Gennaro Support

06/11/2026

06/11/2026

No automatices lo que todavía no entiendes.

Muchas empresas quieren implementar IA para ahorrar tiempo, reducir costos y operar más rápido.

Pero hay una verdad incómoda:

Si automatizas un proceso roto, no lo arreglas.
Lo rompes más rápido.

La automatización no corrige datos sucios.
No ordena responsabilidades confusas.
No elimina pasos inútiles.
No convierte un flujo mal diseñado en una operación eficiente.

Solo acelera lo que ya existe.

Por eso, antes de usar IA o automatización, necesitas responder mejor:

Quién vive el problema todos los días.
Qué proceso realmente merece automatizarse.
Cuándo debe entrar la automatización.
Dónde se rompe el flujo.
Por qué sigue ocurriendo.
Cómo vas a medir si mejoró.

La pregunta no es:
“¿Qué herramienta de IA usamos?”

La pregunta correcta es:
“¿Qué parte de nuestro caos estamos a punto de acelerar?”

Primero entender. Luego automatizar.
A mejores preguntas, mejores respuestas.

05/17/2026

https://l.facebook.com/l.php?u=https%3A%2F%2Fcybersecuritynews.com%2Ffirst-public-macos-kernel-exploit%2F%3Ffbclid%3DIwZXh0bgNhZW0CMTAAYnJpZBExWTdoS05jZ1gzVGxURlpPV3NydGMGYXBwX2lkEDIyMjAzOTE3ODgyMDA4OTIAAR7Mt2wWATsR306V4buTmEunhq7Vpr1qqPARQ8DB7hc1GyNt6jALt-cdU5Qi6A_aem_ECw2Ekos5fmAc4HiyhH_AQ&h=AUDtiv-Q2g3sGtGsXChvYlhgzRkJdQG9c06BAFOAltfjvA_nYM9BSbkQmHjoKAT9AJq-IW7fMJuOVtJWtSiVMersQKpbwHrrsOEpMOlp0sTUbPVFiLNC-TWsa8j6px9rj5HGf3m8_8b-G-rY9kfMSQ&__tn__=-UK-R&c[0]=AUCGkWL2kEpN5UTHafpd8i0YpyyD4LxvsOYXMPYPKTE5F1YQ2Tw-mkLeN5q6NzxT3OH0lzmSqdNACEO91jO1GgjxW7Ixu9jMlSLE5ZZcByt5ELW7qiDye9fxXRlKLqaaRQ

Apple's M5 silicon has reportedly been exploited for the first time in a public macOS kernel memory corruption attack, successfully bypassing the company's notable hardware-level memory protection.

05/13/2026

f you use ChatGPT like Google, don’t blame AI for mediocre results.
That is one of the biggest mistakes people make today.
Many users open ChatGPT, type a vague one-line question, get a shallow answer, and then conclude that AI is not that impressive.
But the problem is not the tool.
The problem is the prompt.
A bad prompt produces generic output.
A strong prompt creates better thinking, clearer structure, sharper analysis, and more useful results.
Here is the real difference:
Google mindset:
search, skim, click, repeat.
AI mindset:
brief, guide, refine, collaborate.
When you give ChatGPT context, a role, an objective, constraints, and the format you need, the quality of the output changes dramatically.
That is when AI stops being a curiosity
and starts becoming a real competitive advantage.
The uncomfortable truth is this:
many people are not using AI poorly because they lack access.
They are using it poorly because they have not learned how to think in prompts.
And that changes everything.
In this new era, prompting is not just a technical trick.
It is a communication skill.
Better prompts. Better outputs. Better decisions.
That is part of the journey:
From Mainframes to AI.
How are you using ChatGPT today:
like a search engine, or like a real thought partner?