How Real-Time AI Video Is Changing How Creators Work

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. Timestamps: 00:00 - Intro 00:47 - Meet fal & the H3 Max Launch 02:45 - From Inference Platform to Post-Training: Why fal Made This Bet 06:33 - The Secret Sauce: System Work, Architecture & Cost/Latency Wins 10:44 - The Twitch Moment: Real-Time Video the Day After Launch 13:11 - How the Model Actually Remembers What Happened in a Scene 15:47 - The Economics: Serving Costs, Chip Footprint & Streaming Experiences 22:02 - Beyond Consumer: Unlocking Hollywood-Grade Controllability 28:37 - Prompting a Director: Camera Angles & Scene Understanding 35:43 - Where Video Models Go Next & the Creator Economy Shift Resources: Follow Gorkem Yurtseven on X: https://x.com/gorkem Follow Batuhan Taskaya on X: https://x.com/isidentical Learn more about fal: https://fal.ai Follow Jennifer Li on X: https://x.com/JenniferHli Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends! Find a16z on X: https://twitter.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Listen to the a16z Show on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYX Listen to the a16z Show on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711 Follow our host: https://x.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see http://a16z.com/disclosures.

Gorkem YurtsevenguestJennifer Lihost

Sep 17, 202638mWatch on YouTube ↗

EPISODE INFO

Released: September 17, 2026
Duration: 38m
Channel: a16z
Watch on YouTube: ▶ Open ↗

EPISODE DESCRIPTION

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. Timestamps: 00:00 - Intro 00:47 - Meet fal & the H3 Max Launch 02:45 - From Inference Platform to Post-Training: Why fal Made This Bet 06:33 - The Secret Sauce: System Work, Architecture & Cost/Latency Wins 10:44 - The Twitch Moment: Real-Time Video the Day After Launch 13:11 - How the Model Actually Remembers What Happened in a Scene 15:47 - The Economics: Serving Costs, Chip Footprint & Streaming Experiences 22:02 - Beyond Consumer: Unlocking Hollywood-Grade Controllability 28:37 - Prompting a Director: Camera Angles & Scene Understanding 35:43 - Where Video Models Go Next & the Creator Economy Shift Resources: Follow Gorkem Yurtseven on X: https://x.com/gorkem Follow Batuhan Taskaya on X: https://x.com/isidentical Learn more about fal: https://fal.ai Follow Jennifer Li on X: https://x.com/JenniferHli Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends! Find a16z on X: https://twitter.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Listen to the a16z Show on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYX Listen to the a16z Show on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711 Follow our host: https://x.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see http://a16z.com/disclosures.

SPEAKERS

Gorkem Yurtseven
guest
Leader/spokesperson from fal discussing product strategy, adoption, and partnerships for real-time generative video.
Jennifer Li
host
a16z podcast host/interviewer covering real-time AI video and creator workflows.

EPISODE SUMMARY

In this episode of a16z, featuring Gorkem Yurtseven and Jennifer Li, How Real-Time AI Video Is Changing How Creators Work explores h3 Max makes real-time AI video creation and live directing practical fal’s H3 Max is a post-trained version of the open-weight MiniMax H3 video model that achieves dramatic speed/cost gains while retaining near-frontier quality.

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