Practical utility for large language models, not intellectual curiosity or existential risk, drew researchers toward AI alignment. This shift integrated safety concepts into mainstream machine learning. LessWrong argues that foundational problems remain unsolved despite this increased attention. Practitioners now prioritize alignment methods that improve immediate model performance over theoretical safety frameworks.