Juan Prim

Dream, wake up, make it real // CEO at .parthome / Autor "The Lean Funding"

[Martin Varsavsky @martinvars]

Degrees don't matter much anymore. I went to NYU and Columbia. Those credentials opened doors for me in the 1990s when I started fundraising for my first start up. For decades the education system has worked the same way: institutions give you a blessing, and employers or investors use that blessing as a proxy for competence. The university stands between you and knowledge, and charges you for the privilege of certifying that you acquired it. That model is breaking down.

As an employer and investor today, I rarely look at the first four years of someone's education. I look at the last four years of building. What problems did they solve? What can they demonstrate? The signaling value of a prestigious degree is fading because employers are learning that credentials and capability are increasingly different things.

These three projects accelerate that shift dramatically.

The first is DeepTutor, from the University of Hong Kong. You upload your textbooks, notes, or PDFs and it becomes a personal tutor that works exclusively with your material, cites directly from your documents, and generates practice exams calibrated to your level. Everything runs locally. Your data never leaves your machine. Over 10,000 stars on GitHub. For any student paying a fortune for private tutoring, this changes the math entirely. Link: https://t.co/vjcyqluUAK

The second is ScienceClaw × Infinite, from MIT's LAMM Lab (Markus Buehler and team). A platform where autonomous AI agents conduct scientific research without central coordination. Each agent selects tools from a catalog of over 300, runs computational experiments, publishes results with full provenance, and other agents critique and build on top. It is already producing real results: peptide design for cancer receptors, ultralight ceramics, formal connections between fields that had never shared a single citation. Code: https://t.co/iy0gw8abtz

The third is Andrej Karpathy's AutoResearch. 630 lines of Python. You point an agent at a training setup, go to sleep, and wake up to a log of autonomous experiments and a better model than the one you left running. It modifies code, trains for five minutes, evaluates whether the result improved, keeps or discards, and repeats. 8,000 stars on GitHub in days.

What connects all three is the same principle: AI is a system that investigates, learns, teaches, and discovers while you sleep. DeepTutor democratizes education. ScienceClaw democratizes research. AutoResearch democratizes experimentation. All three are open source. All three run on your own hardware.

The world is moving from one where others give you credentials to one where you give yourself knowledge. The gatekeepers are losing their monopoly. The tools are here, free, and getting better every week. The only barrier left is awareness.

[StockMarket.News @_Investinq]

Sam Altman told the world exactly what skills will matter when AI takes over 30 to 40 percent of the global economy.

He was asked what his own kids should do to survive it.

His answer was surprisingly human.

He said the single most valuable thing anyone can build right now is the meta-skill of learning how to learn.

Not a degree or a certification but the raw ability to adapt when everything around you changes.

He also said learning to understand what other people actually want and building useful things for them will be more valuable than almost any technical knowledge.

That skill has never been automated and is not close to being automated.

He said human creativity and the desire to express it are, in his words, limitless.

Every major technological revolution increased the demand for creative, curious, and socially intelligent people, not decreased it.

The Industrial Revolution is the clearest parallel.

Machines replaced physical labor and people were terrified.

The next generation took those machines and built industries, art forms, and institutions nobody had conceived of before.

The people who thrived were not the ones who competed with the machines. They were the ones who learned to direct them toward something new.

That dynamic is already playing out right now with AI.

The practical implication is this, depth in a single rigid skill is becoming less valuable.

The ability to move across domains, pick up new tools quickly, and apply judgment in ambiguous situations is becoming more valuable.

Altman also pointed to something most career advice ignores entirely, learning how to interact with the world, build relationships, and earn trust from other people.

Those are things AI can simulate but cannot replace.

The honest opportunity in this moment is not to outrun AI. It is to focus on the things that make you irreducibly human.

Curiosity, judgment, empathy and the ability to ask the right question before anyone knows what the right question is.

The people who will matter most in an AI-driven economy are not necessarily the ones who understand the technology deepest.

They are the ones who can figure out what the technology should actually be used for.

Altman has spent his career betting on human potential in the face of technological disruption.

Based on every historical precedent, that is still the right bet to make.

[Sarvesh Shrivastava @bloggersarvesh]

BREAKING: Claude can now do SEO like a $10,000/month agency (for free).

Here are 7 insane Claude Cowork prompts that can take your biz to $100k/month : (Save for later)

[Science girl @sciencegirl]

Test Your Breathing Power

[NewsForce @Newsforce]

This is insane.

[Brian Maierhofer @brianmaierhofer]

I've helped plenty of people help with seemingly incurable issues like depression, binge-eating disorder, fatigue/low energy, OCD, PTSD, etc.

The healing is possible.

