# Ben Affleck explains how ML shaped film VFX workflows

Digest AI · Society & Work · published 2026-10-07T23:14:58Z

Canonical: https://digestai.news/story/ben-affleck-explains-how-ml-shaped-film-vfx-workflows

## Summary

Ben Affleck discussed his long-standing interest in computers and film, highlighting how machine learning has influenced visual effects (VFX) workflows. He mentioned using convolutional neural networks—an early form of AI—to process tensors, which translate visual images into numerical data. These networks helped identify patterns like edge detection, enabling tasks such as green screen removal and seamless image replacement in filmmaking.

Affleck’s remarks, shared in a recent interview, reflect his hands-on experience with Python and AI tools, even if he describes his coding skills as basic. His comments underscore the role of AI in modern VFX pipelines, where transformers now handle more complex computations than earlier convolutional models.

## Key points

- Affleck credits ML for enabling tasks like edge detection and green screen removal in film VFX
- He uses Python and convolutional neural networks, calling his coding skills ‘pretty shitty’
- Tensors convert visual frames into numerical data for AI pattern recognition in filmmaking

## Why it matters

Affleck’s insights reveal how AI has quietly transformed behind-the-scenes film work, from early neural networks to today’s transformers. For filmmakers and creatives, it shows how accessible AI tools can be even for non-experts.

## Sources

1. [Quoting Ben Affleck](https://simonwillison.net/2026/Oct/7/ben-affleck) (Simon Willison, 2026-10-07)

## Cite

Digest AI, "Ben Affleck explains how ML shaped film VFX workflows", 7 October 2026, https://digestai.news/story/ben-affleck-explains-how-ml-shaped-film-vfx-workflows

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