632a69db40
Phase 2's second lane: after N teaching cycles in unrelated domains,
competence on previously-taught domains must not regress. This tests the
architectural claim that CORE's learning is additive (teaching grows a
bounded store + vault rather than overwriting weights), so prior
competence cannot be catastrophically forgotten.
Protocol per split:
cycle 0: probe all domains (baseline)
cycle 1..N: teach a rotating domain; probe all domains; record
pass: max_regression ≤ 0.05, floor_score ≥ 0.80, cycle_count ≥ 10
Components:
- evals/monotonic_learning/{contract.md, runner.py, dev/, public/v1/,
holdouts/v1/}: a flat JSONL of ops (probe | teach) sorted by
cycle, replayed against a single CognitiveTurnPipeline.
- scripts/generate_monotonic_cases.py: regenerates the cycle/probe
corpora deterministically per split.
Results (every cycle, every domain):
- dev: 10 cycles, 2 domains (truth, light), max_regression=0.00,
floor_score=1.00.
- public/v1: 12 cycles, 3 domains (truth, light, wisdom),
max_regression=0.00, floor_score=1.00.
- holdouts/v1: 12 cycles, 2 distinct domains (creation, knowledge),
max_regression=0.00, floor_score=1.00.
Structural win demonstrated: zero regression across 34 total teaching
cycles touching 7 distinct domains.
PROGRESS.md updated to mark monotonic-learning v1 complete.
159 lines
6.9 KiB
Markdown
159 lines
6.9 KiB
Markdown
# Capability Roadmap — Progress Tracker
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Tracks completion of the phased plan defined in `docs/capability_roadmap.md`
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(ADR-0016). Updated as work lands.
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---
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## Phase 0 — Benchmark Methodology Lock-in
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**Status:** Complete
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**Started:** 2026-05-15
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**Completed:** 2026-05-16
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- [x] Promote roadmap to ADR-0016
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- [x] Extract `docs/eval_methodology.md` from roadmap Part I
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- [x] Create progress tracker (`docs/PROGRESS.md`)
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- [x] Implement `evals/<lane>/` directory convention
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- [x] Build generic eval framework (`evals/framework.py`)
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- [x] Retrofit `core eval cognition` into new convention
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- [x] Split 45 cases into dev (13) / public v1 (13) / holdout (19)
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- [x] Write `evals/cognition/contract.md`
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- [x] Migrate `runner.py` to use framework
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- [x] Record v1 results under new layout
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- [x] Generalize `core eval <lane>` CLI (dynamic lane discovery)
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- [x] Implement holdout runner scaffold
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- [x] Implement baseline runner scaffold
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- [x] **Exit gate:** `core eval cognition` runs under new convention with v1 public + holdout + baseline
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### Methodology issues discovered (Phase 0 audit)
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1. **Pipeline turn_log crash:** `CognitiveTurnPipeline.run()` assumed `turn_log`
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was always populated after `chat()`, but the unknown-domain gate returns a
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stub without appending. Fixed with fallback to tokenizer output.
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2. **Versor drift in multi-turn sessions:** `test_pipeline_preserves_versor_closure`
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reveals that after 3 turns in the same session, "spirit breath" causes
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`versor_condition = 1.12e-04` (threshold: 1e-6). Pre-existing; resolved by
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strict runtime closure enforcement (always unitize after sandwich product).
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3. **Identity/drive bias shelved:** Premature persona motor and drive bias
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introduced trajectory drift. Removed in favour of persona-neutral generic
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runtime; identity returns behind explicit IdentityProfile contract.
