For centuries, omnipresence, omniscience, and omnipotence were theological ideas.

Today, they look more like engineering milestones.

In this episode, we explore how AI crossed from “tool” to “infrastructure for intelligence”—and why that shift matters more than most people realize.

We’re optimizing everything.

Speed. Cost. Output.
AI is driving effort toward zero. But what if effort was never the problem?

In this episode, we explore how artificial intelligence is changing not just how we work—but how we value things.

→ Effort is where meaning lives.

Because the things that matter most were never efficient.

• Love takes time.
• Work takes effort.
• Meaning takes resistance.

As AI makes writing, thinking, and creation instant, something deeper starts to shift— not in what we can produce, but in what we care about.

We get into:

• AI and the future of work
• Productivity vs meaning
• Why friction might be essential
• What happens to love and connection in a zero-effort world

If everything becomes easy…what happens to the things that were never supposed to be?

00IA

Underexplained. On purpose.

En este episodio, ¿y si el lenguaje pudiera convertirse en un mapa?

Exploramos los embeddings: la capa donde palabras, ideas y contexto se transforman en coordenadas que las máquinas pueden procesar. Así es como la IA comprende significado, realiza búsqueda semántica y razona con el lenguaje sin “saber” realmente.

Los embeddings no son solo una función; son la base de la IA moderna, impulsando herramientas como ChatGPT y otros grandes modelos de lenguaje. Descubre cómo el significado se convierte en estructura y la comprensión en distancia dentro de la arquitectura invisible de la inteligencia.

00IA
Subexplicado. A propósito.