Hypotheses of Images and Architectural Spaces in the Age of Artificial Intelligence

The paper explores the relationship between artificial intelligence, architectural representation, and digital techno-cultures through experimental workflows combining text-to-image generation, text-to-3D modeling, parametric design, and AI-assisted visualization. The research investigates how generative AI tools such as Midjourney, ChatGPT, PointE, Dreamfusion, and Grasshopper can support the creation of architectural forms, semantic image transitions, authorial hybridizations, and morphogenetic spatial configurations. The study proposes a conceptual framework organized around different AI media categories, including textual AI, image generation, video generation, post-production systems, and AI-assisted parametric modeling. Through hybrid workflows integrating AI-generated Python scripts, parametric modeling in Rhinoceros/Grasshopper, and generative visual experimentation, the paper reflects on the epistemological, creative, ethical, and technological implications of AI in architecture and representation. The research emphasizes AI as a creative and assistive medium capable of generating new spatial hypotheses and experimental design processes within architecture and digital representation.