In this session, a comprehensive and in-depth discussion lasting approximately three hours was conducted, spanning Gökay Aydoğan’s professional journey from his background in painting to his work at fal.ai , as well as the evolution of generative image and video models and related optimization approaches.

The session covered the open-source projects and models developed by Gökay Aydoğan, the products, infrastructure, and use cases offered by fal.ai, an overview of generative model architectures, GPU-level performance and cost-oriented optimization techniques, comparisons of different generative image and video models based on their use cases, practical examples using ComfyUI and fal.ai workflows, and learning approaches along with the impact of generative AI on learning and cognitive processes.