A recent article argues that viewing large language models merely as next-token predictors is a flawed mental model that obscures their true capabilities. While technically accurate at the architectural level, this reductionist perspective fails to capture the complex reasoning and emergent behaviors these systems actually exhibit. Experts urge the tech community to adopt broader conceptual frameworks to better understand and develop future artificial intelligence technologies.