Gerbrand Ceder’s vision of designing new materials entirely through computation, without the need for physical experiments, is a groundbreaking concept. I agree with the potential of this idea, as computational tools and machine learning are advancing rapidly, allowing for accurate predictions of material properties. However, I believe it is unrealistic to think computation alone can replace experiments entirely. Physical testing is crucial for validating theoretical predictions and understanding the complexities and unforeseen behaviors that arise in real-world conditions. While this vision is exciting, I see it as a long-term goal that may take decades to fully realize. For now, a balance between computation and experimentation is the most practical and effective approach to material discovery.