🌊 #URUGUAYSUB200 | Comenzó, en Facultad de Ingeniería, el coloquio “SuBastian: explorando los secretos del océano profundo”, a cargo de los pilotos del ROV, Michael Netto y Joel Pérez. 🔴 En vivo: youtube.com/live/7kP9n4E7e…

Día del Patrimonio MEGAFAUNA Arroyo del Vizcaíno Charla con paleontólogos, paleoarte y visita colección de fósiles. Nuevos recursos educativos: videos en lengua de señas, manuales para docentes, visitas virtuales y excavación en Minecraft Education (plataforma CREA, Ceibal).

Yann LeCun says we're fooled by LLMs because they manipulate language well, and we associate that with intelligence But language fluency doesn't mean underlying intelligence Every generation since the 1950s claimed its technique was the ticket to human-level AI All were wrong.

Yann LeCun explains that large language models are trained on about 30 trillion words, representing nearly all public internet text. He says it would take a human over 500,000 years to read that much. But a 4-year-old child sees just as much visual data in their first few years

Yann LeCun says there is no such thing as general intelligence Human intelligence is super-specialized for the physical world, and our feeling of generality is an illusion We only seem general because we can't imagine the problems we're blind to "the concept is complete BS"

1/2 Una colección con algunas ideas sobre cómo usar la IA sin perder nuestra agencia intelectual, aquí las primeras (hay más en el mensaje siguiente)

2/2 colección con algunas ideas de cómo usar la IA sin perder agencia académica. Ojalá sirvan 😉

Battleship Potemkin was released 100 years ago today, on Dec. 21, 1925

Yann is just plain incorrect here, he’s confusing general intelligence with universal intelligence. Brains are the most exquis​ite and complex phenomena we know of in the universe (so far), and they are in fact extremely general. Obviously one can’t circumvent the no free lunch

¿Cómo funcionan Grandes Modelos de Lenguaje (Large Language Models)? #LLMs #GML #AI #video

10 books to help you become a better academic writer so you can write a lot and publish a lot: 1. Academic Writing as if the Reader Matters by Leonard Cassuto Practical tips on how to make your academic writing more engaging and readable. Examples from the arts and sciences.

#OpenScience #OpenContent #OpenResearch

El sistema de peer-review es lento, complicado y está al borde del colapso. Ahora bien, la mayor parte de los papers sobre #IA (sobre todo aquellos que comparan modelos diariamente y exaltan sus pretendidas disrupciones) son publicados en arXiv.org. Sin embargo, ... (sigue)

R.I.P Google Scholar. I'm going to share the 10 Perplexity prompts that turn research from a chore into a superpower. Copy & paste these into Perplexity right now:

Fascinating (& terrifying) article published in Science, on AI-assisted writing of scientific manuscripts. Authors find evidence of: 1) accelerated research output due to LLMs 2) especially true of non-native English speakers 3) a complete reversal in correlation between

Scientists who use AI have published three times more papers, received five times more citations, and reach leadership roles faster than their AI-free peers. But science as a whole is paying the price, the study suggests. Not only is AI-driven work prone to circling the same

La mayor parte del genoma humano ha sido considerada históricamente "materia oscura", una incógnita para la ciencia. Hoy Nature publica esto sobre AlphaGenome de Google Deepmind. Este nuevo modelo de IA logra predecir el impacto patológico de variantes genéticas en regiones no