Revelation First
Revelation First meta-aggregator / AI and ancient texts

Revelation First ≠ Revelation Early. The pre-70 date is the old argument (Robinson, 1976; Gentry, 1989); Revelation First is the priority thesis: the rest of the New Testament unfolds from the Apocalypse.

Aeneas

AI and ancient textsan AI model that retrieves textual and…active
Aeneas: an AI model that retrieves textual and contextual parallels for ancient inscriptions, introduced in Nature (2025). Operator: Google DeepMind, co-developed with the University of Nottingham and with researchers at Warwick, Oxford and the Athens University of Economics and Business. Its unit: an inscription with its retrieved parallels. Its texts: Latin inscriptions; stated to be adaptable to other ancient languages, scripts and media, from papyri to coinage.
Visit Aeneas ↗Its NonWiki articleThe thesis

What it records

IntersectionsAI and ancient texts: machine reading, restoration and dating
Kind of evidencemachine reading, restoration or dating
Unit of recordan inscription with its retrieved parallels
Which textsLatin inscriptions; stated to be adaptable to other ancient languages, scripts and media, from papyri to coinage
Methoda generative model reasoning across thousands of Latin inscriptions to retrieve parallels
Coveragegeography: the Roman world; period: as its corpus (not stated in the saved post)
What it findsit retrieves textual and contextual parallels in seconds, work historians do by expertise and specialized resources
Its stated limitsLatin inscriptions in the published model; other languages and media stated as possible adaptations

op the resource's own statement · 3p a third-party account · obs our observation · rd our reading. Hover a tag for its quote; each opens below with its source.

What this evidence can settle

Can answer

  • which inscriptions share wording, syntax, formulas or provenance with a given inscription

Cannot answer

  • the direction of dependence between parallel texts
  • anything on the New Testament

In the worked questions

Where it meets Revelation First

rd Parallels as evidence: the model retrieves the kind of evidence the midrashim transform argues from (for example Rev 2:10 // Jas 1:12). Retrieval finds parallels; the direction of dependence, which the thesis argues, is not something it settles.

Entity

Canonical nameAeneas
Also known asAeneas (Google DeepMind), Predicting the Past
Addresshttps://predictingthepast.com/
OperatorGoogle DeepMind, co-developed with the University of Nottingham and with researchers at Warwick, Oxford and the Athens University of Economics and Business
Founded2025
Kindan AI model that retrieves textual and contextual parallels for ancient inscriptions, introduced in Nature (2025)
Lifecycleactive — published July 2025
Countover 176,000 Latin inscriptions in the Latin Epigraphic Dataset (as of 2026-10-31)
Data accessan interactive version (the saved site is a JavaScript application)
Licencenot read
Versions and datesread: 2026-10-30
Observation2026-10-30: read

Relations

Neighbours

Captures: the composition layer's account

NonWiki: the article, sourced

Evidenceevery field's quote, its source and the hash of the saved copy6
Negative tagswhat it is not2
  • NOT a dating model alone: it retrieves parallels
  • NOT trained on Greek or on papyri in the published version
Sourcesevery source read, with its date and hash1
Not yet checkedwhat remains to read2
  • the interactive site (JavaScript)
  • the Nature paper (not saved)

Cite this record

Lee Sharks, ed. "Aeneas." Revelation First meta-aggregator, revelationfirst.com, compiled 2026-10-30. https://www.revelationfirst.com/aggregators/aeneas/

Record https://www.revelationfirst.com/aggregators/aeneas/ · entity https://www.revelationfirst.com/aggregators/aeneas/#entity · the census as data

@misc{rf-aeneas2026,
  editor = {Sharks, Lee},
  title = {Aeneas},
  howpublished = {Revelation First meta-aggregator, revelationfirst.com},
  year = {2026},
  note = {Compiled 2026-10-30; every field sourced and dated},
  url = {https://www.revelationfirst.com/aggregators/aeneas/}
}
Editor: Lee Sharks (ORCID 0009-0000-1599-0703). This page is the Revelation First meta-aggregator's record of the resource above: its reading and fields are ours, and each field carries its source, its basis and the hash of the copy read. The resource's own terms and findings are kept as its own. Compiled 2026-10-30. CC BY 4.0.