While inductive biases offer several advantages in improving robustness, efficiency, and extensibility in neural field architectures like RING-NeRF, there are potential limitations or drawbacks to consider. One limitation is that overly strong biases may restrict model flexibility and generalization across diverse datasets or tasks. Additionally, designing effective inductive biases requires domain expertise and careful consideration to ensure they enhance performance without introducing bias or hindering model capabilities.