In this CS 153 “Frontier Systems” session, Anjney Midha welcomes Andreas Blattmann, co-founder of Black Forest Labs and co-creator of Stable Diffusion, for a discussion on the visual intelligence frontier and how frontier AI “factories” scale. Blattmann recounts his path from mechanical engineering to a Heidelberg PhD lab, developing latent diffusion to train image generators efficiently and enabling Stable Diffusion’s 2022 release. They contrast earlier unimodal content-creation models with today’s push toward unified multimodal systems spanning images, video, and audio, plus action prediction for computer use and robotics, emphasizing observation and interaction loops. Using Flux as a case study, they cover pre-training, mid-training, post-training, distillation for speed, customer feedback driving image editing and character consistency, and why open weights enable customization. They also discuss Self Flow for multimodal alignment, safety guardrails, EU compliance, data labeling strategies, diffusion vs autoregressive tradeoffs, and skepticism about explicit 3D representations.