Sebas Pérez

[Midjourney @midjourney]

A technical dive inside our new "Midjourney Scanner"

[TechHalla @techhalla]

Ever seen AI 2D animation this clean? Not guessing poses anymore!

I used proper movement sheets as reference on Magnific and it changed everything. Here's how 👇

[Javi Lopez ⛩️ @javilopen]

NASA has launched a website where you can follow the Artemis II mission to the Moon in real time 👩‍🚀

Absolutely amazing.

Link 🔗👇

[80 LEVEL @80Level]

JankyAnims showcased a new update for their third-person parkour runner, Tachyon Flow, now smoother than ever.

Welcome back, Mirror's Edge: https://t.co/WMRudUciBV

[El Programador Senior @5eniorDeveloper]

Vaya, hasta que coincidimos en algo 🤣

​Estoy haciendo un sistema "sencillo" y decidí vibecodear algunos CRUDs con un poco de lógica.

​El proyecto base tiene buenas prácticas y una estructura definida para que la AI la use como referencia.

​Mi flujo: le pasaba el script de la tabla para que me generara todos los componentes.

​A simple vista todo estaba perfecto, hice unas pruebas y todo funcionaba bien, así que no revisé el código...

​Ayer decidí darle un uso normal (BAU) y empezaron a salir algunos errores; en ese momento revisé el código y noté que había cosas mal hechas.

​Corregir todo ese desmadre me tomó unas 2 horas, que relativamente es poco tiempo, para todo el código generado.

​Las herramientas actuales de AI sí ayudan bastante, pero si no entienden el código que les arroja, van a perder más tiempo tratando de solucionar errores pendejos.

[Google AI @GoogleAI]

Listen up 🔊 We’ve made some updates to our Gemini Audio models and capabilities:

— Gemini’s live speech-to-speech translation capability is rolling out in a beta experience to the Google Translate app, bringing you real-time audio translation that captures the nuance of human speech

— Gemini 2.5 Flash and 2.5 Pro Text-to-Speech preview models bring improved adherence to style prompts, precision pacing with context-aware speed adjustments, and character voice consistency for multi-speaker scenarios

— Gemini 2.5 Flash Native Audio is now updated, with improvements to handle complex workflows, navigate user instructions, and hold natural conversations

[kache @yacineMTB]

now that coding's been solved i spend most of my time thinking and thinking is honestly so much harder than writing code

[Carlos Santana @DotCSV]

Google apuntito de sacar el mejor modelo de edición de imágenes hasta la fecha. Si no sabéis de qué se trata, buscad nano-banana (nombre en clave del modelo) y encontraréis un montón de ejemplos.

[Cristóbal Valenzuela @c_valenzuelab]

The more I meet people who've gone deep into generating AI media, the more I realize we're all reaching the same conclusion: this is a new medium. Not an evolution of something else. Something entirely new, the way photography and film were new.

To understand any medium, you need to look beyond its surface to its core. Some technologies merely augment existing mediums. Collapsible paint tubes changed painting but didn't invent a new medium. Others create completely new forms of expression. Optical lenses, light-sensitive chemicals, and mechanical shutters didn't improve painting. They weren't better brushes or richer pigments. They birthed photography. A medium that captures light itself rather than representing it through human interpretation.

Every new medium brings its own affordances, primitives, and possibilities. Its own audience. Its own generation of creators. When moving pictures first appeared, people saw them as recorded theater. They pointed cameras at stages and filmed plays. It took years of experimentation to discover what the medium actually enabled. Eisenstein discovered montage. That juxtaposing unrelated shots could create new meaning. Porter discovered continuity. That audiences could follow action across cuts. Someone finally moved the camera and changed everything.

Surface similarities deceive us. A painting and a photograph both arrange color and composition across a plane. But mastering paint means understanding pigments, brushes, mixing, color theory. Mastering photography means understanding lenses, shutter speed, aperture, light itself. Yes, composition knowledge transfers. Most knowledge doesn't.

When photography emerged, we made a critical error: we let painters judge it. Because on the surface it looked similar. They dissected this new form through the lens of their own medium, anchoring on what they knew. Predictably, they concluded photography would never match oil's texture, never capture color the way mixed pigments could. They were right and also completely missed the point. Photography wasn't trying to be painting. They were thinking by analogy, judging the new by the standards of the old.

I see this same mistake happening with AI media. Some filmmakers and photographers declare it will never achieve what their mediums achieve. They're right. That's not what this medium is about.

Judging AI purely through the lens of film is like painters judging photography purely through the lens of painting. The surface might look similar. Moving images, composed frames. The core is fundamentally different.

AI has its own affordances. Creation is asynchronous. At scale. It benefits from quantity. You navigate through latent space, sampling rather than capturing. You provide references that drive generation. You work in real time, watching possibilities emerge. Some knowledge from painting, film, and games transfers here. Most doesn't.

Mediums always influence each other. Photography didn't kill painting. It freed painting from documentation, letting it explore abstraction, impressionism, and the surreal. Each new medium changes what the others can become.

AI is the birth of a new medium of perception and expression. We're in the early days, still discovering AI's equivalent of montage, of the moving camera, of all those breakthrough moments that reveal what a medium actually is. The filmmakers judging it by film standards will miss what's actually happening. The painters missed photography. The theater critics missed cinema.

The only way we'll uncover what this medium can do is to stop judging it by what came before. Stop looking at the surface. Start experimenting with the core. We're not watching films evolve. We're watching something being born. This is a new medium

[Evil Rabbit @evilrabbit_]

It's a rabbit!
https://t.co/NRsQwgUjn3

[Sebas Pérez @SebasXs]

@UNIVERSO_1899 Lamine se puso la 10 y se convirtió en Ansu Fati 😥

[Atto ( Comm' open ) @Atto_Wnd]

Old stuff..🌸🌸

[Sebas Pérez @SebasXs]

@DotCSV Steve Jobs, eres tú?

[Massimo @Rainmaker1973]

Mesmerizing LEGO art

[📹 anderson_brick_art]

[80 LEVEL @80Level]

.@yuasayuu showed us the workflow behind the Sweet Time with Café au Lait project, discussing modeling and texturing a watercolor-style 3D illustration, modeling a grainy cookie surface, and creating a hand-painted feel through texturing and lighting using Blender.

Read here: https://t.co/LM1cowSY0Q

[LTX.io @ltx_io]

Today we’re introducing our latest open source video model—and it’s a big one.

This release sets a new bar for speed, quality, and control. It’s faster than anything in its class, packed with new features, and ready to run on your own hardware.

Let’s break it down 👇

1/7

[Google AI Developers @googleaidevs]

Run Gemma 3 27B on your desktop GPU 🔥
Our new QAT-optimized int4 models slash VRAM needs (54GB -> 14.1GB) while maintaining quality. Now accessible on consumer cards like the NVIDIA RTX 3090 via @ollama, @huggingface, @lmstudio & more.