Qué difícil se volvió todo. La sensación de haber sido educado para un mundo que no existe más. Sin respeto ni responsabilidad profesional. Con parámetros de idoneidad totalmente alterados. Todo parece dar lo mismo. El desconcierto abruma. Muy desalentador
I did not see this one coming. BREAKING NEWS folks!
Midjourney, yes the AI image company, just launched a real medical device that feels like it's straight out of Star Trek.
https://t.co/LSs2zbYViM
They’ve unveiled the Midjourney Scanner, the first working prototype of Full Body Ultrasonic Computational Tomography. It uses a ring of thousands of tiny transducers to fire ultra-precise sound waves through the body. The returning echoes are captured at a staggering 17 gigabytes per second, and the 806 terabytes of gathered data are then reconstructed by a 2 petaflop compute system into a highly detailed 3D map of your entire internal anatomy — organs, tissues, blood vessels, etc., in 60 seconds.
The resolution is extreme: each sensor can resolves motion smaller than the width of an atom, detecting internal tissue details down to half a millimeter. And unlike MRI or CT scans, it uses no radiation, just sound. Think of it like getting an ultrasound from the 22nd century.
The ambition is breathtaking. Midjourney wants to build a fleet of 50,000 of these scanners, capable of delivering a billion full body scans per month. That's enough to make comprehensive full body imaging available to every person on Earth.
They’re not hiding it in cold, clinical hospitals either. The vision includes placing these scanners inside what look like Midjourney spas, turning what’s usually an annoying medical procedure into something genuinely pleasant.
This is Star Trek level healthcare infrastructure: fast, safe, non-invasive full body imaging at planetary scale. If they pull it off, it could fundamentally shift medicine from reactive treatment to proactive, early detection on a global level.
Progress (and Midjourney going full medical) marches on. 🩺🚀
EL CREADOR DE CLAUDE CODE YA NO ESCRIBE PROMPTS
Boris, la persona que construyó la herramienta, soltó esto en una entrevista:
"Ya no escribo prompts. Escribo loops, y los loops hacen el trabajo. Mi trabajo es escribir loops."
Mientras la mayoría de devs sigue puliendo el prompt perfecto, él ya pasó a otra cosa.
En 30 minutos enseña su setup diario real:
→ Claude Code + loops + workflows dinámicos
→ Su flujo de trabajo de cada día
→ Cómo aplicarlo desde hoy
Vale más que cualquier curso de vibe coding de 500$.
Gratis. Subtitulado a español e inglés.
Y después lee esto: todo lo que necesitas saber sobre loops para aplicar lo que cuenta ↓
Guarda los dos. Este es tu plan del finde.
You have noticed it. ChatGPT feels dumber than it used to. Your prompts that worked six months ago produce worse results now. The writing sounds flatter. The ideas sound safer. The internet itself feels like it is shrinking. Every article reads the same. Every email sounds the same. Every answer sounds like it was written by the same voice.
You thought it was you. It is not you.
Researchers at Oxford and Cambridge published a paper in Nature proving what is happening. They call it Model Collapse.
Here is the mechanism in one sentence. AI trained on AI-generated data gets dumber every generation until it forgets what real human data looked like.
The internet is filling with AI-generated content. Blog posts. Articles. Reviews. Comments. Social media. AI companies scrape the internet to train the next generation of models. Which means the next generation of AI is being trained on the output of the current generation.
Each cycle loses information. Not randomly. It loses the rarest, most unusual, most creative parts first. The researchers call these the "tails of the distribution." The weird ideas. The unexpected perspectives. The things that made the internet feel human. Those disappear first.
What remains is the average. The safe. The expected. The bland.
Then the next generation trains on that. And loses more. And the next generation trains on that. And loses more. The researchers proved this is not a slow decline. Major degradation happens within just a few iterations. Even when some of the original human data is preserved.
They tested it on large language models. On image generators. On statistical models. The pattern was the same every time. The output converges toward a narrow, flattened version of reality that looks nothing like the original data.
The lead researcher put it plainly. "Large language models are like fire. A useful tool. But one that pollutes the environment."
The pollution is invisible. You cannot see which sentence on the internet was written by a human and which was written by AI. Neither can the AI that is about to train on it. And once the tails are gone, they do not come back. The damage is irreversible.
This is not a prediction anymore. It is a diagnosis.
The internet you grew up on was built by humans writing things no algorithm would have written. Strange, personal, imperfect, alive. That internet is being diluted. One generation of AI at a time. And the models trained on what remains are learning a smaller and smaller version of the world.
Model Collapse is not a technical problem. It is a cultural one. The thing that made the internet worth reading is the thing that disappears first.
@TugoNews La mayoría de las cadenas de bloques son públicas y transparentes, lo que significa que el historial de todas las transacciones (origen, destino, monto y fecha) queda registrado de forma inalterable.
Last week, Argentina’s President Milei announced a new legal category for non-human corporations – companies run by #AI agents or robots. Like traditional corporations, they would be granted legal personhood. This could generate enormous new wealth, but very worryingly, it would also hand AIs an all-purpose key that grants access to our financial, economic and political systems. Full op-ed in today's @FT: https://t.co/w6DzOwByiq