*With a foreword by Mario Carpo*Given the extensive data sources represented by urban environments, this book investigates the potential of architecting for cities using large-scale models – the technological underpinning of Generative AI. Koehler examines Large Language Models (LLMs) in relation to architectural questions of typology – those critical junctures where architecture engages with the city itself. Typology becomes the interface between an AI model and its modeled audiences, represented languages, and scales of operation.The investigation reveals how LLMs represent a fundamental shift from comprehending discrete elements to understanding entire languages – introducing a stochastic perspective that transforms how we read and shape urban reality. At the heart of this framework lies the concept of “inductive types” – threshold interfaces that superpose multiple value regimes and actively reconfigure themselves in response to changing urban conditions. By treating architecture a...
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