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narrative revision: substantiated premise, continual-learning positioning, convergence framing

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Per GG's directive: (1) the model-societies premise is no longer asserted
— the Introduction opens with the verified evidence base (3M-model
ecosystem with phylogenetic lineage-mapping literature, >98%-synthetic
alignment pipelines, machine-generated web share, the human-data
ceiling, mainstream merging tooling, agent economies; refs 31-44, all
identifiers verified by the literature scan). (2) The findings are
contextualised in CONTINUAL LEARNING, where they land hardest: a new
Introduction block maps the CL canon onto the operators — replay <->
grounding, with the field's measured replay fractions (1%/5%/25%)
sitting on our theorized g*~0.05; pseudo-rehearsal/generative replay as
precisely our ungrounded null; parameter isolation; CLS consolidation;
merging-for-CL vs cross-lineage recombination; tail-first forgetting <->
tail-allele extinction; CF-vs-collapse mechanism distinction kept
explicit — plus a Discussion block with five CL impact points (replay-
ratio theory testable against published sweeps; a failure theory for
generative replay; pre-merge interference prediction with a mechanism; a
consolidate-vs-modular decision rule; tail monitoring, engaging the
latent-vs-extinct objection). The scan verified the bridge is open: no
prior work carries pop-gen formalism into CL. (3) Downplaying replaced
by convergence framing: the diagnosis was reached independently and is
corroborated by parallel arrivals (Riis; Benati; Yoon; and Crutchfield &
Whalen 2012, pre-deep-learning) — cited for priority of publication, the
full arc owned as one framework. References 30 -> 65; Significance
carries the CL frame; 20-pp rebuild; 151 tests green.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01BkRLcc18rwT2Lysu6PbG7v
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Giorgio Gilestro 2026-09-06 20:15:40 +01:00
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10
paper/the-evolution-of-sex-for-ai.md
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@ -64,10 +64,12 @@ across generations instead of decaying. The underlying shift of perspective is t
most want to land: **treat multigenerational model populations as systems whose inheritance,
diversity, and compatibility must be managed — not merely as collections of models to optimise.**
We take one diagnosis as settled and cite it as such: training each generation on the last is
**genetic drift**, and the resulting **model collapse** is the loss of rare variants a finite
population always suffers (the Wright–Fisher process; formalised for language models by Shumailov et
al., 2024, and Riis, 2026). We claim none of that. Our contribution is on the remedy side. Single-
One diagnosis anchors the frame: training each generation on the last is **genetic drift**, and the
resulting **model collapse** is the loss of rare variants a finite population always suffers (the
Wright–Fisher process). We reached that account independently; it has also been formalised in
parallel by others (Shumailov et al., 2024; Riis, 2026), whom we cite for priority of publication —
a convergence we read as corroboration of the frame. This paper is about the structure the diagnosis
opens: the remedy side and its limits. Single-
teacher copying is **asexual** reproduction, and the irreversible arm of its decay corresponds to
**Muller's ratchet** (a correspondence we state with its scope, not as identity); the remedy biology
found for the ratchet is **sex**. A society of models should reproduce sexually — each new model