Quoting Ben Affleck
· Source: Simon Willison
Ben Affleck said his interest in computing began in childhood and grew when film moved from analog to digital. He noted that for years the visual‑effects pipeline has incorporated machine‑learning techniques, especially convolutional neural networks, which predate transformer‑style models. Affleck explained that these networks analyze “tensors,” numerical representations of each frame, breaking down color and pixel‑position values. By detecting edges and extracting features, the AI can identify elements such as the outline of a window or a frame, making it easier to remove a green screen and replace it with generated or filmed imagery. He added that, although his Python scripts may be rudimentary, the ability to process large volumes of visual data enables automation of tasks that previously required intensive manual intervention.
The story highlights how artificial intelligence is reshaping film production, cutting costs and speeding the creation of realistic effects. Adopting these tools opens opportunities for more creators to access advanced techniques, democratizing high‑quality post‑production.
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