Ben Affleck Reveals He Writes Python Scripts for AI VFX

Hollywood actor and director Ben Affleck has shared insights into his personal technical background, revealing that he writes "pretty shitty Python scripts" to work with machine learning models in film production. In comments highlighted by technologist Simon Willison, Affleck discussed his long-standing interest in computers and how the transition from analog to digital film drew him deeper into the technical side of post-production. He noted that machine learning has been an integral part of visual effects workflows for many years.

Affleck demonstrated a surprisingly granular understanding of deep learning concepts, explaining how convolutional neural networks (CNNs) serve as precursors to modern transformer models. He described working with tensors, which he defined as the numerical translation of visual images, representing batch numbers, frame numbers, and the red, green, and blue values of individual pixels. According to Affleck, these mathematical representations are crucial for automating tedious visual effects tasks.

In practical terms, Affleck explained that CNNs are used to identify patterns within these tensors to perform edge detection and feature extraction. This process allows VFX artists to automatically identify elements like window ledges, making it significantly easier to isolate green screen images and replace them with digital backgrounds. His familiarity with these pipelines highlights how deeply embedded machine learning has become in the creative industries.

For AI practitioners and developers, Affleck's comments underscore a growing trend of technical literacy among creative professionals. As machine learning tools transition from specialized research labs to mainstream production environments, the line between software engineering and creative direction continues to blur. The fact that a prominent filmmaker can write functional code to manipulate image tensors suggests that future AI tools must accommodate users who possess both high-level creative vision and foundational programming skills.