Relate, Relate, Relate: In the Age of Machine Learning
This thesis explores machine learning as an association machine, revealing its potential to historicize, contextualize, and generate architecture through relationships rather than categories. A book-manifesto anchors the work, archiving a semantic map of architecture: 28 GSD “five on five” lectures, 241 precedents, and 420,000 words analyzed to produce a cloud of relationships. Instead of hierarchies or lineages, this high-dimensional landscape blurs boundaries — pairing projects based on conceptual similarities and imagining entirely new architectures born from those pairings. It proposes a text-driven framework for understanding architecture beyond appearances — uncovering unexpected connections and offering an alternative way to produce and navigate architectural knowledge in the age of AI. The book presents 100 pairings and their imagined architectural descendants — an open-ended exploration of design through relationships.
Flip through the book at this link , or browse some excerpts in the image gallery below.