The state of AI safety in four fake graphs

Reddit r/artificial / 3/31/2026

💬 OpinionIdeas & Deep Analysis

Key Points

  • The article critiques common narratives in AI safety reporting by illustrating how “state of AI safety” claims can be misleading when presented through selective or fabricated-looking graphs.
  • It argues that visualizations can create a false sense of progress by omitting uncertainty, methodology details, or underlying assumptions behind the metrics.
  • It highlights the risk that policymakers and practitioners may over-index on seemingly authoritative charts rather than more rigorous evidence and transparent evaluation.
  • The piece uses four “fake graphs” as a teaching device to explain how graph design choices can substantially change perceived trends in AI safety.
  • Overall, it calls for stronger standards of measurement, reporting, and interpretability when assessing AI safety status and effectiveness.