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paper: response to the external review + the last outstanding fix

Browse source 
paper/response-to-review.md: point-by-point response covering the
claim-narrowing revision (interpretation/explanation/prediction ladder,
drift/ratchet scoping, merge-operator boundaries, speciation scope
block, the claims table, control-theory->framework, the three supporting
overstatements) and the new experiments run in answer to the review —
full-symmetry alignment, the pre-registered emergent null, LLM-tier
speciation, multi-seed replication, and the decisive epistasis-predicts
experiment with its control axis and its honestly-failed internal
prediction. Two mild push-backs stated; open items listed; invites
another iteration.

Also fixes the one §4 review point not yet addressed in the text: §11's
"unbounded growth of capability" close is rewritten — the architecture
removes the STORAGE obstacle to indefinite accumulation; that is
bookkeeping, not a demonstration of unbounded capability growth.

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 17:31:36 +01:00
parent 287d2326cc
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paper/the-evolution-of-sex-for-ai.md
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@ -667,9 +667,13 @@ Three honest riders, because re-minting is the most consequential step in the sc
radiation*, and it is exactly what open weights make possible. The society grows not as one heavy
trunk but as a branching tree of bases.
So the answer to "can it grow forever?" is **yes — but only because it forgets and consolidates at
every level, including the base.** Nothing is retained without bound anywhere; unbounded growth of
*capability* is bought by *bounded* storage plus periodic consolidation.
So the honest answer to "can it grow forever?" is: **the architecture removes the *storage* obstacle
to indefinite accumulation** — nothing is retained without bound anywhere, and consolidation resets
the soft budget each epoch — but that is a statement about bookkeeping, not a demonstration of
unbounded capability growth, which no fixed-capacity system can promise and our finite models
(deliberately scoped as "effectively open-ended relative to the sample size, not astronomically
open-ended") do not test. What the design claims is the weaker, defensible thing: at no level does a
full store force the lineage to stop learning.
## 12. One process, four timescales