Interpretability research grows as scrutiny of LLM internals increases

Mechanistic interpretability research aims to map the internal workings of large language models. While companies like Anthropic and OpenAI host philosophical discussions on model consciousness, critics argue more compute should be directed toward safety research rather than model scaling.