paper: claim-narrowing revision from the external review
The review's core instruments adopted: the interpretation/explanation/ prediction ladder is now explicit in §1 (with the decisive pre-merge epistasis-prediction test stated as the open bar, not claimed); identity claims scoped (WF exact only in the minimal model, with the learning-kernel deviation cited against ourselves; Muller's ratchet scoped to the irreversible arm — recombination reassembles only what survives); "nobody has / none imports / theory outrun" removed; merge-don't-average given explicit operator boundaries (output-mean vs weight-average vs routing vs max-with-oracle; budgets; oracle; capacity handoff to speciation); a "what these experiments do and do not establish" scope block added to the speciation section (conflict floor is information-theoretic, not genetic; epistasis-cliff + snowball = hypotheses at the neural tier; emergent DMIs = flagship hypothesis, bounded by our null); "control theory" -> "framework" (subtitle included); §3/§11 overstatements fixed (frozen core != frozen behaviour; Baldwin echo, not identity; operational vs archival irreversibility); claims-at-a-glance table (status/assumptions/evidence/limits) added to §13. Reviewer's framing sentence adopted as the stated core contribution. Accessible version calibrated to match. md2tex gains pipe- table support; PDF rebuilds clean (22 pp). Lessons recorded. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01BkRLcc18rwT2Lysu6PbG7v
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tasks/lessons.md
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**2026-08-11 — Stop padding time estimates.** GG: "You generally massively overestimate the time it
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takes to do some work... You're fast." Phase-1 items I scoped as "Week 1" took ~an hour. Rule: state
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what will be done and in what order; give a duration only when compute-bound (training walltime), and
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base it on measured runtimes, not human-project heuristics.
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**2026-08-11 — Correspondence is not identity; interpretation is not prediction (manuscript reviews).**
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The external review's core corrections, to internalise for all paper claims: (1) distinguish
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interpretation / explanation / prediction and claim only the level the evidence supports; (2) a
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minimal model being exactly Wright-Fisher does not make real training "literally" WF — our own
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learning-kernel result says otherwise (cite it against ourselves); (3) name the operator every claim
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is about (output-mean vs weight-average vs max-with-oracle vs routing are different objects with
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different budgets); (4) don't write "nobody has / none imports" — invite no priority disputes; say
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"to our knowledge" and state the positive contribution; (5) negative results (E13b) are strengths —
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lead with them; (6) "control theory" needs states/controls/dynamics/rule or it's a "framework".
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