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Watching o3 guess a photo's location is surreal, dystopian and entertaining (simonwillison.net)

987 points by simonw · 462 days ago · 433 comments on HN

Article summary

The article discusses the capabilities of OpenAI's o3 model in guessing the location of a photo. The model uses visual clues from the image to make an educated guess about the location. The author tested the model with a photo taken in El Granada, California, and it correctly identified the location as being on the Central Coast of California, although it initially guessed a different town. The model's ability to identify locations from photos has both positive and negative implications, including potential privacy concerns.

Main themes

  • AI location guessing
  • Photo analysis
  • Privacy concerns
  • EXIF data use
  • Model limitations
  • Ethics of AI development

What commenters say

  • Some commenters believe that the model's ability to guess locations is impressive, but not surprising, given the amount of information that can be gleaned from an image.
  • Others argue that the model may be using EXIF data to cheat and make more accurate guesses.
  • There is a debate about whether the model's use of EXIF data constitutes cheating, with some arguing that it is not in the spirit of the task.
  • Commenters also discuss the potential dangers of the model's ability to identify locations, including the risk of revealing sensitive information about individuals or locations.
  • Some argue that the model's ability to identify locations is a neutral tool that can be used for good or ill, depending on the context.
  • Others believe that the model's ability to identify locations is a significant concern for individuals who need to keep their location private for safety or security reasons.
  • There is also a discussion about the limitations of the model's ability to identify locations, including its potential to confabulate details or provide incorrect information.
  • Some commenters suggest that the model's ability to identify locations could be tested further by manipulating the EXIF data or using images with false or misleading information.