Política de privacidad para el modelo GPT – Escuela Sabática

 

Política de privacidad para el modelo GPT – Escuela Sabática

Última actualización: 26 marzo, 2025

Este asistente GPT ha sido creado con fines educativos y espirituales, para acompañar a los usuarios en el estudio de la lección de Escuela Sabática publicada por la Iglesia Adventista del Séptimo Día.

1. No se recolectan datos personales

Este modelo no recopila, almacena ni comparte ningún dato personal del usuario. Las interacciones son procesadas exclusivamente por el sistema de OpenAI, bajo su propia política de privacidad.

2. Uso de acciones (Actions)

Las acciones programadas, como /mostrarBienvenida, son utilizadas únicamente para mostrar contenido estructurado dentro del entorno del asistente. Estas acciones no acceden a servidores externos, ni envían, reciben o almacenan información fuera de la plataforma de OpenAI.

3. Propósito del modelo

El asistente tiene fines exclusivamente formativos, no realiza diagnósticos personales, no da consejos médicos o legales, ni sustituye el estudio bíblico personal o la orientación espiritual directa.

4. Enlaces a terceros

Si se proporcionan enlaces (por ejemplo, a recursos como egwwritings.org), se hace únicamente con fines de referencia. No se recopilan datos desde esos sitios ni se establece conexión automática alguna.

5. Cambios en esta política

Esta política puede actualizarse en cualquier momento. Las actualizaciones estarán disponibles en esta misma dirección.

Back Between Tags, Ideas, and GPTs: Another Day to Remember

 

Information, Organization, and History

Today was one of those days when it felt like more than just organizing files — something about how we think changed, too.

Yes, we started by talking about tags, categories, and structures. But soon, we realized we weren’t just tagging books — we were organizing ways of looking at knowledge.

A tag is not just a descriptor. Today, we understand it more deeply: it’s a doorway, a clue, a way of anticipating connections that are still invisible but intuitively relevant.
When that happens—when naming something forces you to think more deeply about it—the system stops being just a system and becomes a form of expanded reading.

We worked with tables, glossaries, and mental maps without actual maps.
From a long, winding conversation—the kind that gets messy and enlightening simultaneously—we pulled out a set of principles and phrases that will stay with us beyond this day.

Some even deserve to be engraved on the walls of this project:

“A digital library without relationships is just a well-organized cemetery.”

What a phrase. What a dart.

And it’s not that we lack books. What we’re missing is a way to reconnect them to who we are, what we think, and what’s coming.

We also took a game-changing step: we began designing a way to prepare resources so that a GPT model could    
understand them better.
Yes, we’re not just organizing for ourselves anymore. We’re also organizing for an assistant intelligence that can read and think with us.
And that’s a whole new level.

The GPT-aware module — which just hours ago was only a latent idea — is now part of the system.
We created new facets, intentions, and ways of telling the model: “This is what I want you to see here.”

And if that wasn’t enough, we built a master index of everything we’ve created.
Not to brag — that would be trivial — but to return to this point one day and know exactly where we left off and how to keep growing.

What we learned today doesn’t fit in a list of files.
It’s something else.

✔ Meaningless order is just noise.
✔ Tagging well is an epistemic act.
✔ Thinking with AI doesn’t mean handing over the keys to thought — it means opening new doors to think better.

Tomorrow, we’ll continue.
And hopefully, with the same care, the same tone.

Because yes, we’re building a system.
But also — without even realizing it — we’re building memory.