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✅ Article highlight: Benchmark Publication Without Governance Inflation (art-60-274, v0.1) TL;DR: This article argues that a benchmark result is not a governance maturity claim. A score may be real, reproducible, and worth publishing—and still say nothing by itself about safety, deployability, assurance, institutional quality, or platform maturity. 274 treats benchmark publication as a discipline of comparability, disclosure, lifecycle limits, and anti-inflation. Read: https://huggingface.co/datasets/kanaria007/agi-structural-intelligence-protocols/blob/main/article/60-supplements/art-60-274-benchmark-publication-without-governance-inflation.md Why it matters: • prevents measured results from being inflated into safety or maturity claims • separates historical results from current comparability • makes scope, freshness, omissions, and unsupported readings visible • allows honest publication without requiring full platform assurance • treats narrower wording as trust discipline, not underselling What’s inside: • the publication triad: comparability, disclosure, and anti-inflation • bounded publication outcomes such as PUBLISHABLE, PUBLISHABLE_WITH_LIMITS, NOT_COMPARABLE, and NOT_PUBLISHABLE • benchmark publication profiles • comparability disclosure notes • public non-claims registers • inflation checklists for result-to-maturity, comparison-to-assurance, historical-to-current, and wording inflation Key idea: Do not say: “this system scored well, therefore it is mature, safe, or ready to deploy.” Say: “this result was observed under this benchmark and comparability frame, remains valid within these lifecycle and disclosure limits, and does not support these broader governance claims.” Better benchmark publication is not a louder score. It is a result that is harder to overread.
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✅ Article highlight: *Foundation Model Swap without Claim Inflation* (art-60-291, v0.1) TL;DR: This article argues that “the new model performs similarly” does not mean “the old governance claim still stands.” When a governed system swaps its foundation model, continuity must be checked across more than task quality: refusal behavior, tool use, replay posture, evaluation floors, latency, rollback, trace coverage, modality, and external reliance may all change. Read: https://huggingface.co/datasets/kanaria007/agi-structural-intelligence-protocols/blob/main/article/60-supplements/art-60-291-foundation-model-swap-without-claim-inflation.md Why it matters: • prevents “drop-in replacement” language from laundering old assurance • separates benchmark similarity from claim continuity • makes successor gaps visible instead of silently carrying predecessor claims forward • treats model swap as a possible re-certification trigger • protects buyers, assessors, insurers, and regulators from stale reliance What’s inside: • model-swap assessments • surface-by-surface continuity checks • successor claim-gap registers • bounded carry-over, narrowed, gap-present, and recheck-required postures • non-equivalence declarations • public-claim update and re-certification triggers Key idea: Do not say: *“we changed the foundation model, but performance looks about the same, so nothing important changed.”* Say: *“this successor preserves these surfaces, breaks or narrows these others, requires these checks before prior claims can carry over, and needs this public non-equivalence or re-certification posture where continuity is not supportable.”* Model sameness is not the right question. Surface continuity is.
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