According to God of Prompt on Twitter, traditional pruning methods in neural networks assume a single pruning mask fits all data, which can limit performance and adaptability. Samsung's RTL (Routing the Lottery) method challenges this by discovering specialized subnetworks in neural networks, each tailored to distinct classes, clusters, or conditions. This approach optimizes neural network performance by adapting to specific data characteristics, offering significant advancements for AI developers seeking more efficient and flexible machine learning models.