ByteDance Seed team has released SeedRealtime, a full-duplex large model that natively integrates audio, video, and text using a unified architecture, focusing on real-time natural interaction with the "watch, listen, and speak" experience. It is no longer in the lab — this capability is now fully launched in the Douyin App, pioneering the large-scale deployment of audio and video full-duplex technology.
Compared to traditional cascading solutions, the core difference of SeedRealtime lies in its architecture. Cascading systems usually follow a "listen—transcribe—think—speak" sequence, where perception and expression are handled by separate modules, leading to potential misalignment in conversation rhythm; SeedRealtime unifies audio and video perception and expression within a single end-to-end model, allowing the model to simultaneously receive visual and audio input and directly generate responses. This native integration brings a direct benefit: it reduces the speaking rhythm issues in audio and video conversations by half, eliminating frequent problems like overlapping speech, abrupt pauses, or irrelevant answers.
Even more impressive is its "sense of timing" in real-time scenarios: it can actively remind and naturally pause, leaving breathing space like human conversation, rather than spilling everything out at once. For a multimodal intelligent assistant, this represents a new approach — instead of relying on chaining multiple single-modal models together, it allows one model to have both eyes, ears, and mouth.
