In its current presentation at NODE, HUMAN ONE turns toward the feedback loop between human behavior and machine learning, asking how we are shaped by the systems we are supposedly shaping. This chapter explores a world in which we continuously submit language, images, choices, and preferences to train intelligent systems, while those same systems increasingly condition how we perform, communicate, and understand ourselves.
The explorer moves through a landscape structured by prompts, rewards, corrections, and behavioral cues, suggesting that “the human” is no longer a stable category but something being actively modeled in relation to computation.
As the next phase in the work's evolution, Pre-Human Feedback frames HUMAN ONE not as a vision of artificial intelligence after its arrival, but as a portrait of the strange transitional moment in which humans are already adapting themselves to the logic of the machine.