A new series on LessWrong argues that AI alignment shifted from a hard scientific pursuit to iterative system patching. The author claims fear and deceptive reasoning drove alignment researchers to actually accelerate LLM scaling. This suggests a fundamental failure in the field's original mission to solve generalizable safety before deployment.