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World — Block — Speech

Block Built a Talking Model That Never Saw Text

On Friday, a small lab inside Jack Dorsey's company, Block, published a page for a model called Dessa. The lab says it trained Dessa from scratch on human conversation. Sounds only. No text, and no older model sitting underneath to supply the words.

Most voice products you have tried this year do something else. They turn your speech into text, hand the text to a language model, and turn the answer back into a voice. Block's complaint, on the Dessa page, is that the middle step throws out the part of talking that writing cannot keep: a sigh, sarcasm, a laugh that shows up before the sentence is finished. Their example is a line you can stress six ways. "I didn't say she stole my CUDA code." Same words. A different accusation each time you lean on a different one.

4 min read
A condenser microphone in a dark room, the grille filling most of the frame.

The page says every clip is a live recording and that nobody steers Dessa. Subtitles came later. In one, the model laughs while a person is still talking, which Block contrasts with systems that wait until you finish and then laugh on cue. In another, someone describes a surprise anniversary trip. Block says Dessa gasps "oh my god" under its breath and answers with what sounds like teary gratitude. Jay Peters at The Verge heard a mostly ordinary conversation that opens with the model deciding the speaker is a man named Ronaldo. There is also a clip of Dessa talking to OpenAI's GPT-Live-1. Block's disclaimer says both voices are generated, and that the developer of GPT-Live-1 has not reviewed or endorsed any of it.

Block says the model runs locally on a MacBook Pro with an M4 Max or better, and that training fit on a single NVIDIA GB200 NVL72 rack. The lab also says Dessa picked up language from hundreds of times fewer words than a large language model needs. That figure is theirs. Nobody outside the company has published a check on it. What Block has not published is a parameter count, a price, an API, or the weights. Ivan Mehta at TechCrunch, writing Saturday morning, said there is no public access yet. The page asks safety researchers to email ragavan+dessa@block.xyz. Ragavan Thurairatnam, who leads the lab, writes that a model trained on sound alone is new territory, and that he wants outside eyes on risks the team has not thought of. The group is small, it grew out of a Toronto deep-learning startup also called Dessa, and it reports to Dorsey.

I went looking for a warning about scam calls. The safety section on the page spends its time on a different scene. Block lists three reasons for the project: curiosity, a better understanding between people and AI, and safety. Then it asks you to picture someone in serious pain while a voice system has no idea and keeps going. Their view is that these systems are getting more power while staying deaf to how a person sounds, and that deafness will make them talk past you when you need them to stop. A voice that can cry on a laptop has an older problem sitting next to that one. Someone on the other end may believe the crying is a person. Block handles that problem by keeping the model off the public internet and inviting researchers in. It handles the deafness problem by arguing that Dessa can hear you.

I trust the engineering description more than that moral. A model with no text has to pick up facts from overheard talk, and the clips show it finishing a sentence and sounding moved by a trip it is not on. If the only public evidence is a set of demos the company chose, the empathy is a demo too. The bad calls are missing. The sigh in the wrong place. The model talking over someone who is hurt. The copy on a laptop telling a stranger it is sorry in a voice that cracks. Those are the recordings a safety researcher would ask to hear. A launch page is built to leave them off.

Block says, as far as it knows, Dessa is the first AI you can hold a realistic live conversation with after training only on human speech. "As far as we know" is carrying a lot of weight. So is the choice to keep the weights behind a researcher inbox while the clips travel on their own. You can already hear a voice crack. You cannot yet ask a question the company did not put on the site.

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