A new proposal on LessWrong argues that text-based training fails to prepare agents for real-world autonomy. The author suggests shifting focus from code generation to specialized action-oriented data. This approach aims to solve the environment problem in agent evaluation. Practitioners must now weigh static datasets against dynamic, interactive training loops.