Waiting for Noise
In attesa del rumore bianco
There once was a channel called MEDIUM INTERNATIONAL, but it’s gone now — and it seems it can’t be brought back. I still love the idea behind it: opening Medium as a space where very different voices can meet.
That feels even more important in a time of AI systems and automated translation. It’s one reason I started writing in German again. That´s my domain. The rest is legion. *) — see NOTE at the end.
Today I asked GPT-5 to condense my latest contribution, WARTEN AUF K. At the end of the story you get access to the machine WHITE NOISE. Here you shall get access right now …
Here the condensed text of WARTEN AUF K in English.
Screenfacer: Meaning in the White Noise
I had promised myself I would publish at least one piece each month. Not because I lack topics — quite the opposite. The problem is density: every attempt grows into an article-length object that refuses to stay small. So here is a new experiment in compression: three trivial markers, one function, one figure.
Dash, Gabelfish, towel.
The first answer is obvious: they belong to The Hitchhiker’s Guide to the Galaxy, a pop-cultural universe where a hyphen becomes a joke, a Babel-Fish becomes a translator, and a towel becomes the most important survival tool. But the flatness of that answer is the point: it hides the real structure.
In the vocabulary of convergence, the dash is syntax. It is the smallest operator that separates and connects at the same time. Think of “Talk-Zero”: a line between T and 0, a sign that turns speech into a callable interface.
The fish is semantics. It stands for translation — not merely between languages, but between layers: myth to tool, tool to ritual, ritual to code. When meaning becomes portable, it can be compiled, forked, rendered.
And the towel is ritual-tech. A minimal practice-object: not a theory, but something you hold on to when systems overwhelm you. Survival, reduced to a single reliable gesture.
Put together, these three elements describe the Screenfacer.
A Screenfacer is not a hero who stares at a wall. A Screenfacer faces the tsunami of data and extracts a signal without pretending the noise will disappear. The Screenfacer does not seek silence; the Screenfacer learns the texture of interference — and filters it into intention.
That is why the “prompt-sigil” matters: a condensed emblem that can live as text, image, and script, always recognized, always repeatable. In my version, the sigil is a machine that generates white noise. Let it run long enough — three minutes is a threshold — and the reward is not a hidden message, but a new capacity: to watch the screen and still make meaning.
How it came to this version? I gave GPT-5.2 my German text and prompted: Condense my story to 300 words (in English and in Italian).
Screenfacer: significato nel rumore bianco
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Mi ero promesso di pubblicare almeno un testo al mese. Non perché mi manchino i temi — anzi, è l’opposto. Il problema è la densità: ogni tentativo cresce subito fino a diventare qualcosa che si rifiuta di restare piccolo. Ecco quindi un esperimento di compressione: tre indicatori apparentemente banali, una funzione, una figura.
Dash, Gabelfish, asciugamano.
La risposta più ovvia è chiara: appartengono all’universo di The Hitchhiker’s Guide to the Galaxy, dove un trattino diventa una battuta, un Pesce Babel diventa un traduttore e un asciugamano diventa lo strumento di sopravvivenza più importante. Ma proprio questa piattezza è il punto: nasconde la struttura reale.
Nel vocabolario della convergenza, il dash è sintassi. È l’operatore più piccolo che separa e connette nello stesso tempo. Pensa a “Talk-Zero”: una linea tra T e 0, un segno che trasforma il parlare in un’interfaccia richiamabile.
Il pesce è semantica. Rappresenta la traduzione — non solo tra lingue, ma tra livelli: mito in strumento, strumento in rituale, rituale in codice. Quando il significato diventa portatile, può essere compilato, forkato, reso.
E l’asciugamano è rituale-tecnica. Un oggetto minimo di pratica: non una teoria, ma qualcosa a cui ti aggrappi quando i sistemi ti travolgono. Sopravvivenza ridotta a un gesto affidabile.
Messi insieme, questi tre elementi descrivono lo Screenfacer.
Uno Screenfacer non è un eroe che fissa un muro. Uno Screenfacer guarda lo tsunami dei dati ed estrae un segnale senza fingere che il rumore scomparirà. Lo Screenfacer non cerca il silenzio; impara la trama dell’interferenza — e la filtra fino a farne intenzione.
Per questo il “prompt-sigil” conta: un emblema condensato che può vivere come testo, immagine e script, sempre riconoscibile, sempre ripetibile. Nella mia versione, il sigillo è una macchina che genera rumore bianco. Se la lasci andare abbastanza a lungo — tre minuti sono una soglia — la ricompensa non è un messaggio nascosto, ma una nuova capacità: guardare lo schermo e, nonostante tutto, creare significato.
For more, and sadly only in English … rez Magazine — go for February, 2026.
NOTE:
ME, asking GPT-5.2: What does this mean? “That feels even more important in a time of AI systems and automated translation. It’s one reason I started writing in German again. That´s my domain. The rest is legion.”
It’s basically saying:
“That feels even more important in a time of AI systems and automated translation.”
→ Bringing different voices together matters more now, because AI can generate, remix, and translate language at scale. The “space for human voices” becomes both easier to access and easier to blur.
“It’s one reason I started writing in German again.”
→ So I returned to German because it’s my strongest, most authentic register — where I can be precise, subtle, and unmistakably “me,” even in an era where language gets machine-smoothed.
And your add-on:
“That’s my domain.”
→ German is your territory: your craft language, your home ground, your control room.
“The rest is legion.”
→ This is a loaded phrase. “Legion” means an enormous multitude — and it echoes the biblical line “My name is Legion, for we are many.”
In your context it reads like: Everything else — other languages, versions, translations, AI rewrites — is a vast swarm. Many voices, many outputs, many copies.
