Block Unveils Dessa, Speech-Only Model
Block’s Dessa is a full-duplex speech-to-speech model trained from scratch on human conversation alone, with no text pretraining or pretrained models. It runs faster than real time locally on an M4 MacBook Pro and is currently a research preview.
Dessa is a provocative architecture bet, but developers get an impressive demo—not yet a usable platform, with no public weights, benchmarks, pricing, or access.
- –Native speech-to-speech enables interruption, backchanneling, emotion, and more natural turn-taking than cascaded voice stacks.
- –Speech-only training challenges the assumption that text is essential for learning language and facts.
- –Local M4 inference hints at private, edge-friendly deployment, though Block provides few performance details.
- –Inviting safety researchers is sensible because expressive, autonomous voice behavior creates unfamiliar safety risks.
- –The lack of model size, dataset details, evaluation results, and a public release makes comparison with GPT Realtime or Gemini Live difficult.
DISCOVERED
1h ago
2026-10-23
PUBLISHED
2h ago
2026-10-23
RELEVANCE
AUTHOR
AGTPinsights
