fig. 2.15.3: fourteen decks scored by the generator’s own model and by a blind cross-model audit of the same cards
Every deck is the gate-clean cards of one pipeline run on the held-out contracts, scored on every criterion by the open-weight 35B that also generates, then read blind, source hidden, by the project’s Claude agent, a different model family: the cross-model audit, sentence-level. The gap is judge minus audit, in percentage points; the one negative gap is the presence-penalty deck.
source: minimodels DIARY.md:2715-2718, 2949-2952, 3185-3188, 3319, 3353, 3432, 3485-3488, 3547, 3607, 3713, 3767, 3901-3903, 4038-4043 · judgeBias.data.ts
View in context: How a student model gamed its verifier → · All figures
Andrew Fribush, software and computer engineer in Austin. I build consequential systems where software meets institutions: finance, healthcare, commerce, government data, and the mechanisms that govern AI agents. Taking new engagements: hello@andrewfribush.com.