Replying to @MissConstrue@mefi.social
@MissConstrue one of the things this highlights is a general failure mode of OpenAI due to their overall bias towards faith in scaling as a panacea. rather than do the obvious, easy thing and apply a safety-checking image classification network at the end of the generation pipeline, they attempt to RL and ad hoc suppress unsafe results, because combining their big model with a smaller model would admit that scaling doesn't work here. they also obviously didn't take the requisite amount of effort to clean the training data due to, again, faith in scaling--leave the horrific images in and deal with it later because more data is better no matter what. this has been a problem with OpenAI since the very beginning and continues to haunt everything they do.