What the seed corpus covers (institutional capture, controlled opposition, PSYWAR/occult, and the method), the abstract→concrete axis, and what the structure says we still need to add — modern conspiracy, alt-chronology, the reflexive sovcit layer, embeddings, scale.
Topics & Roadmap
What the seed corpus already covers, and what the structure predicts we should add next. The seed material is the three compressed knowledge-graph artifacts plus the design docs that shipped in the original project archive.
1. The seed topic set
The originating material clusters into three substantive cases plus one method.
Case A — institutional capture of moral traditions ("Script Hypothesis")
Two neighbour-love traditions (Judaism, Christianity) repeatedly borrowed by state, imperial, financial, and intelligence-adjacent actors. The reusable object is not a verdict but a pattern: a tradition teaches anti-dehumanization → an apparatus borrows its legitimacy → belonging is redirected into identity conflict → the conflict masks extraction. Distinctions held as first-class: a tradition ≠ its institutions ≠ a political movement ≠ an intelligence claim.
Case B — controlled opposition & ritual inversion ("Saturn both-sides")
The claim that the same Saturn/Saturnalia pattern (order plus managed revolt) appears on both political wings. Documented nodes (Saturnalia inversion; Theosophy/Lucifer; Bailey → Lucis; MKUltra; Wasson's CIA-front expedition; Jonestown; SLA; Process Church; O9A insight-roles) are kept separate from the symbolic overlay that would unify them — the overlay may interpret history but may not cause it unless an actor demonstrably used the symbol.
Case C — PSYWAR, occult, and manufactured criminality ("PSYWAR of Set")
Aquino as a high-salience bridge node (PSYOP officer and Temple of Set founder; From PSYOP to MindWar; named-and-contested investigations). Strong claims (continued-Nazi-occult-research, extortion-protection, cult/gang infiltration) encoded as allegations/hypotheses, never facts, until independent subgraphs corroborate.
The method (the real payload)
Source-as-observation; Cromwell rule (no claim at probability 0 or 1); confidence separated from salience (a wild claim can be low-confidence and high-salience and is kept, not deleted); graphlet recurrence across independent families as the truth-emergence signal; anti-overfit rules.
The six graphlet templates the seeds name
whispering adversary · controlled inversion · manufactured criminality ·
legitimacy laundering · source suppression · purification / remediation. These are the
hypotheses-as-structure the experiment harness tests for recurrence.
2. The abstract → concrete axis
Every node now carries a coordinate from abstract (symbol, metaphysical claim) to concrete
(named person, dated event, document), combining its type with the epistemic layer of the assertion
(metaphysical → mythic → interpretive → descriptive). This is the first real sorting dimension:
it lets us ask at what altitude convergence happens — do independent traditions agree on concrete
facts, or on abstract structure? Early signal: recurrence concentrates in the mid/structural band,
which is the interesting place (shared mechanism, not shared names).
3. Predicted additions (what the structure says we still need)
More families (each is just a new source-family; the process does not change)
- Modern internet/social conspiracy — e.g. the Britney "managed/AI-since-2021" narratives,
Illuminati-control memes. High salience, very low confidence,
metaphysical/mythiclayer. The Cromwell rule + confidence≠salience split exist precisely so this material can be kept and watched, not discarded. (Needs a fetch adapter — reddit/news dumps; not yet in storage.) - Alternative chronology / "missing years" — Fomenko (now ingested as
alt_chronology). Tests whether a revisionist-history narrative shares structure with ancient myth or with cult mechanics. - The reflexive layer — sovereign-citizen / own legal corpus — does the
isolation → identity-rebuild → compromise-lockmotif recur in the legal/sovcit material the same way it does in cult and scripture cases? (Sensitive; kept local, role-level only in any public view.) - County tax / public records at scale — the planned large corpus; the reason the hot paths are already vectorized and the storage is tiered to B2.
More dimensions (concepts can't be sorted without them)
- Semantic embeddings for every entity/claim (local
qwen3-embedding/nomic-embed-text), so concepts cluster cross-lingually and motifs match by meaning, not string. This is the Qdrant half of the architecture and the next dimension after abstract→concrete. - Temporal (when), geographic (where), independence/provenance (who-copied-whom).
Better extraction
- Instance-level is in (named entities + edges). Next: stronger calibration, de-duplication of entities across chunks, and suppressing concept-bleed from the prompt. A larger model on a GPU box makes this both better and faster.
4. What "getting there" requires
| Need | Why | Status |
|---|---|---|
| Instance-level extraction | un-darkens graphlet recurrence | done (v2) |
| Abstract→concrete axis | sort/lay out concepts | done |
| Vectorized metrics/nulls | county-scale corpus | done |
| Semantic embeddings (Qdrant half) | sort by meaning, cross-lingual motifs | next |
| More families incl. modern + reflexive layers | real cross-domain recurrence | in progress |
| GPU batch extraction | scale + calibration | when the corpus grows |
The discipline never changes — new data is a new family, new context is a new dimension. That is the process; everything above is just feeding it.