R1-Zero-Like Training is a method in AI model training that aims to optimize performance while minimizing resource consumption. However, critical perspectives highlight potential challenges, including the risk of overfitting and dependency on high-quality training data. As AI continues to evolve, exploring such training methods becomes increasingly significant for achieving efficient and powerful models while addressing ethical concerns in AI development.