Arena reports GPT-6 model variants' false attribution rates
We also looked into False Attribution, where the agent attributes a statement, request, choice, approval, or fact to the user, but user-p...
AISummary
Arena found that some models misquote users while others credit users with others' work in false attribution cases. GPT-6 Luna and Astra rarely misquoted users, at 15.6% and 28.6%, but often misattributed statements, at 53.1% and 48.2%. Sibling model GPT-6 Sol had the highest rate of misstating the user's history, at 23.5%.
Source: Arena · x.com