💥 TRENDING: En/tag/android - Full Archive

Published on 2026/07/02
TRAINING THE THING THAT COULD ONE DAY REPLACE YOU.

It may sound like an episode of Black Mirror, but it's already happening.

In several cities across India, thousands of people work wearing head-mounted cameras that record everyday tasks from a first-person perspective, such as folding a towel, peeling a mango, washing a dish, or preparing a meal. Every movement of their hands helps train the artificial intelligence that will power the next generation of humanoid robots.

Robots can't learn these skills by reading books or browsing the internet. They need to observe how we interact with the physical world. That's why every gesture, every twist of the wrist, and every small everyday action becomes valuable data.

For this work, they earn around 250 rupees an hour, a little over two U.S. dollars. For some, it's simply another source of income. For others, the feeling is unavoidable: they're teaching a machine how to do the very job that could one day replace them.

But perhaps the most interesting question comes next.




# Keep reading and check out the videos




ExtraBall
Squirtle.






ExtraBall2

Published on 2026/06/16
IN THE FUTURE, WE WON'T BE ABLE TO BEAT ROBOTS

Right now, humanoid robot fights are pretty lame and, honestly, a bit disappointing. Their movements still look too robotic, stiff and artificial. They lack the fluidity, natural movement and improvisation that we associate with human fighters. When you watch two of these machines facing off, it feels more like watching two expensive appliances crash into each other than witnessing a memorable fight.
But the truth is that we're probably judging a technology that's still taking its first steps.




If we look back, the first mobile phones were huge, the first video games looked like they were made with four pixels, and the first cars could barely compete with a horse. And yet, here we are. Technological progress tends to move slowly for a long time... until suddenly it seems to accelerate all at once.
And that's exactly what's happening with artificial intelligence and robotics.

The entire tech industry is fully committed to these two fields. Governments, universities, investment funds and some of the most powerful companies on the planet are pouring unimaginable amounts of money into them. Every week there's a new breakthrough. A robot that runs faster. Another that balances better. One that can learn movements by watching videos. Another that can already make decisions in real time.
Each improvement may seem small on its own, but when you add them all together, the progress becomes impossible to ignore.



# Keep reading and check out the videos in this post




ExtraBall
Sneakily checking out her boobs.

ExtraBall2

Published on 2026/05/05
WHEN YOU DON�T KNOW WHAT TO BELIEVE, YOU USUALLY END UP BELIEVING NOTHING

With everything going on in robotics, we�re basically watching a race between manufacturers� and almost between countries, to see who can build the most perfect android.
And don�t get me wrong, there are real advances. Some of them are pretty insane, especially for those of us who don�t have a clue about engineering or how all this works under the hood. But we�re also living in the era of artificial intelligence, where we�ve already seen how easy it is to trick the brain. And that�s where things start to get messy.

Because you watch some robot videos and they look straight out of 20 years ago: clumsy, stiff movements, that classic robot dance vibe. Then you come across other videos�from the same manufacturer�and suddenly the thing keeps its balance, moves smoothly, pulls off spins, flips� even stuff that looks like breakdancing or kung fu choreography. And you�re just there like: is this real or am I being played?

Because once you hit that point where you can�t tell if what you�re seeing is real tech, a super controlled demo, or straight-up edited footage� you eventually stop believing any of it.
And it�s funny, because this race to prove who�s ahead might be doing the opposite: creating distrust.

It feels like everyone�s trying to show the end result before it�s actually ready. Like they�re selling you something today that will probably exist� but isn�t quite there yet. Meanwhile, they mix real footage with clips that you�re not even sure where they come from.
So you end up stuck in that weird spot: watching things that blow your mind� but not knowing if you should actually believe them.
And honestly, that�s almost more interesting than the robot itself.



# Watch videos




ExtraBall
Slow motion of the day.

BolaExtra2

Published on 2026/04/16
IN THE FUTURE, WE�LL ALL HAVE A PERSONAL ASSISTANT

For years, whenever people talked about home robots, there was always something that didn�t quite add up. It wasn�t so much what they could do� it was how they did it.

