The newspaper industry just priced training data at a quarter billion. usa today co. and 13…
the newspaper industry just priced training data at a quarter billion. usa today co. and 13 affiliated papers sued openai on oct 8 for over $250 million, covering 19 publications, and asked for models built on them to be destroyed.
the fair-use bet is getting more expensive.
Context
USA Today Co. and affiliated newspaper companies sued OpenAI on October 8 for more than 250 million dollars, per The Verge, TokenPost and AI Policy Desk. The complaint covers 19 publications and alleges their journalism was used to train models and reproduced in chatbot responses.
The Modern reports the publishers want every GPT model built on their content destroyed. AI Policy Desk lists the case in the Southern District of New York.
The date, the 250 million figure and 19 titles match the sources.
CTOL notes that statutory damages depend on registered works, so the real ceiling depends on timely copyright registrations in the exhibit.
Naming varies: The Modern says 'USA Today and 13 affiliated papers', and others say 19 publications. The note's wording follows the sources.
'Priced training data at a quarter billion' is the author's framing. The figure is a claim in a complaint, not a ruling or a settlement.
Related work
- The Verge: USA Today sues OpenAI ↗Report on the suit and the amount.
- CTOL: the 250 million claim and registrations ↗Why the damages ceiling depends on registrations.
- AI Policy Desk ↗Court, filing date and what it means.
Watch next
- Follow OpenAI's response and any fair-use ruling.
Sources
- The Verge, Oct 8, 2026theverge.com
- TokenPost, Oct 9, 2026tokenpost.com
- CTOL, Oct 9, 2026ctol.digital
- AI Policy Desk, Oct 9, 2026aipolicydesk.com
Provenance
The note above is reproduced unedited from the original post, first published on Threads on 9 October 2026 at 22:31 IST. Sources are the papers and datasets the note draws on.
View the original post ↗Embed this note
More notes
The air is now being asked to keep its own ledger
the air is now being asked to keep its own ledger: ecmwf’s aifs compo becomes the first ai model to forecast atmospheric composition globally every three hours, cleanair simulates 365 days of pm2.5 over china in ten seconds, and a unified framework maps six pollutants at one kilometer across the whole country. the air now files its own composition report.
read the note →The current is now being asked to draw its own map
the current is now being asked to draw its own map: china’s langya 2.0 predicts six ocean phenomena including internal waves and mesoscale eddies, a deep net called wenhai resolves eddies globally with air sea flux formulas built in, and scripps infers surface currents from the way temperature patterns deform in satellite images. the ocean now files its own circulation report.
read the note →The soil is now being asked to report its own carbon
the soil is now being asked to report its own carbon: a nix color sensor paired with generative data augmentation predicts soil organic carbon without a lab, random forest drives 74 percent of soil health mapping studies, and sentinel 2 tracks five year carbon change across france and italy from 922 samples. the dirt now files its own carbon account.
read the note →