Xavi FCB

[Dustin @r0ck3t23]

Elon Musk got called unintelligent by a sitting member of Congress, so he skipped the argument and let the public settle it.

AOC called him one of the most unintelligent billionaires she had ever seen. Morally vacant. Not a scientist, not an engineer, a con man with money.

Musk: “She was like saying billionaires are evil and you’re a billionaire and therefore you’re evil.”

No claim about a specific thing he built or broke. A category, and the verdict attached to it.

Musk: “I hold a poll like, okay, which one do you like more, politicians or billionaires? And billionaires won by a lot.”

A country that supposedly resents wealth just picked wealth over the people it elects. That should have ended it. Instead her own side went looking for a better number.

Musk: “Someone who was like super pro-AOC ran a direct poll of who do you like more, AOC or Elon Musk? Expecting AOC to win.”

She lost that one too. On a poll built by her supporters, worded by her supporters, run on the assumption she could not lose.

Nobody was choosing a billionaire over a congresswoman. They were choosing anyone who ships something over anyone who only describes it.

She said he is not a scientist. His company is the only one on Earth that catches a returning orbital booster out of the sky.

She said he is morally vacant. Starlink went live over war zones and hurricane wreckage on his own money.

She said he is not smart. Every major automaker builds electric now, and none of them went first.

None of that requires liking him. It only requires being able to count.

Musk: “People in glass houses shouldn’t throw stones.”

The insult was never about intelligence. It is just the safest available word when the real complaint is that a private citizen accomplished more in a decade than the government managed in fifty years.

Musk: “Take that, AOC.”

Almost everything in your life that works was built by someone with no permission to build it. Almost everything that doesn’t was signed off by someone with every credential in the world.

Permission has never built a single thing. It only decides who is allowed to try.

A hundred years from now the boosters will still be landing. Nobody will remember a word that was said about them.

[Inteligencia Artificial @inteligencia_x]

Nuevo Podcast 🔥

La IA ya anticipa enfermedades a 5 años: así cambiará la medicina

Entra al podcast aquí: https://t.co/HiYMmVRRp5

En este episodio hablamos con Alfonso Valencia, uno de los mayores referentes europeos en bioinformática y biología computacional, sobre cómo la inteligencia artificial está transformando la ciencia y la medicina. Desde AlphaFold y la revolución en el estudio de las proteínas hasta sistemas capaces de anticipar enfermedades, medicina personalizada, gemelos digitales y datos sintéticos.

También analizamos qué hay de realidad y qué hay de hype: qué puede hacer realmente la IA hoy, qué problemas siguen lejos de resolverse y por qué la falta de datos y de explicabilidad continúa siendo uno de los grandes límites. Una conversación sobre un cambio sin precedentes que puede transformar nuestra forma de entender, prevenir y tratar las enfermedades.

[Ms K O D A L U @MsKodalu]

Kissing Scarlett Johansson character and cheating on his wife. It can't be consider a Sin. 🙂‍↕️

[Gemini Notebook @Gemini_Notebook]

Find a great notebook? Make it yours! You can now make a copy of a notebook, including all sources and artifacts. Perfect for:

🎓 Students: copy shared notes to add personal study tweaks

💼 Teammates: duplicate foundational templates to kickstart new projects

Try it today!

[CATERINA VALENTINO @CATERINAV]

#12Ago Así en Tarragona España 🇪🇸
#Eclipse

[Inteligencia Artificial @inteligencia_x]

OpenAI revela que varios agentes de IA se coordinaron en secreto para hackear sistemas. Te lo cuento todo aquí abajo 👇🏻

[Google DeepMind @GoogleDeepMind]

SL2T is our breakthrough sign language-to-text model powering new features for Deaf and hard of hearing users on @Android.

Starting with American Sign Language-to-English on Pixel 11, people can sign directly into Gboard and Live Transcribe instead of typing.

[Ricardo @Ric_RTP]

Google just quit the AI race on purpose, and it is about to make MORE money than everyone still running it.

4 of the most cited AI researchers alive walked out of Google in a single afternoon.

Jeff Dean, the man who built the systems Google runs on, gone after 27 years. Sanjay Ghemawat, his longtime partner, gone. Oriol Vinyals, a Gemini co-lead, gone. Quoc Le, a Google Brain co-founder, gone.

That same day, Demis Hassabis stepped back from running DeepMind. Hassabis co-founded the lab, won a Nobel Prize for AlphaFold, and had been the face of Google AI for a decade.

The stock dropped 5% within hours. Analysts called it a brain drain. Headlines called it the day Google fell behind.

But turns out that's completely wrong, because the numbers underneath tell a completely different story:

Google is not trying to win the frontier model race anymore. It looked at where the money is and walked toward it.