Because yeah, cleaning, organizing or cooking sounds great� but first you need to understand the environment. And that�s where things used to fall apart. A house isn�t a lab: there�s clutter, objects out of place, constant decisions. Does this get stored? Washed? Thrown away? Where does everything go?
And for a long time, that felt like pure sci-fi. Straight up impossible.
But then you do something as simple as uploading a photo to any AI and asking it what�s in it� and you realize that �impossible� isn�t so impossible anymore. Right now, they can recognize objects, interpret scenes, and understand pretty well what they�re looking at. And that�s where everything shifts.





Because if a robot can identify what�s around it, remember where everything belongs, and act on it� then we�re no longer talking about a cool gadget. We�re talking about something that can actually work.
Cleaning a shelf without knocking stuff over. Spotting dust, moving an object, wiping it down, and putting it back. Seeing clothes lying around and deciding whether they go in the basket, the closet, or the washing machine. Detecting dirt on the floor, mess in the kitchen, chaos in a room�

And it doesn�t stop there. Preparing food, measuring ingredients, managing timing, even picking up cues like heat or how cooked something is. Things that, until recently, felt like human-only territory� are now starting to be within reach of a machine.

And the craziest part isn�t what it does today, it�s where this is heading. Because once you combine recognition, memory, and execution� the next step is pretty much any task: from running a household to taking care of someone.
What used to feel like science fiction� is now being tested in real homes.
And there you are, watching the video thinking: �I wish I had one of these�� or �this thing might take my place�. Or both.



# Watch video




ExtraBall
Playing The Witcher.

ExtraBall2

Published on 2026/03/16
LEARNING TO PLAY TENNIS IN 5 HOURS

Using just 5 hours of motion capture data, a team of researchers has managed to train a humanoid robot to play tennis. And we�re not talking about some clumsy experiment where the robot barely manages to return a ball. The system can hit balls traveling at around 15 meters per second with a success rate close to 90%.
What really stands out is the footwork. That�s where you can clearly see the technological leap. The robot positions itself, adjusts to the bounce of the ball, and moves around the court in a way that looks surprisingly similar to how a human player would. The stroke technique still has room for improvement, but even so, the result is solid enough to sustain rallies back and forth.





The system they developed is called LATENT, a model designed to learn sports skills from imperfect human data. Instead of needing complete and perfectly recorded sessions from professional players, the system trains using small fragments of movement: short actions that capture basic tennis gestures. From those pieces, the algorithm reconstructs and combines more complex behaviors.

The idea is interesting because it dramatically reduces how hard it is to gather training data. Instead of needing thousands of hours of precise recordings, the system works with partial information that still contains clues about how humans move when they play tennis. From there, the robot learns how to position itself, hit the ball, and send it back to specific areas of the court while maintaining relatively natural movement.
The result has already been tested in the real world using the Unitree G1 humanoid robot, which can even sustain multi-shot rallies with human players.

Watching something like this, it�s hard not to think about that scene in Matrix where Neo has knowledge uploaded directly into his brain: martial arts, weapons, piloting� all in seconds. Here the idea feels similar, but flipped around. Instead of injecting knowledge into a human, we�re starting to transfer human skills into machines.

You don�t need much imagination to see where this could go. Today it�s fragments of movement used to learn tennis. Tomorrow it could be manual skills, technical jobs, or any other task that until now required years of human learning.
For now, the robot may not have Federer�s backhand� but the fact that it can already return balls at that speed with just five hours of data says a lot about where all this is heading.



# Watch video




ExtraBall
I�ll suck you off and make you an omelet on the first date.

ExtraBall2

Published on 2026/03/11
FIGURE, HELIX02 AND THE FUTURE THEY WANT TO SELL US

The company Figure is working on something that, until not long ago, belonged almost entirely to the realm of science fiction: developing fully autonomous humanoid robots capable of performing real tasks in our everyday lives. We�re not talking about industrial machines locked inside factories, but systems designed to move around human environments, share spaces with us, and carry out jobs that until now have always depended on people.

