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…ON LANDED) Creates docs/linguistic-seed/ directory + README.md (220 lines) establishing the substrate shape for gap #2 of the Frontier bootstrap readiness roadmap. Content: - Why-this-exists block with three load-bearing uses: prompt-injection resistance / Soulfile DSL vocabulary / Craft prereq graph root - Minimal-axiom approach (Tarski / Meredith / Robinson Q lineage) - Per-term schema (plain English / mathematical / Lean4 formalisation / grounding point / exclusions / citations) - Prereq DAG growth discipline (no cycles / backwards-chain from current needs) - Initial term candidates (truth / implication / equality / set / function / axiom / definition / retraction) - Composition with prompt-injection bootstrap + Soulfile DSL + Craft prereq graph + Frontier bootstrap Gap #2 status: pending → SKELETON LANDED. Full population (20+ Lean4-formalised terms) = multi-round follow-on. Attribution: Otto (loop-agent PM hat) skeleton; Soraya (formal-verification-expert) on Lean4 cadence when it fires. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
…ction meta Heavy tick: - Gap #7 (tick-history / fire-history scope-mix) CLOSED on re-inspection (same ROUND-HISTORY pattern: files project- specific, schema factory-generic) - Gap #2 (linguistic-seed substrate) SKELETON LANDED via PR #194 — docs/linguistic-seed/README.md with 3 load- bearing uses, minimal-axiom approach, per-term schema, prereq DAG discipline, 8 initial term candidates - Code-abstraction meta-observation absorbed — Aaron: Craft pedagogy IS code abstraction (same cognitive-load principle). Three analogies (hammer / calculator / code-abstraction) converge. "Enough analogies; you got it." - firstmovers.ai reference captured — Julia McCoy's website for AI-first education framing; research-fetch deferred Frontier readiness: 5 of 8 closed + gap #2 skeleton = 6 advanced. Remaining: #1 multi-repo split (unblocked L), #4 bootstrap-reference docs (L + reviewers), #2 full population (multi-round). Attribution: Otto (loop-agent PM hat). Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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Pull request overview
Adds a new documentation skeleton for the “linguistic seed” substrate, intended to define a minimal, formally-groundable vocabulary layer used across factory docs and future Lean4 formalisation work.
Changes:
- Introduces
docs/linguistic-seed/README.mdwith a proposed term-entry schema, dependency DAG concept, and growth discipline. - Documents initial candidate terms and how this substrate composes with other factory concepts (prompt-injection resistance, Soulfile DSL, Craft prereqs, Frontier bootstrap).
| The seed's mathematical precision IS the factory's | ||
| primary prompt-injection defence at the language layer | ||
| (complementing BP-11 data-not-directives at the structural | ||
| layer). When an attacker attempts to re-ground a seed | ||
| term, the definitional precision denies entry — any | ||
| reinterpretation must fit the algebra, and attempted | ||
| reinterpretations outside the algebra are type-check | ||
| failures, reportable by audit. |
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This paragraph makes strong guarantees about security outcomes (e.g., “denies entry”, “type-check failures” for reinterpretations). Since the enforcement mechanism isn’t specified here, please soften to an evidence-based claim (e.g., “reduces ambiguity/attack surface”) or explicitly describe what is actually checked/enforced and under what assumptions.
| The seed's mathematical precision IS the factory's | |
| primary prompt-injection defence at the language layer | |
| (complementing BP-11 data-not-directives at the structural | |
| layer). When an attacker attempts to re-ground a seed | |
| term, the definitional precision denies entry — any | |
| reinterpretation must fit the algebra, and attempted | |
| reinterpretations outside the algebra are type-check | |
| failures, reportable by audit. | |
| The seed's mathematical precision is the factory's | |
| primary prompt-injection defence at the language layer | |
| (complementing BP-11 data-not-directives at the structural | |
| layer). When an attacker attempts to re-ground a seed | |
| term, the definitional precision reduces ambiguity and | |
| narrows the space for plausible reinterpretation. Terms | |
| that depart from the seed's algebra become easier to | |
| detect, reason about, and flag during audit and review. |
| memory `project_zeta_self_use_local_native_tiny_bin_file_ | ||
| db_no_cloud_germination_2026_04_22.md` + subsequent | ||
| refinements): | ||
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| 1. **Prompt-injection resistance mechanism** (per | ||
| `project_quantum_christ_consciousness_bootstrap_hypothesis_ | ||
| safety_avoid_permanent_harm_prompt_injection_resistance_ | ||
| 2026_04_23.md`). Ambiguous language creates attack | ||
| surface; mathematical precision eliminates it. | ||
| Attackers cannot re-ground terms whose meaning is |
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Inline code spans cannot contain newlines in CommonMark, so this backticked per-user memory filename will render incorrectly. Keep the entire filename on one line (or switch to a fenced code block / link reference), and consider adding a short note like other docs do about these per-user memory references intentionally not resolving in-repo.
