AnalysisOpinion / analysisComputer Vision · Image, Video & 3D Generation · Interpretability1 source · Oct 7, 2026

Quoting Ben Affleck

And a tensor, you use a convolutional neural network to identify patterns in that that would reveal what's called edge detection or feature extraction, which is just identifying patterns enough to know like this is where the window ledge is, so we can more easily take the green screen image out and replace it with something.

Proof1 independent outlet

Key points

  • I've always been kind of into computers since I was young.
  • And then when film started to move from analog film to digital, I became more interested in that aspect of it.
  • And the visual effects workflow for many years has included machine learning.

Sources (1)

  • [1]Quoting Ben Affleck
    Simon Willison's Weblog · Oct 7, 11:14 PM
    And a tensor, you use a convolutional neural network to identify patterns in that that would reveal what's called edge detection or feature extraction, which is just identifying patterns enough to know like this is where the window ledge is, so we can more easily take the green screen image out and replace it with something.
    I've always been kind of into computers since I was young.

Extractive summary: sentences quoted from the sources.

Before this

  1. Oct 7, 2026Multimodal open d1 decision models for the edge
  2. Oct 7, 2026Iris-3B: Going Beyond the Latent with Pixel-Space Diffusion Training, Conversion and Fine-Tuning
  3. Oct 6, 2026huggingface/transformers v5.19.0: Release v5.19.0
  4. Oct 6, 2026EmbeddingGemma 2: an open, lightweight multimodal embedding model
  5. Oct 6, 2026Optimization Encoders: Rethinking Second-Order Meta-Learning for Neural Fields
  6. Oct 6, 2026huggingface/diffusers v0.41.0: Diffusers 0.41.0: QwenImage 2.1 pipeline and more

Related