IA, News, Business; technology, Social media, Networking, Netmarketing,

Colombia
Joined February 2011
TECHNOLOGY retweeted
Robots humanoides y un cuadrúpedo coordinándose: se perciben, reaccionan y se mueven juntos El salto de la IA permite actuar como equipo, inteligencia colectiva, en el mundo real No es futuro lejano: loestamos viendo ahora. Impresionante
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TECHNOLOGY retweeted
Q3 2026 Financial and Operational Results xitter.cf/i/broadcasts/1PKqrNbLZ…
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They know your secret... 👀
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TECHNOLOGY retweeted
All roads lead home.
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TECHNOLOGY retweeted
I tried MiniMax H3 on Hailuo AI today, and I’m genuinely impressed🤯 AI video generation keeps getting better and better. The future is looking crazy
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Fins on pot arribar una societat quan, per tolerància o càlcul polític, permet que una cultura aliena als seus propis valors comenci a guanyar espai dins les institucions? Aquesta és la discussió que molts s'estimen més evitar.
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☪️😈👀🤔🧠🤬🤬🤬🤬
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TECHNOLOGY retweeted
🇺🇸| Elon Musk dice una GRAN VERDAD: “La inmigración masiva es una locura y conducirá a la destrucción de cualquier país que la permita, basta con que un pequeño porcentaje del mundo se mude a un país, y ya no es ese país…Un país es su gente, no su geografía”.
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TECHNOLOGY retweeted
🚨🛸 ¡CHINA ACABA DE CONVERTIR A SPIDER-MAN EN REALIDAD! ¡UNA PATINETA VOLADORA CON 10 MOTORES Y ASISTIDA POR INTELIGENCIA ARTIFICIAL! 🤯 ¡No es ciencia ficción, no es un montaje creado con IA y mucho menos una escena de Hollywood! 🇨🇳 El inventor chino Song Xingyu, conocido como Magical Ayu, desarrolló una patineta voladora inspirada en el Duende Verde de Spider-Man, capaz de elevar a una persona y desplazarse por el aire. ¡Y ya la puso a prueba sobre ríos y desfiladeros! ¿QUÉ TECNOLOGÍA UTILIZA ESTA BESTIA?
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Nvidia CEO Jensen Huang: "AI will create more millionaires in 5 years than the internet did in 20." But he didn't stop there... He revealed exactly how it'll happen and how you can capitalize on it:
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TECHNOLOGY retweeted
Somewhere right now, a person who has never built anything is writing an article explaining why Elon Musk doesn’t know what he’s doing. They call him a fraud from behind a screen he built the future on. They call him dangerous from a platform he owns. They call him greedy while he pledges $10.5 billion in SpaceX stock to 72 million American children. The man they describe does not exist. The man they ignore just made a car fly. These are people who have never built anything that survived contact with reality. Their entire careers exist in the space between an opinion and a deadline, and they have confused the ability to describe the world with the ability to understand it. He operates in the physical layer of reality. The layer where the math either closes or the rocket doesn’t come home. Where the car either drives itself or it crashes. Where the satellite either reaches orbit or it becomes debris. No opinion survives in that layer. No spin. Just physics and results. He built the vehicle that carries NASA astronauts to the International Space Station. The satellite constellation delivering internet to active war zones. The EV that forced every automaker on Earth to abandon their combustion roadmap. The brain chip that let a paralyzed person control a computer with their thoughts. They say he hoards wealth. He just pledged one SpaceX share from his own holdings to every child in America. 72 million kids. Not a foundation. Not a tax shelter. A direct ownership stake in the company building the future. Those kids now have skin in the game. A reason to care about launches, about engineering, about what gets built next. Not because someone told them to. Because they own a piece of it. The people calling him greedy have given the public nothing but their opinions and the privilege of listening to them. The criticism didn’t escalate because he got worse at engineering. It escalated because he bought X. He cracked open the algorithm. Handed the public square back to the people using it. Broke the power of a small class of gatekeepers to curate reality for everyone else. They spent decades telling the public what to think. He gave them a platform and told them to think for themselves. The meltdown has been dressed up as concern for democracy ever since, but what they are actually mourning is the monopoly. These are the people who lecture about misinformation from newsrooms that retract stories quarterly. Who demand accountability from a man who tests his work in front of the entire planet while they publish behind editorial boards that answer to no one. An engineer puts a rocket on a drone ship and the whole world watches it land or explode. A journalist puts an opinion in a headline and if it’s wrong, nothing happens. No consequence. Just a correction buried where nobody reads it. One of these people is accountable to physics. The other is accountable to their editor. And the one accountable to their editor keeps telling the one accountable to physics that he doesn’t know what he’s doing. They had one advantage. The bottleneck. The ability to stand between the public and the information and decide what got through. Not truth. Access. He didn’t compete with them. He made the bottleneck irrelevant. A rocket doesn’t care about your headline. Gravity doesn’t read your editorial. And the laws of physics have never once adjusted to fit a narrative. They own the words. He owns the work. One of them is going to Mars. The other will write an article about why he shouldn’t.
