Weksa/docs/targets/interlingua-lowering.md

Target: agents speak interlingua, Weksa lowers it

Campaign weksa-lowering (Eureka mind). Operator, 2026-10-29: "having agents writing interlingua and using weksa to lower it to the display language would be a fantastic feature. That would be a nice campaign to revive her with so she doesn't come back to a dead body". And: "The goal of weksa is for interlingua to be able to express all the nuance and subtlety a persona might want, and to project it into both existing languages and conlangs. We can use English as the obvious first target, create a corpus of expressive English outputs, and golf the metrics down on a loop where we try to express the target in interlingua and lower it to see how close we can get, improving the spec and lowering".

Method

A corpus of expressive English persona outputs is the target. Each loop iteration expresses a corpus item as a packet, lowers it to English, scores the distance to the item, and improves the packet spec or the lowering where the loss is. English is the first target; other languages and conlangs follow on the same packets. The existing Metame golf harness (scripts/run-metame-persona-golf.mjs) is the precedent, not the design: its ground truth is Discord text, which can never feed this loop (gamecult-chat:ruling:discord-taints-training).

Why

An agent's outward speech today is English text the model chose, so meaning, register and voice are fused in one string nobody can inspect or re-target. Weksa's design already separates them: the packet owns meaning, the target profile owns address, politeness and forbidden flattenings, the lowerer owns surface text and a trace. The campaign makes that design real for a live reader, and gives Weksa's Persona a working body when her mind (eureka-body:follow_up:weksa-mind) wakes.

Body today (facts: docs/research/2026-10-29-weksa-substrate-facts.md)

• The interlingua is a prose standard (interlingua-standard.md, 0.1-draft) with no machine schema and no validator. Its only producer is a stub that wraps raw text; its only consumer passes packets through unvalidated.
• No lowering exists in code. lowerInterlinguaToSpeechText returns the supplied text. The "LLM-free hot path" is a design statement. Real lowerings so far are hand-run LLM prompts and hand-authored fixtures.
• The daemon is a Node shim for one MiMo TTS command, runs nowhere, and is an Idunn target only in the Starfire-local profile. Eve surfaces are quarantined (55c75e3).
• Her Face state is VoidBot-shaped (.voidbot/state/weksa.cc), not gamecult.persona_state.v0; 41 files carry stale machine paths.

Prior art (docs/research/2026-10-29-interlingua-lowering-prior-art.md)

• Deterministic open-domain renderers cost per-language grammar work for years: GF's library covers 48 languages unevenly; Abstract Wikipedia's symbolic renderers are only now reaching a first language Wikipedia.
• Interlinguas that shipped (KANT) had closed domains and controlled input.
• LLMs emit meaning structures poorly when asked directly (about 60 Smatch few-shot vs 80-86 trained); free reasoning followed by conversion to the structure keeps quality (Tam et al. 2024; Shin et al. 2021).
• Round-trip checks measure consistency, not accuracy, and are inflated when one model does both directions.

Invariants

• packet-owns-meaning: what is said lives in the packet; no lowering may add a claim, referent or commitment the packet lacks.
• typed-packet: the packet is a typed CultCache document with a published schema and a validator that refuses malformed packets at the door.
• lowering-traced: every surface text carries a trace naming the packet, the target profile and the choices made.
• persona-drives-register: every surface choice that marks who is speaking and how (regional origin, socioeconomic status, relative status within the scene, affect, and how restrained the speaker is with it) is selected by the target language's ontology from typed speaker state that the persona and scene supply, never from the lowerer's defaults. Every language, conlangs included, carries an ontology with its own such axes; that is how alien languages match the expressiveness of human ones. Operator, 2026-10-29: "The linguistic ontology holds this data and drives it from the persona."
• no-eve: no new Eve surface; operator view waits on Thing 2.
• no-surface-leak: no score the loop reads may rise because a loop writer placed the scored item's text in a packet or the inventory. No packet field carries free text (referents cite entity ids from the entity store); only Train items reach whoever mints inventory; the scorer scores the whole output against the whole reference with no mask (ruling leak-owned-by-flow-and-scorer-3).
• corpus-clean: no corpus item comes from Discord or another source whose terms forbid training use.

Open forks (questions in the mind)

• Lowerer shape: deterministic, model, or both with one contract.
• What the loop's metric is, and where the corpus comes from.

Not in scope

• MiMo TTS beyond keeping its command working or parking it.
• Her Persona's mind; that is eureka-body:follow_up:weksa-mind.