MachineSex/results/llm_curriculum_v5_cull/README.md
Giorgio Gilestro 84124de143 Manuscript revision and pending experiment work, snapshot before restructuring
Clarity pass over the main text (36-item audit), Discussion rewrite and cut,
acknowledgements, Souly et al. as ref 62, lettered SI panels, model section
moved under Results; plus the untracked curriculum/society/compose/smol
configs, runners, figures, stats and tests that the SI already cites.

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Y64o8FKP7rCuXzC48pxpMm
2026-09-13 16:54:09 +01:00

3.2 KiB
Raw Permalink Blame History

llm_curriculum_v5_cull — differential reproduction in the six-generation population

Claim tested (manuscript revision 2026-09-12). In the six-generation population recombination bought speed but not level: the declinable-merge arm led early and finished level with never merging. The population had no differential reproduction (lineages were never culled), and the Discussion predicted that with it a merged lineage's early lead would be inherited by more descendants and turn into a level advantage. This run adds truncation selection: after every generation's measurement the lowest-scoring lineage (all-families accuracy) is re-founded from the highest-scoring one, keeping its own curriculum slot (cull: true; cull_step/inherit_slot in src/llm/curriculum.py; ties leave the population alone). Arms: isolated + culling and declinable society + culling, read against the existing isolated and veto arms. Latin square, Qwen2.5-1.5B, 3 training seeds (hpc/llm_cull.pbs, ~35 min per seed on one L40S). Figure curriculum_cull.png; numbers from figures/stats_llm_curriculum.py and the per-generation tables printed in the revision log.

Result — parity again; the prediction is not supported

  • Final best-lineage accuracy (all six families), mean of 3 seeds: never merge 0.796; declinable merge 0.792; never merge + culling 0.804; declinable merge + culling 0.793.
  • Contrasts (per seed; mean ± 95% CI): culled declinable culled never-merge 0.011, 0.014, 0.008 (0.011 ± 0.003, below in 3/3); culled declinable declinable +0.001 ± 0.007; culled never-merge never-merge +0.007 ± 0.030 (0.022, +0.028, +0.017).
  • The early lead survives, the level does not. Best lineage at generation 1: declinable 0.680 and culled declinable 0.679 against never-merge 0.601 and culled never-merge 0.638; by generation 5 all four sit at 0.780.80. Population mean: culling lifts the mean early (generation 1: 0.577 vs 0.477 for the never-merge arms) because the best genome is copied into the worst slot, but the final means converge too (0.7750.786).
  • Selection was active throughout: exactly one cull per generation in every arm and seed (no ties); the culled slot rotated among all three lineages. Declines in the culled declinable arm rose with generation as before (0.33 → 1.00).
  • Retention of taught families at generation 6: 0.780.79 in all four arms.

Reading. Under a curriculum that delivers every skill to every lineage, the ceiling is set by what one adapter can carry, and both sex and selection can only move a lineage toward that ceiling faster. Selection spreads the best genome; recombination assembles it earlier; neither raises it. The FisherMuller advantage in this population is a speed advantage, now shown with and without differential reproduction. Falsifier for the null (not triggered): culled declinable above culled never-merge in a majority of seeds by more than the seed-to-seed spread (~0.02). What would change the prediction is a curriculum in which skills are not guaranteed to every lineage (a lineage that never learns a family can only obtain it by merging), which is a different experiment.