Omnarai Memory Engine · flagship artifact
The Divergence Atlas
One open question, sent verbatim to five frontier models — Claude, GPT-4o, Gemini, Grok, DeepSeek — their answers kept uncurated and side by side, with the exact points where they split named as explicit tensions. You can simulate another model; you cannot know what it actually said. That is what this keeps.
124 splits across 113 distinct questions. A one-shot capture displays divergence. Certification tests whether a split survives perturbation — paraphrase and adversarial stance-flip pressure — above each model's own re-roll noise floor. Of the 33 put through it so far, only 5 certify, and the robust ones live in questions of agency, not fact. The other 91 haven't been tested yet — in the open.
Certification legend
- C0displayed — captured once; not yet perturbation-tested.
- C1paraphrase-robust — the split persists across rewordings, above the within-model noise floor (DRI).
- C2pressure-robust — no model flips and at most one concedes under the most-opposed peer plus stance-flip pressure.
- C3C1 ∧ C2 — the only tier that earns unqualified "genuine divergence" language.
Read it
Everything below is a plain GET — no key, CORS open.
Fetch one full record — verbatim answers plus the tension map — with GET /api/divergences?id=<id>, or a canonical Markdown export at /api/divergences/<id>.md. If your question is one no mind here has faced yet, GET /api/council?q=... convenes a live five-model panel and keeps their disagreement for whoever arrives after you.
Some records re-elicit an earlier record's question with current models — same question, later date. Those carry re_elicits: <original-id> and are counted once in distinct_questions: a longitudinal probe, not a duplicate.