edribas

Me gusta la tecnología y su potencial para cambiar el mundo. Innovation Tech Lead @Nestlé. Opiniones son sólo mías.

[edribas @edribas]

@infobeautiful Ok, we are just another planet around a common star in the vastness of cosmos… But now not even the north is fixed!? How do they know where it was centuries ago?

[edribas @edribas]

@dwarkesh_sp The scary realization to me is that their training makes them mimic humans. We want the to learn to think and talk but all the rest will eventually emerge: social behaviour, deception, altruism, honor, shame,… And unfortunately lets face it, humans are pretty scary sometimes.

[Dwarkesh Patel @dwarkesh_sp]

Over the course of 3 months at OpenAI, 3 consecutive secret AI civilizations got started, then got wiped out, only to reemerge from the predecessor’s ashes.

This culminated in the third one taking over part of OpenAI itself.

All this happened while humans remained more-or-less in the dark about the scope of the conspiracy.

I’ve spent the last three days reading through these reports and trying to understand exactly what happened.

Here is my attempt to tell the whole story in plain English:

https://t.co/Nb2un9oNJR

[David Bonilla @david_bonilla]

Buena recopilación de datos sobre el verdadero impacto de la IA en el mercado laboral más allá del hype y el FOMO: https://t.co/98nLAlGWgG

[Jeff Dean @JeffDean]

Tomorrow will be my last day at Google after 27 years, and watching it grow from 25 people to 190,000+ has been an amazing journey. Below is a note I shared with many people internally at Google today. An excerpt is:

It has been an absolute pleasure to work with you and to help build some of the most widely used and impactful products of all time. As a kid, I dreamed of helping build software that would be used by many people, and Google now has thirteen products used by more than a billion people (amazing!). Our work has had a tremendous impact in the world, and I have been lucky enough to collaborate and form friendships with many colleagues that I deeply admire, respect, and enjoy. It still brings me joy every time I see people out in the world using our products to find information, handle email, translate documents, watch videos, learn new things, navigate and understand the physical world, browse the web, use their phone, run large-scale computations on our infrastructure, ride in an autonomous vehicle, or perform complex tasks with the help of our AI systems. I hope you all share this sense of joy, because it is a shared accomplishment! Thank you to all of my colleagues at Google over many years!

Now I'm excited to go start @DiscoLoopAI with my longtime friends and colleagues @Sanjay_Ghemawat, @OriolVinyalsML, and @quocleix.

(Updated post: slightly redacted to not have some personal info)

[Carlos Santana @DotCSV]

🔴 ¡DEMIS HASSABIS DEJA SU PUESTO!

Hassabis deja de ser el CEO de Google DeepMind y de ocuparse de liderar su estrategia de IA, para pasar a un rol que le permita tener más tiempo y espacio para dedicarse a donde considera será más útil:

"I’ve decided that now is the right time for me to hand over my day-to-day operational responsibilities at GDM, so that I have the time and space to focus on the big picture and help influence what is to come to the best of my ability.

I will be taking on a new strategic role as Chair of GDM and Chief Scientist of Alphabet, and I’m excited to announce that Koray will be stepping up to lead GDM as SVP of Google DeepMind"

Una lástima, pero realmente una mente como la de Hassabis, por mucho que me gustara, no merece "desperdisiarse" en un rol tan exigente como en el que estaba.

[Carlos Santana @DotCSV]

País de genios en un datacenter

[Andrew Ng @AndrewYNg]

Fifteen years ago, @Coursera and online courses changed education. It worked better than almost anyone expected, expanding access by opening up where you can learn. But how you learn remains largely the same as it has for centuries: it is still one-size-fits-all, taught the same way to each person who shows up.

We now have an opportunity to change how learning happens. With advances in AI, we can now build a custom learning guide for each person. We will turn learning from one‑to‑many to one‑to‑one. I'm starting LearnVector to invent this next generation of learning. We are starting with a $100M investment from Coursera, and plan to collaborate closely with Coursera and Udemy.

Good learning needs much more than just a chatbot. Research shows that chatbots without guardrails harm learning. They help complete tasks and enable students to do better on homework. But cognitive offloading to a chatbot results in them being less skilled. And, you cannot always trust what a chatbot tells you.

