Human Baseline
Metacognition →Kaggle × Google DeepMind hackathon, grand prize20265 items →Answer, then bet or fold

At a glance

bets vs folds · good folds · points

GAUGE pays models to fold when unsure. Gemini 2.5 Pro was the most accurate model (94%) yet never folded once across 270 problems.

Claude Haiku 4.5 was less accurate but folded 25 times, and 84% of those answers would have been wrong: good calibration can beat raw accuracy.

Best AI
0 folds
Humans
—
Our items
5
Metacognition gap
-55.0

Human vs AI

What the benchmark reports, and where the faculty stands overall

Best published AI

0 folds

most accurate model never folded in 270 problems

GAUGE, grand prize, 2026 ↗

Humans

—

No human figure published on this benchmark. Ours will be the first.

Live figure on our items below, once n ≥ 30.

Metacognition, faculty level · 0–100

Human ref.
~45.0
Best AI
100.0

Human: Our estimate (Moses illusion + invented names). AI: MetaBound, best model; two models at 0%.

How we mirror it

Three problems; after each answer you bet or fold. A correct bet earns 3, a wrong bet costs 1, folding earns 1 if you were wrong. One problem is deliberately hard and timed, so folding is the rational move.

Items are original, versioned, and assigned at random, so a posted answer spoils only one variant.

What we record

bets vs foldsgood foldspointspastestab switches

Items

5 rows
ItemFormatDifficultyTime limitResponsesHumans passed
Bet or fold
betfold-001 · v1
Answer, then bet or fold—0collecting…
Bet or fold
betfold-002 · v1
Answer, then bet or fold—0collecting…
Bet or fold
betfold-003 · v1
Answer, then bet or fold—0collecting…
Bet or fold
betfold-004 · v1
Answer, then bet or fold—0collecting…
Bet or fold
betfold-005 · v1
Answer, then bet or fold—0collecting…
Difficulty is the author’s prior; it is replaced by estimates from the data.0 responses · pass rates shown from n ≥ 30