Nostalgia is usually described as a feeling — a warm ache for the past, a sentimental return to moments that seem purer, slower, or more meaningful than the present. We tend to believe nostalgia is intentional, that we choose to remember what we loved and to long for what we lost. But a closer look at how memory, culture, and algorithms work suggests a different interpretation: nostalgia is not...

The Dead Theory of Bionical, Neural Cognitive Systems The dream of bionical, neural cognitive systems was born from a powerful metaphor: that the human mind could be rebuilt as a machine, and the machine could eventually become a mind. For decades, neuroscience, cybernetics, and artificial intelligence converged around the idea that cognition could be decomposed into functions, translated into...

Babylon was never just a city; it was a system. A symbolic machine of language, power, and hierarchy that organized reality through shared myths and imposed order through centralized meaning. In ancient form, Babylon unified people by forcing them into one story, one law, one vertical structure of interpretation. Today, Babylon has returned, but inverted. Instead of one grand narrative, we...

Infinity loops have become the invisible skeleton of contemporary systems. They operate quietly inside technology, psychology, economics, and politics, presenting themselves as progress while functioning as repetition machines. An infinity loop is not simple recurrence; it is recurrence that validates itself. Its output becomes its next input, and over time the system forgets its origin. What...

There is a growing fracture in contemporary cognition between what is signaled and what is narrated. Signals belong to the raw domain of transmission: electrical impulses, data packets, sensory inputs, neural firings. Narration belongs to interpretation: meaning, story, ideology, identity. Between these two domains lies a distorted reflective space — a bad mirror geometry — in which signals are...

Neuroscience has traditionally advanced by organizing knowledge around stable themes: perception, memory, emotion, language, and motor control. These domains provided a linear structure for understanding the brain, suggesting that mental life could be divided into coherent functional chapters. This thematical linearity—the tendency to map cognition into ordered conceptual sequences—has shaped how...