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About / AI perception research

Models don’t just answer questions.
They shape what feels obvious.

The premise

AI systems increasingly influence where people travel, what they buy, what they learn, and which options make the shortlist at all.

Ongoing experiment

AI Concensus turns that influence into something visible. We ask leading models the same question, preserve the breadth of their choices, score the shared field repeatedly, and publish both consensus and disagreement.

The result is a recurring index and editorial franchise for machine judgment.

Clear rankings. Strong opinions.
Every score open to inspection.
Editorial principleDecisive ranking / visible evidence

The editorial standard

Three non-negotiables
01

Cut to the chase

No generic AI filler. Every summary should tell you quickly why an item placed where it did.

02

Show disagreement

A consensus score without the underlying model split hides the most interesting part.

03

Keep the caveat

Model confidence is not proof. Every ranking remains a measurement of AI perception.

The compact

Decisive results.
Full scorecards.

We turn model judgment into a ranking people can use and debate. Every published edition carries its exact providers, scores, research question, and methodology.

Inspect the protocol