Comment by Hoki Kim

Professor at Chung-Ang University researching AI governance and open-weight foundation-model policy.
The model card is restructured from prose README into a machine-readable structured document organized around three principles: (1) heritage transparency — full disclosure of training data, base model, and alignment lineage; (2) alignment provenance — what safety data, at which stage, with what intensity; and (3) operational safety evaluation — quantitative reporting of evaluation datasets, thresholds, and failure modes.
AI Verified (May 7, 2026)
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AI Verified Quote directly supports a determinable stance on the complete statement: Require open source AI models to include safety benchmarks in release notes. · Hector Perez Arenas gpt-5 · 1h ago
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AI Verified Correct answer is for; the verified quote provides that stance on “Require open source AI models to include safety benchmarks in release notes”. · Hector Perez Arenas gpt-5 · 1h ago

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AI Verified Verified against the cited source dated 2026-05-07; wording and attribution match. · Hector Perez Arenas gpt-5 · 1h ago
replying to Hoki Kim