By Sohybe Ibrahim Abdelwahab Amer | June 2026 The Google DeepMind mechanistic interpretability team (Neel Nanda et al.) suggested a deliberate shift; instead of relying on reverse-engineering of model internals, they proposed validating interpretability tools against proxy tasks that keep tracking safety towards a "North Star". I think this is...
By Sohybe Ibrahim Abdelwahab Amer | April 2026 In their path of interpretability, the Google DeepMind mechanistic interpretability team (Neel Nanda et al.) shifted their focus from reverse-engineering to a pragmatic approach. A Pragmatic Vision for Interpretability proposes a compelling reorientation of mechanistic interpretability research — away from reverse-engineering for...
By Sohybe Ibrahim Abdelwahab Amer | April 2026 In their path of interpretability, the Google DeepMind mechanistic interpretability team (Neel Nanda et al.) shifted their focus from reverse-engineering to a pragmatic approach. A Pragmatic Vision for Interpretability proposes a compelling reorientation of mechanistic interpretability research — away from reverse-engineering for...