Xavier Thanki
Text2Forest | Berlin, Germany | Unit 21 | 2025 This project explores language-based machine learning as a generative design tool, positioning artificial intelligence (AI) not as a means of optimisation but as co-author of architecture. At its centre is a fine-tuned language model that translates weather-based text prompts into tree geometries, each shaped by specific environmental conditions. These forms are not predefined but probabilistically generated, embedding ecological logic into their