Alibaba drops Wan-Streamer v0.2

Scaling resolution without scaling latency is the holy grail of real-time interactive video AI, and Wan-Streamer v0.2's Thinker-Performer split provides a highly practical architectural blueprint for doing so.

• –**Thinker-Performer split:** Separating low-latency perception/decoding from a parallelized generation group is a smart way to scale throughput without sacrificing interactive response times.
• –**Improved usability:** Scaling resolution to 640x368 means characters, posture, gestures, and UI details are actually readable, moving real-time AI agents from a novel toy to a highly practical interface.
• –**End-to-end efficiency:** Bypassing traditional pipelines (cascade of ASR, LLM, TTS, and video gen) with a single multimodal Transformer is the only viable path to truly natural, human-like conversations.