a16z podcast: how fal's H3 Max turns MiniMax's video model near real-time
a16z · youtube · 2026-09-18
a16z GP Jennifer Li talks with fal co-founder Gorkem Yurtseven and Head of Engineering Batuhan Taskaya about generative video reaching real time.
- H3 Max is fal's post-trained version of MiniMax's open-weight video model; combining post-training with systems and hardware optimization slashed generation latency while keeping quality.
- That speed unlocked continuous video experiments: streams that remember previous scenes and respond to new directions live — demoed on Twitch the day after launch.
- The team argues the next bottleneck is control, not speed: camera movement, lighting, characters, motion, lip sync — pros need predictable tools, not one-shot prompt-to-video.
- Also covers inference economics, chip footprint, streaming experiences, and implications for creator workflows and the creator economy.
Full timestamped outline in the original video.
More from Infra
- Big Tech's Future Data Center Leases Top $1.3T, 70% Added in Last Four Quarters — rohanpaul_ai · 2026-11-02
- Daniel Lemire: AI is exploding demand for boring compute, server CPUs to double — lemire · 2026-11-02
- Physical AI's real story: a 4-layer map of 15 companies behind humanoid robots — pdamodaran · 2026-11-02
- Under 5% of US consumers pay for AI, yet compute demand is already forcing usage cuts — NinaDSchick · 2026-11-02
- Sam Altman: AI query energy cost fell 1,000x-100,000x in 3-4 years — rohanpaul_ai · 2026-11-02
- Marvell and Lumentum to merge, targeting $550B AI connectivity market — BenBajarin · 2026-11-02