrough, but at the moment we stop noticing that they are already standing beside us.
CHQ retweeted
Before paying for another prompting course, watch this.
An engineer behind Claude Code breaks down how to use it more effectively in just 28 minutes: CLAUDE.md files, shortcuts, parallel sessions, and practical prompting techniques.
These are the details that often get buried beneath big promises to “teach you AI.”
Here, you can see how someone who knows the product from the inside organizes their workflow and pick up ideas for your own tasks.
Free, all in one video. If you use Claude Code or plan to try it, save this 👇
Everyone’s asking whether a robot could take their job.
What if it could take the heavy bags out of their hands?
A mother carrying a toddler and groceries doesn’t need much. Just someone to stop, pick up a bag, and give her enough room to hold her child comfortably.
That’s the future I wanted to explore in this AI-generated scene.
We often judge humanoid robots by how fast they run or how much they can lift. I’m more interested in what that strength could mean on an ordinary sidewalk, for someone who needs a hand.
A moment like this would do more to make me welcome a robot into everyday life than another backflip.
Would you accept its help?
CHQ retweeted
Draw a mechanism on paper. Then watch it work before you’ve built a single part.
This is what caught my attention about Claude.
A trebuchet sketch becomes a 3D scene. The counterweight drops, the arm launches a ball, and wooden blocks scatter across the table. You can change the weight, adjust the throw, switch to slow motion, and watch from another angle.
Claude writes the code behind that scene: the model, the movement, the controls, and the simplified physics. Your idea becomes something you can actually interact with.
After seeing the demo, a separate test was run. Claude built a working scene with an automated tour and manual controls. The initial camera angle needed adjusting, but then the mechanism could be launched and its settings changed.
That’s where it gets interesting for me.
When a design only exists on paper, plenty of questions remain abstract. What happens if the counterweight gets heavier? Where does the ball land? How does the tower react to the impact?
With Claude, you can start exploring those questions inside the scene. Simplified physics doesn’t prove the real construction will behave exactly the same way. But it gives you a faster way to explore the idea and figure out what needs testing next.
The part that sticks with me: you haven’t built anything yet, but you’re already experimenting.
Today, Claude brings a tabletop trebuchet to life. What idea would you want to test next?
Some days I get home so tired I don’t even want to fill the cat’s bowl. Never mind the laundry or the counter. I just want to sit down and not be asked for anything.
The stuff doesn’t disappear. Meeting in 20 minutes, a bottle still in the fridge, yesterday’s coffee on the table, clothes still in the basket.
A robot just does it. Grabs the bottle, opens it with both hands, wipes the counter, loads the washer, pours the food. No mood. No “I’ll get up in a minute.”
It’s Booster T2, a demo, not my morning. I’d still hand it over without thinking. Not because I can’t. Because some days the small things are the ones I have nothing left for.
THE NEXT TIME A PATIENT CALLS FOR HELP, IT MAY NOT BE A HUMAN WHO ARRIVES AT THEIR BEDSIDE.
It may be a humanoid robot.
In this video, Unitree G1 is already working inside a hospital room.
It opens drawers, retrieves supplies, moves a medical cart, and adjusts the bed.
To a healthy person, these may seem like small tasks.
But after surgery, a serious injury, or during an illness, even reaching for something nearby can become impossible.
Then all you can do is press the button and wait until someone is available.
A robot does not get exhausted after a night shift. It can bring supplies, move equipment, or prepare a bed while medical staff help another patient.
Yes, this is still a demonstration.
It cannot replace a doctor, make a diagnosis, or comfort someone the way a nurse can.
But it could free their hands at the exact moment another patient urgently needs human care.
Would you allow a robot like this to care for you in a hospital?
CHQ retweeted
Quote text, ready to paste:
The mill works. That is no longer a picture.
But look at who is holding it.
A person spent an afternoon fighting water and gears. Opus wrote the mechanism. Together they built a wheel that actually turns.
This is not an agent yet.
This is a model helping you build a thing while you are still in the room.
The next step is different. Not a prettier mill. A system that, after the tab is closed, checks whether the wheel is still turning, finds where the efficiency leaks, and tries the next version on its own.
We can already build working things in an afternoon.
The question is who stays to watch once the afternoon is over.
The bed has been unmade for three days. Something fell on the floor, and nobody is picking it up. Not because of laziness. Because bending down hurts, and there is no one nearby.
The kids will come on Sunday. A carer gets one hour. The rest of the week, the apartment lives alone. So does the person in it, who can no longer keep up.
Then two robots walk into the room. One opens the door for the other. They hang clothes. They push in the chair. They make the bed with four hands. In under two minutes.
This is Figure Helix. Not a fairy tale, and not "someday." It is a demo, and the room was set up for the camera, but the movements are real.
While we joke that robots will take our jobs, someone cannot straighten their own blanket. They do not care what the model is called. They just need a home they can still live in.
Who do you know that needed this yesterday?
Video: youtube.com/watch?v=8xEuFQz4…
THE MOST TERRIFYING PART OF GROWING OLD IS FALLING IN YOUR OWN HOME AND REALIZING THAT NO ONE IS COMING.
Your children may be at work or living in another city.
A caregiver may only visit for a few hours.
But an elderly person can need help at any moment - getting out of bed, reaching the bathroom, bringing a glass of water, or simply staying on their feet.
That is exactly what Qijia Q1 was created for.
The robot can support a person with its arms, help them stand, bring essential items, assist with feeding, and transport them to another room.
It can even transform into a wheelchair. The person sits inside it, holds the robot’s arms, and guides it toward where they need to go.
It does not get tired.
It does not go home in the evening.
It does not say, “Wait, I’m busy.”
And it will not leave someone lying on the floor until morning.
This robot cannot replace children, human warmth, or a real conversation.
But it can be there at the exact moment when no one else is.
We are afraid of a future where robots live among us.
I am more afraid of the present, where thousands of elderly people live alone with no one to call when they need help.