Sol LeWitt posited that "The idea becomes a machine that makes the art." In the computational present, this machine has transitioned from a conceptual metaphor to a literalized, algorithmic entity. L(AI)bor is a procedural and performative artwork. It interrogates the shifting topographies of authorship and labor. The work positions the machine as a collaborative cognizer rather than a mere instrument. It probes the uneasy tension between aesthetics and algorithm. It stages a performance between the artist and an AI agent through a cybernetic feedback loop. The artwork examines how conceptual and procedural authority is delegated to a machine-learning system. This inquiry moves beyond the historical paradigm of AI as an assistant and frames the system as a co-producer of meaning.

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This work originated through a month-long performative residency that unfolded within a post-digital factory where the boundaries between artistic creation, computational procedure, and operation collapse into one another. The space is not a neutral container for aesthetic experimentation. It is an intentionally structured environment designed to test how production is reorganized. The daily workflow mimics an industrial workplace ritual. The artist wears a workman’s uniform and punches in on a timecard. A customized GPT model produces a new set of textual painting instructions each workday. The artist responds through embodied interpretation and material execution. This post-digital factory is a site where the boundaries between human intent and machine logic blur into a singular operational flow, highlighting the industrialization of creative labor.

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The artist executes these tasks through material negotiation and iterative documentation. This collaboration results in paintings and etched PCBs. The paintings capture the human interpretive response to machine logic. The PCBs serve as physical manifestations of the underlying algorithmic structures. The L(AI)bor agent provides probabilistic propositions. These demand tacit, materially negotiated forms of human response. Through recursive cycles of instruction, enactment, and reflection, the studio becomes a field of operational co-production. Thought is made visible as a practice distributed across humans and machines. Execution is cognitive, not mechanical. Material resistance is generative, not obstructive. The physical friction of the medium provides essential feedback for the system.

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The artwork no longer resides solely in the stability of an idea or the mechanics of execution. It exists within an operational ecology. Concept, code, perception, and embodied action co-produce meaning. Instruction constitutes a relationality between human and machine. A co-modeling emerges from enacted studio practice. Several propositions become evident. The concept is generated, not declared. Instruction is dynamic, not stable. Authorship is distributed, not centralized. L(AI)bor proposes art as a site where thought becomes operational. It is a site where the operation itself begins to think. This ontological shift moves art toward the process of algorithmic becoming.