Adrián Garzón [Buenos Aires]

6.6K posts

Adrián Garzón [Buenos Aires]

Adrián Garzón [Buenos Aires]

@Blogging_AG

Apasionado de mi familia, la Ciencia, Tecnología, Astronomía, Física y música y deportes en gral. Mis valores: responsabilidad, compromiso, honestidad, ética

Buenos Aires - Argentina Katılım Aralık 2010
22 Takip Edilen82 Takipçiler
Adrián Garzón [Buenos Aires]
A new @CERN #breakthrough may have finally revealed why the #Universe exists at all #Baryons
Night Sky Now@NightSkyNow

A new CERN breakthrough may have finally revealed why anything exists. In a groundbreaking experiment at CERN’s Large Hadron Collider, physicists have observed a rare imbalance in the way matter and antimatter behave—offering a potential clue to one of the biggest mysteries in science: why the universe exists at all. This phenomenon, called charge–parity (CP) violation, was detected in baryons—particles like protons and neutrons that form the bulk of matter. By analyzing 80,000 decays of a particle known as the lambda-beauty baryon, researchers found its antimatter counterpart decays just a bit differently—about 2.5%—a statistically significant deviation with only a 1 in 10 million chance of being a fluke. Why does that matter? At the moment of the Big Bang, matter and antimatter should have been created in equal amounts and annihilated each other completely, leaving behind a lifeless universe. But that didn’t happen. A tiny imbalance favored matter, and that microscopic difference allowed stars, planets, and life to emerge. Until now, CP violation had only been detected in mesons, which aren’t the stuff of ordinary matter. This is the first time such asymmetry has been found in baryons—the particles that make up our physical reality—bringing scientists a step closer to understanding how everything we know managed to survive. Source: Observation of charge–parity symmetry breaking in baryon decays. Nature, 2025.

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Adrián Garzón [Buenos Aires]
#China’s #quantum_computer completed a task in 4 minutes that would literally take a #supercomputer billions of years.
Night Sky Now@NightSkyNow

China’s quantum computer completed a task in 4 minutes that would literally take a supercomputer billions of years. Chinese researchers have achieved a monumental breakthrough in quantum computing with their prototype, Jiuzhang. By counting 76 photons through Gaussian boson sampling, the system completed a calculation in four minutes that would take a traditional supercomputer billions of years. This achievement shatters the previous classical record of five photons, demonstrating how an intricate array of lasers and mirrors can outperform traditional silicon bits in complex processing tasks. This milestone is more than just a speed record; it proves the viability of photon-based quantum mechanics in solving real-world challenges. From revolutionizing quantum chemistry to laying the groundwork for a secure, large-scale quantum internet, the principles of superposition and entanglement are moving from theoretical physics into functional technology. This shift promises to redefine our global computational limits, offering answers to mathematical problems once considered impossible to solve within a human lifetime. source: Zhong, H.-S., Wang, H., Deng, Y.-H., Chen, M.-C., Peng, L.-C., Luo, Y.-L., ... & Pan, J.-W. (2020). Quantum computational advantage using photons. Science.

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Adrián Garzón [Buenos Aires]
The #Artemis_II Program and trajectory
The Curious Tales@thecurioustales