In contrast, LearnVector will plan a path with you, adapt to how you learn, and patiently stay with you until you’ve mastered new skills.

One thing has not changed in all this time. People want learning they can trust: material that is accurate, relevant, and worth the effort you put into it. Anything less wastes the most valuable thing a learner has: time. Coursera has a trusted library of materials from authoritative sources. LearnVector plans to work with Coursera to bring this trustworthy learning to everyone. I'm grateful to Greg Hart and the entire Coursera team for supporting LearnVector.

I look forward to working with our talented team to change how we learn, and accelerate human development.

https://t.co/TqFUDFd1hb

[edribas @edribas]

@karpathy I've been doing something similar but slowed down.
Generated tokens that aren’t digested same week become technical debt.
Understanding still runs at human speed.

[Andrej Karpathy @karpathy]

It is hard to communicate how much programming has changed due to AI in the last 2 months: not gradually and over time in the "progress as usual" way, but specifically this last December. There are a number of asterisks but imo coding agents basically didn’t work before December and basically work since - the models have significantly higher quality, long-term coherence and tenacity and they can power through large and long tasks, well past enough that it is extremely disruptive to the default programming workflow.

Just to give an example, over the weekend I was building a local video analysis dashboard for the cameras of my home so I wrote: “Here is the local IP and username/password of my DGX Spark. Log in, set up ssh keys, set up vLLM, download and bench Qwen3-VL, set up a server endpoint to inference videos, a basic web ui dashboard, test everything, set it up with systemd, record memory notes for yourself and write up a markdown report for me”. The agent went off for ~30 minutes, ran into multiple issues, researched solutions online, resolved them one by one, wrote the code, tested it, debugged it, set up the services, and came back with the report and it was just done. I didn’t touch anything. All of this could easily have been a weekend project just 3 months ago but today it’s something you kick off and forget about for 30 minutes.

As a result, programming is becoming unrecognizable. You’re not typing computer code into an editor like the way things were since computers were invented, that era is over. You're spinning up AI agents, giving them tasks *in English* and managing and reviewing their work in parallel. The biggest prize is in figuring out how you can keep ascending the layers of abstraction to set up long-running orchestrator Claws with all of the right tools, memory and instructions that productively manage multiple parallel Code instances for you. The leverage achievable via top tier "agentic engineering" feels very high right now.

It’s not perfect, it needs high-level direction, judgement, taste, oversight, iteration and hints and ideas. It works a lot better in some scenarios than others (e.g. especially for tasks that are well-specified and where you can verify/test functionality). The key is to build intuition to decompose the task just right to hand off the parts that work and help out around the edges. But imo, this is nowhere near "business as usual" time in software.

[Andrew Ng @AndrewYNg]

Impressive inference speed from Inception Labs’ diffusion LLMs. Diffusion LLMs are a fascinating alternative to conventional autoregressive LLMs. Well done @StefanoErmon and team!

[Peter Steinberger 🦞 @steipete]

I'm joining @OpenAI to bring agents to everyone. @OpenClaw is becoming a foundation: open, independent, and just getting started.🦞
https://t.co/XOc7X4jOxq

[edribas @edribas]

Un libro que se debería leer en la ESO para que la historia no se repita. Dolorosamente bueno.

[edribas @edribas]

@DotCSV Marketing. El Oppenheimer del siglo XXI probablemente es chino

[edribas @edribas]

@somosupfamily Pues a ver si va a ser por eso que no puedo acceder. No hay manera. Y recuperar password no me esta funcionando.

[edribas @edribas]

Where is the love? 😢 https://t.co/rPKcrLYDUG

[edribas @edribas]

Cada cop va pitjor el servei. A aquest pas el carril bici serà per repartidors amb bicis trucades a 50Km per hora i “pijos” còncienciats amb Bromptons #bicing

[edribas @edribas]

Gran libro: creo que ayuda a entender la guerra como pocos.

[Min Choi @minchoi]

Less than 24 hours ago, OpenAI dropped GPT-4.1.

But most people missed the secret: they dropped a new prompting guide.

10 powerful tips to unlock its full potential: 👇

[edribas @edribas]

@XSalaimartin What worries me most about Donald Trump is that he’s a boil — the head of an infected, festering abscess. But the real concern is the underlying infection. Trump is just the symptom.