Δw ∈ ℝⁿ
Junghun Kim
Abstract
$\Delta w \in \mathbb{R}^n$ traces adapter optimisation derived from one person's words and shows no model-generated image. A corpus of the painter Ayako Rokkaku's own words, curated from nine source documents, was mapped by Doc-to-LoRA to 2,396,160 LoRA factor parameters. I optimised zero-initialised factors toward this fixed target for 500 Adam steps with decaying gradient noise, rendering selected projections of the resulting trajectories in one, two and three dimensions and sonifying per-layer gradient magnitudes. Its only model-derived material is parameter change. The work was exhibited at P61 Gallery, Berlin, 3 April--30 June 2026, in Breathing with the Chaos: Berlin Edition, featuring works developed through the Total Museum of Contemporary Art's 2nd AI Art Hackathon.
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