Sometimes the human is real and the words are synthetic.
That combination complicates the usual online question of whether an account is “a person” or “a bot.” A performer can be physically present, make timing decisions, react to an audience, choose tone and body language, and still deliver dialogue generated moments earlier by a machine.
Researchers have experimented with this arrangement for years. In the Improbotics project, human actors wore headphones and received lines generated by an artificial improvisor during live theatre. The performers had to integrate those machine-written lines into an unfolding human performance. The 2018 paper “Improbotics: Exploring the Imitation Game Using Machine Intelligence in Improvised Theatre” describes the setup and the audience experiment around it.
More recent work has deployed large language models in professional improv settings, but the basic authorship problem is already visible in that earlier experiment.
A generated line still needs a performer
Suppose an AI system sends an actor the sentence, “Tell him the submarine belongs to your grandmother.”
The model supplied the wording. The performer decides how to say it, when to pause, whether to whisper it, whether to look terrified, and how to react when the other actor responds. The resulting moment belongs to neither source alone.
This is different from an autonomous chatbot that directly publishes text. It is also different from a human using AI privately to draft something and then editing it before publication.
The machine is participating in the creative loop in real time while a human remains the social body carrying the performance.
Mixed authorship is not necessarily deceptive
If an audience is told that performers are receiving generated dialogue, the arrangement can be the entire point of the show.
Problems arise when viewers are led to believe that spontaneous speech is solely the performer’s invention. That can matter in entertainment, live streaming, customer interaction, interviews, or any environment where authenticity and improvisational skill are part of what the audience thinks it is evaluating.
Disclosure does not need to reduce the human contribution to zero or declare the performer fake. It can simply describe the collaboration accurately.
Human-or-bot is the wrong unit
This kind of performance shows why the human/bot binary is becoming less useful.
One human body can deliver machine-generated text. One automated character can be supervised by several humans. A human streamer can use generated suggestions while retaining final control over what is said.
Counting the visible speaker therefore tells us little about the origin of every sentence.
For Dead Internet Theory, mixed authorship is important because synthetic content does not require synthetic people. Machine-generated language can enter public conversation through real humans.
The internet can become more machine-written without becoming correspondingly less human-occupied.
Those are separate measurements, and increasingly, they have to be.