AI Lineage Network
How frontier AI reproduces itself, people, methods, models, money, and machines, 2010–2026. Every edge is a cited claim. 93 entities and 194 documented relationships across seven channels, people, methods, models, money, machines, data, and evaluation.
AI Lineage Network
A list of AI labs makes them look like independent competitors. Trace how they formed and a different picture emerges: a few origins reproducing themselves through seven channels.
The map holds 93 entities, labs, people, funders, chip and cloud providers, the twelve frontier model families, and the corpora and benchmarks they share, linked by 194 documented relationships across the US and Chinese ecosystems. Evidence is visible in the lines themselves: solid = documented, dashed = derived or reported, dotted = alleged, never promoted to fact.
What it shows that a list can't: talent moves in a loop, not a pipeline, OpenAI's fission wave began flowing back by 2026. The acqui-hire without the acquisition (Microsoft–Inflection, Google–Character.AI, Meta–Scale) is now a standard maneuver. A handful of groups act as investor, compute provider, and competitor to the same labs, on both flags. And beneath the rivalry sits a commons nobody competes over, shared corpora, shared benchmarks, the most uniformly connected layer in the map.
The Paradigm tab asks the sharpest question: has anyone actually moved? Current answer: no model has left the dominant paradigm, but the architecture column, constant for years, shows its first potential documented break.
Use the tabs to switch views, the toggles to isolate a channel, and click anything for its sources. Search by Network, Timeline, Heatmap, Rankings, Concentration ,or Paradigm, in radial or network views.