Ben Affleck’s recent interviews have drawn attention to his technical understanding of AI and its use in filmmaking and post-production.
Ben Affleck’s discussions of machine learning and filmmaking have gained traction online after a series of recent interviews, including an appearance in GQ’s “One More Question” series. In a separate interview at the Screentime 2026 conference in Los Angeles, he also described how he has worked with open video models.
Affleck said his interest in the technology grew as film production shifted from analog to digital. He described using machine-learning methods in visual-effects workflows, including tools that identify image features such as edges and objects. He also said he can write basic Python scripts and explained concepts such as neural networks, transformers, tensors and GPUs to interviewers.
His interest led him to develop InterPositive, an AI filmmaking startup he founded in 2022, which was later sold to Netflix. TechCrunch reported a $587 million sale figure, but Affleck said that amount was not accurate and noted that he did not own the entire company. He described creating a dataset through roughly eight months of filming with cameras and other equipment, intended to help train open models for specific production tasks.
At Screentime, Affleck discussed adapting open models by changing their weights and training them to meet cinematic requirements. He said the approach could let filmmakers retain their proprietary work while using models tailored to a particular production. His film “Animals” used AI during post-production, according to the report.
Affleck has framed the technology as a filmmaking aid rather than a replacement for the industry. His stated concerns include responsible use and effects on students’ learning. The interviews offer a view of how he connects technical AI methods with practical production workflows, while leaving questions about deployment and ownership grounded in his account of his own work.