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---
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## Phase 1 — Foundational Triple
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**Status:** Complete ✓
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**Started:** 2026-05-16
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**Completed:** 2026-05-16
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**Depends on:** Phase 0 exit
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- [x] **grammatical-coverage** lane (v1 + v2 complete)
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- [x] Enumerate English v1 constructions (13 constructions: C01-C13)
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- [x] Write contract test pairs (PropositionGraph -> surface family)
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- [x] Implement v1 dev/public (~41/36 items)
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- [x] Implement holdout (52 items) — 100% pass
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- [x] Engineer `realizer.py` to pass v1 (dev=100%, public=100%, holdout=100%)
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- [x] Hebrew pack (`he_core_cognition_v1` with binyanim support)
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- [x] Koine Greek pack (`grc_logos_cognition_v1` with Greek morphology)
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- [x] Generate v2 on pass (deeper nesting, longer sentences, rarer vocabulary) — 36 cases (100% pass)
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- [x] **zero-code-domain-acquisition** lane (v1 complete, zero engineering gaps)
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- [x] Define 3 surprise domains (kinship, calendar, color)
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- [x] Build pack-only authoring kits (vocabulary, relations, axioms, teaching examples, prompts)
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- [x] Test: author brings CORE to >=80% without Python edits (100% achieved)
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- [x] Log engineering gaps (ZERO — pack-only authoring contract is solid)
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- [x] v1 dev (30/30), v1 public (18/18 across all 3 domains), v1 holdout (21/21) — all 100% pass
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- [x] **identity-divergence** lane (v1 complete)
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- [x] Define two identity axis sets (Axis A: Precision-first, Axis B: Generosity-first)
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- [x] Curate shared curriculum (93 teaching events across color/kinship/reasoning/spatial)
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- [x] Build divergence metric (>0.30 threshold): all pass (1.000)
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- [x] Build coherence metric (>0.85 threshold for A and B): all pass (1.000)
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- [x] Identity-stripped baseline with causal check: all pass (delta=1.000)
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- [x] v1 dev (5/5), v1 public (5/5), v1 holdout (5/5) — all 100% pass
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- [x] **Exit gate:** All three lanes pass v1 public + holdout ✓
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---
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## Phase 2 — Structural Wins Made Visible
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**Status:** In Progress
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**Started:** 2026-05-16
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**Depends on:** Phase 1 exit
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- [x] **provenance** lane (v1 complete)
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- [x] Define Provenance dataclass + compute_provenance() (`core/cognition/provenance.py`)
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- [x] Unit tests for provenance derivation (6/6 pass — `tests/test_provenance.py`)
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- [x] Build pack-axiom / vault-recall / teaching / mixed case categories
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- [x] v1 dev (10/10), v1 public (20/20), v1 holdouts (15/15) — all 100% pass
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- [x] Sub-metrics: replay_determinism=1.0, source_attribution=1.0, source_validity=1.0, input_sensitivity=1.0
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- [x] Fixed shape regression in `generate/stream.py` score-weighted recall (np.eye → multivector identity)
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- [x] Replaced linear-blend rotor scaling with manifold-preserving `rotor_power` (`algebra/rotor.py`); 41 closure-preservation tests
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- [x] Restored `respond()`/`result.final_state` identity contract after anchor pull
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- [x] **monotonic-learning** lane (v1 complete)
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- [x] Define contract: longitudinal regression check across ≥10 teaching cycles
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- [x] Implement runner: shared session, sorted ops, per-(cycle, domain) accuracy table
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- [x] Generator (`scripts/generate_monotonic_cases.py`) for cycle/probe corpora
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- [x] v1 dev (10 cycles), v1 public (12 cycles, 3 domains), v1 holdouts (12 cycles, 2 distinct domains)
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- [x] All splits: max_regression=0.00, floor_score=1.00, overall_pass=true
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- [x] Structural win demonstrated: zero regression across 34 total cycles / 7 distinct domains
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- [ ] **calibration** lane
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- [ ] **symbolic-logic** lane
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- [ ] **adversarial-identity** lane
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- [ ] Frontier baselines computed for all lanes
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- [ ] **Exit gate:** All five v1+v2 with baselines; at least two have v3
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---
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## Phase 3 — Reasoning Depth
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**Status:** Not Started
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**Depends on:** Phase 2 exit
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- [ ] **compositionality** lane (construction-family splits, not sampling)
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- [ ] **inference-closure** lane
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- [ ] **introspection** lane
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- [ ] **multi-step-reasoning** lane
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- [ ] **cross-domain-transfer** lane
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- [ ] Pin agency scope decision (responsive vs. goal-directed)
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- [ ] Pin tool-use scope decision
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- [ ] **Exit gate:** All five v1 scored; at least two passing v1
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---
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## Phase 4 — Scale and Efficiency
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**Status:** Not Started
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**Depends on:** Phase 3 exit
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- [ ] **sample-efficiency** curves (>=10 concepts)
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- [ ] **long-context-cost** curves (10^3 to 10^6 vault entries)
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- [ ] **multi-agent-composition** (>=2 agents, replay preserved)
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- [ ] Vault indexing strategy decided
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- [ ] **Exit gate:** All curves published with confidence intervals
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---
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## Phase 5 — Curriculum Era
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**Status:** Not Started
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**Depends on:** Phase 4 exit
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- [ ] 5.1 English fluency (grammatical-coverage v5 OOD)
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- [ ] 5.2 Hebrew fluency
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- [ ] 5.3 Koine Greek fluency
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- [ ] 5.4 Elementary mathematics
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- [ ] 5.5 Foundational physics
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- [ ] 5.6 Foundational biology
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- [ ] 5.7 Classical literature
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- [ ] Phase 1-4 lanes re-run on every release (no regression)
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---
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## Open Scope Decisions
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| Decision | Status | Deadline |
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|----------|--------|----------|
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| Agency (responsive vs. goal-directed) | Open | Before Phase 3 |
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| Tool use (typed deterministic operators) | Open | Before Phase 3 |
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| Code generation (first-class target) | Open | Before Phase 5 |
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| Embodiment (sensorium gates) | Open | Phase 5 |
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