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Exploring 12M of the 2.3B images used to train Stable Diffusion (waxy.org)

446 points by detaro · 1471 days ago · 150 comments on HN

Article summary

The article explores the 2.3 billion images used to train Stable Diffusion's image generator, with a focus on a subset of 12 million images. The dataset was collected by LAION, a nonprofit, and is based on images scraped from the web, including those from Pinterest, WordPress, and stock image sites. The article analyzes the sources of the images, the representation of artists and famous people, and the presence of NSFW content. The dataset is available for browsing and searching, but has since been taken down due to concerns about child sexual abuse material.

Main themes

  • AI-generated content
  • entertainment industry
  • copyright and ownership
  • infinite TV
  • content creation
  • AI-assisted production

What commenters say

  • The use of AI-generated content will revolutionize the entertainment industry by making it possible for individuals to create high-quality content without large budgets or teams.
  • The quality of AI-generated content is not yet comparable to human-created content, and it is unlikely that AI will be able to create high-quality, original content on its own in the near future.
  • The concept of 'infinite TV' is intriguing, but it is unclear what kind of content would be available on such a platform and how it would be curated.
  • The use of AI to generate content raises concerns about copyright and ownership, particularly if the AI is trained on copyrighted material without permission.
  • The idea of 'mining for movies' by discovering sequences of 1's and 0's that correspond to unseen movies is an interesting one, but it is unclear whether this is a feasible or desirable goal.
  • The development of AI-generated content will likely lead to a flood of low-quality content, making it difficult for viewers to find high-quality content.
  • The use of AI to assist human creators could lead to new and innovative forms of content, but it is unclear whether this would be a net positive or negative for the entertainment industry.