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Mind blowing.

Me quedé pensando en lo profundamente convencido de que tenés que ser buena gente que tenés que estar para tener esos gestos en medio de un pico de concentración como supongo está.

Esto. Y, agrego, habla de la buena imagen de Beatriz Argimón en (ahora sabemos que casi) todo el espectro político uruguayo.

Cuando los humanos superan a la inteligencia artificial: llaman a construir una IA para, con y por todos y todas ladiaria.com.uy/ciencia/articu…

KHIPU is more than a conference; it’s a vibrant community! With the spirit of collaboration at its core, we are proud to announce the launch of the second edition of the KHIPUx program, designed to expand this spirit across the heart of Latin America.

El regreso de la energía nuclear parece cada vez más evidente... y probablemente necesario.

This will surprise you: sine and cosine are orthogonal to each other. What does orthogonality even mean for functions? In this thread, we'll use the superpower of abstraction to go far beyond our intuition. We'll also revolutionize science on the way.

Se viene la Escuela de Primavera 💐en Deep Learning 🤖 en Exactas UBA ! Deadline para aplicar: 30 Junio Hay becas de viaje, alojamiento, transporte y cuidado para estudiantes de Argentina y toda LATAM! Programa : primavera-dl.github.io Inscripción: docs.google.com/forms/d/e/1FAI…

Demis Hassabis' conjecture during his Nobel lecture: "Any pattern that can be generated or found in nature can be efficiently discovered and modelled by a classic learning algorithm"

Describa el siglo XXI con una anécdota.

¿Sabéis qué historiador cambió para siempre la forma en que enseñamos Historia en nuestras aulas? 🏫 Eric Hobsbawm revolucionó nuestra disciplina con conceptos que usamos a diario sin darnos cuenta. Os cuento por qué sigue siendo imprescindible 📚🧵educahistoria.com/eric-j-hobsbaw…

Three years ago I taught a semester-long course centered on The Pleasures of Probability, and I still recommend it to every student curious about the art of chance. The book’s easy style makes puzzles like the Monty Hall problem fun and clear. It has simple examples-like the

Ah, la ciencia, cómo jode con esas preguntas tan raras 🙂🤓

The paper may convince us to lower the hype, but I haven't found it helpful for distinguishing "true thinking" from " the illusion of thinking". Has anyone?

Beyond the perhaps superficial semantic distinction between "reasoning" and "pattern matching", there is a fundamental gap in the practical capabilities and behavior of these systems. You don't create an invention machine by iterating on an automation machine.

I too have been mesmerised at the power of LLMs to write proofs, bib files, code, literature reviews, slides, etc. I feel I wasted 30 years of research at Wits, Cambridge, Berkeley, UBC, Oxford and DeepMind doing things that could have been easily automated. Life would have

Ilya Sutskever, in his speech at UToronto 2 days ago: "The day will come when AI will do all the things we can do." "The reason is the brain is a biological computer, so why can't the digital computer do the same things?" It's funny that we are debating if AI can "truly think"

Me tocó estar en este tribunal de la Maestría en Ciencia de Datos y Aprendizaje Automático. Precioso trabajo. Felicitaciones!

Nor did I.

¡Atención estudiantes de todo el #Uruguay! 📢 Abierta la postulación para #PREXI2025 Participa en proyectos de investigación y da tus primeros pasos en #Ciencia Tienes hasta el 16/06, 14h 🔗pedeciba.edu.uy/es/noticia/pri… #Investigación #Estudiantes #CienciaUruguay #SomosPEDECIBA