Dessa AI debates the risks of releasing human-like voice AI weights too early while laughing and reacting to interruptions.
Dessa AI · Block Deep Learning Research Lab · Speech-Only Foundation Model
Dessa AI — The Full-Duplex Speech Model Trained Only on Sound
Dessa AI is a full-duplex speech-to-speech foundation model developed at Block. Trained from scratch exclusively on raw human conversation audio—with zero text tokens and no pretrained language model—Dessa AI learns language, timing, laughter, interruptions, and emotional prosody directly from sound, using hundreds of times fewer words than text LLMs.

Block Team Dessa · 1× NVIDIA GB200 NVL72 training · Local MacBook Pro M4 Max inference.
Explore Dessa AI Interactive Labs
Dessa AI vs GPT Live (GPT-Live-1)
Hear Dessa AI converse directly with OpenAI GPT-Live-1 across clean studio and noisy speakerphone feeds, with turn-by-turn timing breakdowns.
Dessa AI Audio Samples & Waveforms
Browse all 21 official dual-channel recordings from Block—from coffee shop ambient noise to spontaneous singing, gaming banter, and life advice.
Dessa AI Twitter / X Wall
Read viral threads from Jack Dorsey (@jack), project lead Ragavan Thurairatnam (@RagavanThurair), and speech AI researchers.
Trained end-to-end on raw conversational audio without text transcripts or text LLM initialization.
Acquires fluent language and world dynamics from hundreds of times fewer words than text LLMs.
Trained on a single NVIDIA GB200 NVL72 rack—orders of magnitude smaller than frontier text clusters.
Runs faster than real-time locally on an Apple MacBook Pro with an M4 Max chip or better.
Interactive Dual-Channel Playback
Featured Unsteered Conversations
Every clip below is an unedited, unsteered live conversation with Dessa AI. Click any Moment pill to jump directly to spontaneous laughter, interruptions, acoustic cues, or rapid backchanneling.
Unsteered 2m25s slice of Dessa AI conversing directly with OpenAI's GPT-Live-1—highlighting interruption yielding (38.8s), patience (100.8s), and fast backchanneling (128.8s).
Synchronized Transcript (78)
Mid-conversation, a real coffee machine dings in the background—and Dessa AI hears the non-speech sound and reacts to it naturally.
Synchronized Transcript (60)
Fast-paced back-and-forth on DC superheroes showcasing rapid turn-taking, shared laughter, and natural enthusiasm.
Synchronized Transcript (60)
Warm, empathetic brainstorming session with rapid backchannels ('mm-hmm', 'oh nice') and realistic vocal pacing.
Synchronized Transcript (60)
Gentle, nuanced emotional prosody demonstrating how pure-audio training captures warmth and reflective pauses.
Synchronized Transcript (60)
Architectural Breakthrough
Why Learning Directly From Sound Changes Everything
Conventional voice assistants bolt a speech encoder and TTS vocoder onto a text LLM—stripping away 90% of paralinguistic signal. Dessa AI treats raw sound as its native representation.
ASR → Text LLM → TTS Pipeline
- Collapses timing, breath, hesitation, and overlapping speech into flat text tokens before reasoning.
- Relies on rigid Voice Activity Detection (VAD) turn-taking, causing awkward pauses or robotic talk-overs.
- Requires trillions of text tokens and massive datacenter clusters for training and inference.
- Synthetic laughter and emotion are post-processed style tags rather than emergent conversational dynamics.
End-to-End Full-Duplex Audio Native
- Trained from scratch exclusively on human conversation audio—zero text at any stage of pretraining.
- True full-duplex listening and speaking: backchannels ('mm-hmm', 'yeah'), yields on interruption, and senses awkward silences.
- Hears non-speech acoustic events natively, such as a coffee machine ding or room echo on a speakerphone.
- Emergent prosody control: whispers, sighs, laughs, sings, and shifts emotional tone mid-sentence.
Prosody & Stress Test
Explaining CUDA Parallel Programming Across Emotional Extremes
To prove that a pure-audio model retains technical coherence while modulating vocal expression, Block researchers asked Dessa AI to explain NVIDIA CUDA parallel programming under rapid emotional shifts—switching seamlessly between breathless excitement, whispering, sarcasm, and theatrical urgency without losing technical accuracy.
- Maintains technical explanation of GPU thread blocks, warps, and shared memory while shifting vocal timbre.
- Demonstrates that semantic knowledge and paralinguistic expression live in a unified acoustic latent space.
- Zero text prompting or TTS emotion tags—steered purely through conversational voice interaction.
Compute & Silicon Footprint
Trained on 1× GB200 NVL72. Runs Locally on MacBook Pro M4 Max.
Single-Rack Frontier Training
While frontier text-and-multimodal models require tens of thousands of GPUs, Dessa AI was trained on a single NVIDIA GB200 NVL72 rack.
Faster-Than-Real-Time Local Inference
Dessa AI executes full-duplex speech-to-speech inference locally on a laptop with an Apple M4 Max chip or better at faster-than-real-time speeds.
Child-Like Language Acquisition
By modeling prosody, cadence, and social feedback directly, Dessa AI mirrors human developmental efficiency.
Team & Origins at Block
Built by Team Dessa, Reporting to Jack Dorsey
Dessa AI was created by a small deep learning research lab inside Block, Inc., founded by former members of the Toronto machine learning startup Dessa (acquired by Square/Block). The team is led by Ragavan Thurairatnam and reports directly to Block co-founder Jack Dorsey.
Ragavan Thurairatnam (@RagavanThurair)
Jack Dorsey (@jack)
Louay Hazami · Hashiam Kadhim · Qi (Alex) Liu · Rayhane Mama · Aydin Polat · Marc Tyndel
Cara Ji · Jibran Iqbal Shah · Dvir Zagury-Grynbaum
Aryan Sharma · Olivia Yan
Open Call for Audio AI Safety Researchers
Because a model that sounds indistinguishably human and runs locally on consumer hardware introduces novel safety, impersonation, and emotional-attachment risks, Block has not yet released model weights or a public API. Team Dessa is actively collaborating with external safety researchers.
Safety & Research Inquiries: ragavan+dessa@block.xyz
Frequently Asked Questions About Dessa AI
What is Dessa AI by Block?
Dessa AI is an experimental full-duplex speech-to-speech foundation model developed by a deep learning research lab at Block, Inc., trained from scratch exclusively on raw human conversation audio with zero text.
Does Dessa AI use a text LLM or speech-to-text under the hood?
No. Dessa AI uses no text transcripts, no automatic speech recognition (ASR), no text LLM backbone, and no separate text-to-speech (TTS) vocoder. It processes and generates audio waveforms directly.
How much compute was required to train Dessa AI, and where can it run?
Dessa AI was trained on a single NVIDIA GB200 NVL72 system and runs faster than real-time locally on an Apple MacBook Pro equipped with an M4 Max chip or better.
Where can I listen to all Dessa AI audio samples?
You can stream all 21 unsteered official recordings with synchronized dual-channel waveforms, Moment markers, and full transcripts directly on this site.