SocietyBench D

AI benchmark

Tier
D why
Snapshot

Open benchmark ↗co-minder.github.io/Societybench

What is SocietyBench?

SocietyBench measures whether language models can forecast how real social events unfold over time, using anonymized counterfactual timelines and scoring probability calibration and temporal accuracy.

  • General capability mostly

    “A complementary social ability, namely how well a model understands and forecasts the way real social events unfold, has barely been measured.”
    arxiv.org/abs/2608.04009v2 ↗

Paper: arxiv.org/abs/2608.04009v2 ↗

Tier D

D

Long tail: little or no usage data yet.

How much stands behind a tier: usage, who backs it, a confirmed line from its own site or paper, and a clear read on X. High with three of the four, medium with two, low otherwise.

  • 4 models scored
  • fewer than 5 models scored
  • in curated RL directories (1 pt)
How we got to tier D
  1. Adoption: 4 models scored; fewer than 5 models scored. Tier D.
  2. Not yet read on X.
  3. In curated RL directories: 1 point, a floor of none.
  4. Confirmed: a line from its own site or paper places it.

A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.

Where SocietyBench sits

Its domain on the map, live. Hover a logo for its name; click to open it. Open it on the full map

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Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-19 snapshot.