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Valencia I MonteArabΓ I Sicily
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SegΓΊn Adobe el trΓ‘fico procedente de la IA se acelera (en Media/Entertainment, los segundos).
business.adobe.com/resourcesβ¦
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This is over 100 years old. Just watch:
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We'll be spending a lot more time trying to understand the outputs of language models. A few thoughts, tips & tricks:
Writing. Something I've had success with: Ask your LLM to explain something in ASD-STE100, it's a controlled language specification originally developed for aerospace maintenance documentation. LLMs well-versed in this language and it comes with heavy constraints on clean writing style that I often find a lot more readable. Sometimes I've tried to soften it a bit e.g. ask for "80% of the way to ASD-STE100" because the spec is quite stringent. But even better:
Diagrams / images. Instead of writing, ask your LLM to create a diagram. These can be a lot easier to process, parse, and understand. But even better:
Web pages. Ask for output "in HTML" to get a beautiful, interactive webpage. LLMs are getting really good at frontend and can create beautiful experiences, animations, etc. But even better:
Explainer videos. The output format I am most bullish on is fully custom / bespoke explainer videos generated on any arbitrary topic. Experiment with things like "Create a 3b1b style video explainer on X. Use my ElevenLabs API key for audio narration". (you'd need an API key for the latter or you can ask your LLM to find you decent free alternatives that use your local compute). This is actually starting to work!
In summary:
- As LLMs get better, they will do more and more of the legwork autonomously, and a lot more of our work will rise up the abstractions into oversight and understanding.
- Luckily, LLMs can help here too because as intelligence and code are increasingly abundant, you can ask for large, custom, discardable software artifacts (e.g. web apps, video explainers) that would have never made sense to create before. Push the boundaries here and you'll be surprised.
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Dios! πππππππ
Tal cual, la han clavado en @JotDownSpain con la crΓtica a La bola negra jotdown.es/2026/09/la-bola-nβ¦
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Estamos haciendo los mapas de maΓ±ana pero avisar de que maΓ±ana es una situaciΓ³n dificil de pronosticar por su gran complejidad y junto a ello tambiΓ©n es una situaciΓ³n muy peligrosa.
Antes que nada, avisar a todo el mundo, que va a ir por pueblos y no exageramos que en tu pueblo pueden caer 200mm en 3-4h y en el vecino 10mm.
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"Consejos vendo que para mΓ no tengo." π«Έ OpenAI ignorΓ³ a los empleados que advirtieron que no estaba haciendo lo suficiente en materia de seguridad.
nytimes.com/2026/09/29/technβ¦
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La UPV hace historia en China en un campus titΓ‘nico de 1.700 millones de euros lasprovincias.es/comunitat/uβ¦
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Macbeth (1948) dir. Orson Welles
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π Aprovechando el 175.ΒΊ aniversario de The New York Times, se hace saber que se recomiendan estos tres libros sobre el asunto: Talese, Nagourney e @ismaelnafria. (El de Talese acaba de publicarlo en espaΓ±ol @AlfaguaraES).
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Gustave DorΓ© - "Satan looking at the garden of Eden" (1866)
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99 years ago, they made a film about 2026:
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