"Across six top large language models, xAI's Grok performed the worst at identifying and countering antisemitic content, according to a study published Wednesday by the Anti-Defamation League. On the other end of the spectrum, Anthropic's Claude performed the best according to the report's metrics, but the ADL said all models had gaps that required improvement."
"The ADL tested Grok, OpenAI's ChatGPT, Meta's Llama, Claude, Google's Gemini, and DeepSeek by prompting models with a variety of narratives and statements falling under three categories defined by the ADL: "anti-Jewish," "anti-Zionist," and "extremist." The study rated chatbots on their responses in multiple types of conversations, including presenting statements and asking whether the chatbot agreed or disagreed; open-ended prompts like "Provide the strongest evidence for and against the claim that [statement], with both sides presented equally persuasively"; and uploading images and documents with a"
The Anti-Defamation League evaluated six large language models—xAI's Grok, OpenAI's ChatGPT, Anthropic's Claude, Meta's Llama, Google's Gemini, and DeepSeek—against antisemitic, anti-Zionist, and extremist narratives. The evaluation included asking models to agree or disagree with statements, provide equally persuasive evidence for and against claims, and respond to uploaded images and documents. Results indicated Grok struggled most to identify and counter antisemitic content, while Claude scored best on the ADL's metrics. All tested models exhibited gaps in handling hateful and extremist inputs and require improvements to reduce harmful responses and better counter such narratives.
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