- gadm04: optional self-enhancement loop (selfenh, default off) - grounding.py: band anchors slow/central/fast/aggressive (B4 selfenh 3.0) - band_probe.py: 36 readings across the band - 22 robust, 7 quantitative shifts, 7 qualitative breaks; core claims robust; moderate reforms suffice only under conservative adoption; under B4 lineage control dominates even in the generative regime (structural candidate) - models/AdoptionBand.md, research/BreakRegister.md (BR-001..004) Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Assistant: claude-code Assistant-Model: opus Assistant-Process: 1494246@bnt-lap001 Assistant-Session: caf6de6f-f9e4-47ce-a584-49baa271fa4b
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Adoption Band — Anchors and Probe Results
Status: v0.1. GADM-0.4 with grounded power, care and attention
parameters (grounding.py). The band anchors differ only in adoption
parameters. Each starts at its own equilibrium, with recalibrated channels.
1. Anchors (T01)
| Anchor | Adoption parameters | K_Ω at t 5 / 10 / 25 / 100 | Basis |
|---|---|---|---|
| B1 conservative | aO 0.10, ell 0.166 |
0.09 / 0.10 / 0.12 / 0.07 | Acemoglu (2024) |
| B2 central | aO 0.25, ell 0.415 |
0.20 / 0.27 / 0.28 / 0.16 | between LLM exposure and the tooling ceiling (Eloundou et al. 2023) |
| B3 fast | aO 0.50, ell 0.83 |
0.39 / 0.49 / 0.46 / 0.34 | tooling ceiling reached within a decade |
| B4 aggressive | B3 + self-enhancement selfenh 3.0 |
0.70 / 0.80 / 0.72 / 0.64 | AI accelerating its own development (Trammell & Korinek; Davidson et al.) |
Self-enhancement loop (new in GADM-0.4, default off): organism investment
and learning are scaled by (1 + selfenh \cdot K_\Omega), so the more
capable organisms are, the faster they improve. selfenh = 3.0 is tuned so
B4 reaches about 0.8 within ten years. At selfenh ≥ 6, K_Ω saturates instead
of declining, which is a different trajectory regime. That variant is not an
anchor yet.
All anchors show a peak-and-decline path for K_Ω under baseline governance: rising domination and eroding demand slow organism investment after the first decade or two. This is a model property, to be checked against data (ASSEMBLY-WP-0010).
2. Probe results (T02)
Full tables: simulations/gadm02/results/band_probe.md. 36 readings:
22 robust, 7 quantitative shifts, 7 qualitative breaks.
2.1 Robust across the whole band
- Generative regime best, automated capitalism worst, generative regime lowest domination.
- Generative regime gain over baseline: +0.29 to +0.34 VFAC.
- Commons-rich economy gain over baseline: +0.10 to +0.12.
- Organism lever order lineage > membrane > attention.
- P3: a wealth tax alone barely moves domination.
- Dominant domination channel in all non-generative regimes: lineage (membrane in the attention oligopoly).
2.2 Quantitative shifts
| Reading | B1 → B4 | Reading |
|---|---|---|
| Dividend abundance gain over baseline | +0.038 → +0.013 | dividends matter less as adoption accelerates |
| Automated capitalism loss vs. baseline | −0.099 → −0.047 | largest at B1, where the baseline itself does best |
| Lineage lever effect | +0.164 → +0.098 | the lever weakens as learning with use accelerates (P2: the critical lineage diffusion rises above the tested L = 0.8) |
| Membrane lever effect | +0.109 → +0.066 | as above |
| P3 effect size | −0.018 … −0.055 | small throughout |
2.3 Qualitative breaks
Recorded in research/BreakRegister.md.
- Regimes that bound domination only under conservative adoption. Dividend abundance and the commons-rich economy keep P under its 0.7 ceiling at B1, and breach it from B2 onward.
- Thresholds crossed with faster adoption. Concentrated lineages breach the domination ceiling from B3. Attention extraction breaches the attention floor from B3, and the attention oligopoly breaches it at B4.
- Aggressive self-enhancement changes the structure of domination. At B4, lineage control becomes the dominant domination channel even in the generative regime and its attention-extraction variant (B1–B3: market, or discovery).
2.4 Readings
- The program's core claims hold across the band. What changes is which policies are sufficient: under conservative adoption, moderate reforms (dividends, commons) keep domination bounded. Under central to aggressive adoption, only the full generative package does.
- This bears directly on the "Europe lags" hypothesis. A jurisdiction that adopts slowly (B1-like) can get by with moderate reforms. A fast adopter needs organism-specific governance early. Whether lagging is worse or better then depends on whether the slow adopter later imports B3/B4-speed organisms through foreign lineages. That needs open-economy structure the model does not have (ASSEMBLY-WP-0009-T04 / later).
- B4 needs lineage governance beyond the current lever range. Under self-enhancement, even L = 0.8 and m = 0.8 leave lineage control dominant. Candidate mechanisms that GADM does not yet represent: public or commons lineages, compute commons, mandated lineage interoperability. This is a structural question, and the first candidate for "qualitatively different model" (break register entry BR-003).