This week on CineD Focus Check, CineD's Nino Leitner sits down with cinematographer Oren Soffer, co-cinematographer on Gareth Edwards’ The Creator—the $70M sci-fi feature that sparked industry conversation for its minimal, agile approach to big-scale filmmaking.
But this episode is not about camera specs. It’s an honest, wide-ranging discussion about generative AI and what it’s doing to culture, trust, and creative work. Oren shares why he believes public generative video models (like Sora) are fundamentally harmful—flooding feeds with “slop,” accelerating misinformation, and eroding shared reality. At the same time, he outlines a pragmatic middle ground: bespoke, closed-loop models trained on your own data, and specific use cases where AI could speed up workflows (without cutting artists out).
We also cover:
If you’re worried about the future of human creativity—or trying to navigate what’s real versus synthetic—this conversation is essential.
(00:00) — Why This Conversation Matters Why this episode goes beyond gear and into culture, trust, and creativity.
(01:24) — Introducing Oren Soffer Cinematographer of The Creator and why this conversation exists.
(03:00) — How Oren Got Into Filmmaking Early influences, film school, and learning through doing.
(06:45) — The DSLR Revolution Changed Everything Affordable cameras and the democratization of cinema.
(09:15) — Small Cameras, Big Movies Why size stopped mattering and flexibility won.
(11:40) — Breaking Into Hollywood Oren Soffer’s path to large-scale narrative work.
(13:10) — Shooting The Creator Differently Minimal crews, real locations, and a radical production mindset.
(15:20) — Why Studios Won’t Take the Same Risk Institutional fear, IP pressure, and Hollywood inertia.
(18:00) — Hollywood’s Structural Crisis Budgets, streaming, and fewer films being made.
(21:20) — The Reality of Movie Theaters Today Why attendance and output don’t tell the same story.
(24:30) — How Generative AI Entered Filmmaking Tech culture vs. film culture.
(27:30) — Three Camps Reacting to AI Rejection, blind adoption, and cautious pragmatism.
(31:40) — Why Public Video AI Is “Ontologically Evil” Slop, misinformation, and the collapse of trust.
(36:40) — Ethical vs. Unethical AI Use Closed-loop systems and filmmaker-controlled tools.
(42:40) — Why Black-and-White Thinking Fails AI isn’t yes-or-no — and never was.
(46:00) — Will AI Kill Jobs or Reshape Them? Historical parallels and uncomfortable realities.
(49:30) — Practical AI Use Cases in Filmmaking Storyboards, previs, and speeding up iteration.
(56:20) — The McDonald’s AI Ad Backlash Why audiences instantly rejected synthetic people.
(58:50) — Why Replacing Everyone Is the Wrong Goal Efficiency myths and worse results at higher cost.
(01:02:00) — The Growing Backlash Against AI Content From curiosity to open hostility.
(01:07:20) — Creatives Are Not in the Driver’s Seat The real problem with AI adoption.
(01:12:40) — Why This Moment Still Gives Hope Community, craft, and shared values.
(01:17:30) — The AI Business Model Problem Why most AI companies may not survive.
(01:22:00) — The Illusion of Intelligence Why current models don’t actually “understand.”
(01:27:30) — What Real Intelligence Would Require Vision, meaning, and embodiment.
(01:32:30) — Why Synthetic Experiences Fall Short Cinema, concerts, and human presence.
(01:38:00) — Advice to Young Filmmakers Ignore the noise. Focus on making.
(01:54:55) — Final Thoughts: Creativity Won’t Disappear Why humans will always need to create and tell stories.
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