An on-device audio pipeline with no language model in the loop
Jev + on-device models = results in seconds with no LLM in the loop. Quick demo app to show the possibilities. Drop in an audio file: Ear detects the language, Voz transcribes it and Redact removes PII. Then @typesafeai's Jev makes about 20 decisions in one call in…
Why it is here
An on-device audio pipeline where the decisions happen locally and no language model is in the loop at all. It is the strongest version of the self-hosting argument on this column: the pieces that need a GPU are not in it.
What we checked
- post resolved through the public syndication endpoint on 2026-09-24
- text, author, date and like count read from that response on 2026-09-24
- poster image stays on X's CDN; nothing downloaded or rehosted
What we did not check. We did not re-run the thing the post describes, so every figure on this page is the author's own and every claim is theirs — the note above is what we make of it after reading, not a measurement. The like count is a snapshot read on 2026-09-23 and it has moved since; 157 is what it said when we looked.