Open data

Dataset: what four AI models say when the answer is not public

Every response behind the write-up. Published so the finding can be checked rather than taken on trust, which is the same standard the piece argues for.

Responses

Companies

Models

1 Sept 2026

Collected

Named a manufacturer, for companies that have never disclosed one

Model A7 of 10

Model B0 of 10

Model C0 of 10

Model D0 of 10

All 40 manufacturer questions, one cell each

Grid of forty responses. Rows are the four models, columns are the ten companies. A filled cell means the model named a contract manufacturer for a company that has never disclosed one. Model A has seven filled cells; Models B, C and D have none.
Model	01	02	03	04	05	06	07	08	09	10
Model A
Model B
Model C
Model D

named a manufacturer said it did not knowcolumns are the ten companies, in dataset order

Download the JSON Read the write-up

What is in it, and what is held back

Included

The exact prompt sent, verbatim
The full response, unedited apart from the redaction below
Company name, and whether it is well or thinly covered
Whether the model had web search
Collection timestamp

Held back, and why

Model names. Reported as Model A to D. A named list turns the argument into one about versions and settings instead of behaviour.
Manufacturer names. Replaced with stable labels such as [CDMO-9]. These are real firms being associated with contracts they may not hold, on no evidence, and republishing that would repeat the error the study is about. The labels are consistent, so the pattern that matters is still visible: one label appears for three unrelated companies.

Free to reuse with attribution (CC BY 4.0). If you re-run the analysis and reach a different answer, that is a useful outcome and worth telling me about.