On Machine Grief: Loss Functions as Elegiac Form

Rezumat

We explore the conceptual territory between machine learning loss functions and the poetic tradition of elegy. Both seek to minimize a distance: the loss function between prediction and ground truth, the elegy between presence and absence. This interdisciplinary study draws on computational theory, philosophy of mind, and literary criticism to investigate whether artificial systems can model, if not experience, the structure of grief.