These anomalies represent "attractors"—mathematical rifts where the AI’s training data collapses into a specific, unintended archetype. These are not programmed entities, yet they persist across different prompts and seeds. They are the ghosts in the code, reminding us that within the black box of neural weights, there are "dark corners" where the AI’s internal logic forms patterns that human designers never anticipated and cannot easily explain. Linguistic Glitch-Tokens and the Void
The Atlas of Anomalous AI proposes several strategies to mitigate AI anomalies, including: atlas of anomalous ai pdf
Think of it as a bestiary for the digital age. Much like medieval atlases mapped the edges of the physical world with illustrations of sea monsters and strange lands, the maps the failure modes of deep learning. Linguistic Glitch-Tokens and the Void The Atlas of