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The Next Medium: Why Real-Time Interactive Video Changes Everything — Ahmed Ahres, Reactor
Reactor frames real-time video as a programmable session rather than a generated file, enabling interactive worlds and live editing but exposing hard state, latency, and evaluation problems.
AI Engineer · Aug 18, 2026
Source Summary
The talk divides real-time generative video into **three model types**: controllable continuous video, navigable world models, and live avatars. Reactor exposes four models by API, including interactive generation, multi-shot film, and video-to-video editing.
Practical Implication
Builders should design these systems as stateful streaming sessions, not batch jobs returning files. Product work must account for pixel delivery, persistent session memory, user control, and enough compute to approach interactive frame rates.
Agent-Ready Context
The talk divides real-time generative video into **three model types**: controllable continuous video, navigable world models, and live avatars. Reactor exposes four models by API, including interactive generation, multi-shot film, and video-to-video editing. Builders should design these systems as stateful streaming sessions, not batch jobs returning files. Product work must account for pixel delivery, persistent session memory, user control, and enough compute to approach interactive frame rates. Current systems still lose scene memory, avatar output can feel unnatural, and demonstrated editing quality remains limited. The speaker says **consistency evaluation is unsolved** and currently depends on human judgment.
Context Map
modelvideo#generative-media#reasoningUncertainty
Current systems still lose scene memory, avatar output can feel unnatural, and demonstrated editing quality remains limited. The speaker says **consistency evaluation is unsolved** and currently depends on human judgment.