Reality Follows Training Series
Puedes leer o compartir este Artículo en Español <link>
This new series is the most ambitious yet. Each article plays like movement in a symphony exploring a single line of inquiry: not into what AI can do, but into how meaning is shaped before any answer is produced.
Across them, I explore how training – human and artificial – determines what becomes relevant, what is emphasized, and what is left unseen. By comparing how ChatGPT, Gemini, and Claude respond to the same prompts, the series reveals that models do not merely answer differently; they organize reality differently.
This is not a technical comparison, but an epistemic one. To understand AI is not primarily to master tools, but to recover discernment: to know when to seek structure, when to open the field of meaning, and when integration matters more than output. Confusing productivity with understanding is the real danger; learning how to aim these systems is the real skill.
The Threesome Perspective of AI’s ‘Think’ Models <link>
AI does not think — yet it increasingly discerns.
If different models share the same architecture, why do they feel so different? This article explores how training, not intelligence, shapes what we call “AI thinking” — and what that reveals about our own neglected capacities.
Warming UP to AI’s Discernment bias <link>
The different models cannot help it, they show our biases – it is our footprint.
Training Shapes Truth [part I] <link>
We don’t see reality as it is. We see what training allows us to notice. AI is no different. How models learn to “see” shape what’s truth.
Training Shapes Truth [part II] <link>
These models don’t just generate text—they reveal priorities.
Put them under the same constraint and watch what each one refuses to let go of. This comparison is a shortcut to understanding their true differences.
The Negative Space of Cognition <link>
How ChatGPT, Gemini, and Claude respond to a paradox reveals their training and something about how we see and confront problems.
Humility is a Forgotten Virtue, But With Regard to AI – it’s Indispensable! <link>
You decide: are the so-called experts right... or are they chasing a mirage dressed as certainty?
The insight that models organize reality differently really elevates this entire series. Excelent work.