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Fig. 1: colour-separate theory from AI tiers; explain every empty cell

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Category separation per GG: population genetics stays blue, both AI tiers move
to shades of orange, with a wider gutter between the theory column and the AI
pair. The grounding x LLM cell is upgraded from "not tested" to "established
at LLM scale in prior work (21, 30); not re-run here" (Shumailov's Nature
collapse result; Gerstgrasser's real-data rescue) - it was never a gap, it was
already settled. The caption now states the fill principle: each claim is
tested at the cheapest tier that can falsify it; a costlier tier is entered
only where it adds a discriminating test, and the LLM society is the one
genuinely open cell.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01BkRLcc18rwT2Lysu6PbG7v
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Giorgio Gilestro 2026-09-07 11:35:59 +01:00
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14
paper/pnas/build.py
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@ -28,10 +28,16 @@ FIGURES: dict[str, tuple[list[str], str]] = {
"trained neural networks measured against exact oracles (recurrent, feedforward, and "
"variational-autoencoder generators on a synthetic mode universe, and a convolutional VAE on "
"MNIST), and language models (LoRA specialists on Qwen bases at 0.5B and 7B, scored by an "
"exact-match verifier). The same population-genetic abstractions are carried across the "
"three tiers. Rows are the framework's mechanisms, each defined at the left margin; filled "
"cells name the experiments run at each tier; dashed cells were not tested, and the composed "
"society at language-model scale is the paper's stated gap."),
"exact-match verifier). Colour separates the two categories: the population-genetic theory "
"tier in blue, the two AI-model tiers in oranges. The same abstractions are carried across "
"all three. Rows are the framework's mechanisms, each defined at the left margin; filled "
"cells name the experiments run at each tier. Each claim is tested at the cheapest tier that "
"can falsify it, and a costlier tier is entered only where it adds a discriminating test "
"rather than a replication: grounding at language-model scale is established in prior work "
"(21, 30) and is not re-run; epistasis and the society skip the middle tier, whose "
"distinctive value (exact oracles) does not bear on those operator-level questions; and the "
"society at language-model scale is the integrative experiment this paper specifies but does "
"not run --- its stated gap."),
"fig2": (["paper/pnas/figs/fig2.pdf"],
"Grounding is immigration. (A) Stationary diversity against the grounding fraction in the "
"minimal inheritance model: simulation (points, 95\\% CI) matches the exact immigration--drift "