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X/G oscillation: hypothesis switches between weak core and strong scope.
9
P1 (construction+prediction+M2)
9.8+
19KB
3 dated predictions with likelihoods. First falsifiable.
10
P4 (frame collision+M2)
9.8
23KB
Info-theoretic vs sociological collision. 30% physics, 70% narrative.
11
INS2 (own research assumptions)
9.8+
—
Deepest self-analysis. Observer-dependency of conservation laws. 23 defects.
12
INS4 (scaling thesis assumptions)
9.8+
—
L8→L13 pipeline on reasoning. 16 defects. "Tautology about attention economics."
Reasoning Sub-Champions (9.5-9.8)
Variant
Score
Key Finding
CH1 (steelman-destroy)
9.5-9.8
Pre-empts straw-man defenses
CH5 (dialectical inversion)
9.5-9.8
Opposite conclusion from SAME evidence
INS6 (unfalsifiability)
9.5-9.8
Three unfalsifiable moves identified
INS9 (metric reification)
9.5-9.8
20KB, Goodhart's Law on 3 metrics
V1M3 (steelman+bifurcating)
9.8
Genuine bifurcation, meta-conservation about argument structure
R3 (stress fracture)
9.5-9.8
Damage-to-perturbation ratios (9.2, 9.5, 9.8)
W3 (multilaw predictive)
9.8
3/3 predictions confirmed
W4 (temporal archaeology)
9.8
Ptolemaic epicycles pattern
W5 (min viable claim)
9.8+
27:1 decoration ratio
3. Universal Champions (9.8+ on BOTH code AND reasoning)
Variant
Code Score
Reasoning Score
What Makes It Universal
N1 (V1+M2)
9.8+ (30KB, 5 laws on Starlette)
9.8+ (33KB, political economy)
Steelman + adversarial recursion. Best on both.
EXP53 (COOK_UNIVERSAL)
9.8 (Starlette, Click, Tenacity)
9.8 (scaling thesis)
Current default. Impossibility + depth.
V1 (steelman seed)
9.8 (Starlette), 9.8+ (Click, 38KB)
9.8+ (29KB)
Most validated cross-target.
4. Insight Extraction Champions
Method: cat insight_seed.md | python prism.py --solve --pipe -m {model} --isolateSeed: The Prism Paradox (~200w) — why we built Prism but failed to use it on ARC
Total runs: 28 (25 Haiku, 2 Sonnet, 3 Cooker Target). Rating: 6 dimensions × 10pts = 60 max.
Co-Champions (=1st, 56/60 = 9.3)
Run
Model
Words
Key Discovery
Unique Strength
4
Haiku
2872
Tertiary blindness
WIDEST TAXONOMY: 18+ defects across 6 organizational layers
23
Haiku
2159
S×B×D=const justifies mistakes after the fact
MOST RIGOROUS MATH: formalized law with frame-dependency analysis
Found law in noise BUT correctly identified text as empty
U3 (abstract reverse)
Reverse transfer
9.0
Transfer asymmetric: code→reasoning > reasoning→code
11. Research/Push Champions by Phase
Phase 16-17 (Push v4-v5)
Exp
Score
Size
Standout Finding
R1
9.8+
28.8KB
Antagonistic dialectic — two contradictory analyses
R2
9.8+
22.8KB
Entropy mapping — claim clustering
S2
9.5
40.2KB
LENS OVERRIDES INPUT — strongest "prompt is dominant variable" evidence
T1
9.8+
28.9KB
PIPE-D (abstract lens) enables cross-domain transfer
T2
9.8+
35.2KB
Cost asymmetry validated — unfalsifiability signature at ratio < 1
Phase 18-19 (Push v6-v7)
Exp
Score
Size
Standout Finding
T3
9.8+
37.1KB
Compress→antagonize composes
T4
9.8+
37.2KB
Philosophy target works at max quality
T5
9.8+
28.1KB
Self-insight impossibility triangle
U2
9.8
24.4KB
Specificity validated — all planted errors found
Phase 20-21 (Push v8-v9)
Exp
Score
Size
Standout Finding
W1
9.8+
24.4KB
