231108_GDM_xArch_preprints
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The AI plot twist<br />
AI has been advancing quietly for years in the progressive segment of the ar-<br />
chitecture and design industry. Machine learninglibrarires have been integrated<br />
into software like Revit, Rhino-Grasshopper, and standalone applications, offering<br />
functionalities such as machine learning-based optimization and efficient layout<br />
design. This led to heightened anticipation for the integration of powerful analyt-<br />
ical methods and tools based on ML algorithms into traditional 3D environments.<br />
However, AI had a surprising “plot twist” or an “ unexpected move” with the emer-<br />
gence of text-to-image platforms like Midjourney or Stable Diffusion, based on<br />
deep generataive models (diffusion models). Such a technology - capable of registering<br />
the latent correlation in complex data and somehow closer to the imagina-<br />
tive processes of the human mind - unleashed an unexpected but powerful wave<br />
of creataivity, emphasizing the ideation phase of design. We can metaphorically<br />
state that while we were anticipating the AI to fuel the left side of our brain, it<br />
unexpectedly ignited the right side, the realm of creativity.<br />
After this first revolution a new direction is emerging and is about giving design-<br />
ers a deeper control of tools and relative output. Parametric AI, Sketch to Render,<br />
Sketch to 3D and novel layout optimization tools are the next frontiers of the AI<br />
Aided Design, poised to have an enormous impact on the profession and education<br />
alike. These advancements will eanble designers to wield AI technology as a pow-<br />
erful tool, providing them with enhanced control and facilitating the realization<br />
of their creative vision.