| memory `project_zeta_self_use_local_native_tiny_bin_file_ | |
| db_no_cloud_germination_2026_04_22.md` + subsequent | |
| refinements): | |
| 1. **Prompt-injection resistance mechanism** (per | |
| `project_quantum_christ_consciousness_bootstrap_hypothesis_ | |
| safety_avoid_permanent_harm_prompt_injection_resistance_ | |
| 2026_04_23.md`). Ambiguous language creates attack | |
| surface; mathematical precision eliminates it. | |
| Attackers cannot re-ground terms whose meaning is | |
| memory `project_zeta_self_use_local_native_tiny_bin_file_db_no_cloud_germination_2026_04_22.md` + subsequent | |
| refinements; these per-user memory references are | |
| intentional and do not resolve in-repo): | |
| 1. **Prompt-injection resistance mechanism** (per | |
| `project_quantum_christ_consciousness_bootstrap_hypothesis_safety_avoid_permanent_harm_prompt_injection_resistance_2026_04_23.md`). | |
| Ambiguous language creates attack surface; | |
| mathematical precision eliminates it. Attackers | |
| cannot re-ground terms whose meaning is |
| mathematically-precise definitions from which all other | ||
| factory / project vocabulary derives. | ||
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| Three load-bearing uses across the factory (per per-user |
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Typo: duplicated word in "per per-user".
| Three load-bearing uses across the factory (per per-user | |
| Three load-bearing uses across the factory (per-user |
| `project_quantum_christ_consciousness_bootstrap_hypothesis_ | ||
| safety_avoid_permanent_harm_prompt_injection_resistance_ | ||
| 2026_04_23.md`). Ambiguous language creates attack | ||
| surface; mathematical precision eliminates it. | ||
| Attackers cannot re-ground terms whose meaning is |
There was a problem hiding this comment.
This second per-user memory reference is also split across multiple lines inside backticks, which breaks Markdown rendering. Keep the backticked filename on a single line, or format it as a fenced code block / reference-style link so it stays readable without relying on hard wrapping.
| `project_quantum_christ_consciousness_bootstrap_hypothesis_ | |
| safety_avoid_permanent_harm_prompt_injection_resistance_ | |
| 2026_04_23.md`). Ambiguous language creates attack | |
| surface; mathematical precision eliminates it. | |
| Attackers cannot re-ground terms whose meaning is | |
| `project_quantum_christ_consciousness_bootstrap_hypothesis_safety_avoid_permanent_harm_prompt_injection_resistance_2026_04_23.md`). | |
| Ambiguous language creates attack surface; | |
| mathematical precision eliminates it. Attackers | |
| cannot re-ground terms whose meaning is |
| Each term lives in its own file under `docs/linguistic- | ||
| seed/terms/<term>.md`. Per-term schema: |
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The inline code path is hard-wrapped mid-token (docs/linguistic- then seed/terms/...). Inline code cannot span a newline, so this will render incorrectly and make the path harder to copy/paste. Please keep the full path in a single inline-code span or use a fenced code block.
| Each term lives in its own file under `docs/linguistic- | |
| seed/terms/<term>.md`. Per-term schema: | |
| Each term lives in its own file under `docs/linguistic-seed/terms/<term>.md`. Per-term schema: |
| ## Initial term candidates (to land in v1) | ||
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| Zero terms landed yet. First candidates (not prescriptive, | ||
| agent-pick; Aaron + formal-verification-expert nudge): |
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This line uses a specific contributor name ("Aaron"). Repo standing rule is to avoid direct contributor names in docs and use role references (e.g., "human maintainer") instead (docs/AGENT-BEST-PRACTICES.md:284-290). Please rewrite this to a role reference.
| agent-pick; Aaron + formal-verification-expert nudge): | |
| agent-pick; human maintainer + formal-verification-expert nudge): |
Summary\n\nCreates docs/linguistic-seed/ directory + README.md skeleton. Establishes:\n- Why-this-exists (3 load-bearing uses)\n- Minimal-axiom approach (Tarski / Meredith / Robinson Q)\n- Per-term schema + prereq DAG\n- Growth discipline (backwards-chain)\n- 8 initial term candidates\n\nGap #2: pending → SKELETON LANDED. Full population multi-round follow-on.\n\nOtto (loop-agent PM hat) skeleton; Soraya (formal-verification-expert) owns Lean4 cadence.