Academic paper target works
W5
9.8+
27.4KB
27:1 decoration ratio
X1
9.8+
30.5KB
27:1 confirmed cross-target
X2
9.8+
30.5KB
Stakeholder divergence — NEW CHAMPION OBJECT
X5
9.8+
39.8KB
Sonnet cook +100% output
Phase 22-23 (Push v10-v11)
Exp
Score
Size
Standout Finding
Y2
9.8+
27.2KB
Opus cook — defect PRICING
Z1
9.8+
33KB
Metaphor excavation — genuinely orthogonal
Z4
9.8+
35KB
Steelman+entropy = STRONGEST COMBO
Z7
9.8+
23KB
Business plan at champion quality
Z8
9.8+
54KB
ALL-TIME LARGEST
Phase 24-25 (Push v12-v13)
Exp
Score
Size
Standout Finding
AA2
9.8+
26KB
Math proof — most technically rigorous
AA5
9.8+
41KB
Temporal method — hidden conservation law dimensions
AA7
9.8+
25KB
9 laws from 3 counterfactual worlds
AA8
9.8+
22KB
Conservation law TESTED as predictive (4/7 confirmed)
BB2/BB3
9.5-9.8
10-12KB
51w lens = full L12 quality
12. Meta-Insight Champions (Insights About Insights)
Method: Feed champion insight outputs back through prism.py --solve --pipe -m haiku --isolateFinding: Recursive insight extraction works — but only when input is NOT already a completed Prism-style analysis.
Run
Source Input
Words
Score
Key Meta-Finding
meta_run22
Run 22 (9.0)
3886
9.5+
Active suppression masked as passive invisibility. Identity Investment × Framework Adoption = K. Impossibility is constructed by architecture, not physics.
meta_run23
Run 23 (9.3)
1672
9.5
Retrospective Clarity × Temporal Proximity = constant. Framework is perfect diagnostic but cannot navigate in real-time.
meta_run17
Run 17 (8.7)
1874
9.5
Visibility Failure vs Relevance Failure conflated. Law correct in prescription, wrong in mechanism.
meta_run19
Run 19 (8.7)
1581
8.5-9.0
Crisis doesn't create constraints, reveals invisible choices never consciously made.
meta_run4
Run 4 (9.3)
719
6.5
Conversation mode. "FIXABLE column is STRUCTURAL in disguise."
Meta-Insight Methodology Findings
Most structured champions FAIL as meta-inputs — Runs 4, 23 (the 9.3 co-champions) triggered conversation mode when fed back. Haiku treats "completed analysis" as something to summarize, not structurally analyze.
Less-structured elite tier produces BETTER meta-insights — Runs 17, 19, 22 (8.5-9.0) fed back to produce 9.5+ meta-outputs. Less self-contained = more analyzable.
CLI without cooker = ~7.0 ceiling — Raw L12 steps on Claude CLI produce competent but generic step-following.
Three genuinely new structural findings from recursion:
Active suppression vs passive invisibility (identity threat, not forgetting)
Diagnosis vs navigation (framework explains perfectly, can't help escape in real-time)
Visibility vs relevance conflation (law might diagnose bias when it's actually correct filtering)
13. The Foundation: 98 Proven Principles
Top 10 most important (full list in memory/cooker_experiments.md):
Prompt is dominant variable. Haiku+L12 (9.8) beats Opus vanilla (7.3). 50x cheaper.
Change the OBJECT, not the METHOD. Object layer determines ceiling. Method clusters at 9.5.
98 principles, all solve rankings, full experiment log
memory/project_goals.md
Goals, design principles, use cases to explore
test_plan_pipeline.py
30 tests for prism.py
15. Insight Improvement Tests
Goal: Push Haiku insight champion rate from 40% to 60%+ via better cooking strategies.
