a16z General Partner Jennifer Li sits down with fal co-founder Gorkem Yurtseven and Head of Engineering Batuhan Taskaya to discuss what changes when generative video becomes fast enough to run in real time.They unpack the technical work behind H3 Max, fal’s post-trained version of MiniMax’s open-weight video model, and how combining model post-training with systems and hardware optimization significantly reduced generation time while maintaining quality. That speed has enabled experiments with continuous video, including streams that can remember previous scenes and respond to new directions while they’re running.They also discuss why the next challenge may be less about speed and more about control, from camera movement and lighting to characters, motion, and lip sync. And they explore what those capabilities could mean for professional creative workflows, where artists and studios need predictable tools rather than simply generating a video from a prompt.Resources:Follow Gorkem Yurtseven on X: <a href="https://x.com/gorkem" rel="noopener noreferrer">https://x.com/gorkem</a>Follow Batuhan Taskaya on X: <a href="https://x.com/isidentical" rel="noopener noreferrer">https://x.com/isidentical</a>Learn more about fal:<a href="https://fal.ai/" rel="noopener noreferrer"> </a><a href="https://fal.ai" rel="noopener noreferrer">https://fal.ai</a>Follow Jennifer Li on X: <a href="https://x.com/JenniferHli" rel="noopener noreferrer">https://x.com/JenniferHli</a>&nbsp;
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