Jose Luis Ucieda

Fall seven times, stand up eight (chinese proverb).

[Jose Luis Ucieda @jlucieda]

@Bemarin_ Buen trabajo Beatriz. Tal vez puedas dar una sesión/clase en la asignatura de Auditoría de la Facultad. Mucha suerte para el Premio!

[Jose Luis Ucieda @jlucieda]

@ElenaBarto707 @UAM_Madrid @gisbertana Enhorabuena por el trabajo. A falta de poder leer tu TFG, me queda la duda de si has analizado las demandas o las sentencias, o ambas!

Mucha suerte para el concurso!

[Jose Luis Ucieda @jlucieda]

@heygurisingh Claude

[Jose Luis Ucieda @jlucieda]

@Zephyr_hg NEWS. Thanks for sharing.

[Jose Luis Ucieda @jlucieda]

@alex_prompter AI, thanks

[Jose Luis Ucieda @jlucieda]

@emollick @SilverJacket Nailed it!

[Jose Luis Ucieda @jlucieda]

@emollick Labs listen to you. I bet Codex will be somehow available for all (with limitations), once they finish testing it and avoid problems from massive usage like those Ghibli images all over.

[Jose Luis Ucieda @jlucieda]

@_amayamendiko Desde el corazón, gracias!

[UAM Autónoma Madrid @UAM_Madrid]

El Consejo Social de la #UAM y la iniciativa Celera abren el plazo de inscripción para el Programa UAM Celera, una acción formativa destinada a identificar y acelerar el talento, formando líderes con las competencias necesarias para transformar la sociedad.

✔️ Gratuito.
✔️ Impartido por profesionales durante 2025.
✔️ Dirigido al estudiantado de último curso de Grado, Máster o Doctorado y egresados de los tres últimos cursos académicos. 

📅Plazo de inscripción abierto hasta el 08/01/25.
📄Más info: https://t.co/RoZ3pdXBKn
✍🏻Formulario de inscripción: https://t.co/QGwWP5qnca

[Jose Luis Ucieda @jlucieda]

@CAPITALRADIOB @LuisVMunoz @aedashomes @Telefonica @omodaspain Mi más sincera enhorabuena por ese aniversario. Gran ejemplo Capital de Radio de Economía y Empresa. Lástima habérmelo perdido. El próximo no me lo pierdo. Todo lo mejor para el equipo. Os sigo escuchando.

[Jose Luis Ucieda @jlucieda]

@emollick What does that mean exactly? AI has been fully trained by all available (and relevant) data? What happens when you are fully trained with all available sources?

[Jose Luis Ucieda @jlucieda]

@LionBlogosphere @emollick That is exactly what you'd expect a (white collar) employer to say. That's the dilemma!

[Ethan Mollick @emollick]

Two key things in this paper:
1) The finding: “Crowds” of AIs match or exceed crowds of human forecasters in their ability to predict future events
2) The context: @PTetlock & co-authors are experts on forecasting. More social scientists should experiment with LLMs in their field

[OpenAI @OpenAI]

Introducing Sora, our text-to-video model.

Sora can create videos of up to 60 seconds featuring highly detailed scenes, complex camera motion, and multiple characters with vibrant emotions.

https://t.co/YYpOAcrXQ3

Prompt: “Beautiful, snowy Tokyo city is bustling. The camera moves through the bustling city street, following several people enjoying the beautiful snowy weather and shopping at nearby stalls. Gorgeous sakura petals are flying through the wind along with snowflakes.”

[Jose Luis Ucieda @jlucieda]

@emollick Has anyone asked Copilot or ChatGPT for cool names? Sparky, Luna, Zara, Remy, Milo, Nova, Cora, Leo, Ava (from copilot), QuantumMind, AthenaAI, Neuroflare, InfiniThink, ZenithAI, EclipseAI, CosmoLogic, VoyagerMind, OmniIntel, AuraIntellect (from ChatGPT 4). Some look nice.

[Jeff Dean @JeffDean]

I’m very excited to share our work on Gemini today! Gemini is a family of multimodal models that demonstrate really strong capabilities across the image, audio, video, and text domains. Our most-capable model, Gemini Ultra, advances the state of the art in 30 of 32 benchmarks, including 10 of 12 popular text and reasoning benchmarks, 9 of 9 image understanding benchmarks, 6 of 6 video understanding benchmarks, and 5 of 5 speech recognition and speech translation benchmarks. Gemini Ultra is the first model to achieve human-expert performance on MMLU across 57 subjects with a score above 90%. It also achieves a new state-of-the-art score of 62.4% on the new MMMU multimodal reasoning benchmark, outperforming the previous best model by more than 5 percentage points.

Gemini was built by an awesome team of people from @GoogleDeepMind, @GoogleResearch, and elsewhere at @Google, and is one of the largest science and engineering efforts we’ve ever undertaken. As one of the two overall technical leads of the Gemini effort, along with my colleague @OriolVinyalsML, I am incredibly proud of the whole team, and we’re so excited to be sharing our work with you today!

There’s quite a lot of different material about Gemini available, starting with:

Main blog post: https://t.co/NzSycJl7aE

60-page technical report authored by th Gemini Team: https://t.co/CEdMRyYSLo

In this thread, I’ll walk you through some of the highlights.

[Jose Luis Ucieda @jlucieda]

@emollick Science supports it. (Self) Evidence proves it. Let's make it an art! Thank you Ethan!

[Jose Luis Ucieda @jlucieda]

@cpoyatos Qué gran reto!

[Jose Luis Ucieda @jlucieda]

@emollick @carlfranzen Congratulations for this recognition to your ongoing effort to support the education community on the usage of AI. You really made a difference! Thanks.

[Ethan Mollick @emollick]

To give you a sense of place, here is a newly updated map of the entire universe to (log) scale, by @budassiuniverse.

Spacecraft, planets, large-scale galactic structures - they are all there if you zoom in. https://t.co/lGOWWAPh1u