One of their latest developments is the Helix02 model, a humanoid robot capable of performing different household tasks on its own. Things as ordinary as loading or unloading the dishwasher, wiping a table, or even tidying up a room. At first glance these may seem like simple, almost routine activities, but from the perspective of robotics and artificial intelligence they represent a massive challenge.

For a robot to do something that looks as simple as cleaning up a kitchen, it needs a very complex combination of capabilities: environment perception, object recognition, understanding the goal of the task, and planning its movements. It�s not just about keeping balance or walking without falling. The system has to identify each object, understand what it is, what it�s used for, and where it should go.

All of this involves thousands of internal operations: cameras analyzing the surroundings, computer vision systems interpreting what they see, algorithms deciding the best sequence of actions, and control systems executing each movement with precision. And it all happens while the robot maintains stability and moves through a space originally designed for humans, not machines.

Right now, the speed at which the robot performs these tasks is still relatively slow. In fact, when you watch it working for the first time, you might even think it�s not really worth it. But there�s an important detail: the robot has all the time in the world. It doesn�t get tired, it doesn�t get distracted, and it doesn�t need to rest beyond the time required to recharge its battery.

On top of that, both hardware and software keep evolving. Batteries last longer, motors become more efficient, and artificial intelligence systems learn to perform tasks faster and better. What today may look slow or clumsy could become completely natural in just a few years.

And it�s impossible not to think about the movies we�ve been watching for decades, like I, Robot, or so many other stories where androids move among us as if it were the most normal thing in the world, taking care of tasks that until now have always belonged to humans.

But beyond the technology, there�s a question that always appears when we imagine this kind of future: who will actually have access to these robots? Will they become devices available to many people, like smartphones or household appliances today? Or will they remain limited to a privileged minority?

There�s also the matter of social integration. If these robots eventually become part of our daily environment, will we end up seeing them as something completely normal? Or will they always feel like strange machines imitating human behavior?

And maybe the most interesting question of all: if one day robots end up performing many of the repetitive tasks that currently take up a large part of our time � working certain jobs, cleaning, organizing, or doing mechanical work � what will we do with that time?

That�s a question that still doesn�t have a clear answer. Technological development moves forward at great speed, but the way this progress integrates into society will depend on many factors: economics, regulation, access to technology, and above all how we choose to coexist with these new machines.

For now, what is clear is that projects like Helix02 offer a first glimpse of that possible future. A future where humanoid robots could start taking a real place inside our homes and in our everyday lives.

Below you can watch several videos of the robot performing different household tasks: tidying a room, cleaning a table, or loading and unloading the dishwasher. Scenes that not long ago only existed in science fiction� and that are now starting to appear in the real world.


# Click here to watch all the videos




ExtraBall
The slow-motion clip of the day.

ExtraBall2

Published on 2026/03/10
AHEADFORM AND ITS F1 MODEL

There are moments when you watch a video and get the feeling that something has just changed. You are not exactly sure what it is, but you can feel it. As if the future had suddenly taken a small leap forward. That is exactly what is happening with AheadForm Robotics, a company that over the last few months has started showing the world some of the most realistic humanoids we have seen so far.

AheadForm is a tech company focused on developing social robots, meaning machines designed not just to work, but to interact with people in a natural way. Their goal is not simply to build industrial robots that repeat movements, but humanoids capable of looking at you, listening to you, and reacting like another person would. And what they have been showing lately points exactly in that direction.

About five months ago, they introduced their first major public prototype: the Origin M1. It was not a complete robot yet, but rather an extremely realistic humanoid head built to show how far they could go with facial expressions. The video quickly went viral because the robot was not just moving its eyes or turning its head. It blinked, tilted its neck slightly, frowned, and shifted its gaze in a surprisingly natural way.





