AI Signal
Dessa: what a transcript leaves out
Block announced Dessa on October 23. It says the speech-to-speech research model learned from human conversation audio alone. Limited early access for AI safety researchers.
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Transcript
The original narration, preserved as published. Relative dates refer to the episode’s coverage window.
Your voice bot can lose the meaning before it writes an answer. Today, Block announced Dessa, a speech-in, speech-out research model. The company says it learned from human conversation audio alone.
A transcript preserves words, but can discard how they were said. A rising pitch, a pause or an interruption can change the exchange. Learning directly from sound is Dessa's central bet.
Block says it trained the model from scratch, without text or pretrained models. It can listen and speak at the same time, including brief acknowledgments and interruptions. That is full duplex: both sides stay open.
Company demonstrations show expressive conversations, not an independent performance test. Block says it can run locally on a MacBook Pro with an M four Max chip or better. We have not tested that claim.
This is limited early access for a small group of AI safety researchers. There is no verified public API or weight download. Watch whether it follows tone and interruptions correctly on unfamiliar conversations, not just polished demos.