FAILED: Abstract Intents Override Input (IO-1 through IO-5, IB-1)
Method: python prism.py --solve "abstract intent" --pipe -m haiku --isolate < seed.mdResult: All 6 FAILED. Avg 4.0/10 vs original champion avg 9.3/10.
Test
Intent
Words
Score
Failure Mode
IO-1
impossibility (EXP53)
488
4.3
Analyzed generic S/U/P triad, ignored seed
IO-2
steelman (V1)
249
2.0
Conversation mode — asked for subject
IO-3
multilaw (P2)
1362
5.5
Reinvented CAP theorem, ignored seed
IO-4
antagonistic (R1)
2780
6.2
Best of batch — but analyzed AI employment, not seed
IO-5
compression (Q2/W5)
280
4.2
Compressed own instructions, not seed
IB-1
construction (L8)
204
2.0
Conversation mode — asked for details
Root cause: S2 — LENS OVERRIDES INPUT. Abstract intents cause the cooker to generate lenses about the intent's topic, not about the piped input. The model follows the lens and ignores the seed.
Principle 99: Abstract intents cause S2 on piped reasoning content. Input-driven cooking (no intent) is mandatory for insight extraction. Champion object layers work on code (where intent maps to file content) but catastrophically fail on piped reasoning.
COMPLETED: Corrected Approaches (IT-1 through IT-5)
Test
Method
Words
Score
Key Finding
IT-1
Default --solve --pipe (no intent)
535
4.5
Non-champion run — practical advice, no structure. Expected at 60% Haiku failure rate.
IT-2
--solve --pipe full (4-pass pipeline)
2758
7.8
Best self-diagnosis: "tautology wearing diagnostic coat." Refused to deepen. 4 unfalsifiable assumptions found. Weak formal structure.
"Silent competence" framing — non-use as correct filtering. Good angle but too short.
The B3 Hand-Crafted Lens (180w, no cooking overhead)
Combines 6 champion object layers (impossibility+steelman+construction+reflexive+harvest+prediction) in one flowing prompt. Skips the cook step entirely — saves one API call. Scored 9.2 on first test, competitive with 9.3 co-champions.
The text below describes a failure and what was learned from it. You are a structural analyst who finds what analysis conceals.
Execute every step below. Output the complete analysis.
First: name the three properties the author simultaneously claims their framework, tool, or methodology possesses. Prove these three properties CANNOT all coexist. Identify which was actually sacrificed. Name the conservation law: A × B = constant.
Then: steelman the author's strongest claim into its most defensible form. Now stress-test: what specific, concrete evidence would falsify this steelmanned version? Find the failed escape attempts.
Now: engineer the simplest improvement that would fix the core failure described. Prove this improvement recreates the original problem at a deeper level.
Apply the diagnostic to your own conservation law. What does YOUR analysis conceal? Name the meta-conservation law.
Finally harvest: every defect (location, severity, structural vs fixable), every hidden assumption, every prediction. For each prediction: what would confirm it, what would refute it, and what is your confidence?
Reproducibility test running: 5 copies on VPS + 3 baseline controls.
Key Insights from IT Tests
The cooker IS always involved in --solve. Original champions worked because default intent lets cooker derive direction FROM input. Custom intents hijack that.
Hand-crafted lens (IT4) matches cooker quality at 9.2 — proves the lens is the dominant variable, not the cooking process.
Full pipeline on reasoning (IT2) produces excellent self-diagnosis but weaker formal structure. Different character from code pipeline.
Enhanced seed doesn't help (IT5) — more input ≠ better output. The lens, not the input richness, drives quality.
prism.py works on VPS — uses CLI subprocess, not Anthropic SDK. Full cooker pipeline runs at champion quality.
VPS Confirmed Working
prism.py uses Claude CLI (claude -p) as backend, NOT the Anthropic Python SDK
User's subscription authenticates through CLI — API key irrelevant
Full cooker pipeline runs on VPS at champion quality