Nick Cammarata, a researcher at Goodfire, published a 26,000-word claim that neural networks may be substantially more interpretable than previously thought—arguing neurons often encode simple patterns like V-shapes—and his findings provoked widespread debate and skepticism among prominent AI researchers.