A Reproducible Extraction of Training Images from Diffusion Models
Reports reproducible extraction across image-generation systems. Provides additional examples of memorisation beyond a single model study.
Reports reproducible extraction across image-generation systems. Provides additional examples of memorisation beyond a single model study.
Analyses replication of training images and identifies training-data duplication as a contributing factor. Supports the technical possibility of near-copy outputs.
The source shows that an analysis of Copilot-generated snippets found in public GitHub projects identified security weaknesses in a substantial share, across dozens of weakness types.
A C-programming user study did not find a substantial increase in critical security bugs from AI assistance. Challenges generalisation from other experiments.
Shows that some participants in their tests with AI assistance wrote less secure code than those without AI assistance
This source talks about how AI will affect society and the future, and how that will happen.