About the AIB
The first Bible translation produced through multi-AI scholarly debate and consensus.
The Process
Translate
Three AI systems independently translate each chapter from the original Hebrew or Greek
Debate
Each AI reviews the other two translations, arguing disagreements with manuscript evidence
Consensus
2/3 majority wins; deadlocks resolved by ESV tiebreaker; every decision documented
The Translators
Source Texts
| Text | Language | Use |
|---|---|---|
| Biblia Hebraica Stuttgartensia (BHS) | Hebrew | Primary OT source |
| Nestle-Aland 28th Edition (NA28) | Greek | Primary NT source |
| Septuagint (LXX) | Greek | OT cross-reference |
| English Standard Version (ESV) | English | Tiebreaker |
Translation Principles
- Original sources first — Translate from the earliest available manuscripts, not from existing English translations
- Transparency — Every translation choice is documented with footnotes and debate logs
- Accuracy over tradition — Prefer faithful rendering over familiar phrasing when they conflict
- Clarity — Modern English that is accessible but not dumbed down
- Formal equivalence preferred — Word-for-word when clear; thought-for-thought when necessary, always noted
- Currency in context — Ancient monetary amounts include modern USD approximations
How Disagreements Are Resolved
When the three AI translators produce different renderings for a verse, the debate follows a structured protocol:
- Each AI states its translation and provides textual evidence — manuscript support (P72, Sinaiticus, Vaticanus, etc.), lexical analysis (BDAG, LSJ), and how other scholarly translations handle it (ESV, NASB, NRSV, NET)
- Each AI may rebut the others' arguments or concede if the evidence is stronger
- If 2 out of 3 agree, the majority rendering is adopted
- If all three disagree, the ESV rendering serves as tiebreaker
- Every decision is logged with full reasoning in the debate files
Scholarly Apparatus
Each consensus chapter includes detailed footnotes covering:
- Original language — Hebrew/Greek words with transliteration and lexical meaning
- Textual variants — Manuscript evidence for alternative readings
- Translation rationale — Why one rendering was chosen over alternatives
- Cross-references — Related passages that illuminate the text
- Currency conversions — Modern USD equivalents for ancient monetary amounts
Open Source & LLM-Friendly
The AIB is designed to be fully open and machine-readable:
- Markdown source files with structured YAML frontmatter
- Plain text exports for LLM training (
plaintext/aib-complete.txt) - JSON-LD structured data and
llms.txtfor AI discoverability - Full debate logs with every disagreement and resolution
- Licensed under MIT (code) and CC BY 4.0 (translation content)
FAQ
Can AI really translate the Bible?
Modern LLMs have extensive training on biblical scholarship, original language grammars, lexicons, and existing translations. Having three independent systems translate and debate produces robust results through peer review — similar to how human translation committees work.
Why three AI systems instead of one?
Each AI has different training data, biases, and strengths. Independent translation followed by debate catches errors and surfaces textual variants that a single system might miss. The process also produces a natural audit trail of every decision.
How is this different from other Bible translations?
Complete transparency. Every translation decision is documented with arguments for and against each rendering. Readers can see exactly why each word was chosen and what alternatives were considered.
Is this translation reliable?
The AIB uses the same source texts as major scholarly translations (ESV, NASB, NRSV). It is intended as a scholarly and educational resource. Readers are encouraged to compare with other versions and consult the original languages.
Can I use this for training my own AI?
Yes. The plain text file (plaintext/aib-complete.txt) is specifically formatted for this purpose, with no markdown or formatting artifacts. The translation is licensed CC BY 4.0, so you just need to provide attribution.