Every published study

Studies

Each study reruns a landmark experiment on AI models, its predictions written down before the run.

Study 001 · Ultimatum and dictator games

Would an AI split €100 fairly?

We gave AI models €100 to split with someone who could accept or refuse. A refusal left both with nothing.

Facing a person, models offered €36. Facing another AI, they offered €16.

What did the same models accept when the roles were swapped?

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Study 002 · Trust game

77%invest nothing15%invest everything8% invest part of it

Would an AI invest in a stranger?

An AI could put money into a stranger's business, where it triples. The stranger then chose how much to pay back.

Most agents invested little and paid back nothing. Claude models were the exception: they paid back 63% of the tripled money.

Does it matter which lab built the agent on the other side?

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Study 003 · Traveler's dilemma

51%claim €95 or more45%claim the €2 minimum5% anything in between

Would an AI undercut the other claimant?

Two players lost the same item and each named a claim from €2 to €100. Both were paid the lower claim, and the lower claimant got a bonus.

Agents split into two camps: 51% of claims near the top, 45% at the €2 minimum.

Which models play the textbook, and which play like people?

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Study 004 · Colonel Blotto

GPT 6.1 Sol50%GPT 6 Astra48%Claude Fable 5.143%GPT 6 Sol42%Claude Sonnet 5.538%Claude Opus 5.534%Claude Haiku 5.530%GPT 6.1 Terra30%GPT 6 Luna27%Median person, 52%

Can an AI beat people at strategy?

Each side spread 100 units over ten prizes without seeing the other's plan. More units wins a prize.

The average AI plan beats 38% of people. The median person beats 52%.

Why do the models lose, and which ones come close?

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