assembly-economics/models/AdoptionBand.md
tegwick 1b0a28361e ASSEMBLY-WP-0009-T01/T02: adoption band B1-B4 and probe across it
- 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>

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2026-10-12 10:58:47 +02:00

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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.

  1. 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.
  2. 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.
  3. 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

  1. 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.
  2. 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).
  3. 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).