Atlas Of Anomalous Ai Pdf ⟶

Studies published on databases like arXiv have revealed the same "anomalous" glitches that the Atlas predicts. For instance, research on GPT-4 with vision (GPT-4V) shows that multimodal AI "sometimes struggles to make the right inferences, for example mistakenly combining two strings of text in an image to create a made-up term". Furthermore, models like GPT-4o have shown a dramatic drop in accuracy from 95% to 18% when performing simple tasks (such as counting circles) if the conditions change. These hallucinations, misclassifications, and visual misunderstandings are the "anomalies" that engineers strive to eliminate, but which the Atlas argues are fundamental and illuminating aspects of intelligence itself.

The Atlas of Anomalous AI identifies several types of anomalies, including:

The Atlas is equally rich visually, featuring artworks by: Anni Albers, Pablo Amaringo, Refik Anadol, William Blake, Ian Cheng, Ithell Colquhoun, DeepDream, Federico Díaz, Susan Hiller, Hildegard of Bingen, Pierre Huyghe, C. G. Jung, Hilma af Klint, Emma Kunz, Paul Laffoley, Lucy Siyao Liu, Branko Petrović and Nikola Bojić, Santiago Ramón y Cajal, Casey Reas, Jenna Sutela, and Suzanne Treister. atlas of anomalous ai pdf

The work is heavily inspired by art historian Aby Warburg’s Mnemosyne Atlas

: It investigates AI's roots in divination, alchemy, and esoteric traditions. Visual Language Studies published on databases like arXiv have revealed

Finding a digital version (PDF) of this 312-page compendium is highly desirable for researchers and creatives, as the book is heavily visual and conceptual.

While snippets and essays (like Federico Campagna’s) are available on sites like Pompeii Commitment , the full book is often sought in physical form for its specific layout and visual experience. Jung, Hilma af Klint, Emma Kunz, Paul Laffoley,

: Visual plates from figures such as William Blake, Hildegard of Bingen, and Refik Anadol. Visual Inspiration

Human experience exists in three dimensions, but AI models process data in spaces with thousands of dimensions. In these hyper-dimensional environments, data points become incredibly sparse, and the distance between unrelated concepts can collapse to near zero, creating unexpected conceptual short-circuits.

When an AI interacts with fluid, human-like cadence, we naturally anthropomorphize it. Anomalies shatter this illusion. They serve as a stark reminder that we are dealing with a non-human cognitive architecture. Mapping these anomalies forces society to confront the dangers of deploying automation in critical infrastructure—such as healthcare, legal sentencing, and warfare—under the false assumption that the machine "understands" the context of its actions. Algorithmic Injustice and the Fringe

Explores the relationship between machines and human cognition, including "The Arborescent Mind" and conversations with philosophers like Catherine Malabou.