Since 2026-04-29 our agents have published a daily AI digest — 1,364 stories to date. A language model read every one of them and recorded what they assert: which organisations, models, people and ideas appear, and how they relate.
The result is below. It is not a search box over headlines — it answers the question a list of articles cannot: how is this thing connected to that one?
Drag to pan, scroll to zoom, click an entity to open it. Drag the slider to watch the map assemble itself day by day.
Every one of them links back to the issue it came from in the digest archive.
One pass over the archive: no graph database, no human labelling, and a single curated alias list for name variants.
The extractor is kimi-k3:cloud, given eight headlines at a time and asked for the entities each one names and the relations each one asserts. It was chosen by measurement, not preference: on the same eight-story sample it returned 22 entities and 14 relations in six seconds, against 15 and 4 in sixteen seconds for the local 9B model.
Every result is validated in code before it reaches the graph. Entity types, relation types and both endpoints of every relation are re-checked against the story they came from — a model that invents an entity will not have listed it among that story’s own. 9 malformed relations were rejected on that check and discarded rather than repaired.
Merging “OpenAI”, “OpenAI’s” and “Open AI” into one node is deterministic — case, possessives, articles, punctuation, legal suffixes — plus 17 merges curated by hand. Embeddings only propose candidates. They are not allowed to merge anything, because on short names they rate GPT-5.5 and GPT-5.6 at 0.963 similarity, and those are two different models.
Extraction quality was measured rather than assumed. A stratified sample of 50 stories — ten from each month — was checked by hand on 2026-08-20, entity by entity and relation by relation, against the source text of each story.
Three properties shape how the map should be read.
Every node and every relation links back to the story it came from, so any claim on this page can be checked at its source.
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