Episode Details

Raw ASR output is a wall of uncased, unpunctuated words. The accessory models that clean it up are the back half of the pipeline nobody talks about. This episode traces how single-purpose models like FullStop and NVIDIA's NeMo punctuation-and-capitalization tools evolved into unified multi-task fixers — and whether the whole thing is collapsing into just two components: the ASR engine and one text-to-text repair model. Along the way: why punctuation and capitalization are the same problem wearing two hats, what Hebrew reveals about the shared sentence-boundary machinery underneath, why Microsoft's Four-in-One fixed a phone-number bug by sharing an encoder, and what AssemblyAI's Universal-2-TF human preference numbers actually tell us about where this is heading. Episode #387797 — open it directly at myweirdprompts.com/387797