Image Making Fatigue in the Era of Machine Learning

Explore the implications of transferring experimental films into physical spaces and the challenges posed by machine learning advancements in this thought-provoking conference talk. Delve into how the boundaries between original works and imitations are blurring, leading to a silent restructuring of society. Examine the role of artists as templates for a digitally assembled future and how this impacts traditional hierarchies. Consider the consequences of history collapsing into the present as machines learn and process human history. Reflect on the dissolution of copyright, the erosion of distinctions between originals and reproductions, and the potential for oversaturation in image-making. Contemplate the implications of this technological singularity on phenomenological experiences and the infinite reworking of iconography.