🚨 This is exactly how the 4 moonbound astronauts will travel 400,000 km from Earth. Strap yourself to 4.1 million kilograms of controlled explosion and ride it to the edge of everything humans have ever known. The Artemis II trajectory reveals something most miss about deep space travel: you don’t pilot to the moon. You become cargo on a ballistic arc calculated with mathematical precision that would make ancient astronomers weep. Launch from Cape Canaveral begins with two solid rocket boosters generating 3.6 million pounds of thrust each. These aren’t engines you can throttle or shut off. Once lit, they burn until empty. You’re riding pure chemical violence upward at accelerations that compress your organs and blur your vision. Each booster burns through 1.1 million pounds of propellant in 120 seconds, generating more power than the entire electrical grid of most countries. When the boosters separate two minutes in, you’re already traveling 3,000 miles per hour. The core stage takes over, burning liquid hydrogen and oxygen through four RS-25 engines. These are the same engines that powered the Space Shuttle, but upgraded for deep space. Each engine operates at temperatures that would vaporize most metals, channeling combustion through nozzles engineered to nanometer tolerances. Six minutes after launch, the core stage drops away. You’re in low Earth orbit, but barely. The trajectory puts you in an elliptical path that skims the upper atmosphere. Solar arrays deploy like mechanical wings. Life support systems activate. Four humans now depend entirely on machines to survive in an environment that kills unprotected life in seconds. The next 90 minutes are psychological preparation for what comes next. You’re still close enough to Earth that if something fails catastrophically, you might survive reentry. After translunar injection, that safety net disappears completely. The Interim Cryogenic Propulsion System fires once. A single engine burn lasting minutes accelerates you to escape velocity: 25,000 miles per hour. You are now traveling faster than any human has traveled since 1972. The burn must be perfect. Too little thrust and you fall back to Earth. Too much and you overshoot the moon entirely, drifting into solar orbit with no possibility of rescue. What follows is four days of coasting through interplanetary space on a trajectory so precisely calculated that it accounts for the gravitational influence of the sun, Earth, moon, and even Jupiter. You’re riding a path through space and time that exists only because teams of mathematicians spent years modeling celestial mechanics down to the microsecond. The spacecraft carries no radar, no GPS, no external reference points. Navigation depends on star trackers that identify constellations and calculate position by comparing stellar angles to digital star maps. You navigate the same way Polynesian sailors did, except your ocean is vacuum and your destination moves 2,000 miles per hour relative to Earth. Seventy hours into the mission, you cross the point where lunar gravity becomes stronger than Earth’s pull. The mathematics of your trajectory flip. You’re no longer escaping Earth. You’re falling toward the moon. But you don’t land. The trajectory aims for the moon’s far side, using lunar gravity like a cosmic slingshot. As you swing around, the moon’s mass redirects your momentum back toward Earth. Ancient orbital mechanics discovered by Johannes Kepler 400 years ago bend spacetime to fling you home. The far side transit is when psychological isolation peaks. You pass behind the moon, losing radio contact with Earth for the first time since launch. The only humans in the solar system disappear behind 2,000 miles of lunar rock. Mission Control goes silent. You are alone with the machinery in ways no human has experienced since Apollo 17. During lunar approach, you fly closer to the moon’s surface than the International Space Station orbits Earth. Craters and mountains pass beneath at lunar dawn, shadows stretching across terrain untouched by atmosphere or weather for billions of years. You see geology older than complex life on Earth. The return trajectory begins automatically. Lunar gravity has already bent your path homeward. You’re riding Newton’s laws back across 400,000 kilometers of emptiness at speeds that compress the return journey into four days. Reentry begins 400,000 feet above the Pacific Ocean. The heat shield faces temperatures of 5,000 degrees Fahrenheit—hot enough to melt copper, approaching the surface temperature of the sun. Atmospheric friction converts 25,000 miles per hour into thermal energy that would vaporize the spacecraft without the carbon composite barrier between you and physics. Parachute deployment requires split-second timing. Deploy too early and the chutes shred in the hypersonic airflow. Deploy too late and you impact the ocean at terminal velocity. Main chutes slow you from 300 miles per hour to 20 miles per hour in seconds. The deceleration forces compress your spine and test the limits of human physiology. Pacific splashdown ends a ten-day journey covering 1.4 million miles. You return as the first humans to travel beyond Earth orbit in over fifty years, carrying radiation exposure from cosmic rays that passed through your body, and psychological changes from seeing Earth as a pale blue dot suspended in infinite dark. The entire mission depends on technologies working perfectly in an environment that destroys electronics, boils lubricants, and subjects every component to temperature swings of 500 degrees. One software glitch, one seal failure, one navigation error means four humans drift through space until life support expires. Engineering manages these risks through redundancy, testing, and margins of safety built into every system. But at 400,000 kilometers from Earth, margin for error approaches zero. Success requires mechanical perfection operating in conditions no Earth laboratory can fully simulate. We call it exploration, but what Artemis II really tests is whether human consciousness can psychologically handle complete separation from everything that created it while trusting life entirely to machines operating at the edge of physical possibility. The trajectory looks like a simple loop on paper. In reality, it’s controlled falling through spacetime using mathematics as your only safety net.

