Giorgio Gilestro
9b0ca32f51
E11 re-instantiated in a population of LoRA agents, closing the paper's stated gap before submission (GG: a weeks-scale experiment a reviewer would demand). One grounding knob in the evaluation channel (g*verifier + (1-g)*conformity, exactly E11); inheritance is identical in all arms and deliberately ungrounded (children distilled from their source's own answers - self-consumption made literal). Directed sex = complementary pairing + Dirichlet offspring screened on the arm's own signal (the verifier never enters the no_grounding loop); QD selection on verifier-free behavioural distance; terminal-degeneration fallback copies the parent instead of crashing a sweep. Pure operators unit-tested (155 green); smoke run end-to-end on the local A4000 already shows the self-consumption signature (conformity up, diversity down in one generation). Design, falsifiers, cost table: tasks/workorder-llm-society.md. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01BkRLcc18rwT2Lysu6PbG7v
39 lines
3.1 KiB
Markdown
39 lines
3.1 KiB
Markdown
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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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**2026-08-11 — tmux does NOT survive SSH disconnects on this machine.** The tmux server starts inside
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the SSH session's systemd scope and gets reaped on logout (lost ~20 min of the epistasis grid; GG:
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"SSH disconnected"). Reliable pattern here: `systemd-run --user --collect --unit=<name>
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--working-directory="$PWD" bash -c '<cmd>'` — lands in user@.service (kept alive by the desktop
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session), survives disconnects; check with `systemctl --user is-active <name>`, logs via redirect.
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**2026-08-11 — Internal deliberations must not leak into reader-facing prose.** GG (on the
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convergence paragraph): it "carries all the ghosts of our internal brainstorming that should be
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completely alien to the readers (this is, alas, a recurring problem with your writing)." The pattern:
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strategic concerns from the working process (priority anxieties -> "we cite for priority of
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publication"; calibration debates -> "the honest statement"; positioning battles -> "nobody has")
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surface as defensive or self-referential prose. Rule: before finalising any reader-facing passage,
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ask "does understanding this sentence require knowing how we worked?" If yes, rewrite it as a plain
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statement about the literature or the result. Confident papers situate; they do not litigate.
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(Promoted to a general rule in the global ~/.claude/CLAUDE.md, 2026-08-11 — it applies to all
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reader-facing prose in every project.)
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## Terminology: "model" is overloaded in this project (2026-09-07)
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In the PNAS manuscript and figures, "model" must mean an AI model. The theory tier is
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"population genetics" / "the Wright–Fisher simulator" / "the minimal inheritance model"
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(with the disambiguating adjective), never a bare "model" label — GG flagged Fig. 1's
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"Exact model" header as confusing for exactly this reason. When naming tiers, panels, or
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headers, reserve the bare word for trained AI systems.
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