Intelligence Reimagined

What if artificial intelligence is better understood not as a replacement for human intelligence, but as an extension of it? The opening editorial considers AI as a new cognitive and creative instrument—one that exposes our assumptions about originality, authorship, expertise, and artistic value.

Beyond the Machine

Custom GPTs and other generative systems are often described only in terms of efficiency or automation. This article approaches them from a different angle: as systems of signs, interpretation, context, and interaction.

The result is a framework for understanding how AI tools can function meaningfully within musical and educational environments without reducing teaching or artistry to simple information retrieval.

Can AI Feel Music?

Artificial systems can increasingly identify emotional categories, model listener responses, and generate music designed to produce particular affective effects.

But recognition is not experience. Simulation is not necessarily feeling. This article examines what affective computation reveals—and obscures—about emotion, embodiment, interpretation, and the human experience of music.

Compositional Practice

What happens when computational systems move from passive tools to active participants in the creative process?

This article explores composition through an enactivist lens, asking how creativity emerges through interaction, resistance, embodied decision-making, and the negotiation between human intention and generative possibility.

Generating Contextual Spaces

Machine-learning models represent information through high-dimensional spaces in which proximity reflects contextual relationships. What might such models contribute to music analysis?

This article investigates how embeddings can provide new ways of conceptualizing musical similarity, distance, context, and structural relationships—opening possibilities that complement rather than replace established analytical methods.