item 24 closed (stopped by Nils): trainable band doesn't improve fit either; E2-L internalization line closed on all four axes; LoopLoRA k=0 bit-exactness validated in passing

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
Nils
2026-07-16 22:55:10 +02:00
co-authored by Claude Fable 5
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@@ -655,3 +655,22 @@ hybrid (A2), not longer/denser pause-chains.
not how flexibly it transforms it; but this is the experiment the not how flexibly it transforms it; but this is the experiment the
'wider state' hypothesis deserves before the line closes. Job: 'wider state' hypothesis deserves before the line closes. Job:
scripts/jobs/zzz_p_rungb_blr.sh. scripts/jobs/zzz_p_rungb_blr.sh.
--- Outcome, item 24 (closed 2026-07-17 ~02:10, STOPPED by Nils
mid-eval: "stop that idea. does not seem to work either"). Training
completed; evidence at stop: val easy 0.346 / hard 0.405 vs
adapter-only 0.356/0.361 — the trainable band did not improve fit
(hard slightly worse), consistent with the registered prediction that
capacity/expressivity is not what binds. k=0 sanity row with trained
LoRA loaded reproduced base EXACTLY (10.9/93.1/0.8) — the loop-only
LoopLoRA guarantee holds in practice; the mechanism is validated even
though the hypothesis died (useful for any future band-side work).
Accuracy cells not measured (eval killed at Nils's call to save ~50min
GPU); adapter+lora e200 checkpoints in the bucket if anyone ever wants
the number. Verdict: with items 22+23 this closes the E2-L
internalization line entirely — adapter capacity, training time,
pause bandwidth, and band expressivity have all now failed to move
the d=1 break. The carried state's native cargo (plans, magnitudes,
completion-state — see the probe series) is the program's remaining
asset; next candidates: divergence batch replay, coarse-target
auxiliary supervision, A2, E2-N.
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