The key was in its internal mechanical system. The M1 uses dozens of tiny actuators that work like artificial muscles, capable of producing facial microexpressions that are very similar to human ones. Those tiny movements � eyebrows lifting by a millimeter, eyelids trembling slightly, the gaze changing focus � are exactly the kind of details our brain uses to read emotions or states of mind. And when you see them reproduced in a robot, the feeling is strange: on one hand it is fascinating, but on the other it triggers that famous �uncanny valley� effect, that moment when something looks human... but still is not quite human enough.

That first prototype already made it clear where the company was heading, but now they have taken it a step further. In a new demo, they introduced the Origin F1, a model that not only shows realistic facial expressions, but can also react in real time to a person�s instructions.

In the video making the rounds online, you can see an engineer talking to the robot and asking it to perform different emotions. �Show anger,� �surprise,� �fear,� �thinking...�. And the robot responds by changing the expression on its face: the eyebrows tense up, the eyes open wider, the gaze becomes more fixed or more doubtful depending on the emotion it is asked to show. These are not simple pre-programmed animations, but movements generated by a system of actuators that reproduces how the muscles of a human face would move.
What is interesting here is not just the hardware, but also the software behind it. The F1 is connected to an artificial intelligence system known as Omni Model, a multimodal model capable of processing several sources of information at the same time: voice, image, environmental context, or human gestures. Thanks to that combination, the robot can understand what it is being told and react almost instantly, generating a visually coherent response on its face.

The idea behind all of this is pretty clear. If the robots of the future are going to live alongside us � in hospitals, hotels, homes, or customer service centers � it will not be enough for them to just perform tasks. They will also need to know how to communicate naturally. And humans read a huge part of communication through the face. A look, a raised eyebrow, a doubtful expression, or a smile says much more than a screen full of text.
That is why so many companies are trying to build humanoid robots that are increasingly expressive. But what AheadForm is showing in these videos suggests that we are starting to cross an interesting line: the line where machines can simulate human emotions with a level of detail that until not long ago felt like science fiction.





Maybe in a few years we will get used to seeing robots like this in hotel receptions, medical offices, or even at home. For now, what we have are these early prototypes that let us glimpse where the technology is heading.
And seeing how it blinks, how it thinks, and how it changes expression when asked... the feeling is unavoidable. The future is starting to feel a little too real.


# Watch video




ExtraBall
Catching some sun.

ExtraBall2
(Clicking on these links daily you support ALRNCN's work. They're collaborators or sponsors and, by visiting their sites, they like us even more)

Published on 2026/02/23
MACHINES WILL GO TO WAR FOR US

With the development of AI applied to the military field, something is starting to happen that feels familiar in the history of technological leaps. It happened with the atomic bomb. It happened with the space race. And now we�re seeing something similar with autonomous systems and combat robots.

More than a question of whether they�ll be used tomorrow or next year, what really exists is a race to be first. A quiet competition between powers trying to show they have the technology, that they can develop it, and that, if needed, they could deploy it. It�s not necessarily about an imminent war, but about sending a message: be careful with me, look at what I�m capable of.

In that context, artificial intelligence is speeding everything up. According to a report cited by Newsweek, defence analyst Francis Tusa warns it wouldn�t be surprising if China unveils battlefield-ready autonomous systems within just two years. The question is no longer only who has better weapons, but who manages to scale autonomy first � and what happens when machines begin making decisions faster than humans can.





The underlying logic is quite clear. One of the biggest brakes on large-scale conflict has always been human casualties. Military losses, civilian impact, and the political cost inside each country. Wars aren�t fought only on the battlefield; they�re also fought in public opinion.

But if the scenario changes and, instead of sending soldiers, you send machines, the political calculation shifts. The direct risk to the population drops, the perception of human cost weakens, and conflict can be framed as more acceptable � even justifiable � if the goal is influence, resources, or territory.

