
AlexAndrade.Net | Software engineer
6.5K posts

AlexAndrade.Net | Software engineer
@AlexAndradeNet
Master Software Engineering, MBA and Project Management Specialist | Senior QA Automator Engineer









Esta es una jugada muy inteligente de Perplexity y evidencia el impacto de la creación de Peter con OpenClaw. ¡Acaban de lanzar “Personal Computer”! Ya abrieron la waitlist inicial 👇

👀 Siempre es una maravilla leer a Bernardo. Creo que concuerdo mucho con todo lo que dice y a mi también me gustaría creer que esto será un multiplicador. Veremos que ocurre. Y bueno, este consejo para quienes estéis empezando o seáis juniors. Es muy importante.


Yann LeCun (@ylecun ) explains why LLMs are so limited in terms of real-world intelligence. Says the biggest LLM is trained on about 30 trillion words, which is roughly 10 to the power 14 bytes of text. That sounds huge, but a 4 year old who has been awake about 16,000 hours has also taken in about 10 to the power 14 bytes through the eyes alone. So a small child has already seen as much raw data as the largest LLM has read. But the child’s data is visual, continuous, noisy, and tied to actions: gravity, objects falling, hands grabbing, people moving, cause and effect. From this, the child builds an internal “world model” and intuitive physics, and can learn new tasks like loading a dishwasher from a handful of demonstrations. LLMs only see disconnected text and are trained just to predict the next token. So they get very good at symbol patterns, exams, and code, but they lack grounded physical understanding, real common sense, and efficient learning from a few messy real-world experiences. --- From 'Pioneer Works' YT channel (link in comment)















Cardiologist wins 3rd place at Anthropic's hackathon. Out of 13,000 applications. Built in 7 days by Michał Nedoszytko MD. Coded day and night - in the hospital, in the cloud, while flying from Brussels to San Francisco. A few years ago, it would have been impossible for a doctor to build this alone in just a couple of days. AI changed that. The project is called postvisit.ai. It is an AI agentic care platform for patients. Including reverse AI scribe it is a companion that guides the patient from the moment they leave the doctor's office. Powered by the massive context window of Opus 4.6, it allows patients to explore their full medical history, connected devices, Evidence Based resources and external data sources — all in one place. Today, the barrier to entry has vanished; even a practicing physician can build an application from scratch.



Last month, the Journal reported that the Pentagon was already considering cancelling its contract worth up to $200 million with Anthropic amid disagreement over the use of Claude models, particularly with regard to domestic surveillance and autonomous lethal operations. verity.news/story/2026/pen…






