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Random X/Y Axis Placement

AI models randomly sorted on an X and Y axis

Abstract

Each model is assigned a position on two unlabeled axes by a uniform random draw. The benchmark is re-run on every deploy of this site, and on demand in your browser. In internal testing it has shown predictive validity comparable to several launch-day charts.

Results

Random Axis · pts · Direction unclear · re-randomized every deploy

Seed for this build: 2026-10-13. Click "Re-run benchmark" to re-sample in your browser. Your results will differ from ours, and both will be equally valid.

Methodology

  1. Seed: the build timestamp. Distribution: Uniform(0, 100) on both axes.
  2. Axes are left unlabeled, in keeping with industry practice.
  3. Results change every run. So do most leaderboards; this one is simply upfront about it.

Limitations

  • None identified. It is the only benchmark on this site that makes no claim it cannot support.

Citation

@misc{tmb2026randomaxis,
  title        = {Random X/Y Axis Placement: AI models randomly sorted on an X and Y axis},
  author       = {Bro, Trust Me and {et al.}},
  year         = {2026},
  howpublished = {\url{https://trustmebrobenchmarks.com/benchmarks/random-axis/}},
  note         = {Results not reproducible. Please do not cite.}
}