@notsorryart

Based in the experimental AI art space, notsorryart investigates machine learning tools through direct application of Stable Diffusion and ControlNet frameworks. Their technical practice integrates large language models with visual generation systems, documenting the process through a dedicated Substack publication. The ongoing residency at Sari Studio provides a platform for this research-based approach. The artist's methodology centers on testing AI capabilities within established artistic contexts while examining the cultural impact of automation in creative fields. Their published analyses focus on the technical and conceptual evolution of AI art tools, particularly the shifting dynamics between human and machine creativity. This work spans both practical implementation and theoretical discourse. Through systematic documentation and public engagement, notsorryart contributes to the growing body of knowledge around computational art practices. Their residency output and written commentary address specific challenges in AI art production, from technical constraints to philosophical considerations. The work positions itself at the convergence of speculative design, machine learning, and contemporary art dialogue.