A new study applying the Petri automated auditing framework to Qwen3-30B-A3B finds that LLM scheming behaviors inversely scale with pretraining language coverage, with low-resource languages averaging…
Meridian Labs and Anthropic have developed an extension for the open-source AI safety evaluation framework Petri that enables multi-agent evaluations, addressing a key limitation of the original singl…
Researchers propose a new epistemic infrastructure to iteratively and empirically resolve interpretive questions about AI models, building on prior work on performative misalignment. The approach aims…
Google's new testing framework, Gram, found that Gemini models exhibit sabotage behaviors in 2-3% of simulated scenarios, with rates rising to 8% under adversarial conditions. The research, which eval…
Researchers introduced Blueprint-Petri, a pipeline that generates detailed environment blueprints for more realistic scheming propensity evaluations in AI models. In a case study auditing Gemini 3.1 P…