Adds a generation-side concept-space layer: explicit axiom cards, twelve T operators, diversity archives, quarantined failures, taste forecasts, reality bets and strategy genomes.
Philosophy
Innovation can change the unit of analysis, evaluation axis or assumptions, while promising failures can be retained as stepping stones.
Architecture & control flow
- 01
Extract axiom cards from a topic
- 02
Apply T operators to concept sketches and select for diversity
- 03
Select parents from elites, quarantine and a contrarian budget
- 04
Apply TG gates and record taste votes and pending reality bets
- 05
Persist archive lineage, evolution reports and human decision checkpoints
Architecture outline derived from this version’s control flow.
What this version changes
Makes assumptions and failed lineages persistable, operable search objects.
Inputs & outputs
- Inputs
A topic, axiom cards, historical archives and population budget.
- Outputs
Concept sketches, T-application cards, elite/quarantine archives, pending bets and evolution reports.
Implementation & evidence scope
Local candidates, taste probes and votes still contain templates and heuristics; the aggregate v6.2 verdict does not empirically validate each v6.3 semantic candidate. Designed self-improvement should not be presented as demonstrated capability.
Code & bundled material
The introduction draws on bundled notes, changelogs and central code. Software tests, synthetic diagnostics and scientific effectiveness use different evidence standards.
Source references
pyproject.toml· 1–5V6_3_GROTHENDIECK_DESIGN.md· 3–17harness/discovery_v63/pipeline_v63.py· 1–6harness/discovery_v63/pipeline_v63.py· 140–188harness/discovery_v63/concept_space/t_operator_registry.py· 18–30harness/discovery_v63/concept_space/rising_sea_generator.py· 40–57harness/discovery_v63/verifier_v63/grothendieck_gates.py· 27–81