Hacker News AIT2·78 pts
- Trained from scratch exclusively on human speech data without any text or pretrained model initialization
- Utilizes a full-duplex architecture to capture and generate complex vocal features including emotion, pauses, and natural rhythm
- Challenges the traditional 'speech-to-text' paradigm by addressing interaction fidelity loss caused by text's inability to carry paralinguistic information