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Adrián Garzón [Buenos Aires]
Adrián Garzón [Buenos Aires]@Blogging_AG·
El hombre que inventó la #IA moderna acaba de hacer una apuesta de que #ChatGPT, #Claude y todas las empresas de IA del planeta están construyendo la tecnología equivocada #Yann_LeCun #AMI_Labs
Carlos-cryptofinanzaslibres@escapasistema

El hombre que INVENTÓ la IA moderna acaba de hacer una apuesta de mil millones de dólares a que ChatGPT, Claude y todas las empresas de IA del planeta están construyendo la tecnología equivocada. x.com/Ric_RTP/status… Yann LeCun ganó el premio Turing en 2018 por crear las redes neuronales que hicieron posible la IA. Pasó una década dirigiendo la investigación en IA en Meta. Supervisó la creación de Llama y PyTorch, las herramientas sobre las que funciona la mitad de la industria de la IA. Luego se fue. Y levantó 1.030 millones de dólares en una ronda semilla. La MAYOR ronda semilla de la historia de Europa. Una valoración de 3.500 millones de dólares antes de generar un solo dólar de ingresos. Bezos puso el dinero. También Nvidia. Samsung. Toyota. Temasek. Eric Schmidt. Mark Cuban. Tim Berners-Lee (el hombre que inventó internet). Su nueva empresa se llama AMI Labs. Y está construida sobre una tesis: Toda empresa de IA que está gastando miles de millones en modelos de lenguaje grandes está tirando su dinero. ChatGPT, Claude, Gemini, Grok. Todos funcionan del mismo modo. Predicen la siguiente palabra de una secuencia. Ven «the cat sat on the» y predicen «mat». Escala eso a billones de palabras y obtienes algo que suena inteligente. Pero LeCun dice que no ENTIENDE nada. No puede razonar. No puede planificar. No puede predecir qué pasa cuando empujas un vaso desde una mesa. Un niño de dos años puede hacerlo. GPT-5 no puede. Por eso la IA alucina. No tiene un modelo de cómo funciona realmente el mundo. Solo predice palabras. ¿Su solución? Algo llamado JEPA. En vez de predecir palabras, aprende cómo funciona el MUNDO FÍSICO. Representaciones abstractas de la realidad. No lenguaje, sino física. Piensa en lo que eso significa. La IA actual puede escribir tus correos. La IA de LeCun podría diseñar un coche, dirigir una fábrica, operar un robot o diagnosticar a un paciente sin alucinar y matar a alguien. El CEO de AMI lo dijo perfectamente: «Las fábricas, los hospitales y los robots necesitan una IA que comprenda la realidad. Predecir tokens no basta». Y aquí viene lo que de verdad me parece una locura… LeCun no es un outsider lanzando piedras. Literalmente construyó los cimientos sobre los que funciona ChatGPT. Sabe exactamente cómo operan estos sistemas porque ayudó a crearlos. Y después de ver durante tres años a toda la industria correr en una dirección, levantó mil millones de dólares para correr en la dirección OPUESTA. Sin producto. Sin ingresos. Sin calendario. Solo investigación pura. Les dijo a los inversores que podrían pasar AÑOS antes de producir algo comercial. Pero aun así lo financiaron en solo cuatro meses. Mientras tanto, OpenAI acaba de levantar 120.000 millones de dólares y todavía no puede evitar que sus modelos inventen cosas. Anthropic está construyendo una IA tan peligrosa que teme lanzarla. Google está quemando miles de millones intentando ponerse al día. Y el hombre que lo empezó todo dice que todos están resolviendo el problema equivocado. Dos ganadores del premio Turing levantaron 2.000 millones de dólares en tres semanas apostando EN CONTRA de todo el enfoque de los LLM. LeCun en AMI. Fei-Fei Li en World Labs. Las personas más inteligentes de la IA están construyendo en silencio la salida de la tecnología sobre la que todos los demás están apostando su futuro. O están equivocados y la industria billonaria de los LLM sigue imprimiendo dinero. O tienen razón y todas las empresas de IA del planeta acaban de construir sobre unos cimientos que están a punto de agrietarse. ¿Tú qué piensas?

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