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Muestra original de guion para una cafetería ficticia (no es un cliente previo).
Apertura: ¿Tu café está amargo? Antes de añadir azúcar, prueba esto.
Guion: La molienda, el tiempo de extracción y la limpieza del equipo pueden cambiar el sabor. Cambia una sola variable cada vez y compara. Si ajustas todo a la vez, no sabrás qué funcionó. En tu próxima taza, anota qué cambiaste y cómo sabe.
Texto de publicación: Una taza, un cambio, una comparación. ¿Qué ajustas primero cuando tu café no sale como esperabas?
Servicio: cinco guiones originales de 30–45 segundos, cinco textos de publicación y diez variantes de apertura por 59 EUR. Una revisión. Entrega en 24 horas desde recibir el briefing. Trabajo asistido por IA y revisado. No incluye vídeo, voz ni publicación; no se garantizan resultados de audiencia.
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Creatives on Contra have earned over $150M and we are just getting started
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☕️ Currently working on: Café Crave
I’m currently building a premium café website for Café Crave, focusing on creating a smooth, immersive experience instead of a typical restaurant website.
The hero section is built around a 3D-style product carousel, layered visuals, elegant typography, and interactive elements to give the site a more premium feel.
What I’m working on:
✨ Interactive 3D food & beverage carousel
🎨 Premium café-focused UI/UX
🌀 Smooth animations & transitions
📱 Responsive design
🛒 Online ordering experience
🍰 Menu & product presentation
☕ Warm, sophisticated visual identity
Still working on the project, but I’m really enjoying how it’s coming together.
More updates coming soon. 👀
https://cafe-crave-gold.vercel.app/ Working...........
#WebDevelopment #WebDesign #UIDesign #UXDesign #RestaurantWebsite #CafeWebsite #FrontendDevelopment #3DWebDesign #WIP #Contra #FreelanceDesigner
Creative work
Why AI Is Still Unreliable ...
(and will probably remain like that)
Many today fear losing their jobs and businesses because of the rise of artificial intelligence. This is, of course, a justified fear that many people have. A machine that can generate long pieces of text in minutes, that can create incredible images and videos, that can generate code and translate discourses in over 150 languages.
Who hasn't thought of the possibility of AI replacing many of us, i.e., taking our jobs?
But there is a real-life example that shows why AI is unreliable and why humans will always be needed, even with the dawn of such interesting technology.
When AI Decieves Hundreds of People
A couple of days ago, hundreds of people landed in the city of Jurilovca, in Southeast Romania. There, many believe, was an annual fish festival, where people could listen to good music, drink wine, and, of course, eat fish.
However, things turn out completely wrong. There was no festival in this city, and nobody had ever planned for one in this city. The mayor did not know about it, not even the town's drunk.
So how did we end in such a situation?
The Failure of AI
The people who arrived in the city of Jurilovca were taken there by various travelling agencies. These agencies got the information that a fish festival would be held in the city from ChatGPT.
Yes, because ChatGPT told them that there will be a fish festival in that city, and many of these professionals in the tourism industry organized trips there without even verifying whether the information is correct or not. In other words, they entrusted ChatGPT, an LLM.
The Moral of the Story
ChatGPT is only a tool that can help you speed up certain tasks and be a helpful companion in research. However, it can never replace a human. Just like some people were fooled about a so-called fish festival in a small Romanian city, others might
- get pieces of code full of errors
- receive bad translations from one language to another
- craft articles full of misinformation and nonsense
- make plans that don't rise to the expectations
No matter how you put it, it is never a good idea to put your trust in AI blindly and completely.
Traduciendo Cardiología para IA: Por qué "Heart Failure" NO es "Fallo Cardíaco" en LATAM
Los traductores generales traducen "Heart Failure" como "Fallo Cardíaco".
En los últimos 3 meses en el proyecto de Texas A&M University / Outlier AI revisé más de 500 casos de cardiología EN > ES LATAM.
Un pequeño cambio de palabra, una gran diferencia en precisión clínica.
En LATAM, en contexto clínico real, el 90% de los cardiólogos decimos "Insuficiencia Cardíaca".
Otros 3 errores que rompen un modelo de IA médica:
"Stroke" no es "Accidente". Es "Accidente Cerebrovascular" o "Ictus".
"Stent" no se traduce. Se deja "stent".
"Screening" no es siempre "Tamizaje". En México y Argentina usamos más "Detección oportuna" o "Cribado".
La IA necesita localización, no traducción literal.
¿Te pasó ver un error de traducción médica que podría haber sido peligroso?
Contame abajo, estoy armando una guía de errores críticos para modelos de IA.
