Good Machine Bad Machine

Good Machine Bad Machine explores the fragile boundary between obedience and error, optimization and deviation.It asks a simple but unsettling question:When does a machine stop being “good”?

The project draws conceptual inspiration from Bruce Nauman, particularly his use of repetition, contradiction, and instructional language to expose how systems shape behavior.Here, the machine is trained to comply, to perform, to align—yet each act of compliance carries the possibility of malfunction, resistance, or excess.

Through looping statements, operational logic, and self-referential commands, Good Machine Bad Machine treats the machine not as a neutral tool, but as a subject formed through rules, evaluations, and expectations.Goodness and badness are no longer moral states, but operational conditions.

This project does not seek resolution.Instead, it remains suspended in repetition—where alignment is temporary, failure is productive,and the machine continues to operate.