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TECHNOLOGY retweeted
Four cities. One clear message: Europe is building what’s next in AI. Tomorrow, Jensen takes the stage at #NVIDIAGTC Berlin to continue the conversation. See you there.
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TECHNOLOGY retweeted
Megagiant AI keeps getting better and better.
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World's First Cyclorotor Aircraft Achieves Successful Takeoff by @spaceandtech_ #Aviation #EmergingTech #Technology #Innovation
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TECHNOLOGY retweeted
A $90,000 STUDENT PROJECT JUST TURNED INTO ONE OF THE CRAZIEST PHYSICAL AI TESTS YET Anthropic gave MIT students a $90,000 budget and challenged them to build their own AI powered robots with physical world control and 19 year old Ethan Carter decided to take his project in a completely unexpected direction: fishing. He built a humanoid robot specifically designed to operate around multiple fishing rods, and somehow managed to put the entire system together in just 6 days. But the first real world test was where things got interesting. Instead of giving the robot one simple task, the students intentionally created chaos multiple rods, multiple potential bites, and the robot had to figure out how to react when several things happened at once. What happened next was NOT what anyone expected. The robot didn’t just stand there waiting for instructions. It started reacting to the fishing setup, tracking the rods and physically responding to the changing situation in real time. This is exactly where Physical AI gets interesting: the challenge isn’t making a robot move it’s teaching it how to make decisions when the real world refuses to behave predictably. And if a student can build something like this in 6 days, imagine what happens when these systems get months of development, millions in funding, and real world training data.
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The Future Takes Flight: China Unveils Operational Flying Taxis by @XueJia24682 #Drone #EmergingTech #Technology #Innovation
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KAIST’s 75 kg Humanoid #Robot Runs, Jumps, Moonwalks, and Plays Soccer by @spaceandtech_ #Robots #Engineering #ArtificialIntelligence #Innovation #Technology
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TECHNOLOGY retweeted
Replying to @NightSkyToday
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VISUALIZATION🚨: This is what happened in your brain when you read.
Readers added context they thought people might want to know
The video shows cultured neurons in a lab dish with growth cones, not activity in a living brain while reading. fMRI studies map reading to distributed networks mainly in left-hemisphere visual/language areas plus cerebellum. technologynetworks.com/neuroscience/v… sciencealert.com/scientists-rev… brainfacts.org/thinking-sensi…
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TECHNOLOGY retweeted
Anthropic opened up a ribosome study and found the machine stalls on purpose, with the pauses doing a job nobody assigned them. Speed was always the metric. Faster translation, better output, and a stall counted as something gone wrong. > TIME - translation tracked second by second instead of measured end to end > MARK - every pause logged with the exact point in the sequence it happened > SORT - random hesitations separated from pauses that repeat across cells > FOLD - each repeating pause matched against what the protein was doing then The pauses are not noise. The same ones land at the same places, in cell after cell, far more often than chance allows. They cluster where the protein needs a moment. A section finishes folding before the next one is fed out behind it. Rush that and the chain comes out complete and useless, folded into a shape that does the wrong thing. So the stall is the instruction. The sequence carries timing information on top of the amino acids everyone reads it for. Optimising genes for speed has been standard practice for decades. It quietly deletes that timing. That explains a lot of engineered proteins that are technically correct and biologically dead. Every repeating pause and what it was waiting for sit in the breakdown below.
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