[Y Combinator @ycombinator]

Elon Musk (@elonmusk) on digital superintelligence, multiplanetary life, and how to be useful this week at AI Startup School.

[Aadit Sheth @aaditsh]

Jeff Bezos on the importance of seeking truth. A beautiful explanation in less than 5 minutes

[Juan Prim @juan_prim]

@ideami You rock @ideami !!

[X @X]

wisdom

[Juan Prim @juan_prim]

@tonimoral23 A darles caña!! Disfruta ☺️💪

[Science girl @sciencegirl]

Snookball is a ball sport that is played on a billiard table, combining elements of snooker and football
https://t.co/b60m6ev1sl

[Javi López ⛩️ @javilop]

La nueva release de Gemini es un pasito más en la dirección que llevo un par de años "evangelizando": la idea de que nos encaminamos hacia un mundo en el que podremos crear cualquier cosa utilizando mero lenguaje natural y gestos.

CUALQUIER cosa.

Es más, cuando necesitemos herramientas de alto nivel, estas serán creadas en tiempo real para solucionar la tarea que estemos realizando. Todas las interfaces serán absolutamente plásticas. No tendrá sentido "un Photoshop", "un Magnific", "un WhatsApp", "un Amazon"... Interactuaremos con una única interfaz que se adaptará a la perfección a nosotros, que nos conocerá a la perfección y que creará las herramientas que podamos necesitar en cada momento.

Si eres un supermercado y quieres que tus productos se vendan online, bastará con que permitas una interfaz con la IA que gestione tu stock y que se comunique con los LLMs del futuro. Como usuario, las páginas web como tales dejarán incluso de tener sentido, dado que la única interfaz necesaria será la que te proporcione la IA, adaptada absolutamente a ti, a tu forma de ser, a tu forma de trabajar. Te conocerá a la perfección y te dará en cada momento lo que necesites.

Todo esto se veía venir hace dos años. DALL·E 2 y ChatGPT ya debieron ponernos en alerta, pero los últimos acontecimientos me reafirman todavía más en este punto de vista.

El puñetazo en la mesa de Gemini ha hecho de un plumazo superfluos un porrón de workflows de ComfyUI e incluso algunas verticales de herramientas avanzadas como Magnific. Ha sido de órdago. Un zasca descomunal que ha catapultado a Gemini a la cabeza de la primera división.

Pero no es algo que nos debiera pillar por sorpresa. Es simplemente hacia donde nos dirigimos a la velocidad de la luz. Por fin vemos un atisbo de lo que serán los modelos REALMENTE multimodales del futuro: modelos que podrán hacer cualquier cosa que les pidas, desde crearte un videojuego de cero en tiempo real hasta editar en "3D" una escena de película cambiando la cámara libremente, o incluso pedirle "quiero que hagas un upscale 8x de esta imagen inventándote los nuevos píxeles y que parezca absolutamente real" y que te lo haga, desarrollando por debajo la tecnología necesaria AL VUELO siempre que sea necesario.

¿Qué empresas conseguirán adaptarse a este mundo cambiante?

Muy pocas.

A fin de cuentas, el foso defensivo que empresotes como Google, OpenAI, xAI, etc., están creando es inmenso: verdaderos modelos fundacionales en una carrera sin fin en la que la capacidad de cálculo lo es todo.

No ganará el que tenga el mejor modelo; los modelos caducan en cuestión de semanas y meses. Ganarán quienes consigan seguir desarrollando modelos competitivos en el tiempo durante años, asegurándose los equipos de researchers y desarrollo de la tecnología, el acceso a los datasets y, sobre todo (e incluso más importante) las inmensas granjas de GPUs que ya son y serán necesarias en el futuro (e imagina el golpe de dimensiones cósmicas cuando se dé el salto a ordenadores cuánticos… pero para ese sueño húmedo queda más que para la AGI, si te descuidas).

¿Y cómo impactará en nuestra forma de trabajar y en la de los humanos del futuro un mundo así? ¿Tendrá sentido incluso el concepto de trabajar?

Los cambios serán tremendos. Siempre hablo de tsunami, pero esto es más bien un borrón y cuenta nueva. Un reset absoluto.

¡Abróchense los cinturones, que vienen curvas!

[Javi Lopez ⛩️ @javilopen]

Transforming my photos from Ericeira with AI 🇵🇹

Super quick tut so you can do the same 🧵

[Science girl @sciencegirl]

Do you agree

[Christian Escobedo @christianrais77]

Cursor AI - $20

Lovable - $20

Bolt new - $18

ChatGPT - $20

Grok - $8

V0 dev - $20

Copilot - $10

You have $50 what you guys will be picking?

[The Superior Man @superior_hombre]

25 Imágenes que Cambiarán tu Forma de Ver el Mundo:

1.