🔴 MONETIZACIÓN EN X
Arrancó el nuevo programa para creadores de contenido.
Para participar hay que tener:
✅ 500 seguidores verificados
✅ 500 mil views de verificados en 90 días
✅ Cuenta limpia de violaciones a TyC
✅ Cuenta Premium empresa o personal
❌ NO usar IA para automatizar publicaciones o respuestas
❌ NO publicar contenido -texto, video o imágenes- sacadas de otra cuenta
❌ NO coordinar con otros usuarios para empujar una publicación artificialmente
Te comprometés a publicar contenido original "no publicado antes", aunque los términos hablan de en su mayoría, no hay una regla clara. Podés seguir publicando pavadas o comentando lo que quieras. El objetivo es que no te bajes videos de otras redes ni de X y lo repostees como tuyo.
Tenés que elegir entre unos 30 tuits del último mes de una selección media caprichosa de 10 que te parezcan que cumplen con la idea de ser ideas originales, memes que vos creaste o tu toque editorial sobre un tema. Yo creo que tenía de este mes otros tuits que encajaban mejor pero no aparecen en la posible selección, supongo que es a propósito.
La revisión no es automática.
Seinfeld Bitcoin Highlights 🎬₿
A montage of all the Seinfeld Bitcoin clips so far!
If you’ve been enjoying them, please retweet and follow. More on the way.
Volver al pueblo y que sea un acto reflejo esquivar control policia en CuchilloPaz
En mi defensa la última vez me querían retener el auto porque no tenia VTV (tenía 1 año de antiguedad el auto…)
@Conanbatt Resumido: Muy buena, los ejercicios fueron muy acordes. Aunque me gustaría saber cómo lo analiza el recruiter luego.
ps: te mandé DM con el link por si queres probar
With the growing use of AI coding Agents, many of us have been creating Skills/Agents/References to help with anything from PL/SQL to HTML/CSS/JS.
Recently we got a brand new repository from Oracle with a big set of skills about Oracle database development, which was great and I encourage everyone using AI to take a look at.
The APEX Team is probably already working on (and using) such Skills internally, but I created an Idea in the APEX Ideas App just in case.
You can support it here 👇
https://t.co/0qlbzYJeZ8
It is hard to communicate how much programming has changed due to AI in the last 2 months: not gradually and over time in the "progress as usual" way, but specifically this last December. There are a number of asterisks but imo coding agents basically didn’t work before December and basically work since - the models have significantly higher quality, long-term coherence and tenacity and they can power through large and long tasks, well past enough that it is extremely disruptive to the default programming workflow.
Just to give an example, over the weekend I was building a local video analysis dashboard for the cameras of my home so I wrote: “Here is the local IP and username/password of my DGX Spark. Log in, set up ssh keys, set up vLLM, download and bench Qwen3-VL, set up a server endpoint to inference videos, a basic web ui dashboard, test everything, set it up with systemd, record memory notes for yourself and write up a markdown report for me”. The agent went off for ~30 minutes, ran into multiple issues, researched solutions online, resolved them one by one, wrote the code, tested it, debugged it, set up the services, and came back with the report and it was just done. I didn’t touch anything. All of this could easily have been a weekend project just 3 months ago but today it’s something you kick off and forget about for 30 minutes.
As a result, programming is becoming unrecognizable. You’re not typing computer code into an editor like the way things were since computers were invented, that era is over. You're spinning up AI agents, giving them tasks *in English* and managing and reviewing their work in parallel. The biggest prize is in figuring out how you can keep ascending the layers of abstraction to set up long-running orchestrator Claws with all of the right tools, memory and instructions that productively manage multiple parallel Code instances for you. The leverage achievable via top tier "agentic engineering" feels very high right now.
It’s not perfect, it needs high-level direction, judgement, taste, oversight, iteration and hints and ideas. It works a lot better in some scenarios than others (e.g. especially for tasks that are well-specified and where you can verify/test functionality). The key is to build intuition to decompose the task just right to hand off the parts that work and help out around the edges. But imo, this is nowhere near "business as usual" time in software.