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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.

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