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Date	Provider	Score	Summary
08 Oct 2026, 7:14 AM	Simon Willison	3.0	Quoting Ben Affleck Simon Willison's weblog republishes a quote from Ben Affleck describing how machine learning has long been part of visual effects work: he says he can write 'pretty shitty Python scripts' and explains using convolutional neural networks on tensors — the numeric encoding of a frame's pixels including batch number, frame number, and RGB values — for edge detection and feature extraction so green-screen elements can be replaced. He frames CNNs as precursors to transformers, which he describes as 'just much more computation simultaneously.' Why: There is no product, version, price, or policy change here — it's a quote post, so nothing forces a builder to change anything. Its only practical use is as a plain-language analogy: the tensor-to-edge-detection-to-green-screen-replacement chain is a concrete way to explain CNN feature extraction to someone who has only ever used transformers, and the 'precursors to transformers' framing is a reminder that the VFX pipeline was running ML in production well before the current LLM wave. machine-learning python education computer-vision

Date

Provider

Score

Summary

08 Oct 2026, 7:14 AM

Simon Willison

3.0

Quoting Ben Affleck

Simon Willison's weblog republishes a quote from Ben Affleck describing how machine learning has long been part of visual effects work: he says he can write 'pretty shitty Python scripts' and explains using convolutional neural networks on tensors — the numeric encoding of a frame's pixels including batch number, frame number, and RGB values — for edge detection and feature extraction so green-screen elements can be replaced. He frames CNNs as precursors to transformers, which he describes as 'just much more computation simultaneously.'

Why: There is no product, version, price, or policy change here — it's a quote post, so nothing forces a builder to change anything. Its only practical use is as a plain-language analogy: the tensor-to-edge-detection-to-green-screen-replacement chain is a concrete way to explain CNN feature extraction to someone who has only ever used transformers, and the 'precursors to transformers' framing is a reminder that the VFX pipeline was running ML in production well before the current LLM wave.