AI-generated videos are becoming ubiquitous on social media, often sparking significant viewer interest despite frequently appearing false and unconvincing. This form of content is seen by many as a new art form that could reshape filmmaking, but questions linger about the quality it can deliver for larger productions. Filmmaker Bryn Mooser is tackling these challenges through Asteria, a production company he established that utilizes an “ethical” generative model trained on licensed material. As copyright issues continue to arise, ethical practices may significantly impact the adoption of this technology in the entertainment industry.
Mooser points out that many current AI tools lack a deep understanding of filmmaking, fostering unrealistic expectations about their utility. He advocates for filmmakers to have more control over their projects, which is often hampered by current AI limitations. Asteria’s method involves developing project-specific models based on original content to enhance artistic freedom, as demonstrated in a recent animated project for musician Cuco, showcasing both the abilities and restrictions of generative AI.
Moreover, Asteria aims to provide favorable financial options to help filmmakers retain some ownership of their work. Mooser sees generative AI as a means to speed up production and lower costs, potentially leading to more independent financing avenues. His upcoming feature, “Uncanny Valley,” co-directed with Natasha Lyonne, embodies this vision with innovative visuals produced within Asteria’s system.
While many view generative AI as a democratizing force in art creation, there are concerns about job loss in the industry due to more efficient production methods. Mooser is aware of these anxieties but believes that industry professionals can adapt to new opportunities that this technology may create. Ultimately, the challenge lies in successfully integrating AI advancements without negatively impacting the workforce, ensuring that this technology enhances rather than detracts from the filmmaking landscape.
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