Creative storytelling with AI: The making of Ancestra

Google for DevelopersAbout 5 min readSep 11, 2025Watch original
THE SUMMARYAI-generated

Key Concepts

  • Generative AI in Filmmaking: Using AI models like VO to create visual content for films.
  • VO (Video generation model): A video generation model that translates user inputs into pixels, relying on user creativity to push the model to interesting places.
  • AI as a Tool, Not a Replacement: Emphasizing AI's role in augmenting human creativity rather than replacing it.
  • Human-Centered Storytelling: Prioritizing human stories and emotions in AI-assisted filmmaking.
  • Collaboration: The importance of collaboration between technical experts, creative artists, and filmmakers.
  • Democratization of Filmmaking: How AI tools can empower more people to tell their stories.
  • Ethical Considerations: The responsibility of artists and developers to set boundaries around AI use.
  • Iterative Creative Process: Accelerating the creative process through rapid feedback loops with AI models.
  • Flow: A platform accessible for generating AI content.
  • AI Unit: A dedicated team focused on integrating AI into the filmmaking process.

Origin and Inspiration of "Ancestra"

  • Logline: During an emergency delivery, an expectant mother draws on the strength of past matriarchs to dying stars, transforming her love into a cosmic force to save her daughter's life.
  • Eliza McNitt's Personal Story: The film is inspired by Eliza's own birth story, where she had a hole in her heart and had to be delivered via emergency C-section.
  • Maternal Courage: The film celebrates the courage and bravery of mothers bringing life into the world.
  • Collaboration Origins: Eliza joined the project with only 48 hours' notice, meeting Ben and Kory at Google.
  • Darren Aronofsky's Involvement: Darren Aronofsky partnered with Google DeepMind to create a series of short films and recommended Eliza as the director.

The Role of Technology and VO in "Ancestra"

  • VO2 and VO3: The film utilized VO2 and VO3, video generation models, to create specific shots.
  • Aha Moment: Eliza was impressed by the possibilities of VO after seeing videos created by Ben and John Soat, particularly a honeybee video.
  • Limitations of VO: Initially, the length of the clips (8 seconds) posed a challenge.
  • Pushing the Model: Creative individuals pushed the VO model beyond its initial capabilities, such as matching motion across different natural scenes.
  • Visualizing the Unknown: Eliza drew on her experience with VR filmmaking ("Spheres") to visualize impossible worlds, such as the inner workings of the human body and the cosmos.
  • Abstract Imagery: Creating abstract images that evoked emotional responses and told a story was a significant challenge.
  • Practical Effects Approach: The team used a practical effects approach, describing real-world phenomena like microscopic photography to represent space.
  • Nightmares Folder: An artist in London was assigned to create images of tiny holes in the heart, resulting in a collection of "nightmare" images.

The Making of "Ancestra": Process and Challenges

  • Team Size: Approximately 200 artists contributed to the project.
  • Core Team: Led by Ben Wylie and John Soat at Google, with Kory Mathewson leading the technical side.
  • Traditional Filmmaking Elements: Eliza wanted to incorporate traditional live-action elements to ground the characters as real humans.
  • AI Unit: A dedicated AI unit was created to integrate AI into the filmmaking process.
  • Timeline: The project went from ideation to premiering at the Tribeca Film Festival in approximately two and a half months (March 26th to June 13th).
  • Writing with VO: The ability to visualize imagery while creating allowed Eliza to "write with VO," making the process more collaborative and iterative.
  • Personalizing the Generated Content: The team used Gemini's image and video understanding capabilities to analyze Eliza's baby pictures and generate videos that matched the film's aesthetic.
  • Custom Tooling: The team used custom bespoke tooling to facilitate collaboration and sharing of clips and prompts.
  • Flow and AI Studio: Flow and AI Studio were also used as interfaces for generating content.

Ethical Considerations and the Future of Filmmaking

  • Centering Humans: Eliza emphasized the importance of centering humans in every aspect of the storytelling and filmmaking process.
  • Human Performance: The performance of the actress, Audrey Corsa, was considered irreplaceable by AI.
  • AI as a Tool: The speakers emphasized that AI should be used as a tool to augment human creativity, not replace it.
  • Responsibility: Artists and developers have a responsibility to set boundaries around AI use and ensure it is used ethically.
  • New Voices: AI technology can unlock more opportunities for people who may not have had access to traditional filmmaking tools.
  • Democratization of Storytelling: AI can empower more people to tell their personal stories.
  • Augmentative Tool: VO is seen as an augmentative tool that adds to the filmmaker's toolkit.
  • Generative Models as Cameras: Generative models can be thought of as a new type of camera that opens up new genres of filmmaking.
  • Film School Application: AI tools can help film students hone their voices, experiment, and visualize their stories.
  • Watershed Moment: The current moment with AI is a watershed moment where everything is changing.

Rapid Fire Questions and Final Thoughts

  • Ben's Experiment: Digitizing his grandma's Super 8 footage and recreating scenes using VO.
  • Eliza's Gemini Query: Theories about wormholes.
  • Kory's Advancement: Enjoying watching generated footage via video.
  • Kory's Problem to Solve: Bringing in more personal context (photos, videos, audio recordings) to generate content.
  • Eliza's Goal: Mastering the poetry of the prompt.
  • Ben's Goal: Overhauling his brain with VO3 and looking to other areas that generative video can apply to beyond filmmaking.
  • Ben's Biggest Learning: The importance of human emotion and impactful stories.
  • Ben's Challenge: To look at this as a moment of responsibility and ensure that the future is bright.
  • Kory's Biggest Learning: It still always boils down to storytelling.
  • Eliza's Biggest Learning: The beauty of this technology is that you can just go do it.

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