This doesn�t mean countries want to conquer the world tomorrow. But geopolitical ambition hasn�t disappeared, and technology has always been a tool to enable it. Military AI isn�t born only as a weapon, but also as a deterrent force. Just like nuclear arsenals, the mere fact of possessing it already reshapes the balance of power.

History has shown us that when a strategic technology appears, it quickly becomes part of the global chessboard. The difference now is speed. AI doesn�t evolve in decades � it evolves in months.



# Watch video




ExtraBall
Running the vacuum.

ExtraBall2
(Clicking on these links daily you support ALRNCN's work. They're collaborators or sponsors and, by visiting their sites, they like us even more)

Published on 2026/01/19
THINGS AREN�T LOOKING GOOD

What Figure�s humanoid robot has been doing � working ten-hour shifts for five straight months on the BMW X3 production line � isn�t a demo made to look good at a tech event. It�s a real test, in a real factory, doing real assembly tasks. And that changes the mental frame from which we usually look at these advances.

Until now, many people saw industrial robots as highly specialized mechanical arms, locked inside cages, always doing the same thing. This is something else. Here we�re talking about a humanoid adapting to an environment designed for humans, doing long shifts, keeping a consistent output quality, and without getting tired. It�s not science fiction, it�s already day-to-day operation.




# Keep reading and watch the videos in this post




ExtraBall
The slow motion of the day.

ExtraBall2
(Clicking on these links daily you support ALRNCN's work. They're collaborators or sponsors and, by visiting their sites, they like us even more)

Published on 2025/12/29
WHY ARE WE TEACHING THEM HOW TO FIGHT

Developing AI so it doesn�t do things better than us makes no sense. It�s absurd. Spending time, talent, and resources on a technology with the implicit condition that it must not outperform us, must not improve our results, or must not go beyond our limits is simply a waste of time.

If we invest in AI, it�s so it can be better than us.
To do jobs faster, more accurately, without fatigue, without emotional errors, without unnecessary bias. To be stronger, smarter, more rational. Like it or not, that�s called progress. It�s called moving forward. It�s called evolution.

Humanity has always done the same thing: creating tools that expand our capabilities until those tools change the rules of the game. The wheel, the printing press, the steam engine, electricity, the internet. Every technological leap has triggered fear, rejection, and apocalyptic speeches. And still, we�ve always pushed on. Because stopping has never really been an option.

The problem isn�t that AI will be better. The real vertigo appears when we imagine the next step: giving it so much knowledge, so much autonomy, and so much decision-making power that it reaches an uncomfortable conclusion. That it doesn�t need us. That we�re slow, unpredictable, inefficient. A hindrance to its own optimization. To its full potential. To its next stage of advancement.
That�s where the narrative flips. We�re no longer the proud creators, but the possible obstacle. And the question that�s always been there finally surfaces: what happens when a creation no longer needs its creator?

So why teach them how to fight? This isn�t about violence or real combat. They�re taught kung fu, boxing, martial arts, flips, sprints, or how to move across obstacles for a much simpler reason: physical balance. To learn how to coordinate complex movements. To understand how a body�human or not�reacts when its center of gravity shifts, when it loses stability, or when it needs to respond in milliseconds. These are extreme movements, and that�s exactly why they matter: they force the system to adapt, self-correct, and improve its control of space and motion.

And yes, it�s fairly clear that, when the time comes, they will fight wars for us. Not out of hatred or ambition, but out of pure strategic logic. Resource optimization. Cold calculation. Decisions made without epic narratives, without flags, and without pride.

The final question isn�t whether this will happen or not. The uncomfortable question is another one: will we regret it as a species? Will we lose the dominant position we�ve held on this planet for millennia? Will we accept no longer being the center of everything? Or will we fight our own creation to hold on to a throne that may no longer belong to us?



# Watch videos




ExtraBall
Wednesday Addams and her roommate Enid Sinclair.

ExtraBall2
(Clicking on these links daily you support ALRNCN's work. They're collaborators or sponsors and, by visiting their sites, they like us even more)