Scaling a protein model is what lets RL beat trial-and-error protein design

This blog post discusses the advantages of scaling a protein model in order to improve reinforcement learning in protein design. It highlights a comparison between AI-driven approaches and traditional trial-and-error methods, revealing that larger models provide a better starting point for successful outcomes in protein design.