How would you design a parallel processing pipeline for YouTube's GenAI that auto-generates captions, chapters, a thumbnail, and a description within 60 seconds after a creator uploads a video?

1. Map the dependency graph before parallelizing to avoid blind processes. 2. Stream audio into ASR as it uploads to process captions in real-time. 3. Generate the thumbnail fully in parallel, as it has no dependencies on transcription. 4. Start chapters and description generation with partial segments of the transcript. 5. Fan out translation tasks only after source captions are finalized, allowing parallel processing. 6. Prioritize languages based on the creator’s audience. 7. Publish components progressively instead of waiting for the slowest task.