Vidu S1 pushes AI video into real-time interaction
ShengShu’s new video model moves beyond clip generation toward responsive AI characters and continuously interactive visual experiences.
AI video is starting to move beyond the generate-a-clip-and-wait model. The next frontier is interaction.
What happened
ShengShu Technology unveiled Vidu S1, a video foundation model designed for continuous real-time interaction with AI-generated characters.
Users can guide avatars through voice input while the system controls elements including speech synchronisation, expressions and movement. The company says the model can run on consumer-grade GPUs, is publicly available and includes an API for developers and enterprises.
Why it matters
Real-time interaction changes the product opportunity around AI video.
Traditional text-to-video tools are built around producing finished clips. Interactive systems instead need low latency, continuity and responsive behaviour, which opens different use cases across gaming, virtual characters, livestreaming, customer experiences and XR.
The requirement to run efficiently also matters. If developers can deploy interactive video without hyperscale infrastructure, the market becomes accessible to a much wider set of applications.
The bigger picture
Generative media is becoming less static. AI systems are moving from creating assets to participating inside experiences.
That could blur the line between video generation, games and virtual agents. Vidu S1 is an early signal that the competitive race may shift from image quality alone toward responsiveness, persistence and real-time control.