Ben Affleck's surprisingly comprehensive take on LLMs for video
A high-profile actor’s critique of generative AI in filmmaking has triggered a broader debate over whether large language and video models will ever match human creativity or simply remix existing work into passable “slop.” Commenters weigh the technical and artistic limits of current systems against economic forces that favor cheap, good-enough content, with particular worry for VFX artists, background actors, and junior creative roles. Many see AI as a powerful tool for lowering production costs and enabling small teams, while arguing that genuinely original, emotionally resonant art and live performance will remain rooted in human experience—at least for now.
Scope of AI in Film and Video
- Many agree current generative tools are far from replacing top-tier filmmaking, especially for long, coherent, visually precise work.
- Several expect AI to soon handle “good enough” content: formulaic movies, remixes of existing shows, or cheap direct‑to‑streaming material.
- Some foresee personalized or interactive media (e.g., “new episode in style of X,” alternate endings, viewer-inserted characters) once tools mature.
AI vs. Human Creativity
- One camp argues art is fundamentally communication between human minds; models lack lived experience, emotion, and intent, so they can only remix, not originate.
- They describe LLM text as statistically predictable, emotionally hollow, and inattentive to reader/viewer impact; useful as “washing machines for information,” not as creative agents.
- Others counter that much human output is already derivative, and AI can participate in the same selection and feedback processes that create “great” works over time.
- Debate persists over whether anything humans do artistically is in principle unmodelable, or whether confidence in human uniqueness is misplaced.
Technical Limits and Tooling
- Commenters from visual domains stress that high‑end film requires thousands of tightly controlled artistic decisions per shot; current models are imprecise, raster‑only, and bad at iteration and consistency.
- Example given: a studio tried replacing concept artists with “prompt engineers” and reverted after poor, incoherent results that were hard to refine.
- Others highlight strong progress in coding assistants, image and video generation, and expect similar leaps in narrative and cinematic coherence.
Jobs: Actors, VFX, and Career Ladders
- Many think background actors, extras, and routine VFX/cleanup work are at high risk; entry‑level pathways into those fields may vanish.
- Opinions diverge on lead actors: some think they’re uniquely safe; others predict deepfake‑style character models and cheaper unknown performers will erode celebrity economics.
- Several expect VFX and related crafts to shrink or radically change, with smaller teams using AI to achieve what once took large studios.
Audience Taste and “Slop”
- Multiple comments note that audiences already tolerate (and often prefer) formulaic, low‑effort blockbusters and short‑form “content.”
- Some warn that cheaper AI production could flood the market with interchangeable media, pushing truly novel, human‑driven work into smaller niches or live performance.