humans& released the Ampersand v0.1 model card: WMDP cybersecurity question accuracy up 8.4 points, prompt injection success rate higher than frontier models
AI summary
humans& released the Ampersand v0.1 model card; the collaborative model is trained based on GLM 5.3 and provided through the Agents API. Safety evaluation shows that WMDP cybersecurity question accuracy rose from 80.6% to 89.0%, an increase of 8.4 percentage points, while biology and chemistry questions were essentially flat; prompt injection success rate was similar to GLM 5.3 but clearly higher than frontier models, the harmful request attack risk score dropped from 21.4 to 13.8, and the sycophantic dialogue proportion dropped from 77.3% to 62.6%.
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