I think it kind of makes most sense if we think of it as training vs inference-scaling (while keeping in mind that Sol, Terra, Luna are also…

This post discusses the conceptual distinction between training-scaling and inference-scaling in machine learning models, while acknowledging related frameworks or concepts (possibly referencing Sol, Terra, and Luna as alternative or complementary models for understanding scaling dynamics). The discussion likely explores how scaling laws and resource allocation differ between the training and deployment phases of AI systems.

Source: Sebastian Raschka (X) | 2026-07-10