When Models Disagree With Themselves: Turning Multimodal Conflict into Signal
Opening — Why this matters now Multimodal AI is quietly becoming infrastructure. From document parsing to autonomous agents navigating web interfaces, models are now expected to reason across text, images, and structured data simultaneously. And yet, beneath the surface, they suffer from a surprisingly human flaw: they contradict themselves. The same model can look at a webpage screenshot and its HTML source and confidently produce two different answers. Not uncertain—confidently wrong in two different ways. ...