Generative Video at the Speed of Light — Keegan McCallum, uRun
The presentation shifts the focus of generative video from improving quality (e.g., Sora) to maximizing efficiency and enabling long-horizon, real-time interaction. The core argument is that the limiting factor is no longer model fidelity but the serving infrastructure required for continuous, synchronized streaming. Key technical requirements include global GPU distribution, WebRTC/ICE/TURN setup, and complex pipelines capable of integrating multiple models (e.g., video-to-video transformation) in real time.
Key takeaways
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Shift from Quality to Efficiency
3:55
The most significant axis of improvement is efficiency and long horizon generation, allowing for continuous streaming at a fraction of the cost compared to slower, high-quality generations. For example, real-time generation can be produced at about 1/100th the cost of minutes-long clips.
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Cost and Accessibility
6:24
Generative video is becoming highly accessible: $10 can now buy roughly three hours of continuous generated video, while $50 could provide up to 15 hours of interaction.
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New Interaction Paradigms
7:18
The technology enables new use cases beyond simple content creation, such as 'magic mirrors' (transforming a webcam feed in real time) and providing visual mediums for users who do not think primarily in text.
