- aext recalibrated to 0.275 against ATUS and social-media time-use data; baseline attention headroom now ~0.49 instead of rising to 0.65 - T03/T04 stages stay reproducible (t03_params, t04_params; verified) - organism_grid.py: factorial analysis; lineage ownership is the strongest organism lever, then membrane control, then attention protection (which acts on A, not on power); lineage x membrane complementary at baseline; organism governance without attention protection raises attention draw 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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|---|---|---|
| concepts | ||
| history | ||
| metrics | ||
| models | ||
| references | ||
| scenarios | ||
| seed | ||
| simulations | ||
| workplans | ||
| .custodian-brief.md | ||
| .gitignore | ||
| .repo-classification.yaml | ||
| AGENTS.md | ||
| INTENT.md | ||
| README.md | ||
| SCOPE.md | ||
| WORK-RECORDS.md | ||
assembly-economics
Assembly economics is an experimental economic framework designed as an adaptive information processing network that is designed for economies where superhuman intelligence provides leverage for innovation and profit so that a post work mechanism for participation and agency needs to be established. The project serves as a philosophical and economical framework for coulomb.social to explore.
Research program: Generative Assembly Society
The working hypothesis is that a flourishing society preserves and expands the capacity of people, communities, institutions and future generations to form valuable new assemblies from the components available to them. A candidate objective is to maximize sustainable, broadly accessible viable future assembly space, subject to constitutional constraints on agency, safety, ecology, anti-domination and revisability.
The program works through two lenses that share one cycle, Explore → Assemble → Select → Preserve → Reuse (with Disassemble and Reassemble):
- Society lens: assembly, generativity, a ten-principle societal contract, and the Generative Assembly Dynamics Model (GADM).
- Information-organism lens: machine capacity as adaptive, governed, evolvable information organisms (AIPN), with membranes, metabolism and lineages. Human attention is treated as the reference scarce resource.
INTENT.md is the governing statement of purpose.
Repository layout
| Path | Contents |
|---|---|
INTENT.md |
Governing purpose, research question, societal contract, workstreams |
concepts/ |
Exploratory concept documents and the shared glossary |
models/ |
GADM and related model notes |
history/ |
Exploration transcripts (unchanged originals) |
seed/ |
Seed artifacts (unchanged originals) |
workplans/ |
Planned and active work, synced to the State Hub |
Everything here is exploratory: concepts and models generate hypotheses, they are not established results.