Underdog releases a 163 MB speech model built from NVIDIA's Parakeet
Founder Sigil Wen says Bark 3.0 transcribes meeting audio locally; its published benchmark puts it level with Parakeet on average, not ahead.
By Ryan Merket · Published
Primary source: X
Why it matters
Bark makes Conway's on-device AI thesis concrete: a 163 MB speech model with competitive company-reported accuracy, built from existing models and published under a permissive license. Its benchmark table supports a strong result, not an unqualified claim of being the best.
Sigil Wen, founder of Conway Research, released Underdog Bark 3.0 on October 21st, pitching a 163 MB speech-to-text model for laptops and phones. In his announcement on X, Wen said it matches or beats larger systems on recorded-meeting transcription while running locally. The model weights are available under the CC-BY 4.0 license.…
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.