Efficient Generative Modeling with Residual Vector Quantization-Based Tokens — mentioned by quotemstr

Wed, 08 Jul 2026 18:04:06 GMT

> GPT-Live-1 is the first version of a new generation of models, and we believe the full-duplex architecture + delegation enables entirely new ways of human-AI interaction. Awesome. Are you guys able to share anything about the model architecture? I've been interested lately in split-transformer RVQ-based conversational agents, e.g. via stuff like https://arxiv.org/abs/2412.10208 (ResGen) and https://arxiv.org/abs/2603.18090 (MOSS-ITT) and of course Moshi (https://arxiv.org/pdf/2410.00037). Intuitively, decoupling semantic and audio-timeslice-space generations with coupled but distinct…

Paper and discussion history. A mention is not an endorsement.

Efficient Generative Modeling with Residual Vector Quantization-Based Tokens — HN submission

Sun, 29 Dec 2024 14:39:50 GMT

Efficient Generative Modeling with Residual Vector Quantization-Based Tokens

1 point; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.

Efficient Generative Modeling with Residual Vector Quantization-Based Tokens · HackerPapers discussions

Efficient Generative Modeling with Residual Vector Quantization-Based Tokens — mentioned by quotemstr

Efficient Generative Modeling with Residual Vector Quantization-Based Tokens — HN submission