BASELINE — RAW GRID (Run 3)
✗ 135a2760 texture match attempt → wrong shape
✗ 136b0064 spatial reasoning: none
✗ 13e47133 30×30 wall confirmed
✗ 142ca369 attention mechanism shattered
[ TOTAL COGNITIVE COLLAPSE — THE WALL ]
RUN 4 — OPTIC NERVE (Object Decomp)
≈ 007bbfb7 objs=2 cell=51.9% 20s ← CLOSE
≈ 009d5c81 objs=3 cell=83.7% 45s ← NEAR HIT
✗ 00d62c1b objs=15 cell=0.0% 113s (15 obj complexity)
✗ 00dbd492 timeout (model load)
[ 2 CLOSE calls · avg cell 31.5% · 3.5× baseline ]
| TASK | OBJECTS | CELL MATCH | STATUS | INFERENCE | NOTES |
|---|---|---|---|---|---|
| 00576224 | 2 | 22.2% | MISS | 10s | Partial spatial match · shape misread |
| 007bbfb7 | 2 | 51.9% | CLOSE | 20s | Rule partially identified · transform off-by-one |
| 009d5c81 | 3 | 83.7% | NEAR HIT | 45s | 3 objects → rule nearly synthesized · 3 cells wrong |
| 00d62c1b | 15 | 0.0% | WALL | 113s | 15 object tasks exceed synthesis window · known limit |
| 00dbd492 | — | — | TIMEOUT | >120s | Model load contention · retry needed |
[ HYPOTHESIS CONFIRMED ] :: OBJECTS > INTEGERS
The jump from 8.9% to 31.5% cell match used zero model changes.
Same qwen2.5:14b. Same hardware. Same temperature. Only the input changed.
The Optic Nerve is doing exactly what the Lean 4 proofs guarantee:
it collapses O(H×W) pixel space into O(|objects|) semantic space.
The model can reason about "translate red object 2 cells right"
where it cannot reason about 900 integers.
009d5c81 at 83.7% is the landmark: a 3-object task where the LLM
almost completed the transformation. The rule was perceived. The DSL synthesis was close.
The last mile is translate_object with formally verified bounds.
The wall is not model capability. The wall is representation.
Rick's Law holds in reverse: give it the right representation and the logic appears.
[ RUN 5 ] :: VERIFIED DSL HANDS
What changes between Run 4 and Run 5:
· translate_object — Lean-verified shift with bounds proof
· recolor_object — trivially monochrome by construction
· ExtractInv — COVER + DISJOINT → no ambiguous objects
· OVERSEER prompt v2 — outputs Lean DSL, not raw grid
Hypothesis for Run 5: 009d5c81-class tasks go from 83.7% → 100%.
DSL hands close the final 16% gap. The model synthesizes, Lean verifies, OVERSEER executes.