gen‑ai.news
← Back
Video

The future of Hollywood isn’t feeding prompts into vanilla gen AI models

The future of Hollywood isn’t feeding prompts into vanilla gen AI models

The conversation around generative AI in Hollywood has largely outpaced the reality. Most commercially available video models still produce short, visually inconsistent clips, and several high-profile studio-AI partnerships have quietly fallen apart. The result has been a lot of short-form content that few would call compelling filmmaking.

"Dear Upstairs Neighbors," a short film showcased at Tribeca 2026, represents a more considered path. Rather than feeding prompts into general-purpose models, the production team worked with Google DeepMind to train custom versions of Veo and Imagen on purpose-built concept art created specifically for the project. That distinction matters - a custom-trained model can learn the specific visual language, character design, and aesthetic consistency that a production requires, whereas a generic model has no knowledge of the world being built.

This approach is more resource-intensive and requires a closer working relationship with an AI provider, which immediately raises questions about who can realistically pursue it. Independent filmmakers without access to Google DeepMind partnerships are unlikely to replicate this pipeline in the near term. But it does demonstrate that the visual inconsistency problem plaguing most AI-generated footage is not necessarily an inherent limitation of the technology - it is, at least in part, a limitation of using models that were never trained on your specific project.

The broader takeaway for the industry is that generative AI in serious production contexts may function less like a plug-and-play tool and more like a bespoke workflow built around custom data. That shifts the conversation away from which consumer-facing model produces the best results and toward questions of data preparation, model fine-tuning, and the kind of institutional access needed to make it work. Whether that model is practical for anything beyond well-resourced productions remains an open question, but "Dear Upstairs Neighbors" at least offers a concrete example of AI-assisted filmmaking that goes beyond slop.

Enjoy this story? Get the next one in your inbox.

Twice a week: the most important stories in generative image and video AI, distilled into a 2-minute read.

Free. Unsubscribe any time. No spam, ever.

Your next read

Black Forest Labs makes FLUX 3 Video generally available and claims it beats Seedance 2.0
Video

Black Forest Labs makes FLUX 3 Video generally available and claims it beats Seedance 2.0

Black Forest Labs has moved FLUX 3 Video out of early access and into general availability, offering Full HD video generation with clips up to 20 seconds long. The model includes native audio output and lip-synced dialogue across more than 14 languages. According to BFL's own Elo benchmark rankings, it outperforms both Gemini Omni Flash and Seedance 2.0.

China's MiniMax H3 is the first open model to top an AI video ranking
Video

China's MiniMax H3 is the first open model to top an AI video ranking

Chinese AI company MiniMax has released the weights for its H3 video generation model, marking the first time an open model has claimed the top spot on a major AI video benchmark ranking. The release is a notable moment for the open-source side of the generative video space, which has largely been outpaced by proprietary offerings from companies like OpenAI, Google, and Sora competitors. H3's rise to the top of the leaderboard signals that the gap between closed and open video models may be narr

Is paying artists enough to convince them to embrace AI?
Video

Is paying artists enough to convince them to embrace AI?

A new wave of AI startups is attempting to address longstanding concerns from the illustration community by compensating artists whose work is used in model training. Pippa is one such company, positioning itself as a more ethically grounded alternative to competitors that have trained on unlicensed work. Whether financial compensation alone is enough to shift artist sentiment remains an open question.