Comment on: Juno

The fully-local, offline architecture is the part I keep coming back to. I work on voice AI for older adults, and the thing that breaks most transcription is atypical speech: slower pacing, disfluencies, regional accents the generic models were never trained on. Since Juno runs the model on-device, can users add custom vocabulary or adapt it to a specific speaker over time, or is the acoustic model fixed? And with no cloud fallback, what happens to a low-confidence segment, does it surface uncertainty or just commit to a best guess?