
Carlos
380 posts

Carlos
@c_sanve
Fortune favors the bold. Tinkerer @MaisaAI_ views are my own


NEW: Ferrari unveils the Luce, its first electric vehicle designed by Jony Ive.


Más de 1.000 personas han colaborado en alinear la IA pública ALIA, contribuyendo a mejorar en sesgos de género y valores éticos La secretaria de Estado @mariagv entregó el premio ganador después de la final celebrada en #talentarena26 👏🏼¡Enhorabuena! digital.gob.es/comunicacion/n…

La iniciativa de IA española del Gobierno, ALIA, tiene un modelo específico entrenado en lenguaje legal y administrativo: huggingface.co/SINAI/ALIA-es-… Me interesa para PideInfo, así que he montado Gemma 4 y ALIA para compararlos. Primer resultado: tiene una ventana de contexto tan pequeña (8192 tokens) que no puede procesar la información de documentos + contexto doctrinal que usa PideInfo al generar reclamaciones 🫠🫠🫠🫠🫠 Eso sí, de valores éticos debe ir sobrada... Si la puedes usar para algo.



REFUGIO Madrid 2026 Una jornada para conectar al mejor talento técnico en Madrid. refugiomadrid.com

I’ve always believed the No.1 application of AI should be to improve human health. That work started with AlphaFold, and now at @IsomorphicLabs with the mission to reimagine drug discovery and one day solve all disease! We are turbocharging that goal with $2.1B in new funding.




Every LLM is a walled garden in a race to beat the hell out of the next foundational model. They all are hoping it’s not like search with one dominant player. They have to invest like it might be. That won’t change for ???? Every enterprise has to keep up with their changing and new models and decide when to move. When to go side by side. When to delete. That’s going to be stressful. And as long as those models don’t truly integrate, and will that ever happen, the amount of work for enterprises to maintain AI and be competitive is going to keep on growing and getting more expensive. And there will be a time when genAI models will be superseded by world view models and who knows what comes after that It’s going to take so many people specializing in various layers and levels of AI In the next 5 years enterprise AI is going to be a mess, with all the different implementations and flavors and sources and models. It’s not inconceivable there can be hundreds of different models in each big enterprise. Just because the company got overwhelmed trying to keep everything tied together. Which in turn could lead very large companies to choose to divest subsidiaries rather than thinking there is benefit from scale. Scale may be a boat anchor to your business. Purely because of AI Curious what everyone thinks ?














