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How Facebook uses public videos to train, deploy machine-learning models and harvest those eyeballs

Plus: Google Ethical AI team firings backlash worsens Katyanna Quach Sat 13 Mar 2021 // 09:41 UTC Share Copy In brief Facebook this week revealed an internal project to create machine-learning models that can understand visual, audio, and written content from videos publicly uploaded to its social network. One of the models, known as Generalized Data Transformations (GDT), is now used on Instagram. Users viewing short video recordings, or Reels, can quickly find other Reels they might like to watch, thanks to an AI-powered recommender system that picks similar clips that might be interesting. For example, if someone on Instagram tends to watch videos of tractors, the GDT recommender system will highlight other videos of tractors. The model notices similar features; both videos will contain images of a vehicle with big wheels or the sound of an engine whirring away.

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