Text isn’t the only frontier for GenAI. From automotive to manufacturing, teams are applying generative models to physical systems and industrial data. Dogukan dives into what it takes to move beyond language, working with 3D models, sensor streams, and domain-specific data to build systems that generate real-world value. Key takeaways: → How generative models are being adapted for 3D, signal, and structured data. → Challenges in training and deploying GenAI in physical environments. → What language-native GenAI builders need to know when shifting to non-language domains.