Musings on Building a Visual (Images, Video data) Generative AI Product

Starting a generative AI product focused on images and videos presents unique challenges and opportunities. It revolve around balancing innovation with practicality—navigating tradeoffs between cutting-edge algorithms and computational efficiency. Building robust generative models demands not only expertise in architecture design (e.g., diffusion models, GANs) but also meticulous curation of high-quality, diverse datasets to avoid biases and ensure scalability. Success hinges on designing for user-centric applications, whether for creative tools or enterprise solutions, while addressing ethical considerations around synthetic media. The journey is as much about technical breakthroughs as it is about aligning product vision with market needs.