The work opens with six musicians reading a text aloud, written as rhythm and disguised as language. The instruction is to read it as an elderly "African" villager recounting a near-fatal encounter with a lion. No further guidance is given. What follows, spontaneously and without apparent self-awareness, is a spectrum of responses ranging from neutral delivery to unmistakable cultural mimicry. I make no editorial intervention. The discomfort this produces is precisely calibrated: the audience watches educated, culturally aware professionals activate reflexes embedded in a shared cultural field — without knowing they are doing it. The mechanism, not the individual, is on trial.

Angela Merkel closes the section — a New Year's Eve address, accelerated into stop-motion. At this speed, the distinction between the Chancellor performing national optimism and a musician performing a lion story collapses entirely. Speech becomes rhythm. Authority becomes just another modulation of collective perception.

In the street, six musicians follow a portable teleprompter through Berlin, reading a percussion score — pure rhythm, tones freely assigned — ignoring the city with total commitment. On stage, each performs a second score derived from what the street produced, written on four-line staves with the fifth line absent, its position left to individual imagination. Behind each performer, their own street video plays. Live and recorded, fixed and imagined, six performers and six prior selves — none of it fully separable.

The concert hall, Teleprompter and Nubes y Nómadas suggest, has always been a teleprompter: an institutional frame that transforms reading into interpretation, compliance into expression, and the performer's obedience into the audience's aesthetic experience. It is one of the most durable acoustic fields we have — and one of the least examined.

This text was partly written by Claude (Anthropic) in close collaborative dialogue with the artist, using large language model inference — a process that predicts and generates text from patterns learned across vast amounts of human writing. The irony of using a statistical text-prediction machine to write about the automation of human expression was not lost on either party.