[acka]

Exactly. Without models being truly open source, (training data, training procedures, alignment etc.), there is no way for auditors to assess, for example, whether a model was trained on data exhibiting certain forms of selection bias (anything from training data or alignment being overly biased towards Western culture, controversial political or moral viewpoints, particular religions, gender stereotypes, even racism) which might lead to dangerous outcomes later on, whether by contamination of derived models or during inference.