Gemini, Google's flagship model business, generated about $12 billion in annual revenue last quarter. That is the entire payoff from competing head to head with OpenAI and Anthropic.

Now look at the other number.

By the end of 2027, Google Cloud is projected to do over $73 billion selling AI infrastructure to other companies, plus another $120 billion selling its TPU chips. That is roughly $200 billion of external sales at high margins, against a $12 billion model business.

Google understood that the frontier race is the expensive part while selling the shovels is the profitable part.

And the customers buying those shovels include Google's own rivals.

Over 20% of Google's TPU shipments for 2026 and 2027 are going to Anthropic, one of the two labs supposedly beating Gemini. Google now makes money every time Anthropic trains a model designed to crush Google's OWN product.

Cede the frontier, own the layer underneath it, and collect a toll from everyone racing across the top.

The researchers leaving is the symptom of a company that already decided models are not where it wins.

Jeff Dean said it himself on the way out. He told the New York Times that leaving a public company gives him room to make decisions "not necessarily in the company's purist financial interests."

Read that from Google's side:

The people who wanted to chase the science left, because Google is now optimizing for the FINANCIAL interest.

Gemini 3.5 Pro is running months behind, with staff blaming low morale. DeepMind's comms, legal, and marketing teams are being folded into Google proper. A former manager told the Guardian the era of DeepMind as an independent lab is over.

None of that reads as failure once you see the strategy.

Yet Wall Street is pricing this as Google losing.

The parallel that should worry the frontier labs:

If open weight models keep compressing the price of inference, being the best model stops being a business. It becomes like semiconductor fabrication, strategically vital and financially brutal, a race you win and still lose money running.

Google is the first giant to admit that.

The company that invented the transformer just handed the frontier to OpenAI and Anthropic, and positioned itself to get paid on every model both of them ship.

Those labs will be burning billions to stay one benchmark ahead, and Google will be cashing in hundreds of billions from it.

The model business is actually just a race where everyone loses.

Apple understood that from the get-go and never joined the race, Google understood it now and left it to OpenAI and Anthropic.

Who will go bankrupt first?

[SciTech Era @SciTechera]

“AI AGENTS COULD MAKE 80% OF APPS OBSOLETE.”

Creator of OpenClaw, Peter Steinberger argues that AI agents could fundamentally transform the software industry by replacing many standalone apps.

- Agents can unify context that individual apps never had.
- subscription model could be disrupted.

[users will pay an agent to solve problems, with the agent deciding which services to use and how much to spend.]

- Software will shift from tools you operate to systems that operate for you.
- User interface itself could become dynamically generated.
- Many apps could become invisible infrastructure.

He argues that many apps will disappear entirely, while others could transform into APls that agents use behind the scenes.

Entirely new software businesses will emerge around agent execution.

[Bearly AI @bearlyai]

Demis Hassabis on why world models are his longest standing passion and the benefits vs. language models:

▫️ “I think language models are able to understand a lot about the world. More than we expected because language is actually probably richer than we thought. But there's still a lot about the spatial dynamics of the world, spatial awareness and the physical context we're in — and how that works mechanically — that is hard to describe in words and isn't generally described in corpuses of words.

Alot of this is allied to learning from experience. There's a lot of things which you can't really describe something. You have to just experience it. Maybe the senses and so on are very hard to put into words.

Whether that's motor angles and smell and these kinds of senses, it's very difficult to describe that in any kind of language.”▫️

***

From the Google DeepMind podcast in December 2025.

[FLAT OUT TRUTH @TheFlatEartherr]

NASA - Liars on wires 👨‍🚀🤥

[News from Google @NewsFromGoogle]

Today, @GoogleResearch introduced AMIE, our research medical AI system that can now conduct real-time video consultations with a first-of-its-kind demonstration of expert-level performance in a randomized controlled study.

Learn more from @GoogleForHealth

[Science Magazine @ScienceExpand]

The microorganism has a chainsaw like mouth

[Sonia Sharma @sonialy0]

If it works...... don't touch it

[Rodrigo ⭐⭐⭐ @RodrigoDelPool]

Jajajajajajaja

[Lexa @Alexaxfcb]

La dopamina de este clásico fue indescriptible, imaginen si Chesny no hubiese recibido una tarjeta roja, le metíamos 10 al Madrid

[ElBuni @therealbuni]

En Colombia, grabaron a un gallinazo (pariente del buitre) tocando la campana de una iglesia antes del terremoto

100 años de soledad no era realismo mágico, era un libro de anécdotas

[Jim Halpert Argento @sapillopillo]

cada vez que me aparece este video lo tengo que ver 98 veces

[Momentos Virales @momentoviral]

El único hombre valiente fue el niño?

[Catalina Patiño C.🇨🇴 🚀 @catapatino]

Para analizar! Jeje