Nick Cammarata published the essay Neural Networks Are Already Clean on October 18, 2026, arguing that most neurons in large models are legible and that superposition findings were largely artifacts of blurry tools and old architectures. He reports that about 9 in 10 detectors in a modern OpenAI model have one main job, against 2% explainable in GPT-2 in 2023. Cammarata and colleagues are now applying the approach to current models and plan to publish technical results soon. The claim drew praise from OpenAI's Rune and skepticism from Google DeepMind's Neil Nanda, who called it interesting but not a significant update to the big picture.